Pyramid Analytics & AI - frequently asked questions

Yes, AI agents built on other platforms can use Pyramid's semantic layer, and inside ServiceNow this is now how ServiceNow ADA (Autonomous Data Analytics) works: the governed semantic layer is the shared, trusted ground truth that Fabric-style data agents, Copilot Studio agents and ServiceNow's own AI agents reason against, which reduces the risk of agents hallucinating figures or contradicting each other. Live Connect and the Context Engine supply the live data and business context the agents read. See what is ServiceNow ADA?.

Yes, Autonomous Data Analytics and the standalone Pyramid (now ServiceNow ADA, Autonomous Data Analytics) platform work with Microsoft Fabric and Power BI data by querying a Fabric lakehouse or warehouse in place through its SQL endpoint, alongside ServiceNow, Snowflake, SAP and other sources, so a business can run Fabric as the data platform, Power BI for Microsoft reporting and Pyramid or Autonomous Data Analytics for cross-source and ServiceNow-embedded analytics on one set of definitions. See what is a semantic model?.

Yes. Hopton can advise you if you're evaluating ServiceNow and Pyramid (now ServiceNow ADA, Autonomous Data Analytics) together for the first time. This is a common starting point for organisations that use ServiceNow for IT, HR, or supply chain workflows and want to understand what embedding governed analytics into those workflows would actually look like and cost, before committing to either platform in more depth.

Hopton can help you decide between Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) and Power BI rather than assuming Pyramid is the answer, and we would rather have that conversation honestly upfront. If your data estate is genuinely Microsoft-centric and your governance and cost profile favours Power BI, we will tell you that directly rather than push Pyramid because we are a partner for both. The right platform depends on your data sources, deployment constraints, and existing Microsoft investment, not on which one earns us a larger margin.

Yes. Pyramid Analytics can be deployed on-premise. Unlike many modern BI platforms that are cloud-only, Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) supports cloud (SaaS), on-premise, and hybrid deployment. This makes it suitable for regulated industries, such as financial services, healthcare, and public sector, where data residency, sovereignty, or security requirements prevent cloud-only deployments.

Yes, Pyramid Analytics can still be deployed on-premise, in the cloud or hybrid after the ServiceNow acquisition, because the standalone Pyramid Decision Intelligence Platform continues to be sold and supported with Newton as the current release; ServiceNow ADA (Autonomous Data Analytics) is the cloud route for organisations already on the ServiceNow AI Platform. See the Pyramid platform page.

Yes. Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can be deployed for a subset of users first rather than the whole organisation, and we would usually recommend it. A phased rollout, starting with a specific business function or a defined group of power users, lets you prove value, refine the semantic model, and build internal champions before extending licences more broadly, which tends to produce better adoption than a big-bang organisation-wide launch.

Yes, Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can connect to Microsoft Teams through a webhook-based connection for alerts and notifications. Deeper native integration with Microsoft Office or Google Workspace applications is more limited than some competing tools, which is worth knowing if embedded Office collaboration is a priority for your rollout. Our Pyramid Analytics page covers how we work with the platform.

Yes. Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can do data science and machine learning, not just dashboards. Data science is one of the three pillars Pyramid combines with data preparation and business analytics, and the platform supports building and applying predictive models as part of the same workflow used for reporting, rather than requiring a separate specialist tool.

Yes. Pyramid (now ServiceNow ADA, Autonomous Data Analytics) can embed inside applications other than ServiceNow. Embedded analytics in Pyramid is not exclusive to ServiceNow, dashboards and GenBI can be embedded inside other internal applications and portals as well. ServiceNow is simply the most direct embedding path now that Pyramid is part of the same company.

Yes, Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can pull data directly from SAP: SAP is one of the source systems Pyramid connects to directly, alongside the major cloud data platforms, which is relevant for organisations running SAP alongside Microsoft or other analytics infrastructure.

Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can work alongside Microsoft Fabric or Snowflake rather than replacing them, and this is the most common pattern we see. Pyramid connects directly to Fabric, Snowflake, Databricks, Azure Synapse, Redshift, and SAP among many others, so it typically sits as an analytics and semantic layer on top of whatever platform already holds your data, rather than requiring you to migrate that data anywhere first.

Yes. Access and functionality can be tailored by user type. Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) uses profiles to tailor which modules and functionality a given user sees, so a casual report viewer is not presented with the same modelling and authoring tools as an analyst or data scientist, which helps avoid the platform feeling overwhelming to less technical users.

Yes, adoption of a Pyramid estate that somebody else deployed is improved without a new platform by running role workshops to find the decisions, governing the semantic layer, configuring generative BI with the business's vocabulary, embedding content where people work, retiring the content nobody opens and training each role on real tasks, in eight to twelve weeks on the existing licence. See Pyramid and Power BI side by side for where Pyramid fits.

No, existing Pyramid (now ServiceNow ADA, Autonomous Data Analytics) customers do not have to move to ServiceNow: the Pyramid Decision Intelligence Platform continues to be sold, supported and upgraded as a standalone product in cloud, on-premise and hybrid deployments, and Autonomous Data Analytics is an additional route for organisations that already run ServiceNow and want the analytics inside their workflows. See the platform page.

No. You do not need Pyramid (now ServiceNow ADA, Autonomous Data Analytics) already deployed before Hopton can help with ServiceNow embedding. We can scope and deliver the Pyramid platform and the ServiceNow embedding together as one engagement if you are starting from scratch, or add embedding to an existing Pyramid deployment if you already have one running standalone.

No, you do not need to be a ServiceNow customer to use Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics). Pyramid remains usable as a standalone decision intelligence platform independent of ServiceNow's other products. The embedded workflow scenarios are additive for organisations that run both, not a requirement to use Pyramid at all.

Generative BI does not eliminate the need for a BI or analytics team, and we would be sceptical of anyone claiming it does. GenBI reduces the volume of ad hoc, repetitive questions that land on an analytics team, freeing them for higher-value modelling and strategic work. It does not remove the need for someone to build and maintain the semantic model, connections, and governance that make GenBI's answers trustworthy in the first place.

Hopton implements only the analytics layer, not ServiceNow itself. We are not a ServiceNow platform implementation partner in the ITSM or ITOM sense, and we do not build or configure core ServiceNow workflows, tables, or modules. Our ServiceNow partner status specifically covers embedding Pyramid's decision intelligence platform into a ServiceNow environment that a client already has, or is implementing with a dedicated ServiceNow partner alongside us. It is the same division of labour we apply on Business Central: we work with the platform partner, not as the platform partner. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

No. Hopton does not only work with clients who are also on ServiceNow. Most of our Pyramid (now ServiceNow ADA, Autonomous Data Analytics) work is independent of ServiceNow. We do the embedded-in-ServiceNow work for clients where that is relevant, but Pyramid stands on its own as a decision intelligence platform for clients with no ServiceNow footprint at all.

Yes, Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics) still exists as a standalone product after the ServiceNow acquisition: the Pyramid Decision Intelligence Platform is sold and supported under its own name for cloud, on-premise and hybrid deployment, with Newton as the current release and the partner programme continuing. ServiceNow customers additionally get the engine as Autonomous Data Analytics. See the Pyramid platform page.

Yes. Pyramid Analytics does work with non-Microsoft data sources. Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) connects directly to over 250 data sources, including Azure, Snowflake, SAP, Salesforce, Google BigQuery, SQL Server, Oracle, and many others, querying data in place without requiring it to be moved or duplicated. This makes it particularly well suited to organisations with complex, multi-cloud, or hybrid data environments. It is not tied to any single vendor ecosystem.

Pyramid does not charge per user in the same simple per-seat way that Power BI does. Because pricing reflects role mix and deployment scale rather than a flat per-user rate, the total cost is more sensitive to how many higher-tier (Analyst and Professional) seats you provision than to your total viewer population. Getting that role mix right is one of the first cost-optimisation conversations we have with clients evaluating Pyramid (now ServiceNow Autonomous Data Analytics, or ADA).

Yes. Pyramid does have a universal client across devices. Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) uses a single client architecture that works across web, desktop, and mobile, so the same content and permissions apply regardless of the device a user opens it from.

Pyramid (now ServiceNow ADA, Autonomous Data Analytics) and ServiceNow Performance Analytics are not the same thing, and ServiceNow has not indicated it is retiring either. Pyramid adds a broader, cross-source decision intelligence layer, direct query across 250-plus sources, data science, and Generative BI, that extends well beyond the scope of ServiceNow's built-in reporting, which is more narrowly focused on ServiceNow's own data.

Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) does not necessarily require an ETL or data warehouse layer underneath it. Its direct query model is designed to work against operational systems and warehouses alike without a mandatory extraction step. That said, for very large or complex estates, having a well-modelled warehouse or lakehouse underneath still improves performance and simplifies the semantic model, so we do not treat direct query as a reason to skip good data architecture altogether.

Yes. Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) does support predictive analytics as well as descriptive dashboards. Its data science module supports forecasting and predictive modelling as a native part of the platform, rather than requiring the output of a separate data science tool to be re-imported for visualisation.

Yes, Pyramid's Model module supports conventional dimensional modelling, and organisations moving between the two platforms generally find their existing star-schema thinking transfers, even though the underlying engines and calculation languages differ. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

A Pyramid rollout does not necessarily need a large dedicated internal team, but you do need clear ownership, typically an admin or platform owner internally, supported by power users in each business area. We build enablement into every engagement specifically so that capability sits inside your organisation rather than staying dependent on us indefinitely. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Being part of ServiceNow makes Pyramid both a safer and a riskier choice for new deployments, in different ways. It is a safer choice in the sense that Pyramid (now ServiceNow ADA, Autonomous Data Analytics) now sits inside a much larger, well-capitalised platform business with a clear strategic rationale for continued investment in its core technology (the semantic layer and direct query engine). It carries more uncertainty in the sense that product roadmaps, packaging, and pricing under new ownership can shift, and it is too early to say exactly how. We talk clients through both sides rather than only the reassuring one.

Neither the Partner of the Year status nor Hopton's accreditation changes now that Pyramid is part of ServiceNow, not that has been announced. Existing partner accreditations and recognitions carried over at close of the acquisition. Whether ServiceNow changes the structure of Pyramid's partner programme going forward is one of the things we are watching, in the same way we are watching the wider product roadmap. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

The ServiceNow acquisition does not change Pyramid's data governance model, not that has been announced. ServiceNow's own positioning emphasises trusted governance as a selling point of the combined offering, which suggests continuity rather than a weakening of Pyramid's governance model, but this is an area we would want to see demonstrated in practice as the integration matures rather than take purely on messaging. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

The acquisition does not change what Pyramid does technically: the governed semantic layer, the PYRANA direct query engine, generative BI, root-cause analysis, scenario modelling and the data science workbench are the same capabilities ServiceNow names as the engine of ServiceNow ADA (Autonomous Data Analytics). What ServiceNow has added around the engine is Live Connect, a direct SQL path to live ServiceNow operational data, the Context Engine for business context, and KPI monitoring that triggers workflows and AI agents when a threshold is crossed. See what ServiceNow added to Pyramid.

To get started with a Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) conversation with Hopton, email hello@hoptonanalytics.com or use the contact details on hoptonanalytics.com. The first conversation is typically a short discovery discussion about your current data landscape and where Pyramid might genuinely add value, rather than a generic product demo.

To start a ServiceNow and Pyramid (now ServiceNow ADA, Autonomous Data Analytics) conversation with Hopton, email hello@hoptonanalytics.com. Tell us where you currently stand with ServiceNow and Pyramid individually, whether you have neither, one, or both already, and we will scope the conversation accordingly rather than assume a starting point.

You get high user adoption of a Pyramid Analytics deployment by designing content around each role's real decisions rather than the platform's features, governing the semantic layer so generative BI answers are trusted, embedding content where people already work, training each role on its own tasks with its own data, and measuring the decisions made with the platform rather than logins. Pyramid's own figure is that 72 per cent of data teams that trial it keep using it. Our Pyramid Analytics and ServiceNow ADA page describes our enablement.

You measure adoption of an analytics platform by counting the decisions it was built for that were made with it in the period, and what happened next, rather than logins or page views, which measure activity; the decisions are named in the role workshops at the start, so the count is small, specific and reviewed monthly alongside the numbers themselves. See what does a decision intelligence maturity model look like?.

Power BI and Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) solve overlapping but different problems. Power BI is the dominant, cost-effective choice for governed dashboards and reporting inside the Microsoft ecosystem, and it is where most mid-market businesses should start. Pyramid Analytics is a decision intelligence platform: it adds a no-code, governed environment where non-technical users can prepare data, build analytics and run generative BI and data science against many data sources without moving the data. In practice the two are often complementary rather than either-or, Power BI for broad reporting, Pyramid where you need self-service preparation, advanced analytics and querying across mixed sources under strong governance. The right choice depends on your data landscape, the level of self-service you want, and your governance requirements. Hopton Analytics delivers both Power BI and Pyramid Analytics and can advise which fits your situation.

Pyramid Analytics and Power BI overlap on self-service reporting and differ on where they belong: Power BI is the default reporting layer for a Microsoft estate on Fabric, while Pyramid, now also sold as ServiceNow ADA (Autonomous Data Analytics), is the choice when the organisation runs ServiceNow, needs on-premise or hybrid deployment, or needs governed querying across many non-Microsoft sources without moving data. Many businesses run both on one set of definitions. See Power BI vs Tableau vs Qlik for the wider comparison and our Power BI page.

Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) and Power BI are both enterprise-grade analytics platforms, but they solve different problems. Power BI is a Microsoft-native dashboarding and reporting tool, it excels within the Microsoft ecosystem and is best suited to organisations with strong Microsoft investment and primarily dashboard-driven use cases. Pyramid Analytics is a governed decision intelligence platform, it excels at serving mixed user populations, querying diverse non-Microsoft data sources, delivering Generative BI at scale, and supporting on-premise or hybrid deployments. Many large organisations use both. Hopton works with both platforms and will recommend the right fit for your situation.

Compared to Power BI, Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) takes a different approach: Power BI is deeply embedded in the Microsoft ecosystem and licensed simply per user, with a large community and rapid feature release cadence. Pyramid's advantages are its single-platform breadth (BI, data prep, and data science together), its direct query model across a very wide range of non-Microsoft sources, and its role-based rather than strictly per-user licensing at scale. Which is right depends heavily on how Microsoft-centric your data estate already is and whether you need the data science and cross-source querying Pyramid brings natively.

Pyramid handles row-level security by controlling access down to the row level, so two users looking at the same report or the same GenBI answer only see the rows their role and permissions entitle them to, which matters as much for AI-generated answers as it does for traditional dashboards. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) handles very large datasets through PYRANA, which is designed for in-place querying against large datasets without requiring the data to be moved into an in-memory model first, and Pyramid also supports in-memory and hybrid model types where that suits performance needs better. Which mode is right depends on data volume, refresh frequency, and query pattern, and this is one of the first things we assess in a Pyramid discovery phase.

Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) supports auditing and compliance through built-in auditing and usage monitoring, which tracks who accessed what content and when. This supports both general compliance requirements and the more practical need to understand which content is actually being used, so licensing and governance decisions can be based on real usage rather than assumption.

Pyramid's Generative BI and Copilot in Power BI both aim to let business users ask questions in plain English, but they are grounded in different semantic layers, Pyramid's own model versus Power BI's dataset and measures, and Pyramid's GenBI has a longer track record specifically as a dedicated natural-language querying capability, having been a core part of the product before generative AI became a mainstream BI feature. In practice, the better answer depends on which platform already holds your governed semantic definitions. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

ServiceNow ADA (Autonomous Data Analytics) fits as the analytics layer on top of ServiceNow's real-time data foundation: Workflow Data Fabric connects data from outside ServiceNow without copying it, with the ServiceNow Data Catalog for discovery, lineage and a shared glossary; RaptorDB Pro is the platform's database, with Live Connect giving analytics direct SQL access to live operational data; the Context Engine maps people, roles, assets, services and policies so answers carry business context; and ADA turns all of it into answers, explanations and triggered decisions, with AI Control Tower governing any agent that acts on them. See our Pyramid Analytics and ServiceNow ADA page.

ServiceNow ADA (Autonomous Data Analytics) improves adoption by surfacing Pyramid's analytics inside the ServiceNow workspaces, Teams and Slack conversations where people already work, with Live Connect reading the operational data as it is and KPI monitoring raising a decision in the workflow when a threshold is crossed, so nobody has to go and find a dashboard; the analytics and the action are in the same place. See what is ServiceNow ADA?.

UX design factors significantly into a Pyramid rollout. A platform this capable can overwhelm business users if every module and function is exposed by default, which is a criticism levelled at Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) in independent reviews. Designing interfaces and dashboards around how your specific users actually work, rather than accepting default templates, is one of the areas we focus on most, and it is a meaningful driver of adoption versus a standard deployment.

Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) pricing is quote-based rather than published as a fixed price list, and varies by deployment size, user mix, and data volume. Licensing is typically structured around user roles, broadly Viewers, Analysts, and Professionals (data scientists and BI architects), with cost driven far more by how many Professional and Analyst seats you need than by total headcount using the platform.

Pyramid's GenBI is governed, rather than being a chatbot bolted onto the data, because every answer it produces is generated against the same semantic model, row-level security, and role-based permissions that apply to every other part of the platform. A user cannot get an answer through natural language that they could not have reached through a standard report, which is the key distinction Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) draws between GenBI and an ungoverned AI chat layer sitting outside the BI tool.

ServiceNow ADA (Autonomous Data Analytics) is different from a BI tool because a BI tool stops at the visualisation, whereas Autonomous Data Analytics runs on live, governed data inside the ServiceNow AI Platform, explains the root cause of a change using business context, and acts on it by triggering a workflow or an AI agent when a KPI crosses a threshold; the dashboard is the start of the loop rather than the end of it. See what is decision intelligence? for why that matters.

A typical Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) implementation takes four to six months: around four weeks to agree the decisions it will serve, the definitions, the sources and the security model, then three to five months to build the semantic layer, connect the sources, build and test the content with the people who will use it, and enable administrators, power users and analysts. Larger data estates, stricter governance or more source systems sit at the upper end. Fixing adoption on an estate that is already live is a smaller piece of work, typically eight to twelve weeks. See our Pyramid Analytics and ServiceNow ADA page.

Documenting a Pyramid semantic layer properly takes about a day for most mid-market deployments: gathering the people who understand the current definitions, writing them down against each metric and dimension, and agreeing the version everyone will use going forward. Treat the output as a living document rather than a one-off exercise, and set aside similar time each year to keep it current as the business changes. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Hopton has worked with Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) for a meaningful part of our history, though we do not publish the exact date we became a Pyramid partner. That work sits alongside the eight years of governed analytics delivery for UK and Ireland organisations across our wider Microsoft and Pyramid work combined.

Pyramid can connect to data sources through more than 250 built-in connectors, spanning cloud warehouses (Snowflake, Databricks, Microsoft Fabric, Azure Synapse, Redshift), ERP and CRM systems (including SAP), and a wide range of databases and files. Its direct query architecture means most of these connections avoid a separate extraction step. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

ServiceNow and Pyramid did not disclose the exact figure ServiceNow paid for Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics). It has been reported in the press as being in the region of several hundred million dollars.

Generative BI in Pyramid should be set up by configuring the business's own vocabulary, synonyms and definitions in the semantic layer, certifying the models it may answer from, testing the questions people actually ask with the people who ask them before launch, and reviewing wrong answers weekly in the first months, because one confident wrong margin loses trust that a governed answer in under 30 seconds then earns back slowly. See what is a semantic model?.

Already using ServiceNow does not automatically make Pyramid (now ServiceNow ADA, Autonomous Data Analytics) the obvious BI choice, but it is a strong reason to evaluate Pyramid seriously, particularly if embedding analytics inside existing ServiceNow workflows would remove real friction for your teams. It is not automatically the right answer for every use case. If most of your reporting need sits in the Microsoft stack (Power BI, Fabric, Business Central), that remains a valid and often simpler path. We look at where the analytical work actually happens before recommending either.

A ServiceNow customer should usually adopt its data and AI products in the order each one depends on the last: make Platform Analytics reporting on ServiceNow data trusted first, connect the external systems the questions need through Workflow Data Fabric, add the Context Engine and ServiceNow ADA (Autonomous Data Analytics) for cross-system analysis, root cause and KPI triggers, and only then let AI agents act on those triggers within decision rights governed by AI Control Tower. Each step relies on the definitions agreed at the step before. See what is ServiceNow ADA?

Yes, Hopton is a ServiceNow partner as well as Pyramid Analytics' UK Partner of the Year, and we implement, design and support both the standalone Pyramid Decision Intelligence Platform and ServiceNow ADA (Autonomous Data Analytics), alongside the Microsoft Fabric and Power BI estates most of our clients run with them. Our Pyramid Analytics page describes the services.

Yes. Hopton is a ServiceNow partner. Alongside being Pyramid Analytics' UK Partner of the Year, Hopton is also listed as a ServiceNow partner, which is what lets us deliver Pyramid (now ServiceNow ADA, Autonomous Data Analytics) analytics embedded directly into ServiceNow workflows for clients who run both.

Yes. Hopton is an official Pyramid Analytics partner. Hopton is Pyramid (now ServiceNow ADA, Autonomous Data Analytics) Analytics' UK Partner of the Year, and we are also a ServiceNow partner, which matters directly for clients wanting Pyramid embedded into existing ServiceNow workflows.

Yes, Hopton is still a Pyramid Analytics partner after the ServiceNow acquisition, remains Pyramid's UK Partner of the Year, and is a ServiceNow partner, so one team implements the standalone Pyramid platform and ServiceNow ADA (Autonomous Data Analytics) alongside Microsoft Fabric and Power BI. See our Pyramid Analytics page.

Yes, Pyramid Analytics is now part of ServiceNow, which completed the acquisition in March 2026 and sells Pyramid's platform as ServiceNow ADA (Autonomous Data Analytics), built into the ServiceNow AI Platform, while the standalone Pyramid Decision Intelligence Platform continues under its own name. See what it means if you run Pyramid today.

No, Pyramid Analytics is no longer an independent company: ServiceNow announced the acquisition on 12 February 2026 and completed it on 10 March 2026, and Pyramid now operates as part of ServiceNow, with its engine sold as ServiceNow ADA (Autonomous Data Analytics) inside the ServiceNow AI Platform and the standalone Pyramid Decision Intelligence Platform continuing under its own name. See Pyramid Analytics is now part of ServiceNow.

Pyramid Analytics and ServiceNow ADA (Autonomous Data Analytics) share the same engine: Autonomous Data Analytics is Pyramid's platform built into the ServiceNow AI Platform with added anomaly detection, Context Engine business context, Live Connect access to ServiceNow data, and workflow and AI agent triggers, while the standalone Pyramid Decision Intelligence Platform continues under its own name. See Pyramid Analytics is now part of ServiceNow.

No. Pyramid is not a cloud-only product. It can be deployed in the cloud, on a private cloud, on-premises, in a hybrid configuration, or hosted and managed by Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) or a partner. This flexibility is one of the reasons organisations with regulatory or data residency constraints that rule out a cloud-only tool still consider Pyramid.

For organisations migrating off Tableau, Qlik, or MicroStrategy, Pyramid is a credible destination, particularly where the driver is consolidating BI, data prep, and data science into a single platform rather than running three separate tools. We have run these migrations and structure them to preserve existing reports while opening up what Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) adds on top.

Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) can be suitable for regulated industries with strict data residency requirements: its support for on-premises and private cloud deployment, combined with direct query rather than mandatory data duplication, makes it a workable option for organisations with residency or regulatory constraints that would rule out some cloud-only competitors. The specifics still need to be checked against your particular regulatory regime rather than assumed.

ServiceNow's acquisition of Pyramid is similar to how other platform vendors have acquired BI tools: there is a recognisable pattern of large platform vendors acquiring analytics companies to add a semantic and AI-grounding layer, and the rationale ServiceNow has given echoes similar moves by other software vendors in recent years. What is different about the Pyramid (now ServiceNow ADA, Autonomous Data Analytics) deal is the emphasis on grounding AI agents in trusted metric definitions specifically, rather than analytics for its own sake.

Adoption is not different in method for Pyramid and for ServiceNow ADA, because the engine, the semantic layer and the generative BI are the same; what ServiceNow ADA adds is the strongest form of embedding, analytics and triggered decisions inside the ServiceNow workflows people already run, which removes the step of going to find a dashboard and is why ServiceNow estates often adopt faster. See what is ServiceNow ADA?.

Pyramid has offered lower-cost or free entry tiers aimed at individuals and small teams historically, alongside its quote-based enterprise tiers. Given the ServiceNow acquisition, we would confirm current tier availability directly with Pyramid (now ServiceNow ADA, Autonomous Data Analytics) or Hopton rather than relying on older public pricing pages, since packaging can change under new ownership.

No, you should not stop using Pyramid Analytics after the ServiceNow acquisition: the standalone Pyramid Decision Intelligence Platform continues to be sold, supported and upgraded, with Newton as the current release, and the same engine is now also available as ServiceNow ADA (Autonomous Data Analytics) for organisations on the ServiceNow AI Platform. The sensible work is to keep the deployment governed and documented, and to decide whether ServiceNow is in your estate's future, because that decides which route you take. See what to do if you run Pyramid today.

No. This was not ServiceNow's only recent acquisition. Pyramid (now ServiceNow ADA, Autonomous Data Analytics) was one of several data and AI-related acquisitions ServiceNow made in a short period, alongside companies including Data.World and Veza, all aimed at strengthening the data, governance, and semantic layer underneath its workflow platform.

Hopton holds Level 3 Pyramid Analytics accreditation, which sits alongside our Microsoft Partner status. The award recognises the outcomes we have delivered for clients; the accreditation reflects the technical certification our team holds on the platform itself. The two are related but not the same thing. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

The main modules inside Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) are the six core modules of what it calls its Analytics OS: Model (semantic modelling), Formulate (calculations and business logic), Discover (data exploration and querying), Illustrate (visualisation), Present (dashboards and storytelling), and Publish (distribution and scheduling). A further module, Tabulate, gives users a spreadsheet-style interface directly inside the platform.

ServiceNow ADA (Autonomous Data Analytics) works with ServiceNow's own operational data through Live Connect and with external sources queried in place through Pyramid's connectors, which ServiceNow lists as SAP, Snowflake, Databricks, data lakes and files, and which in practice include Microsoft Fabric, SQL Server, Azure and Salesforce, so analytics spans the ServiceNow estate and the systems around it without copying the data. See the Pyramid platform page.

On Pyramid engagements, Hopton delivers platform implementation (environment, connections, semantic modelling, security), UX and dashboard design, Generative BI enablement and training, embedded analytics into existing applications or ServiceNow workflows, migration from legacy BI tools, and structured training and enablement programmes for admins, power users, and analysts. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

Pyramid (now ServiceNow ADA, Autonomous Data Analytics) analytics embedded in ServiceNow workflows looks like this: instead of a user leaving their ServiceNow workspace to open a separate BI portal, Pyramid content, dashboards, KPIs, or a Generative BI question box, sits inside the ServiceNow interface the person is already using to manage tickets, cases, or requests. The aim is to let a decision get made at the point the work is happening, rather than requiring a detour through a different system.

ServiceNow adds three things to Pyramid (now ServiceNow ADA, Autonomous Data Analytics) in Autonomous Data Analytics: Live Connect, a direct SQL path to live ServiceNow operational data without extracts; the Context Engine and Workflow Data Fabric, which supply business context and governed data assets for root-cause analysis and prediction; and the workflow and AI agent layer, which turns a KPI crossing a threshold into an approval, escalation or action inside the workflow. See how decision intelligence is built for the Microsoft equivalent.

A ServiceNow-embedded Pyramid engagement with Hopton involves the same core work as any Pyramid (now ServiceNow ADA, Autonomous Data Analytics) implementation, semantic modelling, data source connections, security configuration, dashboard and GenBI design, with the additional step of surfacing that content inside the specific ServiceNow workspaces, portals, or workflows your teams already use, so analytics appears in context rather than in a separate tool.

Documenting a Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) semantic layer means writing down, in one place, what every key metric and dimension in your model represents. Most Pyramid deployments have this knowledge sitting in one or two people's heads rather than in the platform itself, which is a risk regardless of who owns Pyramid. A properly documented semantic layer survives staff changes, platform changes and ownership changes.

For existing Pyramid customers, the ServiceNow acquisition changes nothing operationally in the near term: existing deployments, licences, and support arrangements continue. The medium-term picture depends on ServiceNow's product direction, which is still unfolding. We would encourage existing customers to have a direct conversation with their account team about their specific renewal timeline rather than relying on general market commentary. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

Now that ServiceNow has acquired Pyramid Analytics, the Pyramid engine is sold in two forms: the standalone Pyramid Decision Intelligence Platform, which continues under its own name with Newton as the current release, and ServiceNow ADA (Autonomous Data Analytics), the same engine built natively into the ServiceNow AI Platform with KPI monitoring that triggers workflows and AI agents. Existing deployments keep working and keep being upgraded, and Hopton remains Pyramid's UK Partner of the Year and a ServiceNow partner for both routes. See what is ServiceNow ADA?.

Pyramid is used across higher education, technology, government, engineering, hospitality, and financial services, among others, and its reference base skews towards larger and more analytically mature organisations. Hopton's own Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) deployments have concentrated on retail, food and drink, and professional services clients in the UK mid-market to enterprise range.

AI Analytics is the broad term for analytics platforms and approaches that use artificial intelligence to enhance how organisations access, interpret, and act on data. It covers Generative BI, augmented analytics, predictive analytics, smart discovery, and embedded intelligence. Pyramid Analytics is an AI Analytics platform. When Hopton talks about AI Analytics, we mean governed AI analytics, not AI that produces outputs you cannot trust or audit. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Decision Intelligence is Pyramid (now ServiceNow ADA, Autonomous Data Analytics) Analytics' positioning for what their platform does, it connects data, analytics, and the decisions that organisations need to make, in one governed environment. The idea is that analytics should not end at a dashboard. It should feed directly into a decision, and where possible, into the workflow that enacts that decision. With Pyramid now part of ServiceNow, Decision Intelligence is increasingly delivered directly inside enterprise workflow systems.

Embedded Analytics means analytics capability built directly into another application, portal, or workflow, rather than sitting in a standalone BI tool. Instead of users switching to a separate analytics platform to answer a question, the analytics appears inside the system they are already working in. Pyramid Analytics supports fully white-labelled embedded analytics, including within ServiceNow. Hopton designs and implements embedded analytics experiences, including the UX and UI design layer, so that the analytics feels native to the system it lives inside. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

Generative BI (GenBI) is Pyramid's natural-language querying capability. A user types a business question in plain English and receives a governed answer, typically in under thirty seconds according to Hopton's own deployment benchmarks, drawn from the same semantic model and security rules that govern every other part of the platform, rather than a separate, ungoverned AI layer bolted on top. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Generative BI (GenBI) is an AI-powered capability within Pyramid Analytics (now ServiceNow Autonomous Data Analytics, or ADA) that allows users to ask questions about their data in plain English, and receive a governed, trusted answer automatically, without needing to write SQL, build a report, or wait for an analyst. Pyramid's GenBI engine interprets the natural language query, identifies the relevant data sources, applies your governance rules, and returns the result in under 30 seconds. It differs from general AI assistants in one critical way: every answer is governed. It cannot return an ungoverned or hallucinated result, because it queries your actual connected data under your defined rules.

Hopton runs a five-stage approach for Pyramid (now ServiceNow Autonomous Data Analytics, or ADA): Discover (auditing your data landscape and decision-making needs), Design (architecture, semantic model, UX wireframes, and governance agreed up front), Build (environment setup, connections, dashboards, and security in structured sprints), Enable (structured training for admins, power users, and analysts), and Evolve (ongoing support and optimisation).

Hopton Analytics was named Pyramid Analytics Partner of the Year, the highest recognition awarded to a Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) implementation partner. Our capability covers the full implementation lifecycle: platform architecture, data source connection, semantic model design, UX and UI design for dashboards and embedded experiences, Generative BI configuration, user training, and adoption programmes. We also bring a Microsoft data engineering practice, which means the underlying data estate that Pyramid connects to is well-structured, governed, and reliable.

Live Connect is the ServiceNow capability announced at Knowledge 2026 that gives analytics engines, Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics) first among them, direct SQL access to live ServiceNow operational data without pipelines or copies, so Autonomous Data Analytics reports on tickets, assets, cases and HR records as they are rather than through an extract. See what is ServiceNow Autonomous Data Analytics?.

Master Flow is Pyramid's mechanism for managing data pipelines and content dependencies in a controlled way, supporting version control and consistency as content moves from development into production. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

PYRANA is Pyramid's direct query engine. It translates the queries a user builds through Pyramid's interface into ANSI SQL or MDX and runs them against the source system in place, which is what allows Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) to avoid extracting and duplicating data into its own store.

Pyramid Analytics is now called ServiceNow ADA (Autonomous Data Analytics) when it runs inside the ServiceNow AI Platform, following ServiceNow's acquisition in March 2026, while the standalone product keeps the name Pyramid Decision Intelligence Platform, with Newton as the current release. The engine is the same in both. See what is ServiceNow Autonomous Data Analytics?.

Pyramid Analytics is an AI-powered decision intelligence platform that gives every person in an organisation, from analysts to the board, governed, self-service access to data. Unlike traditional BI tools, Pyramid (now ServiceNow ADA, Autonomous Data Analytics) queries data directly at the source without duplication, connects to over 250 data sources, and uses Generative BI to answer questions in plain English in under 30 seconds. It was acquired by ServiceNow in March 2026 and is now part of the world's leading enterprise workflow platform.

RaptorDB Pro is the database native to the ServiceNow AI Platform, handling operational and analytical workloads together, and Live Connect is its SQL access for analytics providers, which reads live operational data such as tickets, assets and cases directly with no pipeline or copy; Live Perform scales analytical processing and Live Archive lets historical and live data be queried together. See what is ServiceNow ADA?

ServiceNow ADA is the shorthand for ServiceNow Autonomous Data Analytics, the analytics product ServiceNow built from Pyramid Analytics' engine after acquiring it in March 2026: a governed semantic layer, plain-English generative BI, self-service reports, root-cause analysis and KPI monitoring that triggers workflows or AI agents inside the ServiceNow AI Platform. ADA is not an official product name, so look for the full name on ServiceNow's pages. See what is ServiceNow Autonomous Data Analytics?.

ServiceNow AI Control Tower is where an organisation governs its AI: which agents exist, what they are allowed to do and what they did, with the ServiceNow MCP Registry, a private registry of approved MCP servers, controlling which tools agents can reach; it is the governance for step five, after definitions, thresholds and decision rights are agreed. See an AI agent needs decision rights, not just intelligence.

ServiceNow ADA (Autonomous Data Analytics) is the enterprise analytics product built natively into the ServiceNow AI Platform from Pyramid Analytics' engine after ServiceNow completed the acquisition in March 2026: a governed semantic layer, plain-English generative BI, self-service reports, root-cause analysis, scenario modelling and data science tools, plus KPI monitoring that triggers workflows or AI agents when a threshold is crossed. Our Pyramid Analytics page describes how we implement it.

ServiceNow Autonomous Data Governance, announced at Knowledge 2026 alongside Autonomous Data Analytics, continuously monitors data for quality, observability and privacy issues, flags violations and enforces security and privacy policies, building on the ServiceNow Data Catalog so the data that ServiceNow ADA (Autonomous Data Analytics) and agents use is checked before it is trusted. See our Pyramid Analytics and ServiceNow ADA page.

ServiceNow Workflow Data Fabric is the layer that connects data from outside ServiceNow to its workflows, analytics and agents without copying it: zero-copy connections to ERP, HR, finance and data platforms, the ServiceNow Data Catalog for discovery, lineage and a shared glossary, and RaptorDB Pro with Live Connect for direct SQL access to live operational data, with ServiceNow Otto helping teams build curated, governed data assets. See how ServiceNow's data and AI products fit together.

ServiceNow is the leading enterprise platform for workflow automation and digital operations, used by 85% of Fortune 500 companies. It manages how work gets done across IT, HR, customer service, finance, and operations at some of the world's largest organisations. In February 2026, ServiceNow announced the acquisition of Pyramid Analytics, completing the deal in March 2026. The strategic rationale is that ServiceNow manages workflows; Pyramid (now ServiceNow ADA, Autonomous Data Analytics) provides the decision intelligence that should inform them. Together, they embed AI-powered analytics directly into enterprise operations, not as a reporting afterthought, but as a core part of how decisions get made and acted on.

Tabulate is Pyramid's built-in spreadsheet interface, giving users a familiar grid-based way to work with data directly inside the platform rather than exporting to Excel and losing governance and lineage in the process. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

Migrating from Tableau or Qlik to Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) mirrors any BI migration: inventory existing reports and identify which are still actively used, translate the underlying data models and calculations into Pyramid's semantic layer, rebuild dashboards against that model, and run both platforms in parallel briefly to validate parity before decommissioning the legacy tool.

The Pyramid Analytics Partner of the Year award is Pyramid's annual recognition of the partner delivering the strongest outcomes across its network, based on delivery quality, customer results, and business growth with the platform. Hopton holds the UK title. We have not published the specifics of the award cycle or ceremony on this FAQ, so for more detail we would point you to a direct conversation or to hoptonanalytics.com. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

The ServiceNow Context Engine is a continuously updated map of an organisation's people, roles, assets, services and policies and how they relate, launched at Knowledge 2026, which grounds AI answers and agent decisions in business context so that an anomaly comes with who owns it, what it affects and which policy applies. See how ServiceNow's data and AI products fit together.

In a Pyramid implementation that goes badly, two things account for most of the difficulty we see: skipping proper semantic modelling. Both are avoidable with a structured Discover and Design phase. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

The difference between ServiceNow Platform Analytics and Autonomous Data Analytics is scope and action: Platform Analytics is the reporting, dashboards and performance analytics built into every ServiceNow instance, working mainly on ServiceNow's own data, while ServiceNow ADA (Autonomous Data Analytics), built on Pyramid Analytics' engine, queries ServiceNow and external data together in plain language, explains why a number moved, monitors KPIs and triggers a workflow or an AI agent when a threshold is crossed. Most customers start on Platform Analytics and add ADA when their questions reach beyond ServiceNow. See what is ServiceNow ADA?

The practical link between Pyramid Analytics and ServiceNow today is that Pyramid (now ServiceNow ADA, Autonomous Data Analytics) is a ServiceNow company and Hopton is both a Pyramid partner and a ServiceNow partner. Practically, that means Pyramid's analytics can be embedded directly inside ServiceNow workflows and portals, so a user working an IT, HR, or supply chain process in ServiceNow can see governed analytics in context rather than switching to a separate BI tool.

The semantic model is the layer that defines what a metric means once, centrally, so that "revenue" or "active customer" means the same thing everywhere it is used across dashboards, ad hoc queries, and Generative BI answers. This is the piece industry analysts point to as the reason ServiceNow wanted Pyramid: it gives AI agents a consistent, mathematically grounded definition to reason against, rather than each agent inferring meaning independently and risking contradictory answers. Pyramid Analytics is now also sold as ServiceNow ADA (Autonomous Data Analytics), the same engine inside the ServiceNow AI Platform.

What makes Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) different from a conventional BI tool is direct query, the core difference is direct query. Most BI platforms require data to be extracted, ingested, and duplicated into the tool's own store before it can be analysed. Pyramid queries source systems directly through its PYRANA engine, using ANSI SQL or MDX under the hood, so data stays where it lives and users work against current, governed data rather than a stale copy.

A Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) deployment needs ongoing support beyond initial implementation: ongoing semantic model maintenance as source systems and business definitions change, user administration as roles shift, and periodic platform optimisation as usage grows. We build this into our Evolve phase rather than treating go-live as the end of the engagement.

If you run Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics) today you should carry on, audit the deployment for a governed semantic layer, certified datasets, documented definitions and a named owner, confirm the upgrade path to the Newton release, and decide whether ServiceNow is in your estate's future, because that determines whether you stay standalone or surface the same analytics inside ServiceNow as Autonomous Data Analytics. Our free audit covers the first step.

The training that gets people using Pyramid Analytics is a session per role, administrators, power users and business users separately, using their own data and the questions they actually ask, followed by each business team's own power user running the next session within three months, which is the point at which capability has moved into the organisation; a two-hour feature tour produces people who have seen the platform rather than people who use it. See our Pyramid Analytics page.

ServiceNow announced its acquisition of Pyramid Analytics on 12 February 2026 and completed it on 10 March 2026. Pyramid's engine now powers ServiceNow ADA (Autonomous Data Analytics) inside the ServiceNow AI Platform, while the standalone Pyramid Decision Intelligence Platform continues to be sold and supported. See Pyramid Analytics is now part of ServiceNow: what it means if you run it today.

Pyramid was founded in 2008 by Omri Kohl, who served as its Chief Executive Officer. The company is headquartered in Amsterdam, with additional offices in London, New York City, and Tel Aviv. Pyramid Analytics is now also sold as ServiceNow Autonomous Data Analytics (ADA), the same engine inside the ServiceNow AI Platform.

In Gartner's 2026 reports ServiceNow, assessed together with the recently acquired Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics), was placed furthest for Completeness of Vision in the Magic Quadrant for Analytics and Business Intelligence Platforms dated 29 June 2026 and ranked first across all use cases in the Critical Capabilities report dated 15 July 2026. See what the analytics consolidation wave means for your platform choices.

The parts of ServiceNow that Pyramid supports are, in practice, wherever ServiceNow ADA (Autonomous Data Analytics) is deployed: IT service management, HR, customer service, operations and supply chain workflows, with Live Connect giving the engine direct SQL access to the live operational data in each and analytics surfacing in ServiceNow workspaces, Microsoft Teams and Slack. ServiceNow's early statements named IT, HR and supply chain as the first focus areas. See what is ServiceNow ADA?.

ServiceNow ADA (Autonomous Data Analytics) in the UK is implemented by ServiceNow partners with Pyramid Analytics experience, because the product is Pyramid's engine inside the ServiceNow AI Platform; Hopton Analytics is both a ServiceNow partner and Pyramid's UK Partner of the Year, and implements, designs and supports Autonomous Data Analytics, the standalone Pyramid platform and the Microsoft Fabric and Power BI estates that usually sit beside them. See our Pyramid and ServiceNow page.

ServiceNow's stated reason for acquiring Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics) is to embed intelligence directly into the workflows that run a business, rather than leaving analytics as a separate destination staff have to visit. Pyramid brings a governed semantic layer and a high-performance direct query engine that ServiceNow did not previously have at that depth, and the acquisition is widely read as part of ServiceNow's broader move from being a workflow execution layer towards what it calls a "system of intelligence" that can ground AI agents in trusted, shared definitions of business metrics.

ServiceNow bought Pyramid Analytics to embed governed analytics directly into the workflows that run a business rather than leaving analytics as a separate destination, and the result is ServiceNow ADA (Autonomous Data Analytics): Pyramid's semantic layer, generative BI, root-cause analysis and data science built into the ServiceNow AI Platform, with Live Connect reading live operational data and KPI thresholds triggering workflows and AI agents. Gartner placed ServiceNow, including Pyramid, furthest for Completeness of Vision in the 2026 Magic Quadrant for Analytics and BI Platforms. See what is ServiceNow ADA?.

Pyramid Analytics deployments fail to get adopted when the content was built from the demo rather than from each role's job, when generative BI was switched on over an ungoverned model and returned a wrong answer early, when the platform sits in a separate portal nobody visits, and when training was a feature tour rather than a session on real tasks; none of these is the software, and all are fixable in eight to twelve weeks on the existing licence. See how do you turn dashboards into decisions?.

Hopton has moved beyond a Microsoft-only focus because the best answer for analytics and decision intelligence is not always a single-vendor stack. Hopton built its practice on Microsoft technologies, Power BI, Azure, Microsoft Fabric, because for most UK mid-market organisations, Microsoft is the right foundation for a governed data estate. That has not changed. What has changed is that the best answer for analytics and decision intelligence is not always a single-vendor stack. Pyramid Analytics (now ServiceNow ADA, Autonomous Data Analytics), now part of ServiceNow, delivers AI-powered decision intelligence at a scale and with a governance model that complements, rather than replaces, the Microsoft data platforms we build on. We added Pyramid to our practice because our clients needed it, not because we were looking to expand our vendor portfolio.

A Microsoft-focused consultancy like Hopton also offers Pyramid because not every client's data estate is Microsoft-only. Where an organisation's data genuinely sits across a mix of platforms, Redshift, Databricks, SAP, and Microsoft Fabric together, for example, or where on-premises or hybrid deployment is a hard requirement Power BI cannot meet, Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) is often the better-fitting tool. We position it alongside Power BI as the complementary option for those situations, not as a replacement for our core Microsoft-native practice.

You would choose Hopton over another Pyramid (now ServiceNow Autonomous Data Analytics, or ADA) partner for three things we would point to: UX and UI design depth that is specifically aimed at driving adoption rather than just reaching go-live; Microsoft-native data engineering capability for organisations running a mixed Microsoft and non-Microsoft estate; and a governance-first delivery approach that builds trust in the platform's outputs from day one rather than retrofitting governance after launch.

Yes. Hopton will keep supporting Pyramid deployments through the ServiceNow transition. As both a Pyramid (now ServiceNow ADA, Autonomous Data Analytics) partner and a ServiceNow partner, we are positioned to support clients through whatever direction the integration takes, and we will continue to give clients a straightforward, non-speculative view of what has actually been confirmed versus what remains a roadmap intention as the acquisition matures.

There is no indication that Pyramid will eventually only work with ServiceNow data. Pyramid's value has always been its ability to query broadly across an organisation's entire data estate, not just one system, and ServiceNow's own messaging talks about extending Pyramid's reach rather than narrowing it. We would treat any claim that Pyramid (now ServiceNow ADA, Autonomous Data Analytics) is becoming ServiceNow-only with scepticism until it is confirmed by ServiceNow directly.

Yes, Pyramid is still sold as a standalone analytics platform: the Pyramid Decision Intelligence Platform continues under its own name, with Newton as the current release, for cloud, on-premise and hybrid deployment, and is still delivered by partners such as Hopton. The same engine is additionally sold as ServiceNow ADA (Autonomous Data Analytics) inside the ServiceNow AI Platform for organisations that run ServiceNow. Long-term standalone pricing and packaging have not been published. See the Pyramid platform page.