One source of truth.
Trusted everywhere.

Best in KLAS is an annual ranking from KLAS Research, scored from verified ratings submitted by the customers who use each product. Dimensional Insight has been ranked the #1 Data & Analytics Platform 11 times across KLAS reports between 2009 and 2025, currently holds a KLAS overall score of 91.7, and is a named Consistent High Performer. Because the rating is built from customer feedback, it mostly reflects ordinary, day-to-day things: whether the product does what was promised, whether the same support people stay with an account over time, whether questions actually get answered, and whether the analytics fit the way a given organization works. Those are the things customers point to, and they’re the parts of the job the team works to keep getting right.

It removes the thing that creates most reconciliation in the first place: the same metric defined in several different places that slowly drift apart. Diver Platform connects to your source systems and unifies them into one consistent model, then applies a single governed definition of each measure on top of it. Because every report draws from that shared model and those shared definitions, the figures line up by construction, so there’s far less to reconcile to begin with. When the underlying data changes, the numbers update everywhere at once, which spares someone the job of rebuilding a stack of exports by hand. And since every measure can be traced back to its source and its calculation, the question that usually kicks off a reconciliation scramble — “where did this number come from?” — has an immediate, defensible answer. Teams that used to spend the opening hours of a reporting cycle assembling and double-checking numbers generally get that time back to interpret them.

Past the dashboards, four things tend to separate a tool you can run an organization on from one that mainly produces charts: governance, traceability, real self-service, and fit for your industry. Governance means the platform can hold the definition of a metric in one place and apply it everywhere, which is what ends the argument over whose number is right. Traceability means any figure can be followed back to its source and its calculation, which is what lets you defend a decision or clear an audit. Real self-service means analysts, directors, and frontline staff can each answer their own questions without sitting in a request queue, while still drawing on the same governed data underneath. Industry fit means the tool already understands the shape of your data and the rules you operate under, so the work becomes configuring it to your operation rather than bending your operation to it. It’s worth pressure-testing any shortlist against all four, because a tool can demo beautifully and still come apart on the criteria that matter once it’s carrying real decisions.

Governed analytics means the definitions, business rules, and access controls behind your numbers are managed centrally, so a given metric means the same thing everywhere and can always be traced back to how it was calculated. In an ungoverned setup, the logic that turns raw data into a KPI is scattered across individual dashboards, spreadsheets, and people’s heads, which is how one metric ends up with several values floating around the building. In a governed one, that logic lives in the platform itself: a measure is defined once, the calculation runs in a central engine, permissions decide who sees what, and an audit trail records how each figure was produced. The payoff is that analytics becomes something you can stand behind in a board meeting or a regulatory review, because the numbers are consistent, explainable, and tied to a single source of truth. In Diver Platform, governance is part of how the platform is built, which is why a metric defined once stays trustworthy as it travels across every team, every report, and every AI answer.