Enterprise analytics costs are often spread across multiple BI tools, reports, datasets, licenses, and infrastructure resources which makes it difficult for organizations to understand where their analytics investment is actually going. Datalogz gives teams a single, real-time view of usage, ownership, and asset-level activity across every connected BI resource, including who is accessing critical reports and dashboards.
By understanding which reports, dashboards, and datasets are actively used and which are not, teams can identify optimization opportunities without disrupting the analytics resources users depend on every day.
Analytics environments naturally grow over time, creating unused reports, redundant datasets, and capacity that no longer supports an active business need. Datalogz surfaces this waste automatically by analyzing usage patterns and relationships between assets, instead of relying on manual, one-off reviews.
This includes flagging duplicate dashboards and redundant datasets that quietly add to storage, compute, and maintenance costs so teams can address inefficiency before it becomes next quarter's baseline spend.
Finding potential savings is only the first step; enterprise teams also need a reliable way to decide what to act on first. Datalogz helps teams prioritize optimization work by highlighting underutilized resources, overlapping analytics assets, and capacity considerations that affect performance and cost, so decisions are based on business impact rather than manual assumptions.
Automatically identify inactive users and downgrade or reassign licenses without disrupting active teams.
Consolidate near-duplicate dashboards into a single certified version, cutting storage and maintenance overhead.
Review premium capacity allocation against actual compute demand to avoid paying for headroom you don't use.
Archive or decommission datasets and reports that haven't been accessed in months, reducing footprint without losing history.
40,000 pro & 3,000 premium licenses
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25 capacities, 50k per capacity per month
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12 TB data, 40,000 reports
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Datalogz continuously analyzes metadata across every connected BI tool — licenses, capacities, reports, and datasets — to surface where spend is going and where it is being wasted. Rather than a one-time audit, it runs as an ongoing process, flagging new cost-saving opportunities as usage patterns change.
Datalogz evaluates the three biggest drivers of BI spend: licensing (Pro, Premium, and Premium-Per-User costs), premium capacities (compute allocated to workspaces), and warehouse-related costs tied to duplicate or poorly structured reports, which together typically make up the majority of an enterprise's analytics budget.
Yes. Datalogz tracks actual login and usage activity per license, distinguishing between users who need premium access and those consuming a license without using its features, making it possible to reclaim or downgrade licenses without guessing which ones are truly inactive.
Every duplicate report adds to storage, refresh compute, and maintenance overhead, even when no one is actively using it. At enterprise scale this duplication compounds quickly, since teams often rebuild a report instead of finding one that already exists. Datalogz identifies these duplicates so they can be consolidated or retired.
Yes. Datalogz tracks capacity usage down to specific timestamps and workspaces, helping teams understand what is driving Capacity Unit (CU) consumption under Fabric's F-SKU pricing model, making it possible to right-size capacity instead of over-provisioning to avoid throttling.
No. Datalogz identifies and prioritizes optimization opportunities — it does not delete or modify assets without action from your team. Every recommendation is surfaced with supporting usage data, so teams can review and approve changes such as license reclamation or report archival before anything is actioned.
