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Datalogz Control Tower

Control the analytics mess AI is creating inside your enterprise's consumption layer.

Everyone governs the warehouse. We govern what the business actually uses.

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app.datalogz.io / bi-360 / overviewLIVE
Why this is happening now

Enterprise analytics are growing exponentially without guardrails

AI made creating analytics almost free. One prompt now does what used to take a data team weeks, and every employee, every agent, is shipping their own metrics, dashboards, and decisions.

Access was never the bottleneck. Alignment is. Datalogz is built to protect the one thing that is actually scarce: consistent business context.

Analytics assets created over time

AI adoption
Before AIToday
Where truth actually lives
Decision layerOne consistent business context

Enterprise truth lives in the decision layer

The truth about your business does not live in one system. It is split across Salesforce, Microsoft, Snowflake, Databricks, BI tools, and the people using all of it every day.

Most vendors ask you to solve this by hand, rebuilding your business inside another catalog or semantic layer that is outdated the moment it ships. Datalogz does not ask you to re-document anything. It observes how your stack is actually used, and reconciles the logic behind it automatically and continuously.

Govern every analytics tool — from BI to AI

Datalogz monitors the enterprise analytics stack

Analytics in the AI era
Traditional BIDashboards, reports & datasets · 1,000s per enterpriseEstablished
Data platforms & filesWarehouses, sheets & exports · the layer underneathFoundation
Agentic BI / GenBIAI-generated analytics · autonomous reasoning · accelerating fastEmerging
Why it matters

Save millions. Trust Analytics. Align every metric.

$2M+
01 · Save millions

Cut the spend you can’t even see

Idle licenses, unused dashboards, and runaway refreshes burn budget around the clock. Datalogz prices every inefficiency and recovers it.

Hundreds of thousands to millions recovered
10×
02 · Trust AI analytics

Answers you can stand behind

Feed clean, governed context to your dashboards and LLMs, so every answer — human or AI — traces back to one source of truth instead of the sprawl.

10× cleaner context for AI
98%
03 · Analytics similarity

Know which reports really match

Our proprietary similarity engine scores every report and metric on 14+ parameters to surface true duplicates and definition drift.

98% duplicate & drift detection
100%
04 · Aligned definitions

The right number, in context

Every metric can be clearly documented, with an AI layer that has the context to know exactly which number you mean.

100% of metrics documented & in context
Built for the AI era
12,480 reports today
10×

Most are near-duplicates — spun up by prompts and agents faster than anyone can review.

“What was Q3 net revenue?”asked 4 ways
Semantic misalignment
Sales_Dashboard_v4$48.2M+$1.3M
FinanceWeekly$46.9Mbaseline
GenBI agent · prompt$51.0M+$4.1M
Exec_Deck_Final.xlsx$47.7M+$0.8M
Δ $4.1M spreadOne question. Four answers. Which one goes to the board?
Datalogz certifies one definition — every tool and every AI reads the same number.$47.7M

AI doesn’t fix sprawl. It makes it 10× worse.

Chat-driven analytics and agents spin up reports faster than any human team, with none of the judgment. Every prompt can spawn another near-duplicate dashboard, and an LLM grounded in a messy BI layer will confidently hand everyone the wrong number.

The teams winning with AI are the ones cleaning the consumption layer first, so models learn from accurate context, not contradictions.

Give your LLMs context they can actually trust.

Datalogz maps every asset, owner, definition, lineage, and usage signal across your BI stack. Connect that governed context to any LLM or agent over MCP (Model Context Protocol), so AI answers from the single source of truth instead of the sprawl.

Datalogz context
Definitions & metrics
Lineage & ownership
Usage & health signals
What’s canonical vs deprecated
Certification & trust status
Sensitivity & access policy
Freshness & refresh state
Over
MCP
One secure, read-only context endpoint
LLMs & agents

Grounded answers that cite the right asset — not a stale duplicate.

Inside the Control Tower

Automate running your analytics environment in the AI era.

One control tower for every dashboard, dataset, and dollar, so your team and your AI work from the truth.

01BI 360 OverviewSee your entire BI estate in one view — and exactly where trust is breaking.02Executive SummaryHand leadership a board-ready health & risk briefing every morning.03Team InventoryPinpoint which team owns the waste and risk — and route the fix.04BI Similarity ClustersKill the duplicate dashboards quietly fracturing your numbers.
BI 360 executive summary dashboard overview
Datalogz Team Inventory
Datalogz BI Similarity Clusters
4,419 datasets5,262 reportshealthy vs unhealthy
Proven at enterprise scale

Realized value, measured in dollars.

Every action Datalogz takes is auditable, reversible, and tied to a figure on your contract.

2.5M+
BI assets governed across platforms
1.4M+
issues & optimizations identified
$50M+
in quantified enterprise value delivered
20–30%
BI compute reduction, validated on-contract
Governance, not a one-time cleanup

You don’t clean your house once.

LIVEAutonomous governance · running 365 days
Value protected & recovered
$12,840,500
Guardrails — always on
End conflicting numbersDuplicate & drift detection
Contain data & access riskAccess & sharing policy
Trust every refreshRefresh & freshness rules
One number leadership trustsCertified-metric enforcement
Stop runaway BI spendCost & capacity limits
Live governance feedauto-resolving
Idle license flagged — Power BI Pro unused 90dRESOLVED
Duplicate report retired — Sales_v3 merged into Sales_v4RESOLVED
!Metric drift detected — Revenue def mismatch Q4DETECTED
Stale dataset decommissioned — 847 days since last accessRESOLVED
1,284,907 issues resolved automaticallynever stops
Great Point Ventures
“
These systems are becoming overrun with orphaned data products and dashboards — it’s where data goes to die.
DJ PatilFormer U.S. Chief Data Scientist · General Partner, Great Point Ventures
What does it take to move from analytics Sprawl to AI-ready decision intelligence?

See Our Gartner Presentation with Georgia-Pacific and PepsiCo

This is decision infrastructure

Every enterprise will remain multi-tool. The enduring infrastructure is not another system of record. It is the independent layer that aligns every system of record you already have. Data infrastructure made enterprise data usable. Datalogz makes the decisions built on that data consistent, reliable, and portable.

End analytics sprawl. Make AI analytics thrive.

SOC 2 Type 2 Secure connection. See your savings modeled live, against your real contract.

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Frequently asked

Questions about decision infrastructure

Decision infrastructure is the connected layer of dashboards, metrics, pipelines, and AI copilots that an organization actually makes decisions on. It is not another system of record. It is the independent layer that aligns every system of record you already have, so a number means the same thing whether it comes from a dashboard, a report, or an AI assistant. Datalogz builds that layer by connecting to the analytics, warehouse, and AI tools already in place and surfacing duplication, conflicting definitions, and access risk.

A catalog inventories data assets and a semantic layer standardizes metric definitions for querying. Both require you to model the business by hand first, and both begin drifting the day they ship. Decision infrastructure works in the opposite direction. Datalogz observes how your BI, data, and AI tools are actually used, reconciles the logic behind them continuously, and requires no migration or re-documentation. Governance reflects the live state of the environment rather than a snapshot someone maintains by hand.

AI made creating analytics almost free, which moved the bottleneck from access to alignment. Copilots answer instantly, but they inherit every conflict already sitting in the environment: duplicate reports, mismatched metric definitions, ungoverned access. Rather than flagging those conflicts for review, AI tends to hide them behind a confident-sounding answer, so misalignment is not caught until it has already shaped a decision.

No. Every enterprise stays multi-tool. Datalogz connects to your existing analytics tools, warehouses, and business applications through their APIs and service accounts. It reads metadata to surface duplication, wasted spend, and governance gaps across the stack you already run, so nothing in place needs to be migrated or rebuilt.