The problem

Enterprise technology decisions are made on trust,
not evidence.

Every major platform decision still runs on analyst decks, vendor demos and whoever spoke last in the room.

Slow

Months of workshops and vendor calls to reach a decision that should take weeks.

Opaque

Recommendations arrive without the reasoning behind them. You get a name, not an argument.

Biased

Advice shaped by who sponsors the report, not by what fits your landscape.

Watch Donna work

Not a form. A mind at work.

You

We run SAP S/4HANA, Azure and Power BI across 3,000 users. What should our next data platform be?

Illustrative example, not a live query. Try it yourself below, or see the full methodology.

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Turn complex requirements into a clear decision

Describe your landscape and what you're trying to do. Donna compares real alternatives against it and builds a recommendation, with the reasoning attached.

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Your enterprise decision starts here

The full picture: architecture, cost, risk and fit.

Architecture

Cost & value

Risk & security

Platform fit

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Watch a real decision take shape

A realistic enterprise decision, worked through the way Donna works through yours.

Illustrative exampleTechnology StrategyTransformation Decisions

SAP BW modernization

Modernize SAP BW into SAP Business Data Cloud, Databricks, Microsoft Fabric, or a hybrid architecture?

Context

Customer input

A global manufacturer runs SAP BW on HANA alongside a patchwork of point to point extracts feeding regional reporting. Reporting is slow to change, data is duplicated across three systems, and AI initiatives have no governed foundation to build on.

Priorities

Preserve SAP-native reporting continuityCreate a governed foundation for AIReduce duplicate data flowsKeep migration risk manageable

Shortlist

SAP Business Data CloudRecommended

Strongest SAP-native continuity, governed foundation ships largely pre-built

Databricks

Strongest AI and data science flexibility, more integration work upfront

Microsoft Fabric

Best fit if Power BI and Microsoft 365 are already central to reporting

Hybrid (SAP BDC + Databricks)

SAP-native core with open compute for advanced AI workloads

Recommendation

Calculated

SAP Business Data Cloud, with Databricks as a companion platform for advanced AI workloads

The governed SAP-native foundation directly resolves the duplication problem with the least new integration work, while a companion AI platform avoids boxing in future data science ambitions.

AI interpretation

Read this as

This removes a structural blocker to every AI initiative that depends on trustworthy company-wide data.

Trade offs

Faster continuity with SAP BDC trades off some of the open ecosystem flexibility a pure Databricks or Fabric path would offer
Running two platforms (SAP BDC plus Databricks) adds operational surface area versus a single-platform choice

Risks

Calculated

Migration sequencing risk if legacy extracts aren't decommissioned on schedule
Skills gap for teams new to the governed data product model

Assumptions

Assumption

Regional reporting requirements stay materially similar during migration
No near-term divestiture or acquisition changes the SAP landscape

What could change this recommendation

Databricks becomes the better fit if ai and data science ambitions grow faster than the sap-native roadmap can support.

Microsoft Fabric becomes the better fit if power bi and the microsoft stack become the primary reporting surface company-wide.

Staying on SAP BW becomes the better fit if the ai and governance case turns out to be weaker than expected once scoped in detail.

Explore more example decisions

ClouDonna evaluates every vendor the same way. Same criteria, every time. No vendor can pay for a better score, or a better position.

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Enterprise Decision Intelligence

Built to be trusted, not just used

Evidence-based

Every recommendation cites its sources: reviews, benchmarks, market data. Not opinion.

Deterministic scoring

The same input produces the same score, every time. AI narrates the reasoning; it never decides the outcome.

Auditable

Full audit trail. Row-level security. A decision record nobody can quietly edit.

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Enterprise Decision Intelligence.

Enterprise technology decisions are made on trust, not evidence.