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AI-Powered Data Discovery 

If the initiative is ready but the data estate isn’t, intelligent agents can change that. Fast.

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Mapped data moves. 
Undocumented data doesn’t.

Automated data discovery services turn a fragmented estate into a trusted foundation in weeks — so the cloud migrations, AI initiatives and analytics programs waiting on it have somewhere to go.

Whether you have a platform or are still choosing, we’ve got you covered

Technical debt gone. Clean pipelines in.

Refactor legacy and multi-platform databases. Remove performance bottlenecks, produce clean pipelines and create architecture your cloud migration and AI initiatives need.

Database Refactoring 

Full estate visibility. 
Faster insights.

Intelligent agents automatically scan metadata across your full estate (databases, schemas and ETL code), building the inventory for migration and modernization. Dependencies classified, assets identified, insights ready from day one.

Accenture Agentic Discovery

Connected data. Analytics ready.

Structured data discovery, analytics and planning across SAP BDC and SAC for private and public cloud. Gain visibility into your data estate and build the foundation for cloud-based transformation.

SAP Data and Analytics

63% of organizations either do not have or are unsure they have the right data management practices for AI.¹

A few signals it’s time to act

The data team can’t account for what exists and where
Legacy databases and ETL pipelines haven't been inventoried. Migration planning and AI readiness assessments can't move forward until they are.
Cloud migration planning has stalled
Workload dependencies and active vs. inactive assets haven't been classified. Without that classification, sequencing the move is guesswork.
An AI or analytics initiative is blocked
The underlying data can't be trusted or accessed reliably, and no amount of model tuning fixes an undocumented foundation.
Multi-platform databases are carrying technical debt
Query performance is slow and modernization risk is rising. Every quarter the pipelines stay unrefactored costs more than the fix.

What sets us apart

Automated discovery, a proven delivery model and one team accountable from first scan through cutover

DISCOVERY APPROACH
Always current
Agentic architecture keeps the data estate inventory continuously updated — not accurate at one point in time and stale a month later.   
IMPLEMENTATION SPEED
Weeks, not quarters
Pre-built accelerators compress mid-market engagements, and the roadmap is in hand before momentum is lost.
OPERATIONAL SCALE
2,000+ environments

Our experience across all types of projects reduces your risk while enabling you to move fast across mid-market data environments.

ENGAGEMENT MODEL
One lead throughout
The team that scopes the solution builds it, and stays accountable from the first discovery conversation through production cutover.

Know what to expect before we start

01

Define 

Before anything is proposed, we scope the data estate problem — what exists, where it lives and what's blocking the initiative it's supposed to support. The solution comes after the diagnosis.  

02

Deploy

Automated scanning begins on a pre-approved commercial structure. Pre-built accelerators mean no standing start and no lengthy procurement.  

03

Prove

Inventory, dependency classification and a roadmap sequenced by risk and readiness give the data team visibility into the full estate, tracked against a baseline set before work began.  

04

Expand

Refactored pipelines, clean architecture and ongoing governance as the program grows. The architecture scales with the business. 

Clear deliverables, measurable outcomes

  • Automated data estate inventory across all sources with dependency classification 
  • Active and inactive asset identification and a risk-prioritized migration roadmap 
  • Refactored database estate with clean pipelines and architecture your teams can build on 
  • Interactive dashboards that give the data team real-time visibility into the full estate 
  • A documented baseline and architecture reference the team can maintain and build on 

Let’s take the first step

Clear visibility into your data. AI and analytics programs unlocked.

Talk to us

Sources
¹ Gartner, Lack of AI-Ready Data Puts AI Projects at Risk, 2025..