SAP BW → BDC Modernization with enterprise-ready AI

Your Data Core. Rewritten by AI.

We transform traditional data platforms into AI-powered ecosystems.

Modernize from SAP BW to SAP Business Data Cloud in weeks — not years — with a value-driven migration factory, intelligent hot/cold split, and enterprise-ready AI activation.

Weeks
Not multi-year modernization programs
AI-first
Assessment, mapping and value-based prioritization
Smart Split
Hot in BDC, cold cost-optimized
Built on the enterprise ecosystem
The challenge · The opportunity

SAP BW modernization has become too slow for the business.

We shift the paradigm: migration is no longer a multi-year technical program but a sequence of intelligent waves that deliver value in weeks.

THE CHALLENGE

Long, costly technical programs with no clear value.

  • Years of accumulated objects, reports and dependencies.
  • Historical growth that inflates cost and complexity.
  • Low visibility on what to migrate, redesign or archive.
  • Late business value when everything is treated as a technical conversion.
THE SMARTDATACLOUD SHIFT

An AI-assisted, value-driven migration factory.

  • Identifies high-value BW assets and prioritizes what matters.
  • Splits hot and cold data to reduce scope, cost and risk.
  • Accelerates waves with templates, automation and continuous QA.
  • Activates use cases that prove value in weeks.
Results

From multi-year programs
to value in weeks.

SmartDataCloud.ai turns BW modernization into an agile journey: diagnose fast, prioritize by value, migrate in waves, and activate AI-ready data products.

Accelerated time-to-value

Launch the first wave focused on critical domains, not the entire history.

Scope reduction

Use AI to decide what to migrate, redesign, archive or retire from the BW landscape.

Lower Modernization cost

Avoid moving unnecessary cold data to premium processing layers.

AI-ready foundation

Build semantic, governed and reusable data products for analytics and AI.

Methodology

A platform designed to accelerate modernization and enterprise autonomy with AI.

A practical 4-wave model to deliver visible results faster.

01

AI Assessment

Scan of BW objects, usage, dependencies, volumes, reports and business criticality.

02

Hot / Cold Split

Data classification by frequency, value, compliance and required performance.

03

Wave Migration

Migration by priority domains into SAP BDC with quality controls.

04

AI Activation

Conversion of data products into pricing, demand, revenue and planning use cases.

Smart Data Split

The right data, in the right layer.

Not all BW data is equally valuable. The key is moving the right data to the right layer, with the right performance and cost model.

Hot Data

Critical, active, high-performance data.

Hot data drives daily decisions, operational reporting, real-time analytics and AI use cases. It should be prioritized in SAP Business Data Cloud as reusable data products.

  • Recent transactional data
  • High-usage reports and executive KPIs
  • Data for AI, ML and advanced analytics
  • Domains with immediate value
Cold Data

Historical, low-usage and compliance-oriented data.

Cold data does not always need to move to high-performance layers. It can be archived, virtualized or stored in efficient tiers and exposed on demand.

  • Low-access historical records
  • Audit and compliance data
  • Reports with limited adoption
  • Candidates for archiving or virtualization
Use cases

Business value beyond modernization.

Modernization should unlock measurable outcomes, not just move data from one platform to another.

Pricing optimization

Improve margins with AI-driven recommendations.

Demand forecasting

Predict demand by product, region and channel.

Revenue leakage

Detect leaks, atypical discounts and deviations.

Intelligent planning

Reliable, connected, real-time data.

Customer 360

Unify signals to personalize experiences.

Modernize SAP BW
in weeks, not years.

Start with an AI Data Core Assessment and discover what to migrate, archive, redesign, and where to activate business value first.