Pillar · Innovate

Make SAP Data Actionable

Trusted data and analytics for faster, better business decisions.

The challenge

More Data Does Not Mean Better Decisions

Inconsistent KPIs and manual reports

Different definitions for the same business KPI, and critical reports dependent on manual extraction and spreadsheets.

Lost semantics and duplicated models

SAP business semantics lost when data moves between platforms, duplicated data models and inconsistent transformation logic, and slow access to cross-functional and near-real-time insight.

Weak governance and adoption

BW and legacy reporting modernization without a clear target path, weak data ownership, quality controls and lineage, and analytics delivered without adoption or decision integration.

A modern data foundation must preserve business meaning, establish trust and bring insight into the decisions where action is taken.

How we help

Connect Data, Meaning and Decisions

We create a governed data and analytics capability that combines SAP context with enterprise-wide information.

01

Data and Analytics Strategy

Decision and information-needs assessment, current landscape and pain-point analysis, a Business Data Cloud adoption roadmap, platform and workload placement, and value and modernization priorities.

02

Data Foundation

SAP and non-SAP source integration, SAP Datasphere architecture, data products and domain organization, semantic and analytical modeling, and hybrid and multi-cloud patterns.

03

Analytics and Planning

SAP Analytics Cloud dashboards, executive and operational reporting, self-service analytics enablement, enterprise planning scenarios, and embedded and contextual analytics.

04

Governance and Trust

Business definitions and a KPI catalog, data ownership and stewardship, quality rules and reconciliation, lineage and change control, and security and access governance.

05

Modernization and Adoption

BW workload assessment, report rationalization, a migration and coexistence roadmap, user enablement and adoption, and performance and lifecycle improvement.

Business benefits

Trusted Insight at Business Speed

One Business Meaning

Shared definitions and semantic models reduce disagreement across functions.

Faster Insight

Connected data and reusable models shorten the path from question to answer.

Less Manual Reporting

Automated data flows and dashboards reduce spreadsheet dependency.

Better Decisions

Analytics and planning bring context, trends and scenarios into management routines.

Modernized Architecture

A deliberate target model reduces duplicated platforms and aging reporting assets.

AI-Ready Data

Governed, contextualized data provides a stronger foundation for intelligent applications and agents.

Methodology

Begin with the Decision

Five phases from decision needs to embedded, high-value adoption.

  1. 01

    Discover

    Identify decision needs, data domains, users, pain points and current architecture.

  2. 02

    Define

    Establish business terms, data products, ownership and quality expectations.

  3. 03

    Architect

    Design source connectivity, modeling, security, lifecycle and platform placement.

  4. 04

    Deliver

    Build prioritized models, analytics and planning use cases with user validation.

  5. 05

    Adopt

    Embed insight into decision routines and improve the portfolio using usage and value evidence.

Engagement scenarios

Data Enablement for SAP Priorities

Executive Analytics

Create governed views across finance, supply chain, operations and transformation.

SAP Datasphere Foundation

Establish domains, connectivity, semantic models and operating governance.

SAP Analytics Cloud Adoption

Design dashboards, planning models and decision-focused user experiences.

BW Modernization Assessment

Classify workloads and define migration, coexistence and retirement paths.

AI-Ready Data Products

Prepare trusted, contextual data for intelligent applications and agent workflows.

Why Global Core Technologies

Why Organizations Choose Global Core Technologies

SAP Business Context

We preserve process, hierarchy and semantic meaning across the data landscape.

Decision-Led Design

Analytics begins with management questions and actions — not available visualizations.

Architecture and Governance

Platform, quality, security and ownership decisions are designed together.

Hybrid Landscape Experience

We connect SAP data with the broader enterprise ecosystem.

Adoption Focus

Solutions are measured by use and decision value, not only technical completion.

Turn Trusted Data into Action

Create a governed data and analytics foundation that accelerates insight, planning and AI-enabled decisions.