Introduction
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Introduction
Service Offer

Analytics Strategy: Turning Data into Decisions - Systematically and at Scale

Most companies today have access to data. What’s missing are clear, consistent, and reliable decisions.

A modern analytics strategy delivers exactly that: it connects data, processes, and decision logic into a system that measurably improves decisions.

Why reporting is not enough

Many companies have invested in reports and dashboards for years.
Yet key questions remain unanswered:

  • Why are margins developing differently?
  • Which factors truly drive costs?
  • How reliable are forecasts?
  • Where will risks arise in the coming months?

The reason:
Reporting shows what has happened—it does not steer what will happen.

The Path to Data-Driven Decision-Making

Analytics evolves along a clear maturity model.
Only when this is built systematically does real value emerge:

This is exactly where the difference between reporting and decision-making emerges.

Ready for True Data-Driven Decisions?

We show you how to build your analytics strategy so that data translates into measurable business value.

Get In Touch With Us Now

Your Path to a Data-Driven Organization

BIG.Cube supports companies through three consecutive steps—from the technical foundation to productive AI deployment.

Stage 1

Data Platform

Reliable, integrated data foundation as the basis for analytics and AI.

Stage 2

Analytics Strategy

Reports, dashboards, and self-service for all business areas. From embedded analytics for operational reporting and integrated planning to usage in AI applications.

Stage 3

AI Readiness & Reliable AI

Reliable AI applications based on high-quality data.

Prerequisite: A high-performing analytics strategy requires a solid data foundation. Without reliable, integrated data, any analytics solution remains fragile.

To the Data Platform (Stage 1)

Four Dimensions of a Modern Analytics Strategy

An analytics strategy is not a set of tools, it is an integrated decision-making framework. We focus on four key areas of action:

Operational decision-making instead of isolated reports

Relevant KPIs are available where decisions are made.

  • Consistent metrics across all business areas
  • Integration into SAP processes without media discontinuities
  • Reduction of manual reporting effort
  • Faster decision cycles

Result: Decisions are based on up-to-date and consistent data.

Integrated planning as a decision-making tool

Planning evolves from an Excel-driven process into a central decision-making logic.

  • Integration of finance, sales, and supply chain
  • Real-time scenarios and simulations
  • Transparent plan vs. actual comparison
  • Higher forecast accuracy

Result: Planning becomes reliable and decision-relevant.

Self-service with governance instead of data chaos

Business teams work with data independently, without losing control.

  • Curated data models instead of uncontrolled data access
  • Guided analytics environments
  • Clear governance structures
  • Reduction of shadow IT and Excel-based solutions

Result: Greater speed while maintaining consistent data quality.

From analysis to prediction and action

The critical step: analytics becomes predictive.

  • Predictive models for forecasts and risk assessment
  • Prescriptive approaches for concrete action recommendations
  • Automated analytics and anomaly detection
  • Preparation for AI-driven decision-making

Result: Companies act proactively instead of reactively.

Common Challenges in Practice

In most companies, we see recurring patterns:

  • Many reports, but no consistent decision-making logic
  • Inconsistent KPIs across business units
  • Planning disconnected from operational data
  • Strong dependence on Excel
  • Initial AI initiatives without a reliable data foundation

An analytics strategy systematically addresses exactly these gaps.

Our Approach

  • Clear objective definition and business impact
  • Prioritization of relevant use cases
  • Establishment of a consistent KPI and data logic
  • Implementation in a scalable architecture
  • Enablement of business teams

How BIG.Cube Supports You

We don’t develop isolated reports. We build an analytics strategy with you that improves decision-making.

Analytics Strategy & Roadmap

We analyze your existing reporting landscape, identify gaps, and develop a prioritized roadmap – from quick wins to the target architecture.

Development of Reporting and Dashboard Solutions

We design and implement standardized reports and interactive dashboards—technically robust, business-relevant, and low-maintenance.

Implementation of Integrated Planning Solutions

From the design of planning logic to a production-ready solution in SAC – including training for planning owners and integration with actual data.

Self-Service Enablement

We create the foundation for independent analysis within business teams: curated data layers, training, and a governance framework that ensures quality.

Preparing for AI-Driven Analytics

We establish the analytical and technical foundation for leveraging predictive models and AI applications. Learn more – go directly to Stage 3.

How Advanced Is Your Analytics Strategy?

In a structured initial consultation, we analyze:

  • Maturity level of your current analytics landscape
  • Consistency of your KPI logic
  • Potential for concrete business use cases
  • The fastest path to measurable value

Result: A clear, prioritized roadmap instead of further isolated initiatives.

Your Next Step Toward an Effective Analytics Strategy

In a structured initial consultation, discover where you stand and how to quickly achieve measurable value.

Schedule Your Initial Consultation Now