Retail & Consumer Goods

Data solutions for retail & consumer goods

We help retail and consumer goods companies to increase their data potential. From uniform customer data to transparent supply chains to fact-based price and product range management.

Retail & Consumer Goods

Data that connects customer experiences and creates value

Retail and consumer goods companies today face a multitude of complex challenges. IT landscapes that have evolved over time have created data silos that prevent a consistent view of customers, products, and suppliers. Omnichannel strategies stall because pricing and inventory data are not harmonized across all channels. At the same time, customers demand seamless experiences—from the online store to the physical store.

Added to this is the fragile state of global supply chains: a lack of transparency leads to excess inventory, empty shelves, or inefficient planning. Margin pressure and volatile raw material prices further exacerbate the situation. At the same time, regulatory pressure is mounting: Sustainability reporting, supply chain legislation, and the GDPR require a clean, auditable data foundation. Without a unified data strategy, you risk inefficiency, slow decision-making, and lost customer trust.

This is exactly where we come in. We help you centralize your data landscape, automate reporting, and build data literacy within your team—pragmatically, with focus, and with genuine industry expertise.

We unleash the potential of your data

Our established solutions for retail & consumer goods

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Questions our customers ask
  • How do we ensure transparency along the supply chain?
  • How do we develop a data strategy that supports omnichannel services (click & collect, loyalty, apps)?
  • How do we reliably collect sustainability and supply chain data (CO₂, origin, certificates) and integrate it into ESG reports?
How we support your retail or consumer goods company
  • Development of a data strategy with a focus on omnichannel & customer centricity
  • Conducting data thinking workshops and maturity assessments
  • Development of clear governance models for customer data, product master data and supplier information
  • Integrating ESG & compliance reporting into corporate strategy
success stories

For RheinEnergie, we have developed a central data strategy that is interlinked with corporate and divisional strategies. The strategy promotes a decentralized data culture and strengthens self-service and governance — as a basis for scalable, future-proof data use.

Questions our customers ask

Typical questions

  • Which data-driven use cases contribute to our goals?
  • How do we incorporate data governance into unbundling requirements?
  • What roles and responsibilities do we need?
  • How do we integrate POS, shop, PIM and CRM data with supplier and logistics systems in a central platform?
  • How do we ensure that inventory and pricing data is consistent across channels in real time?
  • How do we design our data platform so modular and scalable that it meets future compliance, reporting and personalization requirements?
This is how we support your retail or consumer goods company
  • Development of scalable, cloud-based data platforms including MDM & authorization concept
  • Development of data pipelines for inventory, pricing, promotions, and supply chain information
  • Monitoring & logging for quality assurance, including data catalog & lineage
success stories

For EVM (Energieversorgung Mittelrein), we have brought together, harmonized and enriched data from historically developed systems with external data. The modular data modeling approach enables future expansions, and the modern lakehouse structure provides a stable basis for AI initiatives.

Questions our customers ask

Typical questions

  • Which data-driven use cases contribute to our goals?
  • How do we incorporate data governance into unbundling requirements?
  • What roles and responsibilities do we need?
  • How do we avoid out-of-stocks early on and reduce excess stocks?
  • How do we measure promotional and price effects based on facts?
  • How can we use customer data in a GDPR-compliant way to expand personalization and loyalty programs?
  • How do we support our departments with self-service analytics and role-based access?
This is how we support your for retail or consumer goods companies
  • Development of dashboards for real-time inventory, sales, margins, and supply chain visibility
  • Development of customer analytics solutions (e.g. segmentation, loyalty evaluation, churn analyses)
  • Development of self-service BI that empowers teams and reduces external consulting costs, including training concept
  • Automated analyses of promotion and price effects for Category Manager & Purchasing
success stories

For RheinEnergie, we have laid the central basis for data-driven analyses. Data thinking workshops and structured use case development resulted in a clear roadmap for BI applications and self-service analytics. For evm, we created a 360° customer view by building a customer data platform.

success stories

How we have already successfully supported other retail & consumer goods companies

Cloud Data Platform

Provider of convenience and logistics solutions

For a leading European provider of convenience and logistics solutions, we implemented an automated data connection and
preparation with Tableau Prep Builder and Conductor. In addition, we implemented a single sign-on and authorization concept as well as customized Tableau dashboards for customer data analyses. In parallel, we supported the data engineering team with practical training on modern technologies such as Snowflake, dbt and SQL. This laid the basis for a powerful customer analytics platform.

BI & Data Analytics

Leading retail chain

For an international retail company, we developed individual Power BI solutions to support controlling, marketing and market research — including international reporting, automated digital marketing reports and a management dashboard with over 28 topics. The tools provide reliable KPIs, data-based insights and intuitive operation for better decisions.

Cloud Data Platform

International discounter

We implemented a scalable data platform based on Azure Synapse Analytics for an international discount retailer. This platform serves as a central solution for data integration, management, and analysis and supports both batch and real-time processing. The platform was supplemented by Azure Data Factory for automated pipelines and Azure OpenAI for innovative use cases such as personalized product recommendations, automated customer service, and intelligent queue management. The modular architecture ensures flexibility, efficiency, and future-proofing.

BI & Data Analytics

FMCG providers

For a leading provider in the FMCG sector, we developed a modern reporting concept with integration of market research and household panel data, for example from Nielsen and Drotax, to provide well-founded market intelligence. The focus was on intuitive usability, high performance and expandability for various markets. In addition, we carried out targeted training courses to enable the departments to use the dashboards efficiently and to interpret the data independently. As a result, data-based decisions in marketing and sales could be sustainably strengthened.

How we have already successfully supported other retail & consumer goods companies

International trading company
For an internationally active retail group, we developed tailor-made Power BI solutions that support internal controlling processes as well as marketing and market research activities. These include international controlling, automated reporting processes in digital marketing and a comprehensive management dashboard with over 28 subject areas. The solutions offer reliable KPIs, data-driven insights and intuitive user guidance for faster and more informed decisions.
International food retailer
For an internationally active food retailer, we implemented a scalable data platform based on Azure Synapse Analytics. This serves as a central solution for data integration, management and analysis and enables both batch and real-time processing. The platform was supplemented by Azure Data Factory for automated pipelines and Azure OpenAI for innovative use cases such as personalized product recommendations, automated customer services, and intelligent queue management. The modular architecture ensures flexibility, efficiency and future security.
Provider of convenience and logistics solutions
For a leading European provider of convenience and logistics solutions, we implemented automated data connection and processing using Tableau Prep Builder and Conductor. In addition, we implemented a single sign-on and authorization concept as well as customized Tableau dashboards for customer data analyses. In parallel, we supported the data engineering team with practical training on modern technologies such as Snowflake, dbt and SQL. This laid the basis for a powerful customer analytics platform.
Suppliers in the coffee & FMCG sector
For a leading provider in the coffee and FMCG sector, we developed a modern reporting concept with integration of market research and household panel data, for example from Nielsen and Drotax, to provide well-founded market intelligence. The focus was on intuitive usability, high performance and expandability for various markets. In addition, we carried out targeted training courses to enable the departments to use the dashboards efficiently and to interpret the data independently. As a result, data-based decisions in marketing and sales could be sustainably strengthened.

How we have already successfully supported other retail and consumer goods companies

From decentralized data initiatives to building a central data strategy

We have developed a company-wide data strategy with RheinEnergie. In intensive workshops with over 25 stakeholders, the level of maturity, challenges and strategic goals were analysed. The result is a clearly structured roadmap that bundles data initiatives, defines responsibilities and enables data-driven value creation in all areas.

360° customer view by building a customer data platform

Together with evm, we have implemented a modern data warehouse in Azure that provides a consolidated 360° customer view. The basis for this was a customer-focused data model, automated data cleansing via record linkage and the connection of all relevant source systems. The new setup creates a stable basis for future data science initiatives and data-driven decisions.

How we have already successfully supported other financial service providers & insurance companies

By cleverly linking data, we have not only optimized our internal processes, but also broken up data silos and thus secured a decisive competitive advantage.
Vanessa Kremer
Chapter Lead Data & Anaytics/Aachen Real Estate

Modern data architecture

Together with Aachener Grundvermögen, we have set up a modern, data-based infrastructure that supports the efficient handling of large amounts of real estate data. The use of the data vault approach ensures high data quality. At the same time, a flexible architecture is being created that enables both the connection of various source systems and future expansions without any problems.

More efficiency, less effort — made measurable

>1 million

linked data points

90%

fewer manual reports

1

Single Source of Truth

Energy & telecommunications

Our solutions for network providers

Transparency about network investments & maintenance measures

We provide an overview of investment planning and maintenance — from medium voltage to local network level. With comprehensible data and visualizations for technology, controlling and regulatory reporting.

Securing grid stability through intelligent processes

We support you in implementing legal requirements such as Redispatch 2.0 — with sophisticated data processes that reliably combine generation, network operation and planning.

Integration of geodata & spatial reference into BI landscapes

We integrate geodata into existing BI systems — e.g. for network expansion planning, capacity assessment or location decisions. This makes spatial reference an integral part of data-based decisions.

Reliable automation of market communication

We make market processes such as supplier changes, MaKo2024 or format changes robust and maintainable — through clean data structures, automated test tracks and clearly defined workflows.

Data-based control of network connections

We help structure and accelerate grid connection processes for PV systems, charging infrastructure or heat pumps based on data — with automated preliminary checks, bottleneck checks and transparent monitoring.

Cross-project reporting governance

We help build a consistent reporting landscape across projects and specialist areas — with coordinated key figures, clear processes and sustainable data management.

What business intelligence can do — when it's properly thought out.

Self-service

Access data without having to wait for anyone. With predefined logics and understandable dashboards.

relevancy

Reports are used — not just built. Because they're relevant, understandable and well-placed.

uniformity

When everyone works with the same definitions, reports become comparable — and decisions become clearer.

transparency

Where does the number come from? Why is she like that? Well-implemented BI makes processes comprehensible — both technically and in terms of content.
Finance & insurance

Our solutions for financial service providers and insurance companies

Systematic improvement of data quality

We identify weak points in your data processes — such as master data, booking chains, or KPIs — and establish routines for quality, consistency and documentation. This keeps your reporting reliable.

Development of a central data platform

We help you build central data platforms that reliably combine transaction data, customer data and regulatory information — as a basis for clear reports, uniform KPIs and efficient processes.

Modern connection of legacy systems

We create interfaces, migrate ETL processes or build new platforms — without jeopardizing your day-to-day business. /

Existing core systems do not need to be replaced. We connect them to modern data platforms — via clean interfaces, stable data pipelines and without risk to ongoing operations.

Automation of manually checked processes

Whether it's reporting, monthly statements or contract management — we help replace manual review and approval steps with structured, data-based processes.

Integration and use of sustainability data

We help to consolidate and qualify ESG-relevant data sources and make them available for standardized reports./We integrate distributed ESG data sources, build uniform data models and enable standardized ESG reporting. This creates a reliable database for EU taxonomy, CSRD & Co. — comprehensible, verifiable and accessible at any time.

Cross-project reporting governance

Without clear rules, responsibilities and processes, data work becomes inefficient and risky. We help establish data governance that is truly lived out. /

We help to set up responsibilities, standards and processes in such a way that data is not only usable — but also reliable.

Fraud detection and prevention

Using real-time data analytics, we help you identify fraudulent activity early on and reduce losses due to unjustified claims.

Retail & Consumer Goods
Make data effective—step by step

From strategy to self-service: This is how we support retail & consumer goods on their data journey.

Define status quo & use cases

We develop a target image, prioritize use cases and develop a roadmap, tailored to your strategic goals.

Modernize infrastructure

We create the basis with a scalable, secure and maintainable data platform.

Automate processes

Data pipelines, reporting routes and quality assurance are automated — for stability, efficiency and compliance.

Empower teams

We make your departments fit for data — with targeted enablement in Power BI, Tableau & Co., so that you can work independently in the long term.

Scaling

Together, we look at the impact, close gaps and create structures for sustainable success.

Questions that will help you

FAQ

How can a uniform data model improve the retail supply chain?

A uniform data model consistently presents product, inventory and supplier data across all channels, which increases transparency, predictability and efficiency in supply chain management. Omnichannel transparency means that data from online shops, branches, POS and customer systems is brought together across channels so that customer and inventory information is available in real time and supports cross-channel decisions.

What requirements does a retail company need for successful data-driven use cases?

For data-driven use cases to be successful, not only a technical database is needed, but also clear processes, coordinated KPIs and responsibilities within the company. This is the only way to translate analyses into sustainable decisions.

How does a modern data platform support reporting and BI in retail?

A modern data platform bundles different data sources, harmonizes them and makes them available for reporting and analysis tools. This creates consistent dashboards for inventory levels, sales, margins, or customer behavior.

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