Data & Analytics Services for Data-Driven Companies
As an experienced IT consulting firm specializing in SAP, modern data warehouse platforms, and process automation, we support you through your digital transformation. Our range of services extends from data-driven strategy development and modern data architectures to the intelligent use of your information through augmented analytics or data science.
We create robust structures for modern data warehouse solutions—cloud-based, flexible, and future-proof. Through data integration and modeling, we ensure a unified data foundation that meets both operational and strategic requirements. At the same time, we enable self-service BI without losing sight of governance and scalability.
Our technology-agnostic consulting combines proven standards with innovative approaches—for greater efficiency, better decisions, and measurable business impact.
Why Think of Data & Analytics as a Platform Strategy?
Many companies rely on ad-hoc tools or siloed solutions. But long-term success requires a well-thought-out Data & Analytics consulting approach that integrates strategy, architecture, and governance. Only in this way can platforms be created that are not only scalable, AI-ready, and secure, but can also grow flexibly as the business expands.
Together with you, we’ll develop a data strategy that breaks down existing silos and integrates modern architectures— , for example, a modern data warehouse or a logical data warehouse based on the Unified Star Schema as a powerful foundation.
What Makes for Good Data & Analytics Consulting
A modern data and analytics consulting approach doesn’t start with choosing a tool—it starts with your goals. Together, we analyze how your current systems work, where data is already adding value, and where there are gaps.
Often, it is not just the technology, but above all the structure, communication, and strategy that determine success. That is why we bring together business units, IT, and management into a holistic approach—whether we’re implementing a modern data warehouse, establishing a new governance structure, or putting specific use cases into practice.
This results in solutions that are not only technically sound but, above all, provide long-term value for your company—regardless of whether you’re already using a platform like Snowflake or Databricks or are just getting started.
An Overview of Our Areas of Expertise in Data and Analytics
Augmented Analytics
Automated insights with Qlik, Power BI, or Tableau—enhanced by AI and managed through clear governance structures.
Data Governance & Catalog
For transparent data flows and consistent definitions of terms—with Alation, One Data, or Collibra.
Data Mesh
Data domains with decentralized responsibility—yet orchestrated through a common platform strategy.
Data Science
Predictive Analytics, Machine Learning, and MLOps—with scalable models that truly add value.
Data Vault Modeling
Historical DWH models with Data Vault 2.0—stable for compliance and agile for self-service BI.
Data Vault Pipeline Description
Automated, documented, and version-controlled ELT processes for your Data Vault environment.
Data Warehouse Consulting
Consulting for modern data warehouse design—using Snowflake, Databricks, Exasol, or open-source technologies.
Logical Data Warehouse
Integrate data in real time—using virtual approaches, such as those based on Denodo.
Replace SAP BW on HANA
Replace BW with Snowflake or Databricks—without losing any reporting capabilities, but at a lower cost.
Managed Services
Secure and scalable operation of your data platform—including support, monitoring, and operations management.
Data Lakehouse
Open lakehouse architectures with Apache Iceberg, DBT, and other tools—without vendor lock-in.
Data Products
Develop data products that are reusable—with clear business value for business units.
Data & Analytics: More Than Just Technology
While many companies have data, only a few manage to generate real, sustainable value from it. This is because silos, a lack of governance, or an overly rigid architecture often stand in the way of data-driven transformation.
This is exactly where our services come in: We provide clarity—from well-thought-out architecture to the right data model and all the way through to concrete implementation. In doing so, we deliberately combine proven standards with open technologies to bring together innovation and flexibility.
Whether you’re looking to modernize your SAP data strategy, build a logical data warehouse, or develop AI-powered data products—we’ll help you turn your data and analytics vision into measurable results. And we’ll do so in a way that’s sustainable, scalable, and strategically embedded.
Our Technology Partners in the Field of Data & Analytics
Qlik & Talend Elite Partner
As an Elite Partner for Qlik Analytics Cloud and Qlik Talend Data Integration, we support you through implementation, migration, and optimization.
Frequently Asked Questions About Data & Analytics Consulting
What distinguishes data and analytics from traditional reporting?
Data & Analytics goes far beyond traditional reporting. It combines data strategy, governance, architecture, data science, and self-service BI—thereby laying the foundation for automated processes and well-informed decisions.
What tools does cimt use in the area of data and analytics?
As a technology-agnostic consulting firm, we work with platforms such as Snowflake, Databricks, Qlik, Power BI, Tableau, dbt, and Data Vault Builder. Our focus is always on scalable, integrable solutions for a modern data warehouse.
Is a data mesh or a centralized data warehouse the better choice?
Both approaches have their advantages—depending on the maturity of your data, your team structure, and your desired governance model. We’ll help you find the right model for you: whether centralized, decentralized, or hybrid. Our Data & Analytics consulting services are always tailored to your specific needs.
How long does a Data & Analytics implementation typically take?
The process often begins with an assessment or a proof of concept. Depending on the scope, implementation takes between 6 weeks and 6 months—including data modeling, integration, and governance structures.
🚀 Request Data & Analytics Consulting
Would you like to further develop your data strategy, build a modern data warehouse, or implement self-service BI in your company? Then our no-obligation initial consultation is the perfect place to start.
Together, we’ll discuss your goals, analyze your current situation, and outline possible solutions—technology-neutral, structured, and tailored to your organization.
- From Data Governance to Augmented Analytics
- Cloud Architectures, Self-Service BI, and Modern Data Warehouse Strategies
- Technology Selection: Snowflake, Databricks, Qlik, and many more.