Is your data scattered across ERP, CRM, Excel, or cloud systems? This fragmentation costs you time, money, and trust. With a consolidated data foundation, you create clarity: unified KPIs, less coordination effort, and well-founded decisions at every level.
We bring structure to your data landscape and create a consolidated, trustworthy foundation for reporting, analytics, and AI. Our strength lies in the combination of technological expertise, industry knowledge, and change management experience.
We consolidate data from leading systems such as SAP, Microsoft Dynamics, Salesforce, Snowflake, Qlik, or Excel into a central data platform – for example, based on Google Cloud or Microsoft Azure. We create a unified data model, harmonize KPIs, and automate data flows. The result is a reliable foundation for reporting, ESG, AI, and operational management.
From data inventory and harmonization to governance integration we provide you with templates, KPI standards, and a consolidated data model. Our structured methodology ensures that results are reproducible, transparent, and scalable – independent of tools or system landscapes.
We support the transformation through targeted change management because new systems alone don’t change the way people work. We conduct interviews and workshops with all relevant stakeholders, train departments in working with data, and foster acceptance for new roles and tools. Our goal: to build data literacy, break down silos, and embed data-driven thinking throughout the organization.
We consolidate data from leading systems such as SAP, Microsoft Dynamics, Salesforce, Snowflake, Qlik, or Excel into a central data platform – for example, based on Google Cloud or Microsoft Azure. We create a unified data model, harmonize KPIs, and automate data flows. The result is a reliable foundation for reporting, ESG, AI, and operational management.
From data inventory and harmonization to governance integration we provide you with templates, KPI standards, and a consolidated data model. Our structured methodology ensures that results are reproducible, transparent, and scalable – independent of tools or system landscapes.
We support the transformation through targeted change management because new systems alone don’t change the way people work. We conduct interviews and workshops with all relevant stakeholders, train departments in working with data, and foster acceptance for new roles and tools. Our goal: to build data literacy, break down silos, and embed data-driven thinking throughout the organization.
Before you consolidate data, you need to know where you stand. Our Architecture Assessment shows you how efficient, scalable, and future-proof your current data architecture is. We analyze systems, data flows, and governance structures to identify bottlenecks, risks, and optimization opportunities. The result: a clear roadmap for modernizing your data architecture and making it ready for consolidation, governance, and AI.
Our methodology is built on a clear blueprint – from data inventory and harmonization to governance integration. We provide mapping templates, KPI standards, and a consolidated data model that is both scalable and audit-ready.
We are tool-agnostic and integrate data from SAP, Microsoft, Salesforce, Snowflake, Qlik, and many other systems – whether on-premises or in the cloud. Our focus is not on interfaces, but on data flows, responsibilities, and target architectures.
Our approach is based on a clear blueprint – from data inventory and harmonization to governance integration. We provide mapping templates, KPI standards, and an auditable, consolidated data model that is both scalable and future-proof.
Data consolidation is more than just a technical project. Through workshops, training, and change communication, we ensure that new structures are understood, accepted, and embraced – enabling sustainable transformation and a true data-driven culture.
We are technology-open and integrate data from SAP, Microsoft, Salesforce, Snowflake, Qlik, Excel, cloud platforms, and many other sources – both on-premises and cloud-based.
Without consolidated data, processes become inefficient, reports contradictory, and decisions slow. A consolidated data foundation enables transparency, automation, and strategic control – and serves as the foundation for AI, ESG, and compliance.
With the right architecture, SAP data can be seamlessly integrated into a consolidated data platform – and connected with other systems to form a reliable foundation for decision-making.
Data consolidation refers to the merging and unification of data from different sources, systems, and formats – with the goal of creating a central, consistent, and trustworthy data foundation.
