Need to strengthen your Data & Analytics team? We match the right expertise from data platform to BI, so data becomes decision support, not a bottleneck.
Data and analytics are often critical for management, efficiency, and AI. Yet many get stuck with fragmented sources, unclear definitions, and reports that no one really trusts.
When the right people are in the right roles, you get stable data ingestion, a sustainable model for data sharing, and BI that reflects the business. We help you build new, modernize step by step, or organize an environment that has grown without clear ownership.
Competencies we staff within
Sets the overall picture. Ensures that data platform, integration, modeling, security, and governance work together. Drives target vision, design decisions, and quality principles. The role is central when you want to build a platform that can grow over time.
Takes responsibility for delivery in an area or an entire track. Prioritizes together with business and IT, keeps the team's work aligned, and ensures you deliver value in the right order. Valuable when you want to avoid everything becoming "platform first" without visible impact.
Builds and operationalizes data pipelines, transformations, and data models. Ensures data arrives on time, with the right quality and at the right cost. Often the key to moving from manual Excel flows to robust processes.
Translates business questions into metrics, analyses, and reports. Works with definitions, KPI structure, interpretation, and improvement suggestions. The role makes BI about management and decisions, not just visualization.
Business Area Manager - Business Intelligence
Briefly describe whether you want to build new, modernize, or organize BI, Data, and Analytics, and we'll get back to you with a concrete proposal for staffing and next steps.
You want to gain control of data and reporting
You need a common foundation, clear definitions, and BI that supports management.
You need to modernize your data platform
You need to move from ad hoc solutions to a platform that can be scaled and managed.
You need to combine SAP data with other data sources
You need a solution that works in practice, with traceability, quality, and governance.
You want to be AI-ready without starting with a major overhaul
You need to organize data flows, master data, models, and secure access.
Data Engineer builds flows, models, and the infrastructure that makes data reliable and accessible. Data Analyst uses data to create insights, KPIs, and reports that support decisions.
When you need to build or modernize a data platform, integrate many sources, or ensure governance and security. The role reduces the risk of getting a solution that works in parts but not as a whole.
Solution Lead prioritizes delivery, keeps the team’s work aligned, and ensures you get value early. The role is important when many stakeholders are involved and the backlog grows quickly.
It depends on current state, expertise, data types, and how you want to work with BI, ML, and data sharing. Many also combine, for example Fabric for BI and Databricks for advanced engineering and AI. The most important thing is to choose an architecture that can be managed.
Yes. We set up a model for how SAP data and other sources can work together, with traceability and clear definitions. SAP BDC can be part of this when SAP data needs to become more accessible and useful in analytics.
A brief current state analysis followed by a prioritized plan. A common next step is to secure KPI definitions, build a stable data model, and deliver 1 to 2 report packages used in management.
