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Data analytics & governance

The Challenge

Many companies face major challenges in efficiently managing their data, ensuring its accuracy and trustworthiness. This is the foundation for efficiently extracting insights from data and applying them as a basis for decision-making across all areas of the company. When data governance and analytics projects fail to deliver tangible business value, the initiatives are often cancelled or fall by the wayside. Thus, companies leave potentials untapped to turn data into a competitive advantage and become more cost efficient or generate new business.

Our Approach

We know data should be treated as a core asset – in every company. We therefore designed our data governance model and data maturity model to address the core pillars of a successful data strategy, having people and processes always as its central building brick. This foundation enables valuable data analytics capabilities, in which we advise our clients to start small along first value generating use cases, such as improving a specific element of the customer‘s journey or by increasing the efficiency of a specific process. We iterate through a proven process to create actionable insights fostering a data-driven mindset while contributing to the companies overall strategic targets.

Our Service Portfolio (Excerpt)

  • Data- and governance strategy​
  • Data management, organization and processes​
  • Data architecture and structure​
  • Data policies and compliance​
  • Data-driven organization/culture​
  • Data-driven decision making​
  • Building and implementing data business cases​
  • Optimization solutions with Artificial Intelligence​
  • Data platform analysis and evaluation
Alex Rinner

“Successfully managing data is about enabling an important, but often overlooked, asset to create business value. Scaling analytics and artificial intelligence to become a data-driven organization is crucial to stay relevant in this fast-changing environment”

Alex Rinner