Data & AI Strategy and Governance

Let's develop your future-proof data strategy

Would you like to future-proof your data & AI strategy?

As your partner for data & AI, we will develop a future-proof strategy for your organisation, along with the appropriate governance models. This paves the way for the reliable, expandable, and conscientious handling of your data.

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Digital transformation with a future-proof data strategy

In the digital world, data is the foundation of successful organizations. Many organizations do not fully leverage the potential of their data across organization, processes, and analytics. A targeted data strategy unlocks this potential and enables the creation and continuous evolution of a high-performing data platform.

In addition to data architecture, a well-designed data strategy also includes clear guidelines, an effective governance model, and skilled employees. Together, these elements form the foundation for a successful, data-driven transformation.

In addition to data architecture, a well-designed data strategy also includes clear guidelines, an effective governance model, and skilled employees. Together, these elements form the foundation for a successful, data-driven transformation.

Our offer

Data Strategy

Data Governance

AI Governance

Our approach

Situation analysis & goal definition

We analyze existing systems, data sources, and requirements, and jointly define clear goals for your data and AI initiatives.

Governance, roles & responsibilities

We define roles, processes, and standards that ensure data quality, security, and responsibilities across the company.

Development of a data strategy & architecture

Based on goals, requirements, and framework conditions, we develop a future-proof data and AI strategy as well as the appropriate data architecture – scalable, secure, and tailored to your company.

Implementation & deployment of the data platform

As a Microsoft Data & AI Solutions Partner, we implement the defined data platform, develop dashboards, provide training and documentation, and support you in ongoing operations.

FAQ

What is defined in a data strategy?

A data strategy defines how a company systematically collects, processes, stores, and uses data. This includes:

  • Data collection: Systematic gathering of relevant data.
  • Storage: Secure and scalable data storage.
  • Processing: Efficient data preparation and transformation.
  • Management: Clear responsibilities and maintenance of data assets.
  • Protection: Implementation of robust security and data privacy measures.

This includes physical storage solutions, cloud resources, business applications, and analytics tools such as Microsoft Power BI.

Our guiding principle is: “As simple as possible, as complex as necessary.”

Companies need efficient dashboards and analytics solutions, but the required technical foundation varies greatly. We jointly assess requirements, maturity, and ambitions, and develop a suitable data architecture – from simple pipelines to data lakes, data warehouses, or data marts.

This provides you with a scalable, maintainable, and future-proof data landscape that delivers real value to your company.

Data is increasingly becoming a strategic resource – while regulatory requirements, ethical expectations, and security risks are rising. Governance ensures that data is used transparently, reliably, and responsibly from collection to AI-driven decisions.

Clear governance enables:

  • Trust through transparent and auditable data
  • Efficiency through clear roles, responsibilities, and processes
  • Security through compliance, data protection, and risk management

Success Stories

Want to learn more?
Contact us!

Address

Seilerstrasse 4
3011 Bern

Badenerstrasse 120
8004 Zürich

Your contact person

Dr. Massimo Mannino

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