Motivation

A data strategy assessment helps companies utilize their data effectively, supporting informed decision-making and providing a competitive advantage. It promotes strong data governance and compliance, reducing risks associated with data breaches and legal/regulatory penalties. By optimizing data management processes, companies can improve operational efficiency, lower costs, and boost productivity. Additionally, a well-defined data strategy encourages innovation by facilitating the development of new data-driven products and services. It also prepares future AI projects by ensuring the availability of high-quality, well-organized data necessary for scalable AI applications.

What we bring

20 years of experience with data architecture for many of the world’s largest enterprises has generated the expertise needed for PRODYNA to help you design and develop a strategy for extracting the most possible value from your data. With this offering we will assist you with:

• Alignment of the data strategy with organizational objectives.
• Data governance
• Data architecture and management
• Data analysis and interpretation
• Data platform and infrastructure implementation
• Communication and collaboration
• Project management
  

What we bring

20 years of experience with data architecture for many of the world’s largest enterprises has generated the expertise needed for PRODYNA to help you design and develop a strategy for extracting the most possible value from your data. With this offering we will assist you with:

• Alignment of the data strategy with organizational objectives.
• Data governance
• Data architecture and management
• Data analysis and interpretation
• Data platform and infrastructure implementation
• Communication and collaboration
• Project management
  

What you need

A data strategy assessment requires management attention and support. To support an efficient and successful data strategy assessment, you will need to provide the following:

• Business Objectives: Align data strategy with business goals.
• Stakeholder Information: Provide key stakeholder contact details.
• Security and Compliance: Outline security protocols and compliance regulations.
• Documentation: Share existing data architecture and governance docs.
• Access to Data: Ensure access to relevant data sources.
• IT Infrastructure Details: Provide information on current IT setup.
  

What you get

A data strategy assessment requires management attention and support. To support an efficient and successful data strategy assessment, you will need to provide the following:

Our data strategy assessment has three main phases. First, we identify and prioritize business drivers, set goals for data-driven decisions, and review the current data strategy and architecture. Next, we assess the data estate, including sources, quality, reporting, analytics, and governance. Finally, we provide recommendations and next steps, covering data and technology needs, an implementation plan, and impact analysis on business, technical, and organizational aspects. We will tailor the assessment to your organization’s specific needs to minimize time and cost. PRODYNA will guide you and your employees through the following phases: