Data Strategy
Your challenge
Data strategy impacts the way the company operates at every level. It is a change of culture, processes, and decision-making based on data to increase efficiency and competitiveness.
Understanding your data utilization needs is crucial in addressing challenges such as data security, quality, flexibility, ownership, process standards, regulatory risks, and data silos for effective solutions.
Data strategy will help if you want to:
utilize data to build and strengthen market position
make more accurate business decisions
have 360° customer view and offer personalization
provide autonomy and teamwork collaboration
be compliant with regulatory requirements
have a coherent approach to data sensitivity and utilization
secure data availability and quality for advanced algorithms
organize data and processes
Our solution
Effective data strategy application requires a plan. We start the data strategy implementation with an in-depth analysis of the company’s current state. We organize workshops and user surveys, analyze systems and record available data. In just 2 months, we use the acquired knowledge to build a data strategy roadmap, a plan that forms the basis for further work.
Our transformation process begins with organizing data sets, assigning owners and defining governance processes. This ensures that your organization stops operating in silos and starts using clearly defined data catalogues, access policies and information-sharing processes.
Creating a strategy is only the beginning since the key is to implement it, monitor it and continuously adapt it to your organisation’s changing needs. With extensive experience working with various technologies, we also help select the right tools tailored to your scale and needs.
Our support covers every stage of this process, involving internal teams while we play an advisory and supportive role. We believe that the initiative’s leader should be the person on your side, and our support focuses on advice and adjustments at key moments.
Supporting client's goals
Data-driven decision making
Implemented and widely used policies and procedures
Documented definitions, dictionaries, and data flows
Agile product and service implementation
Sharing access to data
Protection against data violation