Identify and Develop Data Value Potentials
Identification and targeted development of data value potentials is a core skill of successful data performing enterprises. With the data value potential scan, we support companies in identifying high-potential business and action areas that would often remain undiscovered. Companies can then prioritize them and develop them in a targeted way according to their potential for contributing value to corporate success.
Holistic Analysis Along the Supply Chain
As a company matures on its path to become a data performing enterprise, the expectations stakeholders and sponsors have for results, like profitable data products and their capabilities, also grow. The expectations that decision-makers and business area managers have for data’s impact on corporate success grow exponentially. In contrast, the corporate organization itself – employees, processes, and technologies – naturally grow in a linear fashion. The resulting gap between expectation and what is actually achievable under the concrete conditions within the organization can be a challenge for companies. Many potential opportunities go unused.
INFOMOTION's experts support companies in selecting the data products and projects that promise the greatest added value from a continuously growing pool of opportunities. To use limited resources as efficiently as possible, data value potentials within the company are systematically identified and prioritized for implementation in consideration of relevant criteria – supply chain, digital roadmap, corporate strategy, market, feasibility, and other influencing factors. In workshops and business area analyses, our experts support companies in identifying relevant action areas to increase usability and quality, reduce costs and minimize risks and generate long-term added value from data.
Data Value Potentials Scan – Methods and Tools
Holistic analysis with a top-down perspective
Identifying data value potentials in close collaboration with management
Data value potentials heat map
Identifying and prioritizing action areas in the organization for optimization and innovation.
Feasibility analysis
Weighing expenses against benefits to prioritize measures for creating data value.
Data products collection
Bottom-up analysis and prioritizing potential products, identifying known data use cases.
Trend analysis
We contribute knowledge on relevant data technology trends, and support you in evaluating these trends.
Workshops
Based on proven methods like design thinking and others in our Innovation Labs in Stuttgart and Frankfurt.
We support you in selecting the data products and projects that promise the greatest added value