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Five Ways to Translate Data into Better Decision-Making
Tempo de leitura: 5 minutesThe success of a digital transformation depends on driving change in the organization. The series Five Ways to Translate Data into Better Decision-Making has covered the five components that are crucial for approaching change value-driven, instead of technology or data-driven.
Get briefed with the full series coming together in a dynamic infographic.
Dato27 oct 2020
- Data & Technology: The necessity of becoming a data driven company is closely connected to technological developments. Danger however lurks in taking a solely technological approach and neglecting the human and organizational aspects of the business.
- Organization & Process: The success of a digital transformation depends entirely on changes within the organization and whether there is a solid plan in place. It takes a careful strategy to make clear what changes are needed – and what technological solutions help drive these changes.
- People & Culture: Organizations become aware of the fact that innovative projects in a center of excellence or data science department are not enough to turn the wheels. People will have to learn to recognize, understand and apply data to their daily work.
- Customers & Innovation: The key to finding a solution is to start with a clear view of the problem. By trying to look past the superficial observations and understand the problem at a deeper level, you can identify opportunities. The solution can then in turn be innovative.
- A Holistic Strategy for a Digital World: State-of-the-art technology and data alone do not guarantee successful digitization. Businesses must also pay attention to their customers’ needs, the education and training of employees and cultural change, all coming together in a holistic digital strategy that is crucial for a well-functioning data-driven organization.
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