Data Strategy
The digitalization of society is generating an exponential growth in the production of data. But while the value of data is now unanimously recognized, it’s not possible to capitalize on it effectively without a clearly defined strategy.
Data has become a strategic asset with high added value for companies and organizations, and must be put to work to meet business challenges and objectives. A winning data strategy combines multiple axes: uses, ethics, data governance, organization, methodology, architecture,... The objective? To ensure that all the data collected is reliable and usable so that it can be used, shared and enhanced, for the benefit of customers and employees.
What is the best approach to implement Data governance? [REPLAY]
Data Governance: 14 best practices [REPLAY]
Data and AI: should you build your own company platform in the cloud?
Why you could do so much more with your digital data?
DataOps: data specification and documentation recommendations for Big Data projects
Data Governance: what it truly means to "manage data as an asset"
Data Scientist/Data Engineer: the skills required to give you a head start in Data Science
Which data governance approach to adopt: Top-Down or Bottom-Up?
Discover also:

Technologies

Data protection
