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Data minimization is collecting and processing the smallest possible amount of data needed to complete an operation. Collecting less data can help an organization in
All data management professionals should understand the two types of data storytelling – one is just as important as the other There are two types
Informal data quality improvements are often at odds with what the organization actually needs. Focus on organizational data quality and not on individual efforts. Often
Data forensics is a broad term since data forensics encompasses identifying, preserving, recovering, analyzing, and presenting various results to support a variety of purposes Forensic
Every business process improvement effort must demonstrate proven, valued, business benefits (PVBB)
Building a Data Marketplace is not an easy task, requiring innovative, disruptive, and differential technical and cultural solutions. Follow some useful tips on organizational, cultural,
Enterprise data management often suffers from a lack of funding and organizational support. There is a solution. As organizations examine the need for enterprise data
Every professional should create and maintain a personal brand to distinguish themselves and support their careers In recent years, there has been a lot of
Data is an asset that has a distinguishing characteristic: the more it is shared, the more its value and potential impact increase. It is important
Not all responsibilities for data and its management fall under the role of Chief Data Officer (CDO). Different data types require different accountability, and different
Data privacy, data protection, and data security are not synonymous. They are complementary and all aspects should be embraced by organizations to guard their personal
Every organization should review this list of enterprise data / information management challenges and the possible solutions to sustain any EIM program Enterprise Information Management
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