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Cyber security training should focus on proper planning, address the learners and their needs, and be engaging. Follow these steps to improve training development and delivery.
To be data-driven, organizations and people must be data literate. Several characteristics contribute to data literacy The world of data and analytics is inundated with
Every successful organization views data as an indispensable component of operations and decisions. Data can be seen as an essential employee – more than as
Data warehousing and business intelligence users need trustworthy data. How to ensure that? Perform three types of testing to confirm data integrity. In the Gartner
Every organization should develop and implement a plan to assess current data quality and take clear steps to improve and maintain it High-quality data quality
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
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