
5 Soft Skills the Data Professional Needs for Success
Developing people skills is the new frontier of success for the data professional; enabling the promise of data having an impact and transforming the enterprise
Developing people skills is the new frontier of success for the data professional; enabling the promise of data having an impact and transforming the enterprise
Most professionals have a reactive, not a proactive, approach to their careers. This, and other common misconceptions can derail any professional’s career management efforts. Readjust now to avoid sabotaging career potential.
Organizations can and should assess the business value of its data and information to generate economic benefits.
The power of data and analytics comes from four essential components – generating value and impact for any organization
The many and varied skills needed for successful process management efforts are not “easy.” Including soft skills can reduce the difficulty and sustain effective process improvement
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
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