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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. More importantly, professionals should seek to specialize in various industries to boost their value and skillset. The Rise of Regulation.

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Busting the “Excel is dead” Myth!

Analysts Corner

I have used Excel in all my business and data consulting roles for data analysis and profiling, creating mock dashboards, pivot tables, charts, and graphs, though none of these roles specifically asked for Excel as a skillset. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx.

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How to Clear Your Power BI Interview

The BAWorld

Develops integration of Power BI with cloud and on-premise data systems. Senior-Level Positions (8+ years experience) Power BI Architect: Develops end-to-end Power BI solutions with scalability and governance. Coordinates data governance policies, security models, and enterprise-wide Power BI adoption.

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Upcoming Cloud Computing Trends for 2021

Whizlabs

More Attention on Data Governance and Compliance . Data governance and compliance will experience massive turbulence in 2021 with the expansion of cloud infrastructure and the global pandemic. Enterprises will focus on starting projects for providing secure migration of data to the cloud.

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Is Self-Service BI a Hollow Promise or Crucial Capability?

Insight Software

Usually, they have a limited BI skillset that corresponds with their straightforward requirements. Whatever their needs are, provide your end-users with tailored self-service capabilities for a more productive, engaging, and satisfying data experience. The key is finding the right balance.

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Navigating Enterprise Architecture in the SAP Ecosystem: Skills Needed!

Timo Elliott

To help make the right choices, organizations need Enterprise Architects with the right vision and skillsets. But the problem is less a lack of tools and more a lack of clarity about the enterprise architects skillset and role. Expand AI and Data Knowledge Understand how AI and data governance impact enterprise architecture.

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The Hidden Factors Holding Agile Back In Your Organization

Leading Agile

Not that that’s an infinitely scalable thing, but maybe there’s a key skillset or something you don’t need. What if I want to do AI driven optimization across disparate data sets? It’s reasonable to ask questions like, well, is there anything I could do to help that throughput improve?

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