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Busting the “Excel is dead” Myth!

Analysts Corner

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. This is on top of the data analysis that I have done using SQL or profiling tools such as Alteryx.

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Delivering the Right Data to the Right User in the Right Format is the Key to Success for Data Architects, Engineers, and DBAs

Actian

The most effective data solutions are formed by generalizing your user community into a few key groups by skillset and role objectives, data consumption habits and applied tools associated with those data needs, and then deploying the right set of solutions for each group.

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Why you need a project analyst

Monday

Data analysis. Poor data quality costs businesses millions of dollars every year. Since projects are central to organizational success, the project analyst should be adept at data analysis. Reviewing the project budget and finances. They should understand the complete project life cycle. Create documentation.

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16 Best Business Intelligence Books To Get You Off the Ground With BI

Data Pine

Now that we’ve established the undeniable importance of BI in the digital age, let’s explore the books that will assist you in gaining the knowledge in addition to the skillset you need for success. 1) “Data Strategy: How To Profit From A World Of Big Data, Analytics And The Internet Of Things” by Bernard Marr.