Companies need to create a help desk for data, similar to the help desk they created for hardware, software, application, network, and user problems.
Can you imagine if companies didn’t have a computer help desk and each department had figure out their own computer issues? If each department had to find, load, configure, and troubleshoot their own hardware and software?
But isn’t that how most companies operate when it comes to data and data projects?
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Filed under Audit, Data Analytics, How to...
Tagged as analytic, analyze, backlog, champion, citizen, cost, data, data scientist, drill, driven, expense, help desk, hole, ODBC, query, REST, Security, transform, validate, value
In my last post, I described Why Internal Auditors Should Care about Robotic Process Automation.
In this post, I’ll explore whether RPA can replace analytic packages like ACL, IDEA, R, and Power BI.
That might seem like a strange question, but a few managers and a VP have asked me just that recently. Here’s how I’ve answered it.
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Filed under ACL, Audit, Data Analytics, Employment, Scripting (ACL), Technology
Tagged as acl, adaptability, art, automation, creativity, data, DOA, excel, failure, IDEA, interface, judgment, learn, log in, Mr Roboto, ODBC, Power BI, profile, Python, R, robitics, robot, robotics, ROI, RPA, rule-based, science, software, Spock, SQL, user