NOVEMBER 2019CIOAPPLICATIONSEUROPE.COM9X be Infrastructure, computing platform, etc.) which optimize the cost of ownership and allows for virtually unlimited capacity.Massive quantity and variety of data can lead to an unlimited number of hypotheses to test and can even allow you to process data without having any hypothesis in place to discover new intelligence on the fly. Here we start to see the increasing role of high-performance computers, rather than only human capabilities. RPA (robotization and process automation) is to replace humans for most of the rule-based, well-defined activities and perform them at an extreme speed and quality. When the rules are not well-defined and/or unclear, AI (Artificial Intelligence) and ML (Machine Learning) solutions are there to help.The human side of BIAlthough BI touches every technological improvement and is impacted by them, it is a journey with many non-technical aspects. BI can support the highly critical decisions used by leadership. However, what if some assumptions are not correct, the BI organization loses credibility, which is the most important driver for sustainability and the future growth of the BI organization. Maximum effort should be spent in building and sustaining credibility; this effort may include, but not be limited to, test and assurance activities, finely balancing between quick wins and large-scale programs, and agile versus traditional project management.BI has the potential to say a lot, but leadership may not be ready to absorb all this information at once. A good BI has the potential to say a lot, but leadership may not be ready to absorb all this information at oncecommunication strategy should be established, ideally, there should be an understandable story behind each figure. In the end, people will be more prepared to accept information that has been communicated effectively. Finally, it is important to prevent overloading with content or messages. When you are rich with data and tools, it is a common tendency to calculate extensive numbers of metrics and try to present all of them. This approach has some disadvantages which jeopardize (instead of support), such as clutter, confusion, and information overload. Keeping a digestible number of metrics, graphs, colors, lines, and words should be the goal. Some final wordsTo some extent, everyone who has access to a spreadsheet application can be a BI expert ­ we need to consider this fact to our benefit and use it as leverage to define and re-define what is a BI Technologist. BI, requiring both technical and non-technical skills, will be a growing interest area to attract distinguished talent, even though the required human activities and practices will change significantly over time. Maybe this everchanging dynamic nature of the human component will be the lure of the business intelligence profession.
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