"To get the big picture, start with the InfoWorld primer " How to excel with data analytics" by contributor Bob Violino. In this crisply written piece, Violino covers all the bases: establishing analytics centers of excellence; the benefits of self-service solutions (such as Tableau or Power BI); the exciting possibilities for machine learning; and the swing toward cloud analytics solutions."
"Unfortunately, analytics initiatives seldom do nearly as well when it comes to stakeholder satisfaction. Last year, CIO contributor Mary K. Pratt offered an excellent analysis of why data analytics initiatives still fail, including poor-quality or siloed data, vague rather than targeted business objectives, and clunky one-size-fits-all feature sets. But a number of fresh approaches and technologies are making these pratfalls less likely."
Data/business analytics remains the leading IT investment priority but often underdelivers and disappoints stakeholders. Frequent causes of failure include poor-quality or siloed data, vague rather than targeted business objectives, and clunky one-size-fits-all feature sets. Emerging practices and technologies — analytics centers of excellence, self-service BI tools such as Tableau or Power BI, machine learning, and cloud analytics — improve chances of success. Cloud analytics offers scalability and abundant tools but introduces data migration and security challenges. Treating analytics initiatives like development projects, with well-defined goals and iterative cycles, increases the likelihood of useful outcomes.
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