Analytics is at the top of almost every company’s investment agenda today. However, as I discussed in my previous article, even with this special attention, the success rates of analytics projects are quite disturbing. While there are several reasons for failure of analytics projects, four common mistakes organizations make are: Lack of alignment with business…

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Data, analytics and artificial intelligence (AI) are fast becoming mission-critical elements across industries to ensure businesses continue to remain competitive. Most businesses have been investing heavily to pursue their analytics agenda. However, the success rates of these projects have been quite disturbing. While there are several reasons for failure, here are the top four mistakes…

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Technology has today become an indispensable part of daily life and is used for even the simplest of things like reading the morning news or navigating to work. Consumers are using technology at every step of their purchase journey to make more informed purchase decisions. Today, a typical consumer could be checking a product in-store…

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From the IT-led, semantic-layer-based approach of traditional Business Intelligence (BI) tools to today’s easy-to-use visual data discovery tools, BI and Analytics have come a long way in the past 10 years. These tools have significantly transformed the business scene and changed the way organizations function. However, business users have realized that even though these visualizations…

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