Three Big Mistakes in big data you never knew were mistakes

Blog #3
Website : https://channels.theinnovationenterprise.com/articles/top-3-big-data-mistakes-that-you-did-not-think-were-mistakes
Writer : Gaurav Belani
Name : Willy Erico 謝洪標
Student Id : D0726476

Three Big Mistakes in Big Data You never knew were mistakes

Too much data
Today, data is pouring in from everywhere like in the apps and websites, desktops and mobiles, even watches. Smart devices, connected cars. To collect everything you can and then begin to mine it for something meaningful is a recipe for disaster. However, according to the Big Data Executive Survey, 85% of organizations aim to be data-driven, but only 37% report success in this area. If nothing else, it is a huge waste of investment. Also a report conducted by Workfront.com indicated that 13% of survey responders had so much data that their work becomes more, not less, confusing. So, too much data is not really works, we just need to identify the key objectives and corresponding datasets. 

Poor data quality
According to a 2018 study conducted by Gartner, poor data quality costs companies a whopping $15m per year. Gartner also observes that this situation could worsen considering the complex nature of data sources and the massive volumes being collected. Also it leads to informational crisis, not to mention the wasted time and resources that were put in organizing all that useless data. Invest in collecting just enough data and make it good quality. Big data is the future of smart businesses, but only when it used good quality data to begin with. 

Overestimating predictive analysis
One of the most alluring promises of big data is predictive analytics. predictive analytics for businesses is a wonderful way to identify patterns and build algorithms to generate models that will help you perform better customer segmentation and provide wonderfully personalized services, but it cannot tell you the future. The idea is to set realistic expectations from your big data project and always use it with a pinch of human intellect and business knowledge. 

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