Don't Make These 14 Common Big-Data Mistakes At Your Business

https://www.forbes.com/sites/forbestechcouncil/2020/01/15/dont-make-these-14-common-big-data-mistakes-at-your-business/#3a292d3b3ca8

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Regardless to the modern technology, corporations can use data analysis to 
make decision. However, we cannot underestimate the complexity of the data. In this article, members of the Forbes Technology Council may give tips to help the company to avoid and correct mistakes.

First of all, the analysis paralysis. Make up a plan before getting to the big data world. Do not rapidly get into a overwhelming amount of data collection. Always make sure that there is a party help to manage data hygiene. It is so important to keep accuracy and quality of data. Be careful anytime and don’t miss the extracting and implementing insights from information.
For the vision, it is better to focus on  long-term value to the business. Lack of analytics training, such as sensors it may sometimes fail to analysed but collect a large amount of data. The good practice is to hiring someone drives organisational change and dedicated to takes action. Data is not for evolve, the good use use of data is first organize, than see patterns through analysis than make functional improvements. Moreover, don’t jump too fast. Having a smaller scale test first or ask experts for help. Carefully collecting, analyzing and sharing data in ways drive progress. In stead of hiring BI team devoted to managing data acquisition and utilization. Sacrificing data security Which means adopt a comprehensive secure the data. Also, Put equal value on big data analytics and solutions that can automatically act on the results. And, automated solution help collect, reconcile, analyze and report energy data, it is can better for manage sustainability objectives, boost operational efficiency and cost savings. 

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