Scott Koegler

Scott Koegler

Scott Koegler is Executive Editor for Big Data & Analytics Tech Brief

Stay Away from these Mistakes with Your Data

Big data and analytics have become a success story for some organizations. However, most of them have never realized the full potential of big data because the real power of this technology has been restricted to small parts of their operations and businesses. Therefore, while others have immensely benefitted from big data, some are still struggling to see how it will help them. According to Gartner, only 20% of analytics insight will deliver the business outcomes this year. This low percentage of delivery is due to various mistakes. Due to this challenge, this article lists some mistakes you should avoid in your big data initiatives.

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Your Data is Important for the Growth of Your Business

In today’s business environment driven by information, data has become a key component necessary for growth. The more you understand your business needs and the changes in the industry, the better you will be organized. Furthermore, with the right information at your disposal, you can strategize better. This is where big data comes in. Big data has unlocked fresh opportunities, provided remarkable insights into the market and increased awareness of new possibilities. If businesses are to take advantage of the information they gather using analytics tools, they must invest in people and be knowledgeable of the necessary infrastructure. These can be achieved with the right leadership, which will draw data to make wise and informed decisions.

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These Data Analysis Projects are Gaining Attention  

Data analytics projects can be challenging to many organizations, especially those entering the murky waters of data analysis for the first time. While you may think data projects need to be complex or showy, that is not always the case. Rather, the most important thing you should do is demonstrate your skills using data sets that interest you. The good news is that any organization, regardless of the time they have spent, is that data is everywhere, and you need to know where and how to find it and what to do with it.

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