Scott Koegler

Scott Koegler

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

Storage Resources Are Not the Only Issues for Big Data

Data has become a new goldmine for organizations. In the current age, no organization can function without data. With the huge amounts of data emanating from various sources every second from business transactions, social media, customer logs, and stakeholders, data has become the fuel without which companies cannot move. All the data is piled up in a large data set called Big Data. The big data needs to be analyzed to help in decision-making. Big Data has various challenges, including handling it in the best possible way. This involves processing, storing, analyzing massive amounts of data on various data stores. Here are some of the challenges that come into play while dealing with big data.

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Is It Possible to Have Too Much Data?

Big data analytics has significantly changed the marketing landscape for the better. At the same time, it has made things more complicated for marketers. Despite the data that organizations have in their possession being like a treasure trove consisting of actionable insights that can be leveraged to improve operations, the type of data is also crucial. Therefore, the digital marketing approach and the data-driven models that organizations adopt may not entirely mean that they will have a free ride in their marketing initiatives as most marketing firms would want to believe. Below are the reasons why it is possible to have too much data.

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Get Your Analytics Right

Data is the most important component of a business today. Although the concept of big data has been around for years, many organizations have not understood the importance of data. Most of them now understand that if they capture all data properly as it is streamed into their businesses, they can use analytics and get value. However, a good point to begin with is understanding what big data analytics is. Big data analytics is a process that involves the extraction of meaningful insights such as patterns, trends, correlations and customer preferences. It gives advantages and can be used to enhance decision-making in an organization. Modern organizations must embrace this new paradigm to compete effectively in the new business landscape. Here is why you need to get your analytics right.

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