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7 familiar myths regarding Big Data analytics

Big Data analytics is in the buzz since a while, but people still have various misconceptions about it and the way it functions to assist you in transforming your business goals. Irrespective of the industry you are into, your company processes a huge amount of data raw data that can be tapered to a more organized form.

Let’s have a look on the common myths about Big Data:-

1. Big Data means lots of data

When you hear Big Data, instinctively an image of loads of data floats in your mind. Big Data is not all about having a huge bank of information which is hardly of any use, it means having quality data which is useful for your business. Having a huge data bank means, it is prone to have redundant and duplicate entries. Big Data analytics helps you streamline the right data, irrespective of the quantity.

2. Big Data is extremely essential

Having raw and unprocessed data is practically of no value for an organization, unless it is sorted and effectively organized to meet the specific needs of the IT system that manages it. Big Data is crucial but only when it is organized, Big Data analysis is essential for such situations, in order to segregate between valuable and worthless data.

3. Revolutionizes business

It is a misconception that Big Data analysis would always bring a revolution and take your business into to unexpected heights of success. Even though you have professionals with data analytics certification to assist you, to gain immense success you have to focus on other aspects of the business as well. These data analysts will help you pick the right data from your data bank, but not transform it into something that evokes action for success. They make the data ready to be used efficiently; you have to use it right for getting better results.

4. Big Data delivers self-learning algorithm

It is not true to the core, as companies incorporating the outcomes of Big Data analysis in delivering services to their customers don’t have a consistent success rate. It is because, customers buy products or services with their changing needs, one have to figure out the data depending on their pattern of shopping. Big Data is a way to collect and process the data; only when the data is apt for your organization’s growth you get positive results.

5. Big Data for big companies only

Though, all the largest companies in the world employ data analytics to effectively use the data they have, it is not limited to big companies only. Small enterprises can make use of Big Data analytics, irrespective of the size and kind of industry they are dealing with.

6. Big Data analytics a solution for everything

Big Data analysis is not a magic wand, though it can bring numerous benefits for your business. When it is collaborated with other effective measures, then you see the results. Proper translation of data ensures a high return on investment.

7. Replacement for your data warehouse

‘Big Data’ can’t replace your ‘data warehouse’; they serve different purposes for your business. Processed customer data is stored in a data warehouse; it is a storage system containing the Big Data. They are mutually exclusive.

You need a personnel having  big data analytics certification or with immense expertise in data analytics to process and streamline the data using a reliable software solutions such as Big Data hadoop to help you in this regard.

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