Big Data has immense potential to benefit the organizations irrespective of their size and nature of businesses. Adopting Big Data helps companies to organize and streamline their businesses. At the same time, there are many myths around Big Data leading to misconception towards the benefits of Big Data. Below are mentioned some popular myths about Big Data along with the facts that help to know about Big Data.
Big Data can predict future:
Many organizations believe that Big Data can predict future. Though Big Data can provide you with a lot of numbers to interpret about future that doesn’t mean that Big Data can give you insights on the future. Big Data usually provides the numbers and insights based on the past data and this interpretation actually depends on the questions that were asked and the selection of data that was used for the process. So, Big Data is not 100 % accurate as there is human involvement in the process and humans can make mistakes and miscalculates.
Big Data is for big and large businesses:
Though Big Data is a buzzword in these days, many companies still don’t use Big Data because they believe Big Data is only for the big businesses. This is not at all true. Because any organizations (corporate, SMEs, start-ups) can use Big Data if they have proper resources like Big Data professionals, tools, etc. and can get benefited by this Big Data. So, Big Data is not limited to the giants or the prodigious companies, anyone can use it.
Big Data needs to be clean:
“The biggest myth is you have to have clean data to do analysis,” no organization has clean data. So, if you believe that you need to clean data before analysing, then this is nothing but a wrong concept of Big Data. A company can take its data and can analyse it despite all the dirtiness. An organization can focus on the data quality work to improve the quality of data so that they can get a slightly better insight from the data.
Data analysis is expensive:
Many organizations don’t want to get started on Big Data as they believe that Big Data analysis is an expensive endeavour and it will exceed their budget. But the market is crammed with a lot of free data tools and by using all these tools, anyone can analyse Big Data.
You need to take the advantage of Big Data at any cost:
Since Big Data is everywhere, most of the companies are assuming that everyone is taking the advantage of Big Data. But as per the last year’s Garter’s survey, only 13% of large companies are using Big Data and are deploying any Big Data oriented solutions. Many companies are yet planning to invest in this particular field. Hence it is recommended that go slowly but steadily and build your own Big Data team so that you start in a small way and take the full advantage of Big Data gradually.
Big Data means only Hadoop:
Many people often believe that Big Data is synonymous with Hadoop. Hadoop is basically an open-source software framework which is written in Java language so that it can work with a chunk of data sets. It is designed in such a way so that it can scale up from a single server to hundreds of machines. But Big Data doesn’t mean Hadoop only. Because in this type of data most of the information comes from various sources like events, feeds, social media platforms etc. in form of different challenges which are solved by a technology or product like Hadoop.
Big Data is a new thing:
Though Big Data is a hot topic in these days this is not at all a new thing. The fact is that this is not a new discovery. Enterprises and business houses have been working with a plethora of information for decades. The only new thing is analytics which helps the organization in reshaping their businesses. The core objective of Big Data analytics is to explore various analytic techniques to a large amount of information in numerous types of data including unstructured data which consists of text, sound, documents, images, geolocation data, and movie files.
Big Data is an awesome tool in itself that is remarkable and game-changing, like smartphone or computer device. In order to climb the bandwagon of Big Data, one must discard all these myths and spend time to know the real facts about Big Data and the benefits it can bring to business.