7 Powerful tips to convert your Big Data to Smart Data

7 Powerful tips to convert your Big Data to Smart Data

7 Powerful tips to convert your Big Data to Smart Data

Big Data is the focus area for businesses innovation, planning and start-up these days. Record amount of data is being produced every year by different devices and sensors. Gathering and analyzing this information is giving businesses more insights than ever before. There is tremendous amount of information being disseminated from social media posts, news articles and forums every day. To separate the meaningful information from the irrelevant data, you need a powerful technology that helps you use data in a smart manner.

Big Data is meaningless without structure. To begin with, it is just a pile of unstructured data that would take enormous time to sort out and may or may not yield any insights. Big data transforms to smart data when unstructured data can be converted to structured information effectively and quickly. Data is only useful if used in a smart way. This unstructured data, when combined with behavioral information and survey data, helps in getting rich insights. Data Analysis to obtain smart data is extremely important. Big Data Analytics has enabled us to investigate human behavior and especially human social interactions in a way which was not possible earlier. Smart data for business helps in understanding the world unlike ever before.

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Social data is present everywhere in the form of twitter tweets, facebook posts, blogs, forums and others as well. The first step is to search certain topic in any search engine. In the initial stage, there would be a long list of URLs or posts but not in a defined order. Eventually, the need is to search the right data using appropriate filters.

In the next stage, you can add different types of filters. Time frame can be the basic filter. For instance, you want results from last year, or a year before that. Thereafter, you can filter the information based on media channels like Facebook, Twitter, YouTube videos or other blog posts. Multinational companies look for the posts origination and the language in which it is written.  Adding few more filters can convert disordered Big Data to manageable smart data. These multiple filters helps in getting a fair idea of exactly when and where a particular topic is coming from. At this stage, there are plenty of insights that can be gathered but you need to dig deep down into the dataset for the right kind of data.

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To ensure that you get the right data, right skills helping in data analysis are needed. Skills relating to market research along with exceptional analytical skills are a requisite for data analysis.

 



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