Big Data has become the buzzword for businesses over the last few years. Each year a huge amount of data is being produced through various means. Business organisations gather and analyse the data to gain useful insights. But data without structure is meaningless. Unstructured data requires enormous time to be sorted out and may turn out to be insignificant.
Big Data transforms into smart data when unstructured data is converted to structured data in a quick and efficient manner. Smart data analysis helps to provide rich insights that can be extremely important for business needs. We bring to you 5 useful tips needed to convert Big Data into Smart Data.
1. Search for the appropriate data
These days there is an abundance of social data that are easily available from blogs, forums, social networking sites, etc. The first step is to look for a particular topic on a search engine. The results of a search engine normally reflect a lengthy list of posts or articles concerning the searched term. But the list of results is displayed in no specific order. The need is to search for the appropriate data by applying proper filters.
2. Apply suitable filters to get useful data
The second step is to apply suitable filters to seek out useful information. Different kinds of filters can be applied to the data to get appropriate results. With the proper use of filters unstructured Big Data can be streamlined into a more manageable form of data. The use of multiple filters result into data from which insights can be drawn, but further work on the data is required to get more efficient results.
3. Use appropriate resources
To obtain information from the filtered data in an efficient manner one needs to make use of the right skills and right tools. Efficient analytical skills are very important for drawing insights from data. A person who possesses such skills can analyse large volumes of data and obtain meaningful information from them. The use of appropriate tools also helps in drawing insights from the data.
Tools help to save time and produce faster results in analysis. The combination of data, a skilled analyst and analysis tools can help business organisations to convert Big Data into Smart Data effectively.
4. Analyse the data to get insights
The next step is to analyse the data as analytics is the key to draw useful insights from data. The application of advanced analytics helps an analyst to turn data into actionable insights or information. Advanced analysis of data helps business organisations to identify patterns in the data and take decisions based on the results of the analysis. This makes data analysis a vital step in the process of converting Big Data into Smart Data.
5. Adopt the right strategy
After passing through the strategic steps of searching, filtering and analysing, the data becomes a source of rich actionable insights. With each of the above mentioned steps, the data becomes more refined than the previous step and acquires the ability to provide better insights. It becomes clean and context-based data that can be used in diverse forms. Once the desired insight is acquired, business organisations can use the information to create new business strategy or reform the existing strategies.