Internet of things plus rise in connectivity via digital interactions has led to creation of enormous data with every passing movement. If we analyse the generation of data by security forces and data used by security forces we cannot disagree that a single breach of data can result in compromising security of the nation. Making it extremely important to for us to ensure both effective use of data and data security.

General Bipin Rawat while addressing 11th edition of GEO Intelligence Asia, organised by GeoSpatial Media and Communication with Directorate General of Information System as Knowledge Partners and Military Survey as Co-organisers, emphasised that security forces including armed forces are the repository of bid data. Given the fact it is important for us to institutionalise the collected data and move towards big data analytics. He stressed that Big data analytics can help the armed security forces to have predictive analysis for a better security strategy.

Currently as stated by, Lt. General Anil Kapoor, Director General, Information System, Data is valuable as oil. Indian army is already aware of its importance and moving in the direction of “redefining and refining legacy applications into state-of-the-art software by using contemporary technologies.”

However, we must understand that not just army but all armed forces need to move towards institutionalising data. We have to understand national security in comprehensive terms ensured by separate security forces. They may generate independent data and its patterns based on their scope of responsibility. But they still are likely to intersect in order to have effective data analytics for ensuring both internal and external security.

Considering the fact that huge data is generated in terms of intelligence and records in everyday operations of security forces, analysing the enormous data becomes extremely difficult by traditional sorting. In many a cases this proves to be a major amiss of broken links deviating the security forces from the rightful terrain of intelligence that they possess already. Moreover it also serves as a major drawback in context to analysing such data by limited manpower available leading to both time and quality constraints.

Both pre and post security situation analysis is highly based on the quality of data. The quality of data is highly dependent of classification which helps making an effective predictive security strategy and implementing it further.
Also Indian security forces have been trained to work on manual classification methodologies which is a big challenge in adopting Big Data Analytics. Hence it is important that all internal and external security forces not just adopt big data analytics but also work on developing and training the skillset of security personnel involved in the same.