Big Data association and aggregation

Organizations are dependent on Information technology, They are forced to collect information as a part of their day to day electronic transactions. Such collected information silos are scattered across various cooperating and independent organizations. Management models have evolved into collaborative business models leading to a win win for member or partners of the coalition. Such organizations with excellent chemistry have exercised partnerships to exploit their combined strength to win. These firms include, enterprises, large organizations and government departments have aggregated volumes of data on individuals, spread across their verticals, profiled individuals, and are today looking for synergies and opportunities for cross-fertilization leading to better insight and better business. Such firms churn data with a greater velocity and variability through the multitudinous elements composing the business canvas.

Apart from the operational data addressing the IT systems, which are internal, customer centric data from elements like blogs, social media networks, and location based services, browser based data, which impact the business portfolio and provide business variations in terms of USP to the respective firms are generating valuable insight on customer profiling. Adding fuel to this is the dynamic business environment shifting gears to consolidation and Cloud computing where data could be aggregated. For example cloud oriented and / or localized application and infrastructure events provide a real time insight on usage patterns. Such events governed by SIEM modeling methods  would benefit on Big-data. For example, ATM transactions are profiled to manage location based profiling, which can trigger on abnormalities and throw additional checks. For example, social network and blog entries have come up with their specific search engines to analyze data in real-time. If such aggregated data could be exploited to trigger on data-patterns, organizations would be in a position react with appropriate change management initiatives. On a parallel lookout this is similar to the established just-in-time strategy with the difference being micro managed scope of coverage.

Author - IT for Management, Oxford Press