Big Data for Application Support and Maintenance

Today, we live in an intelligent economy where there is intensive convergence of various technologies, broadband communication, and analytics. Increasing technology has defined new dimension to business and has created new challenges and opportunities. Recent decades have seen phenomenal increase in the online data in terms of its context and value. At some point in the future, every object we see will contain a device that will transmit data. Big Data is the emerging trend for creating new level of business value. Organizations now want to take advantage of changing and increasing data environment to enhance the business opportunity.

To drive business growth, organizations need to ensure that their applications deliver value throughout their cycles and ensure that the applications stay optimized by continuously measuring and analyzing their application portfolio’s performance. Big Data offers a helping hand to innovate and make margins while still focusing on the traditional application support and maintenance.

Level 0 or Level 1 Support:

• This is the vital point for most of the call center or support techies that determine the efficiency in handling support queries.
• Ideally support team should be properly trained and updated with real time information. But in reality there is latency in the data that is made available to support team.
• The reason for this is that most of the information available is from data warehouse which is not updated to the real time.
• To reduce this interval there is a need to sync data warehouse with the real time data.
• Big data helps allows choosing updated data from the various logs and presenting a 360 degree view of all transactions made by the caller/customer to CSR real time. This helps in making an informed decision.

Analysis of logs:

• Big data helps in effective and efficient analysis of logs from various servers like database, web, applications or networks. It also helps in tapering down the log streams and allows the focus on particular set of logs rather than scan through multiple pages.

Stability:

• Big data enables application stability which can be proactively monitored based on various parameters like growth in application size, database size, increase in number of users, problem log history, increase in number of releases and various other reasons that cause instability and affect the business growth.
• This can be altered using big data and ensure effective analysis of a cluster of parameters and throw potential insights on the application stability.

Customer Satisfaction:

• Big data helps monitor customer life cycle management by analyzing and understanding real customer satisfaction.
• This analysis would help companies to identify the area of improvement and take necessary steps and action.

Big Data means new opportunities for organizations to create business value — and extract it. In today’s fast moving economy, decisions need to be made faster than ever before. And those decisions must be based on the facts. Big data offers prospects to exploit the ever demanding needs of business to survive the competitive edge of success. Selecting the right big data technology for your application and goals is important. Various leading companies are using big data to achieve significant outcomes and an ability to predict trends before they happen and stay one step ahead of the competition. The most essential point on which lies the success of implementing big data for application support is aligning the business and IT professionals throughout the journey. The most effective solution is identifying the requirement through at first and tailor the processes, data, and resources to support and enhance business needs.


About Author:
Mohini Bhandari is a consultant in Systems Plus Pvt. Ltd. Within Systems Plus, she actively contributes to the areas of Technology and Information Security. She can be contacted at mohini.b@spluspl.com