For more than a decade, Silicon Valley’s technology investors and entrepreneurs obsessed over social media and mobile apps that helped people do things like find new friends, fetch a ride home or crowdsource a review of a product or a movie.
In the current macroeconomic environment post economic downturn and with rise in number of regulatory norms, growth in the Banking, Financial Services and Insurance Industry is hard to come by. Add to that the growing demand of customers for better services as a direct relation to them also being better informed, and they will not think twice to switch to a competitor offering if they are not happy with the services. Such a situation calls for a complete revamp in the working methodology of BFSI Industry. Find out how adoption of Analytics can foster this.
The Optimism around Digital and Analytics
The prospect of adopting Digital and Analytics has a very high approval among most of the top companies and executives. According to a Gartner Survey, by 2016, around 50% of businesses intend to go significantly digital, and that number is anticipated to go till 83% by 2019. Businesses are focusing on three key areas – Big Data & Analytics, Digital Marketing & Social Media and Mobility Solutions & Cloud Integration
The modern consumers have changed. With the advent of internet, and easy access of it, finding what they are looking for has become easier. Customers nowadays perform a lot of research before they purchase a product. They now expect to receive personalized service customized to fit their preferences, which also keeps continuously changing. Converting a customer successfully requires a business know a lot about their buying behavior, to a level that even they themselves might not be aware of. If businesses want to stay ahead, they’ll have to know more and act quicker.
Today we will explore the application and inference driven from the path breaking data science approach from big data analytics in the field of Genomics. Research and data sciences driven approach in this field lays emphasis on sequencing technology which has resulted in the dramatic increase of sequencing data, which, in turn, requires efficient management of computational resources, such as computing time, memory requirements as well as prototyping of computational pipelines. I will be exploring these new techniques and solution oriented approaches in this blog entry.
The vast proliferation of data, faster computing and the need for continuous innovation to stay ahead of competition, has compelled organizations to rewind & look back in the past (hindsight), control the present (insight) and confidently embrace new opportunities in the future (foresight). Solving business problems and finding new areas of deliver increased value to the business stakeholders is crucial to the survival of any business in the ever-evolving marketplace today.
4/Oct/14 - Panelists V Laxmikanth of Broadridge, Sameer Dhanrajani of Cognizant and Vijayanta Gupta of Adobe join the discussion on 'Big Data and Marketing analytics' at ISB Digital Summit 2014. Prof. Praveen Kopalle moderates the discussion.