Is matching the right life-event offers for products and services to prospective customers possible? Predictive industry analytics solutions can help those in the banking industry transform their businesses by targeting the right offers to the right people at the right times in their lives. Know
Creating and maintaining an adaptive organization is well within reach through advanced analytics and innovation, and the right analytics solutions can help businesses transform data-driven insight into actual value without the nightmares from shifting market conditions and information overload.
Do you know what your banking customers need, or are you taking a gamble that you are offering and providing them the right products and services at the right times in their lives? Play this video game and see if you can anticipate what is on the minds of these banking customers.
Doing the math applies to just about every aspect of life. But love it or hate it, mathematics in the form of analytics and statistics offers a path to valuable insight that can enhance business value.
If your world is anything like mine, this week has flown by and, with it, a large and growing list of articles that I want to find time to read! To help, I’ve made a list of the articles that we might both be interested in.
Companies are looking for new ways to transform their business using data and analytics to get the insights they need to make the best decisions. Employees can start on the path to discovering business insights at the IBM Vision Conference.
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and
Big data and analytics are profoundly affecting the world around us. One of the focal points of my postings has been how big data and analytics affects, specifically, our personal privacy. An old and perhaps far too familiar twist on this has risen to the forefront of discussion and that is the
Confidence in data is essential regardless of the bigness of the data being analyzed. In order to make business decisions based on the analysis of data, you need to be sure that the information upon which you are making those decisions is trustworthy.
Before business users can start to analyze data and consider the next best actions to improve results, it is typically required to submit a request for the data. Depending on the backlog of requests to IT, the business user might have to wait days, weeks or more before moving ahead with analysis