This article is the second in an editorial series that has the goal to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
IBM Platform Computing products can save an organizations money by reducing a variety of direct costs associated with grid and cluster computing. Your organization can slow the rate of infrastructure growth and reduce the costs of management, support, personnel and training—while also avoiding hidden or unexpected costs.
For a long time, the industry’s biggest technical challenge was squeezing as many compute cycles as possible out of silicon chips so they could get on with solving the really important, and often gigantic problems in science and engineering faster than was ever thought possible. Now, by clustering computers to work together on problems, scientists are free to consider even larger and more complex real-world problems to compute, and data to analyze.
In this new Guide to Big Data for Finance the goal is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively in today’s climate of working to increase the value of corporate data assets.
IBM (NYSE: IBM) announced today that Ping An Insurance (Group) Company of China, Ltd. (Ping An), the largest private insurer in the country, has implemented an IBM Software Defined Storage solution to help it speed data collection from one month to one hour, dramatically improving its ability to meet new regulatory requirements such as the annual audit and industrial data analysis.
Collibra, named a leader in the recent Forrester Wave on Data Governance Tools, announced its award-winning platform has been further optimized with the launch of advanced platform version 4.3.
Service quality is one of the most prominent reasons why customers switch banks. With credit card transactions and loyalty programs, banks possess far more data about customers than any other industry. But in spite of all the data, banks are unable to effectively deliver personalized service. The reason?
“We give Hadoop the predictability it needs, let organizations see what it’s doing (with detailed usage metrics for every user, job, and task, in real time), and help organizations get the most out of their hardware investment. We are not for the organizations that have just entered into their first Hadoop project (because they don’t rely on it… yet). We are here for those who already rely on the business-critical data and functionality Hadoop can deliver.”