Discover nine fields of study for corresponding data analysis professionals that contribute significantly to analytics projects, their key value propositions and challenges and high-level suggestions for categorizing and organizing the rapidly growing analytics resource pool.
A system of insight ecosystem enables individuals to locate and access data, build visualizations and create analytical models that can help improve the operations of organizations. See how the data reservoir reference architecture describes the technical capabilities necessary for a system of
In a recent IBM Institute for Business Value study, discover how business leaders take big data and analytics to the next level by creating a platform for advancing, identifying and defining innovation.
The speed at which executives expect data-driven insights is accelerating. How can organizations ensure that investments they make in analytics today will have the flexibility to cope with the demands of tomorrow? Successful outcomes require a business-driven approach, and the big data and
Data scientists combine quantitative and statistical modeling expertise with business acumen and a talent for finding hidden patterns. IBM BigInsights 4.0 helps them accelerate data-science initiatives through support for Apache Spark 1.2.1, which can deliver dramatic performance improvements.
The Internet and social feeds are chock full of blogs, news and articles on the strides the public sector is making with big data and analytics. This Public Sector News series skims the wires and pulls out interesting articles that provide fodder for thought and debate.
Humankind is witnessing substantive paradigm shifts for big data that are transitioning business from recording and reporting approaches to analyzing and predicting practices. Take a look at some emerging data-centric use cases that reveal how automation, the Internet of Things and big data and
Cloud-based consumption models bestow a real-time experience for organizations applying analytics cost-effectively for specific use cases. Take a look at three scenarios that illustrate the democratization of technology consumption specifically focused on analytics.
No one wants to be in a position to submit an insurance claim, but customers that maintain adequate insurance for their property and possessions have every reason to expect a rapid claim resolution process. Predictive analytics can help insurers stay in tune with their policyholders by responding
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
Operational insight offers understanding of asset performance and process productivity in the oil and gas industry. Producers who employ predictive analytics can move toward a maintenance strategy that is highly cost-effective and efficient.
Do you know what your policyholders need, or are you taking a gamble and hoping that you are offering them the right products and services at the right times? Play this video game, and see if you can anticipate what is on the minds of these insurance customers.