With the advent of big data, organizations worldwide are
attempting to use data and analytics to solve problems previously
out of their reach. Many are applying big data and analytics
to create competitive advantage within their markets, often
focusing on building a thorough understanding of their
High-priority big data and analytics projects often target
customer-centric outcomes such as improving customer loyalty
or improving up-selling. In fact, an IBM Institute for Business
Value study found that nearly half of all organizations with active
big data pilots or implementations identified customer-centric
outcomes as a top objective (see Figure 1).1 However, big data
and analytics can also help companies understand how changes
to products or services will impact customers, as well as address
aspects of security and intelligence, risk and financial management,
and operational optimization.
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools.
Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
Banks face many challenges as they strive to return to pre-2008 profit margins including reduced interest rates, unstable financial markets, tighter regulations and lower performing assets.
Fortunately, banks taking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience.
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
For many enterprises System z is central to modern analytics because of the vast quantities or rich data stored upon it – not to mention excellent qualities of service. Carl Olofson, an IDC analyst looks, at the role of the mainframe in relation to big data, how it has become a hub for modern day analytics, its ability to integrate information from other sources to enhance business decisions and how it is positioned for the future. Download this paper and learn.
This white paper examines how some of the ways organizations
use big data make their infrastructures vulnerable to attack. It
presents recommended best practices organizations can adopt
to help make their infrastructures and operations more secure.
And it discusses how adding advanced security software solutions
from IBM to their big-data environment can fill gaps that
big-data platforms by themselves do not address. It describes
how IBM® Security Guardium®, an end-to- end solution for
regulatory compliance and comprehensive data security, supports
entitlement reporting; user-access and activity monitoring;
advanced risk analytics and real-time threat detection analytics;
alerting, blocking, encryption and other data protection capabilities,
as well as automated compliance workflows and reporting
capabilities, to stop threats.
Scalable data platforms such as Apache Hadoop offer unparalleled cost
benefits and analytical opportunities. IBM helps fully leverage the scale
and promise of Hadoop, enabling better results for critical projects and
key analytics initiatives. The end-to- end information capabilities of
IBM® Information Server let you better understand data and cleanse,
monitor, transform and deliver it. IBM also helps bridge the gap between
business and IT with improved collaboration. By using Information
Server “flexible integration” capabilities, the information that drives business
and strategic initiatives—from big data and point-of- impact analytics
to master data management and data warehousing—is trusted, consistent
and governed in real time.
Since its inception, Information Server has been a massively parallel
processing (MPP) platform able to support everything from small to very
large data volumes to meet your requirements, regardless of complexity.
Information Server can uniquely support th