Read this white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business.
Download this white paper to learn about the architecture, deisgn and execution environments for this leading-edge technology, as well as recommendations on how to manage an implementation of this decision management solution.
In today’s mobile, connected era, customers expect perfection from their service providers. With competitors only a click (or tap) away, companies have a strong incentive to deliver flawless operations. Online retailers have “set a high bar” in the way that they engage customers throughout the entire sales process—not just during the commercial transaction, but before, during and after the transaction. Can your insurance company meet the challenge?
In this report by Forrester Research, find out what 120 executives in the US with influence and decision-making responsibility regarding healthcare management do to manage costs and increase employee engagement.
"Ever wonder how FICO Blaze Advisor moved a US Insurance Company from 100% manual to 99% automated underwriting?
FICO Blaze Advisor decision rules management system created a central, standardized and user friendly system for ACG Michigan"
The unifying concept that defines FICO and its substantial technology and solutions stack is Decision Management. This term has not yet become mainstream - but it will. All business analytics activities are performed with the single aim of improving the accuracy and efficiency of business decisions. This applies to business intelligence, data visualization, data mining, business rules management, and many other forms of analysis. Unifying these activities under a single discipline means that currently fragmented analytical efforts can be combined into a single whole, with benefits that will be discussed in this review.
Read this brief to learn how FICO is helping retailers and grocers to use optimization to increase decision accuracy by 5%-40%, while deploying optimization applications up to 80% faster than possible – collectively, providing businesses with the ability to drive more revenue and customer connectivity while reducing costs.
A number of high-profile security breaches over the last two years have highlighted the damage that a rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all business organizations have deployed the type of privileged identity management (PIM) solution that could help improve the situation.
This Ovum Decision Matrix (ODM) provides an in-depth view of the leading PIM solutions that are available to deal with these issues. It compares their technology, the market position each vendor has achieved, their ability to execute, and the overall maturity of each offering.
Within any organization, the most dangerous users are those with privileged access to the company’s
most valuable and sensitive data assets. This includes systems administrators, business managers,
partners, suppliers, and service providers, and also takes into account the automated interactions
between business machines, systems, and applications. Privileged access has always been a
high-risk issue, but for too long, organizations have not understood or have chosen to ignore the risks,
preferring instead to rely on the integrity of the individuals and systems involved.
A number of high-profile security breaches over the last two years have highlighted the damage that a
rogue systems administrator or stolen privileged credentials can cause. Today, fewer than half of all
business organizations have deployed the type of privileged identity management (PIM) solution that
could help improve the situation. This Ovum Decision Matrix (ODM) provides an in-depth view of the
leading PIM solution
Data is only as good as the insights it produces, the actions it influences, and the results it fosters. That’s the secret recipe for data management. Your business stakeholders depend on data-based insights to drive decisions and priorities throughout the organization. Insights based on sound data practices can give your business a competitive advantage in the marketplace. Is your data management system ready to support your business?
Find out using Forrester’s Data Management Infrastructure Self-Assessment Tool. IBM has licensed this tool to help you identify the areas of strength and opportunities for improvement.
Case management continues to gain traction as a key capability in the information management space – supporting work that is unpredictable, information-centric and driven by human decisions. These are the processes that often directly touch your customers and stakeholders, including areas like contract management, claims processing, customer service, incident tracking and more. Download this eBook to explore three steps you can take to embrace a case management approach – improving employee productivity and customer experiences.
In an era of "lean IT," the centralized management capabilities of cloud-managed Wi-Fi make it an attractive option to manage and maintain wireless LANs (WLANs) across multiple locations.
The decision to move WLAN management to the cloud requires one key assurance: end-to-end security from user devices to the cloud. This means that user data must be protected over the WAN and in the data center. These security measures should not require on-staff WLAN security expertise to manage. And security measures should be largely transparent to users.
This paper provides an overview of the security architecture of Ruckus Cloud Wi-Fi, as well as best practices for specific security scenarios.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t