Applying Intelligence for Business Value and Insight

In today’s competitive business climate, especially in the health care and insurance industries, executives and decision makers need more immediate access to more relevant information than ever before. Decision makers need a more intelligent view of the enterprise; one that enables them to exploit information as the basis for practical and positive action to reduce costs and losses, streamline business processes, increase profitability, and comply with government regulations. For example:

• How much of the decision-making process is automated?
• How is risk assessment evaluated?
• How do providers and clinicians share and update patient data?
• How current, or outdated, is the information used to make decisions about treatment or acceptance/rejection of policies or claims?
• How much money is lost to payments for fraudulent claims or invalid or duplicate bills?
• How much time and money is spent on staff training?
• Are there government regulations such as HIPAA that need to be addressed immediately?New technologies are available that not only enable businesses to address these issues, but also describe a sequential approach that lets each business deal with their most pressing challenges first. The right solution needs to:
  • Present the right information to the right people at the right time—all in a personalized way
  • Enable business users to analyze both historical and current information from multiple perspectives
  • Build and distribute informative reports that enhance an organization’s knowledge-base and develop decision-support systems that mirror business processes
  • Make it easy for customers, partners and employees to access the broad range of information resources they need to make informed decisions and work more effectively
  • Deliver applied intelligence that enables an organization to capitalize on untapped markets and new opportunities, re-engineer business processes and implement new business models with speed and accuracy.

Information Delivery Maturity Levels

In working with thousands of customers at various stages of technology adoption and evolution, we at Computer Associates have defined a new Information Delivery Maturity Model—one that provides the basis for sequentially addressing the challenges and opportunities surrounding knowledge delivery within an organization, and for identifying key requirements and tools to improve the levels of information access, relevancy, and analysis.

Our Information Delivery Maturity Model defines four levels of Information Delivery. As organizations progress through the four levels, they attain increasingly detailed information access and analysis required to improve and automate the business decision-making process.

Level 1: Centralized Access to Data

Level 1 is about centralizing access to data, or raw material. This can include both structured and unstructured data, database output/access, documents, spreadsheets, slide shows, text files, PDFs, digital content, graphics, bitmaps, etc. Prior to reaching Level 1, organizations and people are mired in manual processes or can’t get access to business data without relying on IT or outdated printed reports.

Level 2: Trustworthy Information

Once organizations attain centralized access to data, they have a need for more objective, trustworthy and usable information. Prior to reaching level 2, organizations and people have access to a glut of data, but need to make it useful and relevant, and often have multiple versions of the same information without knowing which is the right one.

Level 3: Relevant Information as Knowledge

Once the organization has trustworthy information from known sources the next challenge is to apply rules and predictive analysis to make data relevant to individual needs. Level 3 delivers only knowledge that’s relevant to each individual’s area of responsibility.

Level 4: Intelligent Action

An organization that is able to deliver relevant information has empowered its decision makers with the right information. But each decision must still be made on a case-by-case basis, no matter how routine or how often the same conditions result in the same decision. Level 4 applies predictive and rules technologies to automate the routine decisions, enabling executives to spend time handling exceptions and non-routine issues.

For more information visit CA’s CleverPath to see how CleverPath solutions can deliver the business intelligence you need