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Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

claims data analysis  been stolen, and which claims are dodgy. Mobile-phone operators, meanwhile, analyse subscribers' calling patterns to determine, for example, whether most of their frequent contacts are on a rival network. If that rival network is offering an attractive promotion that might cause the subscriber to defect, he or she can then be offered an incentive to stay. Older industries crunch data with just as much enthusiasm as new ones these days. Retailers, offline as well as online, are masters of data mining (or Read More...
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Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications pro...
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Documents related to » claims data analysis


Epicor Claims The Forefront Of CRM.NET-ification. Part 2: Market Impact and User Recommendations
Epicor’s ability to enhance its products and its determination on executing product and technology strategies deserves commendation. Current users are advised

claims data analysis  and User Recommendations Epicor Claims The Forefront Of CRM.NET-ification Part 2: Market Impact and User Recommendations P.J. Jakovljevic & L. Talarico - June 12, 2002 Event Summary On May 21, Epicor Software Corporation (NASDAQ: EPIC), one of leading providers of integrated enterprise and e-Business and collaborative commerce software solutions solely for the mid-market, announced Clientele Customer Support 8.0 , the first application of the Clientele CRM.NET Suite that is completely built on the Read More...
GeoMetrix Data Systems
GeoMetrix is a privately-held company that provides enterprise learning management solutions for utilities, media, governments, universities, law enforcement

claims data analysis  Columbia, Canada. The company claims over 450 successful installations. The company's products handle scheduling, resource management, registration, reporting, launching, tracking, assessment and skills gap analysis. Read More...
Workday Tackles Big Data in the Cloud
At the recently held Workday Rising 2012 conference, Workday unveiled big data analytics for its users in human resources (HR) and financial departments

claims data analysis  per policy (based on the claims against them). An insurance company needs the agent data and order data from, say, salesforce.com Sales Cloud and also some policy rules data from some legacy insurance product to be mapped with Workday HR and Workday Financial Management data. The customer would need to perform the following steps: Collect and store—petabytes (PB)/terabytes (TB) of data Map, reduce, and analyze—to TB/gigabytes (GB) of data using Hadoop in the cloud; Workday also embeds the Datameer s Read More...
When Customer Relationships Meets Business Intelligence Marketing Analysis and User Recommendations
For many reasons, SAS's alliance with Amdocs and partnership with Aprimo might be some of a few vendor partnerships where customers and the vendors benefit.

claims data analysis  aware of a vendor's claims of vertical expertise. Enterprises should make sure that the vendors they are evaluating have the necessary expertise about the communications industry, and should even consider expertise in the relevant mini-verticals, to ensure that specific business models, workflows, and processes are understood and can be dealt with accordingly in the new system. After all, specific functionality requires essential structural change to the code, not mere cosmetic changes. This concludes Read More...
Types of Prefabricated Modular Data Centers
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod

claims data analysis  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More...
Data Storage in the Cloud-Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast,

claims data analysis  Storage in the Cloud-Can you Afford Not To? Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage. Read More...
MSI Data


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Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise
While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to

claims data analysis  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

claims data analysis  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a

claims data analysis  says OLE for Data Mining: Is it Bull? Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications. A dozen leading data mining and business intelligence vendors Read More...
The Teradata Database and the Intelligent Expansion of the Data Warehouse
In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role

claims data analysis  Teradata Database and the Intelligent Expansion of the Data Warehouse In 2002 Teradata launched the Teradata Active Enterprise Data Warehouse, becoming a key player in the data warehouse and business intelligence scene, a role that Teradata has maintained until now. Teradata mixes rigorous business and technical discipline with well-thought-out innovation in order to enable organizations to expand their analytical platforms and evolve their data initiatives. In this report TEC Senior BI analyst Jorge Read More...
Data Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security
Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all

claims data analysis  Security Is Less Expensive than Your Next Liability Lawsuit: Best Practices in Application Data Security Insecure data. Heavy fines due to non-compliance. Loss of customers and reputation. It adds up to a nightmare scenario that businesses want to avoid at all costs. However, this nightmare is preventable: knowledge base-driven data security solutions can be critical tools for enterprises wanting to secure not only their data—but also their status in the marketplace. Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

claims data analysis  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More...
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

claims data analysis  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More...

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