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Documents related to » insurance data model


Case Study: Celina Insurance Group
Celina Insurance Group, a mutual insurance carrier that serves eight states in the midwestern US, wanted to increase competitiveness against larger insurance carriers by integrating independent agents into business processes and providing superior services and support. Find out how a new collaborative extranet helped the company reduce policy turnaround times, improve service to agents and customers, and more.

INSURANCE DATA MODEL: Case Study: Celina Insurance Group Case Study: Celina Insurance Group Source: IBM Document Type: Case Study Description: Celina Insurance Group, a mutual insurance carrier that serves eight states in the midwestern US, wanted to increase competitiveness against larger insurance carriers by integrating independent agents into business processes and providing superior services and support. Find out how a new collaborative extranet helped the company reduce policy turnaround times, improve service to agents
4/9/2010 12:26:00 PM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

INSURANCE DATA MODEL: Achieving a Successful Data Migration Achieving a Successful Data Migration Source: Informatica Document Type: White Paper Description: The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.
10/27/2006 4:30:00 PM

SAP Expands Its Insurance Solution via Camilion Acquisition » The TEC Blog
SAP Expands Its Insurance Solution via Camilion Acquisition » The TEC Blog TEC Blog     TEC Home     About TEC     Contact Us     About the Bloggers     Follow TEC on Twitter    RSS   Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here.

INSURANCE DATA MODEL: camilion, ERP, industry watch, Insurance, Mobile, Oracle, productauthority, SAP, sap hana, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
07-03-2013

Adrenalin Case Study: Bharti AXA Life Insurance
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INSURANCE DATA MODEL: Study: Bharti AXA Life Insurance Adrenalin Case Study: Bharti AXA Life Insurance Source: Adrenalin eSystems Document Type: Case Study Description: . Adrenalin Case Study: Bharti AXA Life Insurance style= border-width:0px; />   comments powered by Disqus Source: Adrenalin eSystems Learn more about Adrenalin eSystems Readers who downloaded this case study also read these popular documents! TEC 2013 CRM Buyer s Guide for Medium and Large Enterprises TEC 2013 Market Survey Report: What Organizations Want
5/24/2012 4:12:00 PM

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, 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.

INSURANCE DATA MODEL: Data Storage in the Cloud—Can you Afford Not To? Data Storage in the Cloud—Can you Afford Not To? Source: Riverbed Technology Document Type: White Paper Description: 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
7/12/2011 2:19:00 PM

Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.

INSURANCE DATA MODEL: Poor Data Quality Means A Waste of Money Poor Data Quality Means A Waste of Money Olin Thompson - September 23, 2003 Read Comments What Is Data Quality? When reality and the data in your system do not agree, you have a data quality problem. The system says you have 10,000 cases but you actually have 9,850. A customer s ship-to address is out of date. You have the same piece of information in two places in two applications or even two systems, but they do not agree. Many things can cause data quality
9/23/2003

Logs: Data Warehouse Style
Once a revolutionary concept, data warehouses are now the status quo—enabling IT professionals to manage and report on data originating from diverse sources. But where does log data fit in? Historically, log data was reported on through slow legacy applications. But with today’s log data warehouse solutions, data is centralized, allowing users to analyze and report on it with unparalleled speed and efficiency.

INSURANCE DATA MODEL: Information,   Finance and Insurance Source: LogLogic Learn more about LogLogic Readers who downloaded this white paper also read these popular documents! Sales Process Map Best Practices for ERP Implementation Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey How to Use Projects to Master Asset Management TEC 2013 CRM Buyer s Guide for Medium and Large Enterprises Acronym-Related White Papers: Business
2/8/2008 1:14:00 PM

Data Quality Trends and Adoptions


INSURANCE DATA MODEL: Data Quality Trends and Adoptions Data Quality Trends and Adoptions In today s highly competitive and volatile business climate, data quality (DQ) software is no longer perceived as a nice-to-have. As business pressures increase, more and more midsized and large organizations are looking to DQ solutions to improve operational efficiencies reduce costs and risks improve customer experience and loyalty increase revenue provide data transparency and audit ability achieve greater regulatory compliance In
8/23/2011 11:02:00 AM

Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly.

INSURANCE DATA MODEL: Protecting Critical Data Protecting Critical Data Source: Stonefly Document Type: White Paper Description: The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Protecting Critical Data style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Warehousing,   Database
10/19/2011 6:48:00 PM

Data-driven Design
Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven design processes.

INSURANCE DATA MODEL: Data-driven Design Data-driven Design Source: Extractable Document Type: White Paper Description: Creating and maintaining a successful digital experience that drives business results requires the right research insight, design, technology, and ongoing optimization. Forrester conducted an online survey of 209 digital experience professionals in the US to evaluate current practices around Web site monitoring and digital experiences. Read about the adoption, benefits, and challenges of current data-driven
5/15/2012 1:00:00 PM

How to Use Data Management Successfully
Find out in the white paper master data management: extracting value from your most important intangible asset.

INSURANCE DATA MODEL: How to Use Data Management Successfully How to Use Data Management Successfully Did you know that effective master data management (MDM) is a critical component in an efficient, successful business? With the amount of data in a typical organization escalating dramatically, data management has become your most important intangible asset . If you aren t managing your master data effectively, you could be opening the door to a host of problems: Part of your company is doing business with a client or account,
6/23/2009


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