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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 analysis services measures data


Six Steps to Manage Data Quality with SQL Server Integration Services
Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

CRM for Financial and Insurance Markets

Customer relationship management (CRM) focuses on the retention of customers by collecting data from all customer interactions with a company from all access points (by phone, mail, or Web, or in the field). The company can then use this data for specific business purposes by taking a customer-centric rather than a product-centric approach. CRM applications are front-end tools designed to facilitate the capture, consolidation, analysis, and enterprise-wide dissemination of data from existing and potential customers. This process occurs throughout the marketing, sales, and service stages, with the objective of better understanding one’s customers and anticipating their interest in an enterprise’s products or services.  

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Documents related to » analysis services measures data

CPR on BPR: Practical Guidelines for Successful Business Process Analysis


Part 2 of a series on Business Process Reengineering: Long Live Business Process Reengineering. In this Part, we discuss some practical steps for actually performing business process analysis and fostering change in your company.

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Reporting Value of IT Services with Balanced Scorecards


A balanced scorecard is a measurement system for management that provides real insight into the status of a business or some part of it. Developed by Kaplan and Norton in the early 1990s, balanced scorecards provide a control system that helps ensure the right balance between different, and often times conflicting, perspectives. For example, an insurance company may increase profitability by offering incentives to claims assessors for taking a tough stance on payout, but will soon find dissatisfaction among its clients that may lead to lost business. Scorecards help ensure this balance and are an improvement over more traditional single dimension approaches that tend to be based purely on expense management and business growth.

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How One Sourcing Vendor's Offerings Are Bolstered by a Wealth of Services


Eqos is especially proud of its complementary services portfolio, which stems from a decade's worth of direct experience in providing some of the world's leading retailers with sourcing and supplier management solutions.

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Financial Analysis Clears the “Profit Haze”


Designed to be agile and dependable, financial analysis solutions can bring clarity to the reasons behind your company’s growth, and help steer you toward future growth. Learn how financial analysis solutions enhance the value of your existing business support systems, and distill enterprise-wide information to answer the question: How can we increase revenue, maximize profits, and increase our competitive advantage?

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Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

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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 extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

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How the Right Mix of Static Analysis and Dynamic Analysis Technologies Can Strengthen Application Security


In searching for tools to implement an effective application-security strategy, managers have a choice between two technological approaches: dynamic analysis and static analysis. Available in a variety of freeware and commercial automated tools, both approaches promise comprehensive detection of security vulnerabilities. But a truly effective strategy may require a mix of both.

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Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

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Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

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