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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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 insurance business intelligence data


Business Intelligence
The ability to extract and present information meaningfully is vital for business management. Indeed, business intelligence tools enable companies to make

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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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Five Steps to Business Intelligence Project Success


Many business intelligence (BI) projects fall short of expectations. Unless organizations implement a methodology and benchmark the success other organizations have experienced, BI implementations may fail to provide the desired results. This article identifies five steps organizations should take when implementing BI solutions.

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How Can Business Intelligence Benefit Small to Medium Businesses?


Research shows that the number one software solution that small to medium businesses plan to purchase in the coming year is business intelligence (BI). Download TEC’s latest podcast to find out why BI is so hot right now.

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Business Intelligence and Identity Recognition-IBM's Entity Analytics


IBM's Entity Analytics Solution (EAS) enables organizations to identify and connect individuals based on collected data and their associated data patterns. EAS is used primarily within governments and the financial and insurance sectors to detect and prevent fraud.

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Geocoding: Acquiring Location Intelligence to Make Better Business Decisions


By geocoding your address data, you have the location intelligence that helps you see patterns and create new opportunities to grow your business. There are three levels of positional accuracy, based on budget and business needs, as well as more enhanced levels of geographic accuracy. Learn more about geocoding, and how you can use it to perform market-specific data analysis—to strengthen customer relationships and more.

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Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

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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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The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

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Debunking the Top Three Myths of Business Intelligence for Midsize Companies


There is a belief that midsize companies simply can’t afford, can’t handle, or can’t appreciate business intelligence (BI)—but that’s simply not true. Midsize companies can and do benefit from a variety of tools built specifically for the midsize market that are often easier, less expensive, and faster to adopt and use than the ones designed for giant enterprises. Learn the truth behind the top three myths about BI.

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The Path to Healthy Data Governance through Data Security


Companies today are challenged to maintain their data safe and secure from hackers and others with unauthorized access. In his article, TEC business intelligence (BI) analyst Jorge García looks the risks and issues that companies face with securing their data, the importance and advantages of data security, and outlines a path that companies can follow to achieve data security as part of an overall data governance initiative.

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Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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