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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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 data mining data warehousing in crm


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

data mining data warehousing in crm  online, are masters of data mining (or business intelligence , as it is now known). By analysing basket data , supermarkets can tailor promotions to particular customers' preferences. The oil industry uses supercomputers to trawl seismic data before drilling wells. And astronomers are just as likely to point a software query tool at a digital sky survey as to point a telescope at the stars. There's much further to go. Despite years of effort, law-enforcement and intelligence agencies' databases are

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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 » data mining data warehousing in crm

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 proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

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Calculating ROI for Business Intelligence Solutions in Small and Midsized Businesses


For many companies, a challenging business event or critical business pain precipitates a conversation about business intelligence (BI). But don’t wait until you introduce new products, upgrade your IT environment, or notice that your inventory is increasing but not your sales. Find out how to build a return on investment (ROI) for your BI applications and projects, so you can leverage your own data before it’s too late.

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Four Critical Success Factors to Cleansing Data


Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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The Lexicon of CRM - Part 1: From A to I


C.R.M. itself is an acronym, standing for Customer Relationship Management. This is part one of three-part article to provide explanation and meaning for most of the common CRM phraseology. Here, in alphabetical order, is the Lexicon of CRM.

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Microsoft Throws in the Towel in the Instant Messaging Wars


REDMOND, Wash. (Bloomberg) - Microsoft Corp., the world's largest software maker, has stopped linking its instant messaging system with America Online Inc.'s instant electronic-mail program, the companies said.

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CRM for Manufacturing vs. Regular CRM


A couple of weeks ago, I published a blog post called Customer Relationship Manufacturing. In this blog post, I described the symbiosis between the sales and production departments within a manufacturing company, mentioned some customer relationship management (CRM) vendors that seem to have adapted their products for the manufacturing industry, and I also promised I would get back to you with

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The Benefits of Selecting a CRM Implementation Partner


As you begin a customer relationship management (CRM) initiative, software selection is only one facet of a successful project. You may consider implementing your new CRM system with internal resources. But even in providing a simple CRM solution in your company, a number of steps need to take place, including requirements gathering, configuration, and more. Discover the benefits of selecting a CRM implementation partner.

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2011 HR Technology Conference & Expo (Day 2): What Happens in Vegas Shouldn’t Have to Stay in Vegas


Day two of the 2011 HR Technology Conference @ Expo was an 8-hour marathon of talking with software vendors and attending various conference learning sessions. Here’s a brief look: Naomi Bloom (Managing Partner at Bloom and Wallace) and Jason Averbook (Co-Founder @ CEO of Knowledge Infusion) kicked off the day with The Great Technology Debate on the topic of HR technology—what we’re seeing and

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses


Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more.

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Customer Relationship Management Showdown: Microsoft Dynamics CRM vs. Oncontact CRM vs. SageCRM


For this Showdown, we looked at all three of the main CRM modules: sales force automation, marketing automation, and customer service and support. To eliminate any chance of bias and to ensure a level playing field, all the criteria that make up these three modules in our CRM Evaluation Center were given equal weight and priority. In other words, no area of functionality was treated as being more important than any other.

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