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Software Functionality Revealed in Detail
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 data mining what is


Why CRM Is So Hard and What To Do About It: Data is key to making CRM work
Making a CRM investment work is a two-step process that begins with unifying disparate systems by creating and managing standardized, reusable business

data mining what is  analytic applications such as data mining and targeted marketing campaigns, for example - work very well inside their boxes. But nothing has coordinated the customer touch points, or bridged the gaps between the siloed systems that support them. These problems are more painfully apparent now that the two-year vacation from capitalism is over. Companies need to maximize the huge investments they've made and concentrate on getting things to work the way they wished they would have in the first place.

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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

Mining Industry ERP and CMMS RFI/RFP Template

Financials, Human Resources, Manufacturing Management, Process Manufacturing, Inventory Management, Purchasing Management, Quality Management, Sales Management, Project Management, Product Technology, and more 

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The Truth about Data Mining


It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

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Got BI? Now You Need to Hire a Data Geek. Here’s What to Look For.


According to a poll conducted by KDnuggets, salaries in the analytics and data mining space are up in 2011. While there is no direct proof that the data explosion is increasing the need for business intelligence (BI) or business analytics (BA) specialists, it’s only natural that the increase in BI software adoption and demand for analytics should promote the growth of BI job offerings.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Ask the Experts: Approaches to Data Mining ERP


From one of our readers comes this question: I am a student of IT Management; I have an ERP course and I am supposed to write an article to review new aspects of ERP systems. I’ve decided to explore the reasons for using data mining techniques in ERP systems—and to look at different modules to which these techniques have been applied. I am going to prepare a framework to determine

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Corning Data Services Inc


Corning Data is celebrating its 35th anniversary with a whole new look. Check it out! You'll get the same professionalism, but with expanded service offerings. These include JD Edwards hosting services, Oracle/IBM Cloud, and Fusion applications. We are offering more comprehensive solutions as we raise our game. Corning Data may have a new look but maintains all of the JD Edwards, DSI, and IBM services, software, and hardware needed to evaluate, implement, and support your JD Edwards system either on premise or in the cloud.   Corning Data is a specialized Oracle Platinum partner and reseller, an IBM Partner, a DSI Implementation and Select Services Partner, and an original JD Edwards partner. In a world where software and hardware are ever changing, Corning Data Services helps our customers realize the full potential of their technology investments. Since 1980, CDS has remained constant in delivering excellence because we partner with the industry’s very best. And after thirty years of delivering the right solutions, our Experience Matters.

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Data Center Best Practices: Optimizing Service Infrastructure through OS Portability


Today’s data centers are an increasingly complex mixture of server platforms, hardware, operating systems, data, and applications that have accumulated over time. So how do you take your data center from a tangled mess of suboptimal servers which may be hampering your service levels, to one that can maximize performance? With the use of virtualization technology, data center optimization can become a reality.

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Re-think Data Integration: Delivering Agile BI Systems with Data Virtualization


Read this white paper to learn about a lean form of on-demand data integration technology called data virtualization. Deploying data virtualization results in business intelligence (BI) systems with simpler and more agile architectures that can confront the new challenges much more easily.

All the key concepts of data virtualization are described, including logical tables, importing data sources, data security, caching, and query optimization. Examples are given of application areas of data virtualization for BI, such as virtual data marts, big data analytics, extended data warehouse, and offloading cold data.

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Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

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What Is EDI?


Electronic data interchange (EDI) is a general term used to explain computer-to-computer exchange of routine business documents, using an approved, standard format, without human intervention. Understanding your primary goal is vital when beginning to implement an EDI system. Find out how your business can run more efficiently and effectively with an EDI solution.

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Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

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