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 implementation techniques of data mining


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

implementation techniques of data mining  A business intelligence (BI) implementation can be considered two-tiered. The first tier comprises standard reporting, ad hoc reporting, multidimensional analysis, dashboards, scorecards, and alerts. The second tier is more commonly found in organizations that have successfully built a mature first tier. Advanced data analysis through predictive modeling and forecasting defines this tier—in other words, data mining. Data mining has a significantly broad reach and application. It can be applied in any si

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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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Running and Optimizing the Business of IT: The SAP Best-practices Approach


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Financial Reporting, Planning, and Budgeting As Necessary Pieces of EPM Part Two: Challenges and User Recommendations


Although CPM (aka EPM) starts with strong financial management, it will eventually extend beyond financial planning to almost all areas of corporate activity. Therefore, organizations choosing BI suites should consider both their financial management tools and future integration with key business-area solutions (for example, PLM, CRM, and SCM).

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Best Practices for a Data Warehouse on Oracle Database 11g


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Data Quality: Cost or Profit?


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Wipro Point of View: Changing Nature of the Wealth Management Industry


The slump in the wealth management industry has its roots in the financial crisis in America and Europe. This has led to high-net-worth individuals (HNI) getting increasingly attracted to low risk, low management investments. Dr. Ashok Hegde, Global Head of Financial Services, Business Analyst Practice, Wipro, shares his expertise on the current challenges faced by and opportunities available to wealth managers. Read more.

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data warehouses, including a wide range of data sources, from enterprise resource planning (ERP) systems such as SAP R/3 and PeopleSoft, to web logs and Siebel applications. Market validation of its offerings is shown in a record Q4 of 2000, with a 150% increase in revenue over the previous year.

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Forecasting Total Cost of Ownership for Initial Deployments of Server Blades


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