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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.
: The Truth about Data Mining The Truth about Data Mining Anna Mallikarjunan - June 19, 2009 Read Comments 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
Top Software for Mining Companies
For your own customized comparison reports, select a category below: ERP & CMMS for Mining. EAM for Mining. Accounting Software Systems.
: Top Software for Mining Companies Top Software for Mining Companies Comparing software solutions for mining companies can be difficult and time-consuming—but at TEC we make it quick and easy In just seconds, you can get free side-by-side software comparison reports. Choose from all the leading vendors—including Mincom, IFS, Microsoft, SAP, Lawson, Pronto Software, Infor, Mapcon Technologies, Bell Business Solutions, TARGIT, IBM, QlikTech International, Oracle—and many more. For your own customized
11/18/2010 9:00:00 AM
Ask the Experts: Approaches to Data Mining ERP » The TEC Blog
Experts: Approaches to Data Mining ERP » The TEC Blog TEC Blog TEC Home About TEC Contact Us About the Bloggers Follow TEC on Twitter RSS Discussing Enterprise Software and Selection --> Fast, Accurate Software Evaluations TEC helps enterprises evaluate and select software solutions that meet their exacting needs by empowering purchasers with the tools, research, and expertise to make an ideal decision. Your software selection starts here. Learn more about
: Business Intelligence, business performance management, data mining, enterprise resource planning, ERP, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
Mining Diamonds, Finding Gold
A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now.
: Mining Diamonds, Finding Gold Mining Diamonds, Finding Gold Source: SAS Document Type: Case Study Description: A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now. Mining Diamonds,
5/19/2011 10:46:00 AM
Predictive Product Keeps Debtors’ Prison Empty
SLP InfoWare adds a module that identifies credit risks.
: specialists in adding data mining and predictive modeling. Although some of these products may reflect genuinely new research, by and large the complex algorithms are well understood and available to anyone, although there s as much art as science in adapting and tuning the theory to a particular application. SLP InfoWare has established a presence in this area and should be able to cross-sell this new application into its existing customer base, as well as selling it to new markets. The company has its
Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full 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. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.
: intelligence tools, data mining warehousing, business intelligence bi, business intelligence solutions, data mining and warehousing, cognos business intelligence, data warehousing data mining, business intelligence data warehousing, business intelligence services, business intelligence solution, business intelligence tool, data warehousing jobs Source: SAP Learn more about SAP Readers who downloaded this white paper also read these popular documents! Extending BI’s
1/25/2010 1:13:00 PM
NCR s Teradata Database Meets Windows 2000. A Match Made in Redmond?
NCR Corporation announced it will support Microsoft Windows 2000 across its entire offering of products. In addition, NCR will present a full suite of consulting and support services to help businesses migrate to the Windows 2000 environment. The question is whether the power of Windows can keep up with Teradata.
: teradata database, olap software, data warehouse software, teradata jobs, ncr 7875, ncr jobs, data warehouse appliance, database design software, data warehousing software, data mining articles, data warehouse manager, data warehouse tools, data extraction, ncr pos, ncr 7167, windows mobile database, what is teradata, data warehousing jobs, data warehousing books, teradata crm, data warehousing basics, data integrator, data warehouse appliances, data warehouse reporting, business intelligence tools, data warehouse architect, data warehouse and data mining, teradata, operational data store, .
Predictive Analytics; the Future of Business Intelligence
Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.
: the branch of data mining concerned with the prediction of future probabilities and trends. Predictive analytics is used to automatically analyze large amounts of data with different variables; it includes clustering, decision trees, market basket analysis, regression modeling, neural nets, genetic algorithms, text mining, hypothesis testing, decision analytics, and more. The core element of predictive analytics is the predictor, a variable that can be measured for an individual or entity to predict
SAS: Striving to Sustain Leadership
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in some vertical markets, and becoming more attentive to the low-end market.
: load (ETL), and data mining software gather, manage, and analyze enormous amounts of corporate information to find patterns in customer data, manage resources, or target new business. SAS solutions are used at more than 40,000 sites—including 96 of the top 100 companies on the Fortune Global 500, and is used in almost every major US government agency . It has enabled companies to develop more profitable relationships with customers and suppliers and to execute better, more accurate, and informed decisio
Massive Data Requires Massive Measures
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?
: to perform complex data mining for fraud detection. Another factor that enhances this complexity is that the culture of most businesses is changing: the traditional data analytical process has reached beyond the common business analysis areas to get to the executive and advisory boards, as well as operative areas of the organization—potentially everyone in the organization can add and promote data analysis accordingly. Nowadays, many users are exploring and analyzing information without even knowing it.
11/5/2010 10:03:00 AM
SAS Puts the “E” in “Data”
SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.
: all of the data mining needs in a large enterprise. The WebHound product is a high-end clickstream analysis product. It analyzes the paths taken by customers viewing a website and can both produce standard traffic reports and answer ad hoc questions about the behavior of individuals or groups. E-Discovery is a data-mining product that can integrate information about Web behavior with other information from across the enterprise. This product uses a number of data mining techniques such as collaborative
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