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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

sas data mining  Data Mining Vendors SAS is a leader in the data mining market and has an impressive track record of successful implementations. Its Enterprise Miner offers a wide range of predictive analytics and visualization capabilities. The product encapsulates SAS' data mining process that it calls SEMMA: sampling (extracting a representative sample that can be manipulated easily, and partitioning data for training and testing); exploration (searching for unexpected trends or patterns through visual exploration Read More...
Mining Industry (ERP & CMMS)
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Documents related to » sas data mining


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

sas data mining  levels of the enterprise. SAS 9 data integration includes data quality and a common metadata repository for ensuring reliability of information across computing systems. SAS Enterprise ETL Server cleanses and integrates data into a common, usable data store that offers an available, consistent, and verifiable set of answers across the enterprise. In other words, the power behind the SAS 9 platform is tight integration, data quality, common metadata, and centralized management. At the same time, SAS also Read More...
SAS/Warehouse 2.0 Goes Live
SAS Institute has announced the production availability of SAS/Warehouse Administrator software, Version 2.0. This new version provides IT the ability to

sas data mining  Sybase and many others. SAS Institute was voted No. 1 in data warehousing and business intelligence in DM Review's 1999 Data Warehouse 100. SAS/Warehouse Administrator is a key component of this award-winning solution. Installed at more than 600 sites worldwide, SAS/Warehouse Administrator is the leading tool to help IT professionals meet the demands of administering a warehouse. IT and business users will find significant enhancements when building and designing warehouses and extraction, Read More...
Massive Data Requires Massive Measures
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

sas data mining  warehouse segment. Teradata and SAS One thing that can work in the big data space for software companies is to create partnerships to bring added value to the table, in this case to information giants—one in the data warehouse space and the other in the BI space—by combining efforts to deliver solutions capable of running SAS analytic capabilities under the parallel processing capabilities form of the data warehouse infrastructure from Teradata . One of the most interesting challenges with Read More...
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

sas data mining  starting with source data. SAS and WebTrends take data from web logs, whereas products from Accrue and NetGenesis can capture data at a deeper network level. Some sites, more typically the technically savvy dot-coms will appreciate the advantages of this, such as showing when people cancel the loading of a page, something that cannot be determined from web logs. Some products have add-on features; NetGenesis, for example, has one that is optimized for sites that use shopping carts. We therefore strongly Read More...
Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered

sas data mining  what is mining,mines,drill,coal,sme,drilling,mineral mining,problem solving,decision making,what is decision making,making a decision,minerals and mining,minerals mining,gold mining,data mining Read More...
Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and

sas data mining  Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data. Read More...
Data Quality Basics
Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at

sas data mining  Quality Basics Bad data threatens the usefulness of the information you have about your customers. Poor data quality undermines customer communication and whittles away at profit margins. It can also create useless information in the form of inaccurate reports and market analyses. As companies come to rely more and more on their automated systems, data quality becomes an increasingly serious business issue. Read More...
Tailoring SAP Data Management for Companies of All Sizes
The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are

sas data mining  SAP Data Management for Companies of All Sizes The need for accurate data management such as upload or download of data between a company’s data sources and SAP systems is more critical than ever. Users are relying on manual operations, which are inherently error-prone, and time- and resource-intensive. Today's environment requires enterprise-class automation to overcome these challenges of data management. Learn about one solution that can help improve SAP data management. Read More...
Data Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution
There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting

sas data mining  Warehouse vs. Data Mart-Approaches to Implementing a Data Integration Solution There continues to be a wide variety of different approaches to building a solid data management solution for your organization, and just as many consulting firms across the globe willing to help you build them. However, it’s imperative for each data management solution to specialize to the unique needs of your organization’s business users, across varying functional areas. Read More...
Deploying High-density Zones in a Low-density Data Center
New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center

sas data mining  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source Read More...
10 Errors to Avoid When Building a Data Center
In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

sas data mining  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for commission Read More...
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

sas data mining  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 Read More...
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

sas data mining  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
Data Masking: Strengthening Data Privacy and Security
Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating

sas data mining  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. Read More...

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