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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

future data mining future  In order to estimate future values of entities, forecasting techniques need to be applied to data. For instance, by forecasting the demand for its products in the future, a retailer can plan production. Why Not OLAP or Statistics? Data mining includes advanced techniques for understanding data that far exceed the capabilities of online analytical processing (OLAP). OLAP tools provide the means to perform multidimensional analysis by using powerful algorithms for aggregating data. While OLAP can help look Read More
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Documents related to » future data mining future


Business Intelligence and Data Management
The terms business intelligence (BI) and business performance management (BPM) are heard time and again, but what do they really mean for businesses? Getting

future data mining future  strategies and to manage future sale Manage employee performance Identify quality issues on the shop floor Optimize business processes through the use of technology Forecast, budget, and plan within a process-centric environment Allow C-level executives the ability to monitor the organization's performance regularly and centrally throughout the day The common theme within these technologies is that organizations use them to optimize their performance and stay competitive within the market. Business Read More
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

future data mining future  and Data Mining The future of data mining lies in predictive analytics. However, the terms data mining and data extraction are often confused with each other in the market. Data mining is more than data extraction It is the extraction of hidden predictive information from large databases or data warehouses. Data mining, also known as knowledge-discovery in databases, is the practice of automatically searching large stores of data for patterns. To do this, data mining uses computational techniques from Read More
Oracle's Product Future: What Can the Past Tell?
Oracle does not have a history of major acquisitions, let alone experience with the subsequent integration efforts. Run by a management team that has never

future data mining future  might become wary of future Oracle products, as the company becomes distracted by assimilating PeopleSoft. This scenario will be further complicated by Oracle's acquisition and absorption of Retek, despite Retek's technological compatibility and a long partnership with Oracle. This concludes Part Six of an eight-part note. Part One detailed the event. Part Two presented the competitive response of SAP and Microsoft. Part Three detailed how competition involves infrastructure. Part Four was a reality 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

future data mining future  have to cover in future articles related to the big data world. For large companies, the analysis of big data is and will remain an essential part of their organic composition.  As Sun Tsu might say, in the war for the data warehouse space, spending big money is justified simply because there is enormous business potential in this area, and the players will keep expending “glue and paint” and “chariots and armors” to deliver what the industry badly needs for the analysis and management of Read More
New Data Protection Strategies
One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased

future data mining future  Data Protection Strategies One of the greatest challenges facing organizations is the protection of corporate data. The issues complicating data protection are compounded by increased demand for data capacity and higher service levels. Often these demands are coupled with regulatory requirements and a shifting business environment. Learn about data protection strategies that can help organizations meet these demands while maintaining flat budgets. Read More
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

future data mining future  Center Projects: Project Management Data Center Projects: Project Management If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in Read More
Data Center Automation
With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and

future data mining future  Center Automation With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. 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

future data mining future  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 Storage in the Cloud--Can You Afford Not To?
In Data Storage in the Cloud Can You Afford Not To?

future data mining future  Storage in the Cloud--Can You Afford Not To? Spiraling data storage requirements are straining many companies' abilities to keep pace. One obvious solution is storage in the cloud—but concerns regarding security, speed, and accessibility remain. Or do they? In Data Storage in the Cloud—Can You Afford Not To? , you'll discover a cloud storage solution that offers you high-security dual-level encryption (SSLv3 and 256-bit AES) data accessibility from anywhere lower costs due to the economies of Read More
Enterprise Applications--The Genesis and Future, Revisited Part Three: 2000s--Back to the Future
A typical ERP system indeed now offers broad functional coverage nearing the best-of-breed capabilities; vertical industry extensions; a strong technical

future data mining future  current use and its future developments. The following is the genesis of enterprise applications by era. ERP systems should help companies become leaner by integrating the basic transaction programs for all departments, allowing quick access to timely information. However, ERP inherited MRPII's basic drawbacks, which are the assumption of infinite capacity and the inflexibility of scheduling dates, preventing companies from taking full advantage of speedy information flow. This brings us to the still Read More
Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge

future data mining future  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More
The Role of Cloud in Your Storage and Data Protection Strategy
Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

future data mining future  Role of Cloud in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you'll learn Read More
Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data

future data mining future  a Universal Approach to Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Read More
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

future data mining future  Management and Business Performance: Part 1-Data Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable Read More

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