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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.
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 future data mining future


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

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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 & CMMS) Software Evaluation Report

This Software Evaluation Report includes enterprise resource planning (ERP) and computerized maintenance management system (CMMS) modules geared toward the regular requirements of companies in the mining industry. While including important criteria for financials solutions and human resources, it has additional process workflow, quality management, field service, and other criteria. 

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Documents related to » future data mining future

Challenges of the Future: The Rebirth of Small Independent Retail in America


By any measure, retailers are overwhelming small businesses. More than 95 percent of all retailers have only one store. Almost 90 percent have sales less than $2.5 million (USD), and more than 98 percent have fewer than 100 employees. To compete, small businesses need to be innovative, and understand both personalization and value, and how to execute best practices to build success.

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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 maneuvered a company through a large takeover, will Oracle be capable of digesting PeopleSoft?

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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 back to basics, both terms refer to the concept of using technology to
  • Identify sales trends to develop sales 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 performance management should not be confused with business process management, also known as BPM.

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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 involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

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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 responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

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Agile Data Masking: Toward a More Secure and Agile Enterprise


Data masking has long been a key component of enterprise data security strategies. However, legacy masking tools could not deliver secure data, undermining their impact. This white paper explores how data as a service can deliver on the promise of masking, while increasing organizational flexibility and agility.

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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 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.

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Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

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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 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

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Data Visualization: When Data Speaks Business


For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

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