The conclusion of this two-part series looks at the tools and techniques used in data mining and the issues surrounding implementations.
Today's infrastructure needs to be resilient; not just to failures in the computer hardware, but also to the catastrophic failures of computer sites. Fortunately, with the falling equipment and communication costs, the solutions that were cost prohibitive yesterday, are feasible today.
UMB Financial Corp.'s computing and communications systems operate around the clock. The installation of a multi-level command console in UMB's new Technology Center is allowing the IT Command Center staff to handle growth without an increase in personnel.
Today's companies are judged not only on the quality of their products and services, but on how well they share information with customers, employees and business partners. Most organizations have myriad systems which makes maintaining complete, up-to-date information across many departments difficult. The more integrated an enterprise becomes, the easier it is for everyone to get the information they need - so they are empowered to make their best decisions.
The "Father of the Data Warehouse" discusses what's in store for the industry.
The enabling technologies of business intelligence and data warehousing are playing a vital role in facilitating strategic corporate and organizational initiatives, such as customer relationship management and e-commerce worldwide.
What is the best approach to modeling data in a DSS environment? Recently, a group of industry experts met to compare the pros and cons of the two data warehouse design approaches. Their results were astounding.
As the Web grows by leaps and bounds, critical business information is, in many cases, not easily accessible. The enterprise portal offers a Web-like solution to obtaining, maintaining and distributing information.
How to avoid those expenses that seem to sneak up on you before, during and after completion of your data warehousing project are examined.
Mellon Bank looks to enhance its complex customer service relationships through IBM’s Intelligent Miner for Data.
While many large companies began installing enterprise resource planning systems several years ago, the push for Y2K systems remediation, combined with the cost-effectiveness of shared information over the Internet has prompted smaller companies to begin building their own. This growing interest has vendors rushing to find their niche.
Suprise! You thought that your little warehousing project was going to move along without a hitch. Well, guess again.
IDC predicts a 23 percent annual growth in the data warehousing tools market. This article presents strategies in data mining, developed by IBM and SAS Institute, as well as up-and-comers NeoVista Software and HNC Software.
No matter what form of data conversion project your organization is involved in, the methods can be time-consuming and a little risky. But one thing is for certain: The critical first step in data migration is data profiling.
As an organization’s data warehouse grows and changes, managing the volumes of data stored in the warehouse becomes increasingly complex, paving the way for metadata and metadata management
Web-enabling a data warehouse has a seductive lure. In this article, David Cook explores the strategic challenges that face businesses and navigates through integration, analysis, structuring and reporting to reach the next level of data retrieval.
Companies in industries that were handcuffed with only syndicated data have discoverd reservoirs of data within their own organizations, but are struggling with how to extract and use it. Business Intelligence systems that recognize and prioritize critical data can give companies the competitive edge they crave in their race against time.
After processing has been completed, it has been estimated that 30-40 percent of help desk problems concern output management. The issues, challenges and - most importantly - the solutions are addressed in thi article.
The Web is driving OLTP to ever-higher demands for performance and scalability, so when the time comes to re-evaluate enterprise architecture, exploring a new database alternative can be truly rewarding.
While some IT professionals still view data mining as low priority within their day-to-day network operations; more and more, the software tools used in business technology management are borrowing from data mining methods to become more intelligent.