Get your company's research in the hands of targeted business professionals.
Data Quality refers to the quality of data. Data are of high quality "if they are fit for their intended uses in operations, decision making and planning" (J.M. Juran). Alternatively, the data are deemed of high quality if they correctly represent the real-world construct to which they refer. These two views can often be in disagreement, even about the same set of data used for the same purpose.
his executive level brochure provides the strategy behind Information on Demand (IOD), the 5 entry points to IOD and includes a summary of the 2008, information market analyst Ovum's independent evaluation of IBM's Information On Demand initiative which declared IBM to be at the "vanguard of the unified information management revolution."
In today's highly-competitive markets, more and more procurement and sourcing professionals are looking to streamline processes and drive superior performance. In the quest for higher savings, more spend under management and increased compliance, sourcing executives must turn to their own repository of spend data to effectively identify opportunities for savings and gain a deeper understanding of their corporate spend.
Published By: Tripwire
Published Date: Jun 30, 2009
Find out how a robust configuration audit and control system can enable electronic submissions and signatures, and validate electronic data, in compliance with the FDA's mandatory submission of clinical trials records.
Read this white paper by Don Tapscott and explore the criteria best-in-class retailers use for selecting business intelligence solutions. Companies that effectively harness the vast quantities of information that IT systems generate - both within the corporation and outside its walls - are poised to gain competitive advantage.
Published By: SRC,LLC
Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
It’s a fact: nearly 48 percent of first-time Disaster Recovery (DR) plan implementations fail due to inaccurate estimates of necessary resources. Due in large part to faulty methods of estimating resource requirements, such as analyzing logs generated by tape backup software, organizations come to conclusions that are drastically wrong.
During challenging economic times, companies are increasingly questioning every budget dollar they spend. Furthermore, companies are reviewing their core vendor relationships to assess which partnerships have lived up to their expectations vs. which have overpromised and under delivered.
The concept of Continuous Data Technologies (CDT) emerged on the scene two years ago, and is now transforming the data storage industry. Nearly every major storage vendor has one or more CDT products in their offering roadmap, in addition to a vital community of emerging vendors who are the true innovators in this space.
Replication has become a catchall phrase that while gaining in allure is also gaining in confusion – especially in the mid-tier where data is just as important as the high-end, but IT staffing and budgets are far more limited. IT people as well as vendors have a tendency to lump all data movement functions together as replication, regardless of the method or the reason.
Sign up for the webcast and you will learn: The strategic benefits of a robust information infrastructure for performance management, How to take immediate action if your operating reporting has data latency challenges, How to drive broader adoption in the business by addressing critical data challenges, Why the combination of IBM and Cognos, an IBM company, accelerates the delivery and quality of the information needed to drive business performance.
Published By: Vertica
Published Date: Dec 01, 2008
Cloud computing is ushering in a new era of analytic data management for business intelligence
(BI) by enabling organizations to analyze terabytes of data faster and more economically than
ever before. The key change: cloud database software is provisioned within minutes, without data
center overhead, and it's licensed on an on-demand basis.
Learn what a Web Service is and how it works, the advantages of using a Data Quality Web Service, the technology assessment for implementation, and several case studies (Saab and other real world case studies) to demonstrate real life successes.
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
We live and work in a fast-moving and dynamic world, caught between a host of conflicting demands on our time and attention. Against this backdrop we’re called on to boil an ocean of information in order to support the decisions that we have to make on an hour-by-hour basis.
Published By: Solidcore
Published Date: Jan 15, 2008
New report issued by Fortrex, Emagined Security and Solidcore reveals the cost of PCI compliance is justified. These PCI requirements exist to protect sensitive data - yet, research indicates that these are among the least satisfied requirements across Level 1 merchants, with almost 40% non-compliance.