Data Quality 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.
By: IBM
Published Date: Aug 30, 2010
Proactive Data Management Controls Data Growth. To take control, organizations must begin with the conscious decision not to let data growth proceed unexamined.
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By: IBM
Published Date: Aug 30, 2010
Vendors in this market have been challenged in their attempts to gain market visibility and awareness for their products and for the benefits they can provide compared with just throwing more hardware at the problem.
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By: IBM
Published Date: Aug 30, 2010
Adopting an Integrated Data Management strategy can be a highly effective way to help IT support business growth, facilitate data governance and manage costs.
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By: IBM
Published Date: Aug 30, 2010
In this white paper we will discuss data breakage and access in more detail, and then briefly consider how IBM Optim works, particularly with respect to System z, though Optim's capabilities are also generally applicable to distributed systems.
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By: Attivio
Published Date: Aug 20, 2010
Experienced business users are demanding an integrated view of unstructured content -- or "soft" information - with the harder data already available to them in the warehouse.
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The purpose of deduplication is to provide more storage, particularly backup storage, for less money, right? Then wouldn't it be ridiculous if deduplication vendors were demanding that their customers pay more per terabyte of storage? Or if they were simply pushing the task of integrating, monitoring, and managing deduplication back onto their users?
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Clouds are all the rage right now. And the truth is that cloud-based computing can be a tremendous value. Cloud-based computing is not just an opportunity for a bunch of venture capitalists hanging out at Sand Hill Road, it's a wonderful chance for small and medium businesses to take a step toward aligning their information technology spend to increase their focus on revenue-generating opportunities.
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Download this whitepaper to learn the advantages of clustering. Discover why this innovative architecture returns such consistent value to the enterprises that adopt it. Understand the direct cause and effect relationship between database clustering and IT efficiencies, which can add up to big savings for your organization.
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By: Zycus
Published Date: Sep 30, 2009
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.
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This white paper demonstrates that a data grid infrastructure, built with clustered cahing, can help you avoid "weak link" vulnerabilities that can sabotage SOA strategies. Discover why the data grid offers improved data access that can create a competition
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By: Vertica
Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself:
- Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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Siemon, a global leader in network cabling solutions and data center physical layer infrastructure, offers this new 66-page E-Book focused on guiding data center professionals and service providers through key infrastructure challenges.
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By: Sophos
Published Date: Apr 13, 2010
The workplace is becoming increasingly mobile with users accessing corporate data
from anywhere at any time. While this trend offers organizations significant productivity
benefits, it also increases the risk of data loss that could cause irreparable harm. This
paper guides IT professionals through the steps necessary to implement a practical data
loss prevention (DLP) strategy. It starts off by quickly looking at what's driving data loss prevention, the consequences of data loss and how it can be comprehensively tackled
using Sophos solutions. It then provides practical implementation advice and examples.
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This paper reviews the steps some organizations are taking to draft, implement, and enforce risk mitigation policies for removable media, and how technologies available today, and appearing on the horizon, are helping.
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By: Sophos
Published Date: Apr 06, 2010
This white paper examines the challenges organizations face and the steps they can take to protect themselves and their customers against data breaches and ensure the safety of this sensitive information.
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By: SAP
Published Date: Mar 29, 2010
They're in your company. They're in your data. Hidden insights that can support your critical business decisions.
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By: Vertica
Published Date: Mar 15, 2010
Revenue assurance analysts at a top-tier US-based carrier studied this every day. Primarily
focused on detecting fraud, revenue sharing contract violations and incomplete revenue collections,
they had the need to query and analyze call detail record (CDR) databases that grow by millions of
new CDRs every day.
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By: NetApp
Published Date: Feb 22, 2010
This paper outlines the considerations for architecting an efficient SAN data storage infrastructure with a focus on the NetApp solutions for increased utilization, improved performance and streamlined protection to reduce operational costs.
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By: Vertica
Published Date: Feb 20, 2010
For over a decade, IT organizations have been plagued by high data warehousing costs, with millions of dollars spent annually on specialized, high-end hardware and DBA personnel overhead for performance tuning. The root cause: using data warehouse database management (DBMS) software, like Oracle and SQLServer that were designed 20-30 years ago to handle write-intensive OLTP workloads, not query-intensive analytic workloads.
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By: Vertica
Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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By: IBM
Published Date: Nov 17, 2009
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."
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By: IBM
Published Date: Aug 31, 2009
HP Pelzer find perfect harmony with DB2, Intel and SAP
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By: IBM
Published Date: Aug 25, 2009
Reduce the long, after hours finger pointing through proactive performance monitoring all while facilitating collaboration and driving organizational efficiencies.
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By: IBM
Published Date: Aug 25, 2009
Facing tough IT decisions? Get insight from midsize businesses like yours.
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By: SAP Inc.
Published Date: Jul 28, 2009
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company as a whole.
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