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E-Book: How to Get Funding for Data Quality Programs by Pitney Bowes Business Insight

August 05, 2010 - (Free Research)
Sound data quality is a fundamental requirement of successful data management programs. However, the importance of data quality may be overlooked by executives who take it for granted. This e-book provides readers with advice designed to help them win approval for data quality initiatives on both IT and business grounds. 
(EBOOK) READ ABSTRACT |

Data Security and Governance best practices for 2012 by Advent Global Solutions Inc.

December 30, 2011 - (Free Research)
This extensive e-guide focuses on how to remain up to speed with data security and governance programs for your growing enterprise. 
(EGUIDE) READ ABSTRACT |

Ten Tips for Effective Lead Management by Marketo

March 2008 - (Free Research)
Learn 10 tips for effective lead management that will enable you to create more educated buyers, help you better understand their needs and ultimately increase revenue. 
(WHITE PAPER) READ ABSTRACT |

Big Data Analytics - Your Project Reality: The Good, the Bad, and the Ugly by IBM

April 2013 - (Free Research)
Big data analytics seems to be all the rage in the IT and business worlds, with plenty of products out there to help you with your big data projects.  However, it's not as simple as just buying a piece of technology.  Read this expert e-guide to learn best and worst practices for big data analytics projects, and questions to ask before beginning. 
(EGUIDE) READ ABSTRACT |

Presentation Transcript: Big Data Analytics- Profiling the Use of Analytic Platforms in User Organizations.pdf by BeyeNETWORK

December 2011 - (Free Research)
In this presentation transcript, business intelligence (BI) expert Wayne Eckerson deep dives into the world of big-data analytics. He touches on the movement itself, what is behind it and offers up best practices for performing it. Eckerson also discusses big-data analytics engines and describes the framework for implementing big-data analytics. 
(PRESENTATION TRANSCRIPT) READ ABSTRACT |

The Future of Data Management by IBM

January 2014 - (Free Research)
This brief white paper welcomes you to the future of data management – pre-integrated server, storage, network and database software and tools selected and tuned specifically for the demands of high-availability, high-throughput transactional processing. 
(WHITE PAPER) READ ABSTRACT |

Information-led Transformation Planning, Modeling and Building New Intelligence Applications by IBM

March 2011 - (Free Research)
This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models 
(WHITE PAPER) READ ABSTRACT |

E-Guide: IT Decision Checklist: SIMs and Log Management by Tripwire, Inc.

April 2010 - (Free Research)
Security information management systems are effective platforms for the collection, analysis and storage of events from a broad range of systems and devices. We’ll outline what you should look for to get the most relevant data from SIMs. Read this paper to find out more. 
(EGUIDE) READ ABSTRACT |

Top 10 Root Causes of Data Quality Problems by Talend

August 2011 - (Free Research)
This white paper discusses the top ten root causes of data quality problems and suggests steps the business can implement to prevent them. 
(WHITE PAPER) READ ABSTRACT |

How dirty is your data fuel? by SearchBusinessAnalytics

June 2013 - (Free Research)
Ensuring that business intelligence data is accurate and consistent is crucial to the success of business intelligence (BI) projects. However, managing BI data quality is becoming more challenging as data varieties and sources increase. View this white paper to find out how you can get a handle on BI data quality. 
(WHITE PAPER) READ ABSTRACT |

Implementing Real-Time Data Quality Management by Information Builders

August 2012 - (Free Research)
Poor data quality can be harmful to your enterprise in more ways than one -- 53% of companies with poor data quality face serious problems when implementing new systems and applications and 29% experience income loss. Access this paper to discover how real-time data quality management can help mitigate these risks and give you peace of mind. 
(WHITE PAPER) READ ABSTRACT |

Optimizing Data Quality in the Enterprise by Information Builders

August 2012 - (Free Research)
It is estimated that 75% of large organisations currently face serious business challenges due to low quality data – and the consequences can be devastating. Access this paper to learn simple strategies that can substantially improve your company's data quality. Learn how to manage the lifecycle of quality data, and more. 
(WHITE PAPER) READ ABSTRACT |

Data accuracy and the bottom line: Making the case for proactive data quality by Melissa Data Corp

January 2013 - (Free Research)
This exclusive guide outlines key data quality challenges, the business ramifications of poor data quality, and steps to implementing a forward-thinking data quality approach. 
(EGUIDE) READ ABSTRACT |

Kick-Starting Your Data Quality Program by SearchDataManagement

July 2013 - (Free Research)
This handbook offers tips and strategies for balancing manual and automated data quality processes, building a business case for purchasing data quality tools and creating an effective data quality program. 
(WHITE PAPER) READ ABSTRACT |

Tactical Data Quality: How to improve data quality with a tight budget by Talend

March 2011 - (Free Research)
In this e-book, you'll learn how to manage data quality efforts during an economic downturn and find out what trends are emerging in the data quality market. You’ll also learn about common mistakes, the financial costs of poor data quality and how data quality tools and strategies can improve data quality. 
(EBOOK)

The Unique Requirements of Product Data Quality by Silver Creek Systems

July 2008 - (Free Research)
TDWI explores traditional approaches to data quality, which focus on well structured data, and shows why these do not work with less structured product data. Read about Product Data's unique requirements and how to address them. 
(WHITE PAPER) READ ABSTRACT |

Populating a Data Quality Scorecard with Relevant Metrics by SAS

May 2014 - (Free Research)
The following white paper explores ways to quality data control and measures to support your overall data quality and governance program. Learn what it takes to provide a framework for defining measurement processes and more. 
(WHITE PAPER) READ ABSTRACT |

Observing Data Quality Service Level Agreements: Inspection, Monitoring and Tracking by SAS

May 2014 - (Free Research)
The following white paper discusses how by implementing a data quality service level agreement (DQ SLA) you can improve data quality proactivity, be able to continuously monitor and control the quality of organization data, and more. 
(WHITE PAPER) READ ABSTRACT |

E-Guide: Gartner Magic Quadrant: Oracle and SAP prepare for data quality battle by SAP America, Inc.

December 2011 - (Free Research)
In this brief yet insightful e-guide, you will get a side-by-side comparison of SAP and Oracle's data quality portfolios along with expert advice. 
(EGUIDE) READ ABSTRACT |

SAP® BusinessObjects™ Data Services: One Product For Data Quality and Data Integration by SAP America, Inc.

June 2009 - (Free Research)
Introducing SAP® BusinessObjects™ Data Services breakthrough technology software for the enterprise information management market. The software unifies our leading data-quality and integration solutions - helping your organization to move, transform, and improve virtually any type of data anywhere, at any frequency. 
(WHITE PAPER) READ ABSTRACT |

Making Data Work: Addressing Data Quality at the Enterprise Level by Informatica

January 2008 - (Free Research)
Achieving and maintaining high-quality data are critical to efficient IT and business operations, as well as to the success of strategic business initiatives and to your company's long-term competitive advantage. 
(WHITE PAPER) READ ABSTRACT |

Pervasive Data Profiler v4 by Pervasive Integration

January 2008 - (Free Research)
Pervasive Data Profiler™ ensures data quality. Proactively audit all types of data; automate testing against changing business data quality needs and compliance regulations. Get hyper-fast, multithreaded processing of large data sets or sample data 
(WHITE PAPER) READ ABSTRACT |

Building a Data Quality Scorecard for Operational Data Governance by DataFlux Corporation

June 2008 - (Free Research)
Operational data governance is the process of evaluating data to see if data effectively satisfies the organization's business needs. This is measured with a "data quality scorecard", a management tool for monitoring organizational performance. 
(WHITE PAPER) READ ABSTRACT |

Data Quality by the Numbers: Best Practices for Managing Business Data by DataFlux Corporation

March 2008 - (Free Research)
Find out how data quality technologies can be customized to support a broad variety of business data and provide the same capabilities -- data profiling, data quality, data integration, data enrichment and data monitoring -- that govern customer data. 
(WHITE PAPER) READ ABSTRACT |

Building Data Quality Efforts Into Everyday Processes by DataFlux Corporation

July 2012 - (Free Research)
Poor data quality at the most minor level can have major ramifications. Read this expert e-book to gain advice on how to make data quality a high priority in your day-to-day business operations. Discover tips on implementing internal data quality standards and how to train users on data quality best practices. 
(EBOOK) READ ABSTRACT |

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