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WebFOCUS Operational Enterprise Business Intelligence by Information Builders Inc..
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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 |

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 |

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 |

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 |

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 |

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 |

Total Data Quality Integration Toolkit (TDQ-IT) for Master Data Management … powered by the Microsoft SQL Server SSIS 2005/2008 by Melissa Data Corp

April 2010 - (Free Research)
The Total Data Quality Integration Toolkit is an affordable, full-featured enterprise data integration platform and rich development environment for creating and managing data assets that can be leveraged specifically for MDM applications. TDQ-IT leverages SSIS to provide a flexible, effective solution for data quality and MDM initiatives. 
(WHITE PAPER) READ ABSTRACT |

Scalable Data Quality: A Seven Step Plan for Any Size Organization by Melissa Data Corp

June 2007 - (Free Research)
No matter the size of your business, data quality is an absolute requirement for success. Learn the seven steps you need to develop a plan for data quality - one that scales to your growing business needs. 
(WHITE PAPER) 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 |

SearchDataManagement.com Expert Buyer's Guide: Choosing data quality tools and software by IBM

September 2011 - (Free Research)
In this buyer's guide, learn how to weed through the various data quality tool vendors and get tips on selecting the right data quality management software that's right for your business. 
(EGUIDE) READ ABSTRACT |

Expert E-Book: Data Quality Throughout Your Oracle Evironment by Oracle Corporation

April 2013 - (Free Research)
This expert e-book outlines best practices for ensuring data quality throughout your Oracle environment.  Inside, compare options for handling both customer and product data, and learn the steps you need to take on you data quality initiative. 
(EBOOK) READ ABSTRACT |

Oracle Data Quality for Data Integrator and Oracle Data Profiling 11g by Oracle Corporation

August 2010 - (Free Research)
To ensure that information is accurate and consistent across complex systems, Oracle Data Quality for Data Integrator 11g and Oracle Data Profiling 11g provide a solution to integrate trusted data. Read this data sheet to learn more. 
(DATA SHEET) READ ABSTRACT |

Data Quality - The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software

April 2008 - (Free Research)
Operational and analytical business processes rely on a solid, high-quality data foundation, but companies often neglect data quality until a major problem occurs that could've been avoided. Learn about the benefits and importance of da... 
(WHITE PAPER) READ ABSTRACT |

Five Fundamental Data Quality Practices by Pitney Bowes Group 1 Software

September 2011 - (Free Research)
This white paper is a list of five data quality practices and how they can be implemented into an organization's daily data quality processes. 
(WHITE PAPER) READ ABSTRACT |

Data Quality: The Foundation of Operational Effectiveness by Pitney Bowes Group 1 Software

September 2011 - (Free Research)
This white paper discusses the importance of data quality operations and how to successfully implement a data quality strategy into your organization. 
(WHITE PAPER) READ ABSTRACT |

Busting 7 Myths about Data Quality Management by Information Builders

November 2011 - (Free Research)
In recent years, more organizations have fixated on improving the quality of their data – but one of the major obstacles holding them back are the myths about what makes up an effective strategy. Review this paper to learn the top 7 myths and tips on how to craft an effective data quality management strategy. 
(WHITE PAPER) READ ABSTRACT |

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