Home
 > Research and Reports > White Papers > The Importance of a Single Product for Data Quality a...

The Importance of a Single Product for Data Quality and Data Integration

Source: BI Research
Companies are fighting a constant battle to integrate business data and content while managing data quality. Data quality serves as the foundation for business intelligence (BI), enterprise resource planning (ERP), and customer relationship management (CRM) projects. Learn more about software that unifies leading data quality and integration solutions—helping your organization to move, transform, and improve its data.


Featured publications:

Comparing the Total Cost of Ownership of Business Intelligence Solutions
Source: Birst For many companies, traditional business intelligence (BI) software is costly and resource-intensive. So are open source alternatives that require significant configuration and integration. In contrast, software-as-a-service (SaaS) solutions can reduce the cost of a BI deployment by providing automation and pre-integration. Compare total cost of ownership (TCO) for traditional, open source, and SaaS BI solutions. Read More...
11 Criteria for Selecting the Best ERP System Replacement
Source: Epicor An enterprise resource planning (ERP) system is your information backbone, reaching into all areas of your business and value chain. That’s why replacing it can open unlimited business opportunities. The cornerstone of this effort is finding the right partner. And since your long-term business strategy will shape your selection, it’s critical that your ERP provider be part of your vision. Read More...
Product Analysis Report: IBM Cognos and SPSS Solutions
Written By: Jorge Garcia Published On: December 17 2013 Many organizations today have come to realize that using data effectively should be a key component of their business strategy. Businesses can expand and improve the information analysis capabilities gained through BI by using predictive analytics to anticipate risks and outcomes, predict trends, and discover unseen patterns in data. IBM SPSS solutions provide a complete set of predictive analytics capabilities and a flexible set of integration points with Cognos Business Intelligence. Read the report to learn more about how IBM Cognos software capabilities can be extended with the use of IBM SPSS predictive analytics capabilities. Read More...


You may also be interested in these related documents:

Six Steps to Manage Data Quality with SQL Server Integration Services
Source: Melissa Data Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost. Read More...
The Importance of a Single Platform for Data Integration and Quality Management
Source: BI Research Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help. Read More...
Developing a Universal Approach to Cleansing Customer and Product Data
Source: SAP Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management. Read More...

 
comments powered by Disqus



Recent Searches
Others A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

©2014 Technology Evaluation Centers Inc. All rights reserved.