04/23/10
Some master data management (MDM) technologies have created a misperception in the market that MDM is designed to solve only a single business problem. This could not be further from the truth. The ability to start small by addressing one business problem and then scale to solve other business problems is the inherent beauty and value of MDM. Many companies recognize this fact and are successfully leveraging their multi-domain MDM investments to solve many business problems. Unfortunately, other companies are falling into the trap of creating more silos, rather than reducing them.
Sponsored By Informatica Corporation
04/23/10
Change data capture (CDC) is a strategic component in the data integration infrastructure that dramatically improves efficiencies, eliminates the need for batch windows, deals with the growth of data volumes, delivers information in real time, and reduces costs. Attunity Stream provides an enterprise-class CDC solution that complements and works seamlessly with existing ETL, data integration, and event processing technologies.
Sponsored By Attunity
04/23/10
Data warehouses are used for more than just strategic reporting, analytics, and forecasting. Today, companies are investing significant resources to integrate valuable information contained in their data warehouse into their day-to-day operations. Incorporating business intelligence into operational decision making enables these organizations to optimize business performance throughout the day. However, to achieve these efficiencies, data must be provided in real time. This white paper addresses the business reasons to move to real-time data warehousing and describes some of the common data integration approaches, with an emphasis on using real-time CDC capabilities.
Sponsored By Oracle
04/23/10
Data quality--the measure of data accuracy, completeness, and consistency across a business--has become the core focus of information management efforts among many of today’s organizations. Problems with data quality continue to plague corporations of all types and sizes. In this paper, we will discuss some techniques companies can implement to enhance data quality across the enterprise. We will also highlight iWay Software’s suite of data quality management solutions, which provide businesses with the ability to effectively and economically enhance the correctness, completeness, and consistency of information in each and every system within their technology infrastructure.
Sponsored By iWay Software
04/23/10
This paper examines the five key process management pain points that prevent IT from maximizing the efficiency and usefulness of the vital enterprise data it manages. The paper discusses how each of these key points can be successfully managed using advanced, sophisticated technology that is available today.
Sponsored By Cisco
04/23/10
The need for data management has never been higher. This paper will explore a new methodology for integrating data management principles into the organization. Through this proven lifecycle for data management, companies have the ability to create more accurate, integrated, and controlled data to support every part of the business.
Sponsored By DataFlux
04/23/10
Aster Data has developed and brought to market Aster Data nCluster, a new platform for data analytics. While a young product, nCluster has successful customers, including the two described in this paper. Among those interviewed by WinterCorp is MySpace, a leading social networking site running four nClusters of which the largest operates on 102 nodes and manages more than 145 TB (terabytes) of user data. The results of WinterCorp interviews with two nCluster customers are described in this paper.
Sponsored By Aster Data Systems
04/23/10
A business can’t function on bad, faulty data. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute their data across the enterprise, which could lead to bad business decisions. Bad data also hinders the successful integration of data from a variety of data sources. But developing a strategy to integrate data while improving its quality doesn’t have to be costly or troublesome. With a solid Total Data Quality methodology in place--which entails a comprehensive process of data profiling, cleansing, parsing, and standardization, matching, enrichment, and monitoring--an organization can successfully facilitate an MDM application. Total Data Quality helps expand the meaning between data sets, consolidates information, and synchronizes business processes. It gives organizations a more complete view of customer information--unlocking the true value of its data, creating a competitive advantage and more opportunities for growth.
Sponsored By Melissa Data
04/23/10
Data integration comprises the processes by which data from different parts of the information system are moved, combined, and consolidated. To help you evaluate various solutions and technologies available on the market, and to compare the leading open source data integration technology with other alternatives, this white paper presents the top 10 reasons customers are choosing Talend—with proof points provided as extracts from customer case studies.
Sponsored By Talend
04/23/10
As it evolves, the term master data management (MDM) has become an amalgam of different functions and capabilities. Some MDM vendors specialize in only a slice of the MDM pie, while others serve up an entire platter of functions and features. As a result, some MDM early adopters have overinvested, having acquired full-blown solutions brimming with unnecessary capabilities that turn out to be functional overkill. Others have simply begun their MDM programs because they have with so many other IT initiatives, launching projects that resemble data warehouse or enterprise service bus implementations, or choosing vendors whose features ultimately miss the mark. In this white paper, Baseline Consulting presents an MDM taxonomy that separates and describes discrete capabilities, helping you understand your company’s “as is” environment to help you accelerate toward your “to be” objectives for master data.
Sponsored By Baseline Consulting
04/23/10
This white paper discusses the role of data modeling in documenting, explaining, and clarifying the output of the various components of BI. Each component has different structures and requires different approaches for the data modeler. However, with careful use of modeling tools, we can avoid the risks of misinformation and extend the benefits of fully understanding the designs of our systems.
Sponsored By CA ERwin Modeling
04/23/10
Business structures are complex. Companies are continually merging, acquiring or spinning off other companies, necessitating changes in how their relationships with other organizations are reflected. Each change adjusts their organizational structure, affecting how organizations like yours interact with them. Increasingly, businesses are turning to master data management (MDM) solutions to better understand and manage business relationships with customers, suppliers, vendors, and partners. For these businesses, an MDM solution with a strong grasp on organizational hierarchy management is a must. Moreover, businesses need an organizational hierarchy management solution with the flexibility to manage and display multiple, alternate views of the same set of customers.
Sponsored By Initiate Systems
04/23/10
Data performance problems occur within even the most carefully planned and well-executed data integration environments. Large and growing data sets combined with shortened operational time frames often create unacceptable bottlenecks and latencies in processing and accessing data. The business ramifications of these data bottlenecks can be severe, resulting in lost revenue opportunities, increased costs, impaired decision making, and customer attrition. For organizations experiencing these data performance problems, it is crucial to minimize or eliminate them before they impact the business. Ideally, the solutions will be implemented in such a way to be cost-effective, not require significant investments in additional software and hardware, and not disrupt to the company’s existing, core data integration environment.
Sponsored By Syncsort