Organizations with data-sharing environments, complex information and systems hinder business responsiveness and decision makers’ ability to make informed decisions. This white paper will describe how engaging in a master data management (MDM) project enables effective governance of data - specifically master data - and achieves maturity in key categories of the IBM Data Governance Maturity Model.
We need to move away from the current environment in which data is treated as separate from (and subservient to) applications and business process-which may require a cultural shift within the IT department.
Published By: Quocirca
Published Date: Apr 23, 2007
Information management, which includes both data and content management, is an essential building block for Service-Oriented Architecture (SOA). By taking a service oriented approach to information, you can achieve much greater value from your information assets.
Published By: Winshuttle
Published Date: Dec 04, 2006
This article describes an easy non-technical alternative to LSMW to update customer master records in SAP in fewer steps than LSMW, without technical involvement, and without requiring authorizations in SAP.
Published By: Siperian
Published Date: Jan 24, 2007
Master Data Management is a cohesive strategy for managing all master data domains. Where is your organization most likely to derive business value from a Master Data Management solutions? This report answers these questions and details the path forward: Adaptive Master Data Management.
The MDM of product data solutions market segment grew nearly 9% in 2013. Increasingly, end-user organizations are exploiting MDM as the heart of a digital business transformation. This Magic Quadrant, which evaluates 15 providers, will help find the right vendor for their needs.
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs.
This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on:
- Strategies and tactics for effective MDM processes
- The technology considerations that should be factored into project plans
- The ramifications of incorporating pools of “big data” into MDM efforts
- And more
A rewarding customer experience is the central aim for luxury gift company 1-800-Flowers.com: a fast, intuitive shopping process helps keep consumers loyal to its brands. Working with IBM, the company has built a master data management (MDM) system that helps deliver a more seamless experience to shoppers across multiple brands and channels.
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts.
The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
It is becoming increasingly more obvious that for data to have any real value, it must be in motion. It must flow. “All entities move” Heraclitus added, “and nothing remains still.” These ancient musings have startling relevance to the modern challenges and benefits of Master Data Management (MDM) programs across global enterprises. The entities he referred to were more philosophical in nature, yet it is no coincidence that the entities of our commercial world – customers, vendors, prospects and the relationship between them – are in a constant state of movement and change.
Published By: Datavail
Published Date: Nov 03, 2017
The management of financial data in an organization is of paramount importance. Reporting, evaluating ROI, making adjustments across the business, and increasing revenue depend on good, accessible financial data that can be updated and integrated across systems and software.
For these reasons, many organizations have turned to master data management (MDM) software in the effort to better store, access, search, retrieve, and analyze their financial data. These MDM solutions are able to collect data within a single unified, fully integrated, user-friendly platform. However, in order to be most effective, MDM applications must also have capabilities in data relationship management (DRM). DRM software is able to describe and enforce the relationships between data, no matter where it's located within an organization, to provide a holistic and consistent solution.
IBM® Information Governance Catalog helps you understand your
information and foster collaboration between business and IT by establishing
a common business vocabulary on the front end, and managing
data lineage on the back end. By leveraging the comprehensive capabilities
in Information Governance Catalog, you are better able to align IT
with your business goals.
Information Governance Catalog helps organizations build and maintain
a strong data governance and stewardship program that can turn data into
trusted information. This trusted information can be leveraged in various
information integration and governance projects, including big data integration,
master data management (MDM), lifecycle management, and
security and privacy initiatives.
In addition, Information Governance Catalog allows business users to
play an active role in information-centric projects and to collaborate with
their IT teams without the need for technical training. This level of governance
and collaboration c
Scalable data platforms such as Apache Hadoop offer unparalleled cost
benefits and analytical opportunities. IBM helps fully leverage the scale
and promise of Hadoop, enabling better results for critical projects and
key analytics initiatives. The end-to- end information capabilities of
IBM® Information Server let you better understand data and cleanse,
monitor, transform and deliver it. IBM also helps bridge the gap between
business and IT with improved collaboration. By using Information
Server “flexible integration” capabilities, the information that drives business
and strategic initiatives—from big data and point-of- impact analytics
to master data management and data warehousing—is trusted, consistent
and governed in real time.
Since its inception, Information Server has been a massively parallel
processing (MPP) platform able to support everything from small to very
large data volumes to meet your requirements, regardless of complexity.
Information Server can uniquely support th
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