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master data management

Results 26 - 50 of 95Sort Results By: Published Date | Title | Company Name
Published By: SAS     Published Date: Apr 25, 2017
If you’re in the data world, you know it’s full of discord. Multiple data sources, inconsistent standards and definitions, inaccurate reports and a lack of governance are enough to derail any organization. What’s an enterprise architect to do? With the right data governance and master data management (MDM) solution, you can set and enforce policies and establish a consistent view of your data without micromanaging it. You can eliminate duplicate and inconsistent data. You can combine traditional data and new big data sources – like streaming data from the IoT – into one harmonious view. Read this e-book for expert advice and case studies that will show you new ways to manage your big data – and make sure everyone’s on the same page.
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SAS
Published By: IBM     Published Date: Apr 18, 2017
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
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
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data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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cloud-based data, data quality, data management, hybrid environment, decision making
    
IBM
Published By: Oracle     Published Date: Mar 28, 2017
The complexities of distribution make it a most daunting challenge. Indeed, for hoteliers, mastering it might be akin to finding the industry’s Holy Grail. Consider the task’s many facets: Maximizing exposure to attract new customers and establish presence in markets, both near and far, requires contracts and integration with an everchanging cast of OTAs and metasearch companies. Evaluating voluminous amounts of data for rate management practically defines “paralysis by analysis.” And demonstrating online capabilities that can adapt to the ever-changing demands of today’s consumers – who expect everything to be faster, better and cheaper than yesterday.
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cloud, distribution, hoteliers, oracle
    
Oracle
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
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.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
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.
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mdm, data management, data fluidity, movement of information
    
Dun & Bradstreet
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
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IBM
Published By: IBM     Published Date: Oct 13, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere, mdm advantagw, enterprise applications
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Data quality and master data management in a hybrid environment
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ibm, mdm, big data, ibm infosphere, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 06, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere, data center
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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ibm, mdm, big data, ibm infosphere
    
IBM
Published By: IBM     Published Date: Apr 18, 2016
By using InfoSphere 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.
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ibm, big data, ibm infosphere, information empowerment, data integration, data management
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
By using InfoSphere 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.
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ibm, data, infosphere, server, data warehousing, enterprise applications
    
IBM
Published By: IBM     Published Date: Jan 13, 2016
With deep integration of matching and linking capabilities, application development tools and workflow components, IBM InfoSphere Master Data Management can help deliver a seamless transition from a virtual architectural style to a physical architectural style.
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ibm, mdm, linking, data, infosphere
    
IBM
Published By: IBM     Published Date: Jul 13, 2015
This Magic Quadrant, which evaluates 15 providers, will help find the right vendor for their needs.
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data solutions, mdm, master data management, data implementation, magic quadrant, data management
    
IBM
Published By: IBM     Published Date: Jul 08, 2015
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. 
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ibm, magic quadrant, gartner, data management, product data solutions, it management, enterprise applications
    
IBM
Published By: Waterline Data & Research Partners     Published Date: Jun 15, 2015
Information governance and master data management initiatives are complex and require participation from a broad range of enterprise constituents. We focus on five small and innovative vendors that may help information managers reach their information governance and MDM goals.
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vendors, governance, information, mdm, management
    
Waterline Data & Research Partners
Published By: IBM     Published Date: Jan 09, 2015
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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big data, mdm, client analytics, real-time analysis, it management
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Gaining a more complete, trusted view of customers is a strategic goal of most organizations. The challenge is that information about customers is typically managed and stored in many different applications, management systems and data silos. And this challenge is often compounded by a lack of consistency from one application to the next. The combination of IBM InfoSphere Data Explorer and IBM InfoSphere Master Data Management addresses these challenges by creating a single, combined, trusted 360-degree view of all data related to customers, accounts, products and other entities. The combined solution enables organizations to gain a deeper understanding of customer sentiment, increase customer loyalty and satisfaction, and get the right information to the right people to provide customers what they need to solve problems, cross-sell and up-sell.
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data integration, customer loyalty, customer service, big data
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
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mdm, big data, master data, data solutions
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
Read this Gartner Report: Gartner Magic Quadrant for Customer Master Data This Gartner's Magic Quadrant offer insight into the part of the packaged MDM solution market that focuses on how organizations master and share a ""single version"" of customer data
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data management, customer data solutions, mdm, software products, it management
    
IBM
Published By: Vision Solutions     Published Date: Aug 21, 2014
A report on research findings into the state of resilience and methods used companies to ensure their strength.
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data management strategies, data protection, system migrations, data safeguarding, cloud computing, data center design and management
    
Vision Solutions
Published By: Dell Software     Published Date: Aug 07, 2014
Learn how cloud-based master data management (MDM) empowers your fast-paced business to get the right data to the right place in real time, so you can remain competitive and agile.
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cloud, cloud based, mdm, data management, technology
    
Dell Software
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