Optimize your master data management strategy with this kit

An emerging concept in India, master data management strategy helps companies consolidate and leverage business data accurately. This maneuvering can do more than just arriving at a ‘single version of the
truth’. This comprehensive guide put together by our IT experts will help you optimize your master data management strategy and get the best out of your MDM strategy.

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6 high profile examples of Big Data improving operations for corporations

This e-guide collates a group of examples of big data technologies in use, such as how Mercedes-AMG Petronas Motorsport are looking to gain an edge on the competition in the Grand Prix season. Also see how big organisations are managing their big data operations and their data analytics programmes and teams through some high profile case studies.

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In this Guide:

  Learning center

• Fast guide on master data management strategy
• How did the MDM architecture evolve?
• 13 master data management terms defined

 Strategic trends in master data management

• Cloud’s role in the future of MDM
• The importance of analytical MDM process
• Contribution of analytical MDM to BI, enterprise MDM
• Business prospects of master data management

 Best practices

• A true Hollywood story
• Five master data management mistakes to avoid
• Gather business requirements for MDM projects?
• Significance of data stewardship, governance to ERP MDM projects
• MDM tools vendor selection criteria
• Secrets to building MDM business case
• Focus on business benefits to sell MDM to executives
• Five ways CDI can help your organization
• Getting started with CDI implementation

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  Learning center

  Fast guide on master data management strategy 

  An effective master data management strategy can help an organization to consolidate its data while making it available to the relevant entities, and to keep it accurate, updated. It is a strategic resource for time-constrained managers. Download the master data management PDF for free! 

• How did the MDM architecture evolve? 

  Want to learn about the evolution of master data management architecture? Look no further. Find it all here. Learn how MDM architecture has changed over the years; gain insight on architectural
  considerations for a good master data management strategy.  

  13 master data management terms defined 

  To help you define your long term strategy for master data management, we have compiled a list of the top master data management terms, definitions, and concepts. Learn how an end-to-end master data management strategy can improve your profitability. Also explore  other useful MDM tutorials, training, video, podcasts, and more.

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• Strategic trends in master data management

  Cloud’s role in the future of MDM 

  According to IT research firm Gartner, cloud computing and social networks will play important roles in master data management as the MDM strategies of organizations evolve. Read further to know how and why you should warm up to the idea of cloud-based MDM offerings.

• The importance of analytical MDM process 

• Companies chalk out their master data management strategies for vastly different reasons. Is an analytical master data management strategy just a starting point for enterprise MDM? Get consultant William McKnight’s take on the relationship between analytical and operational MDM.

• Contribution of analytical MDM to BI, enterprise MDM 

• Analytical MDM projects can be a good jumping-off point for achieving larger-scale enterprise master data management objectives. But careful planning is crucial, warn the experts.

• Business prospects of master data management 

• According to U.K.-based analyst firm Information Difference, the strategic importance given to master data management (MDM) deployments is  on the rises. What are the driving factors behind increasing MDM deployments? For one, it is data quality. Read further to identify other important determinants.

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• Best practices

• A true Hollywood story 

  With innumerable ‘titles’ in the company’s digital library and with IT transforming how movies and TV programs are created, stored, and distributed, the IT team at Sony Pictures felt the need for a proper master data management strategy. Find out how it met this challenge with a  successful MDM project rollout at a time when there was no support from the business side of the organization.

  Five master data management mistakes to avoid 

• An analytical master data management strategy can serve as the backbone of data warehousing and business intelligence (BI) initiatives by ensuring that the data used for reporting and analysis is clean and consistent. But such initiatives can go horribly wrong, thanks to some common missteps. Take strategic precautions when designing and implementing an analytical master data management project.

• Gather business requirements for MDM projects? 

• Do you need to gather business requirements for an MDM project? Learn how functional requirements are the key differences between the master data management and BI development processes.

• Significance of data stewardship, governance to ERP MDM projects 

  Data stewardship and data governance are key to the success of master data management strategy in operational ERP environments, according to Gartner. Find out more.

• MDM tools vendor selection criteria 

• Master data management adoption has witnessed a massive explosion and MDM tools are fast turning into necessities. Shape your master data management strategy by selecting the right product vendor.

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• Secrets to building MDM business case 

• Getting the CFO’s nod to your master data management project can be a challenge if the strategic benefits of project are not spelt out. Use these smart tips to cut to the chase and pocket that MDM tools investment. Master the art of pitching the business case to the top management.

• Focus on business benefits to sell MDM to executives 

  Data management pros must focus on the business benefits (and not the technical ones) of master data management (MDM) when selling it to executives, according to consultant Jill Dyche. Get more details here.

• Five ways CDI can help your organization 

• A subset of master data management, customer data integration (CDI) helps you better understand your customer by integrating and leverage the customers’ data collected at every touch point. Know how CDI can deliver strategic yields to your master data management efforts.

• Getting started with CDI implementation 

• Since customer data integration (CDI) is one of the new technologies under master data management that Indian companies have set their eyes on, designing its strategy will require taking a few precautionary steps. Get started on your CDI project with these useful tips from data integration expert Evan Levy of Baseline Consulting.

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