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LDM Webinar: Why a Data Model is an Important Part of Your Data Strategy

By   /  August 1, 2016  /  No Comments

To view just the slides from the presentation, click HERE>>

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About the Webinar

Data can provide tremendous value to an organization in today’s information-driven economy. New customer insights, better efficiency, and new product innovation are just some of the ways organizations are obtaining value through data. But in order to achieve this value, a strong data architecture is required to ensure that the data infrastructure runs smoothly, while at the same time aligning with business needs and corporate culture. A Data Strategy can assist in building a data architecture foundation through:

  • Identifying business requirements, rules & definitions via a business-centric data model
  • Creating a data inventory & integrating disparate data sources
  • Building a technical data architecture through data models & related artifacts
  • Coordinating the people, processes and culture necessary for success
  • Identifying tools & technology needed for creating & maintaining high quality data

About the Speaker

Donna Burbank

Managing Director, Global Data Strategy, Ltd

Donna BurbankDonna Burbank, is a recognized industry expert in information management with over 20 years of experience in data management, metadata management, and enterprise architecture. She currently is Managing Director of Global Data Strategy, an international data management consulting company. Her background is multi-faceted across consulting, product development, product management, brand strategy, marketing, and business leadership. Prior to this role, Donna was the Global Practice Director for Information Management at an international consulting company, EAC Group, providing consulting and thought leadership for key clients worldwide. She has served in key brand strategy and product management roles at CA Technologies and Embarcadero Technologies for several of the leading data management products in the market. As an active contributor to the data management community, she is a long time DAMA International member and is the President of the DAMA Rocky Mountain chapter. She was also on the review committee for the Object Management Group’s Information Management Metamodel (IMM) and a member of the OMG’s Finalization Taskforce for the Business Process Modeling Notation (BPMN). She has worked with dozens of Fortune 500 companies worldwide in the Americas, Europe, Asia, and Africa and speaks regularly at industry conferences.

She has co-authored two books:  Data Modeling for the Business and Data Modeling Made Simple with CA ERwin Data Modeler r8.

Reach out to Donna Burbank at donna.burbank@globaldatastrategy.com and you can follower her on Twitter @donnaburbank.

About the Guest Speaker

Nigel Turner

Principal Consultant, EMEA Global Data Strategy, Ltd

Nigel_Turner_Headshot.jpgNigel Turner is Principal Consultant, EMEA at Global Data Strategy, Ltd. He specializes in information strategy, data governance, data quality & master data management. With more than 20 years of experience in the Information Management industry, Nigel started his career working to improve data quality, data governance & CRM within British Telecommunications (BT), and has since used this experience to help over 150 other organizations do the same. While at BT he also ran a successful Information Management and CRM practice of 200+ people providing consultancy and solutions to many of BT’s corporate customers. He is also an elected member of the UK’s Data Management Association (DAMA) management committee. In 2015 he was given DAMA International’s Community Award for setting up a mentoring scheme for data management professionals in the UK. Nigel is a well-known thought leader in data management and has published several white papers & articles and is a regular invited speaker at Information Management & CRM events. Follow Nigel on Twitter @NigelTurner8. He can be reached at nigel.turner@globaldatastrategy.com.

This webinar  is brought to you in partnership with:

Global Data Strategy

 

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