Tag Archives: MDM

Case Study: Master Data Management at Telus

TELUS became an early adopter of master data management when we began our Customer Data Integration efforts in the year 2000 with our own proprietary governance mechanisms. TELUS MDM evolved through a multi-year roadmap-based approach, envisioned in 2004 and implemented for customer, product and location data stores in the years afterwards. Today, TELUS is resolved to face the challenges and changes of evolution and sustainment in the master data management industry by building on our years of experience and adopting an even more comprehensive and measured approach to master data management in the coming years. This presentation is intended to share this MDM journey with peers in the industry and also bounce around ideas from our ongoing roadmap.

The first hour of the 90 minute presentation will be focused on Master Data Management at TELUS and the last 30 minutes will be an opportunity for attendees to join with Rajesh and Dahlia in an open discussion. The open discussion could delve into:

  • Specifics of TELUS’ experience, lessons learned, best practices and challenges with scaling MDM
  • Advice on attendee’s own plans for implementing MDM at their enterprise
  • Discussions around starting and prioritizing data quality and governance
  • Tips, traps and timely advice from TELUS’ and attendee’s experience.

Presentation available here.
Speakers: Rajesh Jayaprakash, Lead for the Customer Subject Area and Dalia Hussein, Director, Data Architecture
Date: 2011-03-25

Predictive Analytics: How to architect MDM and Analytics into your Enterprise Information Management Framework

Packaged solutions have not delivered fully on the promise to optimize
supply chain, improve resource planning, or get up close and personal with
customers. To fully leverage the growing mountains of data for competitive
advantage it is necessary to integrate operational and analytical worlds.
From its inception SAS has enabled organizations to compete on analytics
using the most advanced techniques for forecasting, optimization, and data
mining. Analytics is a natural step for MDM where analytics can be plugged
into business processes pervasively across the enterprise.

Hear the steps that are necessary to architect MDM and Analytics into your
enterprise information management framework and ensure that the people,
process, and technology are in place from organization culture, data
management, analytics, governance and technology. Go to presentation.

Speaker: Marc Smith, Solutions Architect, SAS Canada
Date: 2010-06-25