Category Archives: Presentation Files

Managing Enterprise and Operational Analytics

Why Business Intelligence Just Became Complicated

In the early days of Business Intelligence, the focus was on awareness of the discipline and developing sound approaches and methodologies to ensure success and drive business value. Now, awareness is not a problem, but proliferation of the concept is. As more and more operational applications are including Business Intelligence capabilities out-of-the-box, how have the key concepts originally envisioned for the BI discipline come into question. In many ways, the original vision for Business Intelligence has both expanded and contracted. Regardless of whether one believes this to be a positive or negative, it is reality and we now need to ensure that we properly understand what this means for Business Intelligence initiatives and the future of the discipline in general. This session will cover:

  • How has Business Intelligence become complicated and what does this mean for current initiatives?
  • How can we manage Operational and Enterprise BI initiatives without impacting the business user community
  • Can we embrace BI-in-a-box, and maintain the integrity of one version of the truth?
  • What does the future of BI hold for information integrity and decision making accountability?

Full presentation available here…

Speaker: Richard Hines, TDWI Instructor, Partner at Ideaca
Date: Febraury 10, 2012

Ideaca Logo

Case Study: why did data governance succeed at Canaccord?

Many organizations try to introduce Data Governance in their corporate structure and many fail. This presentation explains how Canaccord’s own Enterprise Data Management team implemented Data Governance Program at Canaccord Financial and the secret of their success. They will discuss driving forces, success factors and challenges encountered along the way as well as next steps to move it towards a more mature Data Governance model.

Full presentation available here.

Speaker: Cindy Bayley, Manager of Enterprise Data Management at Canaccord Financial and Ana Ristic, Data Architect at Canaccord Financial.
Date: November 25, 2011

Mobile + Social + Cloud + Big Data = Business Intelligence of the Future

Mobile, Social, Cloud, and Big Data technology trends are massively disrupting business and communication. Inaction is not an option for companies. Hear how to turn these trends into opportunities. BI technology is enabling companies to win in their markets. You need a competitive edge. Armando will discuss:

  • Unlimited Reach with Mobile
  • Mining the Social Explosion
  • Moving to the Cloud
  • Harnessing Big Data

Full presentation available here.
Speaker: Armando Elias, Sales Engineer at MicroStrategy
Date: 2011-11-25

Data Quality: Risks and Mitigation

Data quality and governance continue to be hot topics. Poor quality and lack of governance controls not only burden IT professionals, they also constitute a significant risk exposure to an organization. Learn the aspects of enterprise risk and how governance and stewardship structures can be employed for mitigation. Practical approaches and examples will be discussed during the session.

View full presentation here.

Speaker: Farzin Ismail, Leader of Data Risk Practice for Western Canada at Deloitte
Date: 2011-10-14

BI Agility: Is cloud BI ready for you?

A Cloud Business Intelligence vendors have been stirring up the BI scene for several years now. In their 2011 Enterprise Software Forecast, Gartner noted that ‘ease of use’ has surpassed ‘functionality’ as the dominant BI platform buying criterion. Much of this push toward the consumerization of BI has come from leading Cloud BI vendors pushing back against the complexity of traditional BI tools.

To many BI practitioners, cloud BI vendors seem to be advocating against many of the tools and processes they have become comfortable with in the name of end user simplicity and agility.

In this session BI veterans from Indicee will provide an overview of cloud BI and its fit for your project. We’ll look at the different approaches Cloud BI vendors are taking, the impact these approaches have on agility and how they compare to well known, traditional tools. As much as possible, this will be use case driven using real world examples of Cloud BI in use.

We’ll also look at some use cases that have traditionally been difficult for Cloud BI vendors and what trade-off decisions you’ll have to make in your quest for agility and end user adoption.
You’ll come away with a solid understanding what the Cloud BI landscape looks like, what benefits you can achieve from increased agility and a basis for deciding whether a Cloud BI solution might be right for your project.

View full presentation here.

Speaker: Graham Ross, VP Product Management, Indicee
Date: 2011-10-14

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

Interoperability for multi-vendor business intelligence

Enterprises often grow through mergers and acquisitions. As a result, enterprises usually end up with disparate brands of data warehouses and BI clients. This talk introduces some of the challenges and methods of bridging such “Islands of BI”. We first briefly introduce OnLine Analytical Processing (OLAP), and the real-time performance it provides for ad hoc multi-dimensional queries. We then describe how the Multi-Dimensional eXpression (MDX) query language and XMLA are becoming brand-independent standards for BI queries from Excel, SAP Voyager, Cognos, MicroStrategy, and other BI client applications. Finally, we overview architectures, some using surprisingly-simple direct connections, for bridging BI client applications to other brands of BI servers.

Presentation available here.
Speaker: Russell Tront, Director of Product Management, Simba Technologies
Date: 2010-11-26

Case Study: North Shore Credit Union’s Business Intelligence Strategy

Michael will be sharing the story of NSCU’s development toward implementing a full corporate Business Intelligence strategy. Focusing on specific challenges and hurdles overcome by various departments along the way.

Presentation available here…

Speaker: Michael Zewicky, North Shore Credit Union
Date: 2010-09-24

An Agile Approach to Building and Managing Data Warehouses

A briefing by WhereScape

After nearly two decades, databases, development tools, and design
approaches have matured greatly to support Business Intelligence. Yet, Data
Warehouse projects still struggle to meet the needs of business users and
often require resources beyond the reach of many companies. Agile
development techniques address the underlying root causes of the roadblocks
to success. Unfortunately, most BI development tools were not designed to
support this approach. Presenters will use RED, the preeminent Integrated
Development Environment for agile Data Warehouse projects, to illustrate how
successful agile DW development is practical for most businesses, regardless
of size.

See full presentation here.

Speaker: Mary Meredith, Senior Technical Analyst, Wherescape USA Inc
Date: 2010-06-25

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