Category Archives: TDWI Event

2015.06.05 – Predictive Analytics of Big Data & IoT ‘Bakeoff’ – SAS, Microsoft, SAP, IBM

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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS!
Please join us at TDWI Vancouver Chapter on Friday June 5th, for what may be the hottest ticket of the year. You will see four (4) of the top predictive analytics vendors in the world presenting why their product line is, and will remain, worthy of your consideration as you prepare and augment your ‘Analytics Workbench’.

The aim of Predictive Analytics is create actionable insights into your regular volumes of data, especially when intertwingled with Big Data and the rising tsunami of ‘mobilicity dust’ from the Internet of Things.

SAS, Microsoft, SAP and IBM have each been tasked with showing you a vision of how their Predictive Analytics toolsets can help your organization discover, adopt and drive predictions from all the wild new data sources. This should be fun!

Predictive Analytics:

When: Friday June 5th, 2015
8:40am to 2:30pm
Where: Sierra Systems
25th Floor (Whistler Room)
1177 West Hastings Street, Vancouver

Agenda:

08:40 – 09:00 a.m. Networking, Registration & Coffee/Muffin
09:00 – 09:50 a.m. SAS
Question & Answers, 1st Door Prize Draw, Coffee
10:00 – 10:50 a.m. Microsoft
Question & Answers, 2nd Door Prize Draw
11:00 – 11:30 a.m. Early Lunch – either pizza or sandwiches
11:30 – 12:20 p.m. SAP
Question & Answers, 3rd Door Prize Draw, Coffee
12:30 – 13:20 a.m. IBM
Question & Answers, Final Door Prize Draw
13:30 – 14:00 a.m. Networking, one more piece of pizza…

 

Don’t Miss This Chance to Connect with:

Four of the leading vendors of Predictive Analytics in the world! Invitations will have more information on presenters and IoT topic.

Click here to register for the this upcoming event

Space is limited so sign up early!

Upcoming Meetings

Mark your calendars for these regular quarterly meetings, hopefully we will also have more TechTalks as well.• Aug 07, 2015 – BI tool Bakeoff (tentatively Qlik, Tableau, Information Builders, +MS)
• Sep 04, 2015 – local success stories in BI – please give us a shout to share
• Nov 13, 2015 – Big Data in Healthcare, Internet of Things in Healthcare

2014.11.14 – 10 Ways to Align Information Governance & Mgt in Complicated Environments – Gwen Thomas – Nov 14 Presentation

Thank you for attending our November 14th presentation. Gwen Thomas has generously agreed to share her presentation with those who registered and attended the sessionI.

Thanks again from TDWI Vancouver for attending this informative session and mark your schedule for these upcoming events. Registration will be available soon – expect the first invitation mid-January.

  • February 13, 2015: Panel on MDM moderated by Aaron Zorned (head of the MDM Institute)
  • May 08, 2015: BI tool face-off
  • Sep 04, 2015: Local success stories in BI
  • November 13, 2015: TBD

Here is the presentation Gwen delivered. Gwen-Thomas-slidedeck-for-TDWI-Vancouver-20141114

CANCELLED: 2014.09.12 – 10 Ways to Align Information Governance & Mgt in Complicated Environments – Gwen Thomas (The International Finance Corporation)

CANCELLED last minute because Gwen Thomas has a personal emergency

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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear Vancouver BI/DW and Analytics Professionals,
Please join us on Friday September 12th, for our 3rd TDWI Vancouver quarterly session of 2014, where Gwen Thomas, Founder of the Data Governance Institute, will present on:
“10 Ways to Align Information Governance & Mgt in Complicated Environments”

It’s easy to lose sight of how data provides value to an organization if you’re mapping your efforts and accountabilities to the paradigm of “Business + IT”, especially if your enterprise environment is complicated.  Now, decision-making becomes complex for funding, requirements alignment, architecture, and other areas. This session provides a framework, tips, and stories from the trenches on how to approach “B+I+T” alignment in a way that demonstrates your commitment to providing transparency and value to the Business.

Gwen Thomas is a Data Governance pioneer, helping to define and evangelize the field.  Founder of the Data Governance Institute (DGI) and primary author of the DGI Data Governance Framework and guidance materials found at www.datagovernance.com, she has influenced hundreds of programs around the globe. In the spring of 2013, Gwen joined the International Finance Corporation, part of the World Bank Group, as their Corporate Data Advocate.         https://www.linkedin.com/in/gwenthomas

Gwen Thomas – DGI
When:
Friday September 12th, 2014
8:40am to 11:50am
Where: Deloitte Offices
26th Floor (Learning Centre), Bentall Four
1055 Dunsmuir Street, Vancouver

Agenda:

8:40 – 9:00 a.m. Networking, Registration & Coffee/Muffin
9:00 – 10:15 a.m. 10 Ways to Align Information Governance & Mgt in Complicated Environments
10:15 – 10:30 a.m. Networking,  more coffee
10:30 – 11:30 a.m. 10 Ways to Align Information Governance & Mgt in Complicated Environments
11:30 – 11:50 a.m. Questions, Networking, yet more coffee and that last muffin

 

Don’t Miss This Chance to Connect with:

Gwen Thomas – Global Thought Leader in Information Governance and Strategy

Click here to register for the this upcoming event

Also mark your calendars, next quarterly session: November 14th, 2014.

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2013.09.20 – Data Science in the Wild: Analyzing User Behavior at PlentyOfFish – Tommy Levi (PlentyOfFish)

Thomas LeviThe Sept. 20th., 2013 TDWI Vancouver chapter meeting chronicled a four week period at PlentyOfFish this spring when Tommy and a colleague wrangled a huge data set, created a pragmatic solution to a big data architecture problem, and generated actionable analysis. In 4 weeks! The presentation covered some of the data wrangling techniques, the data architecture choices they made along the way, the budget-friendly hardware and open source software they made work, and the data exploration tools and techniques they used such as CART Trees and step-wise regression analysis.

Presenter: Tommy Levi  Presentation slides are available here.

Andrew GeminoThe education session spotlight was on the SFU Beedie School of Business “Building the Talent Pool: Business Analytics and the Beedie School at SFU. The Beedie School of Business at SFU is working to develop student capabilities in business analytics. The school has launched an undergraduate certificate in Business Analytics and Decision Making as a complement to their BBA degree. Students graduate from the certificate by completing 8 courses including a capstone experience featuring teams developing recommendations from large industry data sets. The Beedie School is expanding by creating programs to enhance the skills of practicing professionals and those interested in developing capabilities and implementing business analytic solutions.

Presenter: Andrew Gemino Presentation slides are available here.

Next Session: May 24, 2013 Process Orientation for Data Management Professionals – Practical Techniques and Frameworks

Organizations everywhere are looking at their business processes, some in a casual or ad hoc way, but others becoming truly process-oriented. This is great news for data management professionals with skills in the business process arena. That’s because our goal may be improved data and information, but experience has shown that focusing on business processes is a great way to get the attention and support of the enterprise. After all, business processes are at the heart of what an enterprise does and how it delivers value.

The fly in the ointment is that so many organisations and analysts struggle when working with business processes. From the outset, they fail to properly identify true, end-to-end business processes, and it’s all downhill from there – ignoring the inherent resistance to “all things process,” failing to depict processes and their issues in a compelling way, and not effectively using them to establish context and elicit specific requirements.

This session introduces techniques for working on process-oriented projects, with practical frameworks and tips to get you off to a successful start. It touches on all phases of a project, including introducing business process concepts, discovering processes, scoping and assessing the target process, and modeling processes,. Throughout, we’ll illustrate the interaction between process and data perspectives.

Highlights include:

  • What people think business processes are, what they really are, and why it matters
  • Good news – how a data-oriented approach is invaluable in process discovery
  • Bad news – why some of our beloved approaches and frameworks get in the way
  • How to make processes visible and the need for improvement compelling yet blame-free
  • Workflow mapping, and the essential difference between process and data modeling

Alec Sharp, a senior consultant with Clariteq Systems Consulting, has deep expertise in a rare combination of fields – facilitation, strategy development, business process analysis and redesign, application requirements specification, and, of course, data modeling. His 30 years of hands-on consulting experience, practical approaches, and global reputation in model-driven methods have made him a sought-after resource from Ireland to India, and Washington to Wellington.

He is also a popular conference speaker on the data, process, and business analysis circuits, mixing content and insight with irreverence and humor. Among his many “top-rated of the conference” presentations are “The Lost Art of Conceptual Modeling,” “The Human Side of Data Modeling,” “Getting Traction for ‘Process’ – What the Experts Forget,” “Mind the Gap! – Integrating Process, Data, and Requirements Modeling,” and “Adventures in Reverse-Engineering – What You’ve Got and Why You Don’t Like It.”

At Enterprise Data World 2010, Alec was awarded DAMA’s 2010 Professional Achievement Award. At the recent Building Business Capability 2012 conference, Alec was the highest-rated speaker.

Alec literally wrote the book on business process modeling – he is the principal author of “Workflow Modeling: Tools for Process Improvement and Application Development.” Popular with process improvement professionals, business analysts, and consultants, it is consistently a top-selling title on business process modeling with a “5 star” rating on Amazon.com, and is widely used as an MBA textbook. The completely rewritten second edition was published in 2009.

Alec’s popular workshops, including Working With Business Processes, Data Modeling (introductory and advanced,) Requirements Modeling (with Use Cases and Business Services,) and Integrated Business Analysis and Requirements Definition (“iBARD”), are conducted at many of the world’s best-known organizations. His classes are practical, energetic, and fun, with participants often rating them “the best course I’ve ever taken.”

Contact Alec – asharp@clariteq.com.

Registration & Location:  Registration Link – coming soon

Networking & Registration @ 8:30 a.m. Opening Remarks & Presentation  starts at 9 a.m.

The event will be held at:
Deloitte Offices
26 Floor Learning Centre,
Bentall Four
1055 Dunsmuir Street, Vancouver

March 8, 2013 – Don’t miss these two… Predictive Analytics and Database Trends

Bringing Sexy Back – Why the database marketplace is changing quickly After several decades of standardization and commoditization, the database marketplace is now rapidly transforming due to disruptive forces in both technology and business. New entrants have emerged recently that are challenging conventional wisdom on the role of a database in an organization. Companies everywhere are re-allocating resource and money toward the database layer as a means of harnessing this change for competitive advantage. This presentation will focus on key trends that that are driving this change in the landscape and what it means for business.

Michael Bain:Michael Bain Global Database Director, Go-to-market Innovation, SAP. Michael has been involved in the Database marketplace for more than 20 years. In his current role, he is responsible for driving new go-to-market models for SAP’s database business. SAP as a company has set its sight on being the #2 database provider by 2015. Michael joined SAP in a sales leadership role and was responsible for the first global sale of SAP’s flagship HANA database. Prior to that, Michael worked for IBM for 15 years in a variety of sales and sales leadership roles, and led the sale of the one of the largest DB2 based data warehouses in North America. Michael started his career with Information Builders in Vancouver. Michael has a Bachelor of Mathematics degree from the University of Waterloo and is a former Board member for the BC Technology Industry Association. Making the most of your data through predictive analytics & data mining SAS Logo The ability to make effective, fact-based decisions is not based on data quantity. Most organizations are awash in data – too much of it, in many cases. Rather, success is based on an organization’s ability to discover more meaningful and predictive insights from the data it already has. In this presentation Tara Holland from SAS and Ella Young from Vancouver Coastal Health Authority will describe and show examples of how Predictive Analytics and Data Mining can reveal new insights out of existing data to improve business performance. The presentation will focus on how organizations can:

  • Discover new and relevant insights with speed and flexibility
  • Analyze data to find useful results with confidence
  • Act quickly to make better decisions and drive better actions.

Biographies of Co-Presenters Tara Holland, SAS Canada Tara HollandTara Holland is the manager of the Public Sector Solutions Team for SAS Canada. She leads a team that provides technical support and business guidance to Federal, Provincial and Healthcare customers across the country. Based in Ottawa, Tara has been with SAS for 15 years supporting the Analytic and Business Intelligence solutions. Her passion is in brdging the gap between Business and IT and enabling organiztions to deliver on the value of SAS Business Analytics using concepts such as Competency Centres. Prior to joinign SAS, Tara led the Data Mining team at Revenue Canada and lived the real-life challenges faced by organizations wanting to be more data driven. She also held positions in IT management, application architecture and business analysis at Revenue Canada, Saskatchewan Economic Development and Statistics Canada.

Ella Young, Vancouver Coastal Health Authority Ella YoungElla Young recently (January 2, 2013) joined Vancouver Coastal Health Authority as their Director, Care Continuum and Actuarial Analytics. Ella joined VCH to continue work she had been lauded for during her time as the Director, Actuarial and Risk Analytics with the BC Ministry of Health (MOH). At MOH Ella was responsible for building predictive models focused on chronic diseases, informing health sector decision making and providing leadership in modeling and data access. One example was a highly accurate predictive model for citizens of high-risk of becoming Heart Failure incident so resources may be focused the ‘triple aim’ of individual and population health improvement, positive patient experience and best use of system resources. Prior to her time at MOH, Ella held a number of senior-level roles with HEABC, CHSPR at UBC, PHC, the Provincial Blood Coordinating Office, etc. In addition, she has held senior positions in the energy and insurance industries including Risk Manager for Worksafe BC where she built and implemented predictive models that highly accurately identified likely future high-risk claims, and Western Region

Registration & Location:

Proceed to Registration Networking & Registration @ 8:30 a.m. Opening Remarks & Presentation  starts at 9 a.m. The event will be held at: Deloitte Offices 26 Floor Learning Centre, Bentall Four 1055 Dunsmuir Street, Vancouver

Learn how to maximize your return on Big Data

Big data means all data, including both transaction and interaction data, in sets whose size or complexity exceeds the ability of commonly used technologies to capture, manage and process at a reasonable cost and timeframe.  The wealth of new data surrounding us can bring unprecedented business opportunities, but few organizations today are equipped to realize the full benefit.  Learn how to maximize your return on Big Data by leveraging emerging technologies like Hadoop.

View full presentation here.

Speaker: Rob Meyer, Informatica.

Driving User Adoption for BI and Business Analytics Solutions

As we all know, a strong, foundational approach to Business Intelligence will support a broad range of information capabilities in an organization. While we often start with some basic reports and dashboards, there will come a point when the Business Intelligence assets can be leveraged to deliver on more advanced capabilities such as analytics or predictive modeling. In this case, we need to be considerate of how an organization can be positioned to be successful and reach a broad audience. This presentation will provide an overview of some of the current ideas and approaches used by organizations to support the adoption and evolution of Business Intelligence capabilities. This will include:

  • Cultural change
  • Communities of practice
  • Business Intelligence Competency Centers
  • Utilizing multiple BI technologies

Full presentation available here.

Richard Hines

Speaker: Richard Hines, TDWI Instructor, Partner at Ideaca

 

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May 25, 2012 Meeting

2012 TDWI Vancouver Chapter Dates

Mark Your Calendar – May 25, Aug 24, Nov 23

May 25, 2012  

TDWI Vancouver Chapter update: 9:00-9:10am

First Presentation:     9:10-10:10am

Title:    Driving User Adoption for BI and Business Analytics Solutions

Abstract:

As we all know, a strong, foundational approach to Business Intelligence will support a broad range of information capabilities in an organization.  While we often start with some basic reports and dashboards, there will come a point when the Business Intelligence assets can be leveraged to deliver on more advanced capabilities such as analytics or predictive modeling.  In this case, we need to be considerate of how an organization can be positioned to be successful and reach a broad audience.  This presentation will provide an overview of some of the current ideas and approaches used by organizations to support the adoption and evolution of Business Intelligence capabilities.  This will include:

  • Cultural change
  • Communities of practice
  • Business Intelligence Competency Centers
  • Utilizing multiple BI technologies

Biography:

Richard Hines, TDWI Instructor, Partner at Ideaca

Richard HinesA trusted thought leader in Business Intelligence, Richard has been immersed in the discipline since 1995, when he delivered one of the very first Performance Dashboards for British Telecom in Europe.  His depth of knowledge regarding technology and its strategic impact on decision making has made him a regular speaker at industry forums in Canada and the United States. He has held leadership positions in the United Kingdom, Australia, the United States and Canada. Richard has taught multiple TDWI courses, as one of only two Canadians certified to deliver their educational materials.

Coffee and networking break     10:10 -10: 30am

Second Presentation: 10:30-11:30AM

Title:    Learn how to maximize your return on Big Data

Abstract

Big data means all data, including both transaction and interaction data, in sets whose size or complexity exceeds the ability of commonly used technologies to capture, manage and process at a reasonable cost and timeframe.  The wealth of new data surrounding us can bring unprecedented business opportunities, but few organizations today are equipped to realize the full benefit.  Learn how to maximize your return on Big Data by leveraging emerging technologies like Hadoop.

Biography:

Rob Meyer, Informatica

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Rob Meyer is the Senior Director of Product Marketing of the Data Integration Business Unit at Informatica. He is responsible for all go-to-market activities for Informatica’s core data integration products including PowerCenter, PowerExchange, Metadata Manager and Data Services. Rob has worked for nearly twenty years in marketing, product management and engineering on business intelligence, integration, messaging and SOA technologies at startups and larger companies including Hyperion, Microsoft, Oracle and TIBCO.

Looking Ahead to    August 24th:

Double session on Mobility – don’t miss this one!

DOUBLE Presentation:

Title:    How to effectively manage mobility data through new and evolving analytics initiatives.

Abstract:

A discussion on Mobility ecosystem trends, the proliferation of data as a result, and the need to effectively manage this data through new and evolving analytics initiatives. Second half would be a case study of a current telecom client who is looking to monetize LBS (Location Based Services) and M2M (Machine to Machine) data with B2C (Business to Customer) and B2E (Business to Employee) clients.

Biography:

Andrew Szabo,    Senior Manager, Enterprise Mobility, Deloitte

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Over the past fifteen years, Andrew has worked with large North American energy, banking, telecom, manufacturing and defense firms, as well as federal and municipal governments in general strategy/technology consulting, process design and system implementations.  Andrew managed the  implementation of large scale  mainframe  and distributed based system implementations at Bank of America, Wachovia, Citi Bank, and Wells Fargo for more than 5 years.

Andrew also ran a national consulting practice at a large carrier where he was involved with strategy development and intricate system design for wireless networks (P2P and P2MP, public and private), mobility cost management, applications development, customer experience management, middleware and backend integration, process enablement and risk governance for Fortune 50 Clients.

Andrew’s main focus is to help clients with properly designed and implemented mobility strategies to transform a firm’s customer experience, bottom line and operational efficiencies.

Andrew holds an MBA from the University of Toronto’s Rotman School of Management.

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

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