Loading Events
Raedan Exchange Dat Quality Training
09 October 2017

Details

Start: 9 October
End: 20 October

Venue

AUSTRALIAN WORKSHOP SERIES

Canberra | Adelaide | Melbourne | Brisbane, Australia

Organiser

Raedan Exchange
Phone: +61 2 6161 0208
Email:
Website: Visit Organizer Website

Schedule

  • 8.30 am Registration
  • 9.00 am Welcome
  • 2,30 Lunch
  • 5.00 pm Close
  •  

Each attendee receives printed copies of the slides.

Tom will auction off a copy or two of his Latest Book, Getting in Front on Data: Who Does What.

Testimonials

Steve Hoberman – Data Modelling Masterclass – It was structured very well with good exercises to help understand new concepts. Policy Officer

Steve Hoberman – Data Modelling Masterclass – Quality Presentation Steve is super approachable and excellent at guiding attendees. Programme Reporting Manager

Steve Hoberman, Data Modelling Masterclass Great content and speaker. Very useful practical knowledge for my work. – BI Developer

Steve Hoberman – Advanced Data Modelling Challenge – Simple, clear, succinct. Assistant Director

Steve Hoberman – Advanced Data Modelling Challenge  – Definitely learnt more on abstracting. Data Officer

Peter Aiken – Evolving your Information Architecture  -Excellent content and delivery. Wonderful work. Information Architect

Peter Aiken – Evolving your Information Architecture – Peter is an engaging and effective presenter with wide experience, which he shares. Also a good networking opportunity. Senior Information Governance Officer

Evolving your Information Architecture by Peter Aiken – Extraordinary.  Design & Data Scientist

Lloyd Robinson, Data Management Overview It was great.  I learnt a lot. – Program Coordinator

Lloyd Robinson, Data Management Overview – “Lloyd is great presenter and managed to sustain our interest throughout the day”, Data Management Team Coordinator

Lloyd Robinson, Practical Data Governance “Good detail and notes” Data Management Team Member

Lloyd Robinson, Practical Data Governance Thoroughly enjoyed the course. Very relevant it my work, even the case studies – Business Manager, Analysis & Reporting in Team

Lloyd Robinson Data management Overview – “I work in a different area but the course was useful for understanding data management concepts. Something to look into for career development”, Reporting Officer

Getting in Front on Data: Australian Tour

9-10 October 2017
National Portrait Gallery
Barton

12-13 October 2017
Hotel Rockford
South Adelaide

16-17  October 2017
Melbourne Business School
Carton, Melboune

19-20 October 2017
(TBC)
Brisbane CBD

The Data Provocateurs’ Boot Camp

Most companies and government agencies are reactive to data quality after errors are made – and they suffer from bad data as a direct result.

It takes a special person to challenge the status quo on data within his or her work team, address the data quality by getting in front of the issues, and in effect, show the rest of the company what is possible. Tom Redman introduced the term,  data provocateur  to describe this person and has design this course for them.

This two-day workshop provides the path to being a data provocateur as it:

  • Explains why data quality is such an important problem.
  • Provides all the  “how-tos” needed to become an effective data provocateur.
  • Gives just enough of the underlying thinking.
  • Features a sequence of in-camp exercises – on your own data if you choose.
  • Features a sequence of “on-the-job assignments, stemming from in-camp exercises.
  • Calls out the organizational, social, and political issues that will come up.
  • Empowers and emboldens you to move forward.

Course Outline

  • Introductions & ground rules (Bring out your questions)
  • Some sobering statistics
  • Bad data makes it harder to “put data to work”
  • Your personal and business experiences with bad data
  • An exemplary provocateur: Bob Pautke at AT&T
    We go into detail about Bob’s thinking, his first steps, how AT&T built on his efforts, and the results obtained.
  • Why data quality problems arise? (Answer: The rising middle manager)
  • The hidden data factory
  • “Personas” of successful provocateurs (You’ll be surprised)
  • Provocateur defined, with special emphasis on soft skills.
  • Discussion: Can you fill the role?

Learn, explore and practice the four-step Data Provocateur approach in session.

Step 1: Answer “Do I (we) have a data quality problem?”

Step 2: Clarify, document, and communicate customer needs/Connect customers and creator

Step 3: Make improvements to close the gaps

Step 4: Become a role model

  • The process management cycle
  • Capabilities that make-up a fully-functional data quality program
  • Social issues in data quality management
  • Building support to “get to the next level”
  • Discussion: How far can you go?
  • Making a Promise to yourself
  • In their words: Successful data provocateurs describe their work
  • Summary of the main points and any remaining questions.

This workshop is available in four locations.

We send a code to register for the free Executive Seminar extension in either Canberra or Melbourne after you register.

Register for the FREE
Executive Seminar Canberra

11 October 2017
8.30 -11.30 am
National Portrait Gallery, Barton

Register for the  FREE
Executive Seminar Melbourne

18 October 2017
8.30 -11.30 am
Venue to be confirmed

Presenters

Tom Redman

Tom Redman, the “Data Doc,” helps companies, including many of the Fortune 100, improve data quality. Those that follow his innovative approaches enjoy the many benefits of far better data, including far lower costs. His recent article, “Data’s Credibility Problem,” (Harvard Business Review, December 2013) showcases what’s possible. Tom’s “Data Driven: Profiting from Your Most Important Business Asset” (Harvard Business Press, 2008) is the guiding light for companies seeking to build their futures in data. Tom started his career at Bell Labs, where he led the Data Quality Lab. He has a Ph.D. in Statistics and two patents.

Sponsors

Leave a comment

Your email address will not be published. Required fields are marked *