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• Good Data, Bad Information

  • When
    2023-10-19
  •  
    11:45 AM - 1:00 PM
  • Location
    Virtual via Teams

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  Abstract

  There is a significant distance (and many steps) between raw, granular data gathered in business and industrial processes, and information which is meaningful to human decision-makers.  The pathway from high quality data to high quality expression of information has many potential points of failure.  Some warning signs of business problems may be detected in the granular data, however the first derivative (moving towards “information”) may reveal more meaningful insight.  Also, data quality testing of raw, granular data may not be sufficient to evaluate the quality and efficacy of summary information or strategic information.  

  Decision-makers often function in a cognitive bubble.  The culture inside that bubble includes paradigms and vocabulary which the knowledge worker must understand when packaging strategic information to support executive decision-making.  

  Presenter

  Michael Scofield, M.B.A. is an Assistant Professor at Loma Linda University in Southern California.  He is a frequent speaker and author in topics of data management, data quality, data visualization, and data warehousing.  He has spoken over 365 times to professional audiences in over 27 states, Canada, Australia, and the U.K. 

  Audiences have included 24 DAMA chapters, 5 TDWI chapters,  14 ASQ sections and many accounting professional organizations.  He also guest-lectures at several universities.  

  His career experience includes auditing with a CPA firm, designing an accounting and general ledger system for a major California bank, as well as experience in government, manufacturing, finance, and software development.  Now semi-retired, he still does pro bono data mining and data quality analysis for non-profit organizations.   His greatest interests currently are data visualization, data quality assessment, and using graphic techniques to reveal business and economic behavior.  He also has humor published in the Los Angeles Times, and other journals.  

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• DAMA Days Canada - Calgary

  • Start
    2023-11-02
  •  
    7:00 AM
  • End
    2023-11-03
  •  
    5:00 PM
  • Location
    Improving, 2535-3rd Ave SE
  • Spaces left
    64

  Register

  2nd Dama Days Canada Conference

  The Calgary Conference will be an in-person event to promote networking and in-depth discussions with a full slate of live presentations and simulcast from other Canadian DAMA chapter cities. A social event is planned and light snacks and meals will be provided during the day.

  LIMITED SEATING (80 seats) - Register Now

  This exciting in-person conference features key note speakers such as:

  Dr. Tom Redman "the Data Doc", author of 6 books on Data Quality will discuss our failure to get regular people - those without the word Data in their title, interested and involved in data programs. 
  His latest book: "People and Data".

  David Hay - legendary data modeler and author of "Enterprise Model Patterns: Describing the World" and "Data Model Patterns: Conventions of Thought" and his 3rd book: "Achieving Buzzword Compliance (Data Architecture Language and Vocabulary)". David will share stories from the trenches: a case study on modeling the concept of "Road".

  Daragh O Brien - Data Management expert and genuinely funny and engaging speaker will share stories from his latest book: "Data Ethics - Practical strategies for implementing ethical information management and governance" co-authored with Katherine O'Keefe is now in it's 2nd Edition.

  Marilu Lopez - focused on helping organizations define their Data Strategies and implement their Data Management Operating Models. Marilu is an enthusiastic speaker at international conferences and is a CDMP Master, CIMP, and TOGAF certified. Her book, "Data Strategies for Data Governance” is now to order.

  
  

  GROWTH AND OPPORTUNITY

  30 sessions (multiple tracks) over 2 days will cover all aspects of the Data Management (DM) profession. Data Governance, Data Quality, Data Architecture, Data Modeling & Design, Data Storage & Operations, Data Security, Data Integration & Interoperability, Document and Content Management, Reference and Master Data Management, Data Warehousing & Business Intelligence, and Metadata. Bonus sessions on Data Monetization, Data Privacy and Data Strategy.

  MIXING & MINGLING

  Sessions will target 45 minutes to allow for Q&A as well as for attendees to network and move between sessions.
  All sessions will be recorded, so you can catch your favorite speakers after the conference.

  WHO SHOULD ATTEND

  Data Management professionals and business leaders wanting to maximize their data asset. Presentations will touch on the 11 Subject Areas of the DAMA Wheel, plus Career Management, Data Monetization, Data Privacy, Data Strategy, and Digital Transformation.

  Visit the event website regularly to see speakers as they sign up. Also note that the posted schedule is in Pacific Time (PT).

  National Sponsor

  

  Local Sponsors

                       

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• DAMA Days Canada - Regina

  • Start
    2023-11-02
  •  
    7:00 AM
  • End
    2023-11-03
  •  
    5:00 PM
  • Location
    SaskTel Collaboration Center, 1855 Lorne St, Regina, SK
  • Spaces left
    23

  Register

  2nd Dama Days Canada Conference

  The Regina Conference will be an in-person event to promote networking and in-depth discussions with presentations being simulcast into 3 rooms from Canadian DAMA chapter cities. A social event is planned and light snacks and meals will be provided during the day.

  LIMITED SEATING (30 seats) - Register Now

  This exciting in-person conference features keynote speakers such as:

  Dr. Tom Redman "the Data Doc", author of 6 books on Data Quality will discuss our failure to get regular people - those without the word Data in their title, interested and involved in data programs. 
  His latest book: "People and Data".

  David Hay - legendary data modeler and author of "Enterprise Model Patterns: Describing the World" and "Data Model Patterns: Conventions of Thought" and his 3rd book: "Achieving Buzzword Compliance (Data Architecture Language and Vocabulary)". David will share stories from the trenches: a case study on modeling the concept of "Road".

  Daragh O Brien - Data Management expert and genuinely funny and engaging speaker will share stories from his latest book: "Data Ethics - Practical strategies for implementing ethical information management and governance" co-authored with Katherine O'Keefe is now in it's 2nd Edition.

  Marilu Lopez - focused on helping organizations define their Data Strategies and implement their Data Management Operating Models. Marilu is an enthusiastic speaker at international conferences and is a CDMP Master, CIMP, and TOGAF certified. Her book, Data Strategies for Data Governance” is now available for pre-order.
  

  GROWTH AND OPPORTUNITY

  30 sessions (multiple tracks) over 2 days will cover all aspects of the Data Management profession. Data Governance, Data Quality, Data Architecture, Data Modeling & Design, Data Storage & Operations, Data Security, Data Integration & Interoperability, Document and Content Management, Reference and Master Data Management, Data Warehousing & Business Intelligence, and Metadata. Bonus sessions on Data Monetization, Data Privacy and Data Strategy.

  MIXING & MINGLING

  Sessions will target 45 minutes to allow for Q&A as well as for attendees to network and move between sessions.
  All sessions will be recorded, so you can catch your favorite speakers after the conference.

  WHO SHOULD ATTEND

  Data Management professionals and business leaders wanting to maximize their data asset. Presentations will touch on the 11 Subject Areas of the DAMA Wheel, plus Career Management, Data Monetization, Data Privacy, Data Strategy, and Digital Transformation.

  Visit the event website regularly to see speakers as they sign up. Also note that the posted schedule is in Pacific Time (PT).

  National Sponsors

  

  Local Sponsors
  

                   
  

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• Wind Energy Digitalization, Opportunities and Challenges for Optimization and Operational Excellence

  • When
    2023-12-14

  
  

  Once meeting details are available, registration will be opened.

  
  

  Abstract

  The main objective of this presentation is discussing applications of data centric methodologies for wind energy operation analysis and performance improvements. Due to uncertain nature of wind as a source of energy, predicting available electricity requires detailed and accurate performance modelling. Availability of accurate operational data is critical for monitoring overall electrical generation performance, equipment health, operational excellence and grid integration.

  Challenges and opportunities for ongoing industry wide digitalization initiatives, as well as research into analytics techniques such as statistical and AI/ML modelling will be discussed. Importance of standardized data models and metadata as the core foundation of digitalization initiatives for consistent AI/ML modelling, will be also included in the presentation.

  Presenter

  
  

  Alan Rezazadeh, has been working for about three decades in Alberta as a data analytics and governance specialist with focus on energy sector and academia research projects. His recent research engagements include oil and gas emission reduction, wind energy and electrical generation production optimization. Alan earned a PhD degree in Computer Science from the University of Regina, with a focus on applied mathematics and numerical analysis.

  
  

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