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Modernizing Data Integration and Visualization for Evidence-Based Decision-Making

This presentation highlights Statistics Canada's efforts to modernize every step of the data cycle, from data collection to dissemination, in order to improve the quality and accessibility of their products. It focuses on the integration of data from various sources, the development of responsive tools for analysis and visualization, and the support of responsible data use for citizens, governments, and businesses. The presentation also showcases examples of modernization initiatives and discusses the potential use of Cloud technology for future data collection. Funding, Indigenous data initiatives, and the transition to a low-carbon economy are also addressed.

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Modernizing Data Integration and Visualization for Evidence-Based Decision-Making

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  1. Statistics Canada Innovation data and beyond Presentation to Innovation conference December 13, 2018

  2. Modernizing every step of the cycle to improve our products….Creating the foundation for a digital government, society and economy Analysis and visualization Consumption Integration Dissemination From fragmented to modern methodologies to better integrate data from a variety of sources From limited to significantly expanded access and responsive, high value products and services From static data tables and analysis to provision oftools to evaluate and support responsible data use Supporting quality decisions by citizens, their governments and businesses based on evidence Generation and Collection Modernized StatCan Leading Edge Methods & Data Integration Flexible & Modern Workplace From survey-first segregated collection to maximizing the use of administrative/big data Sharing & Collaboration Statistical Capacity Building & Leadership User Centric Service Delivery

  3. … and allow for evidence-based policy- and decision-making Measuring the social and economic implications of the legalization of cannabis Transition to a Low-carbon Economy (Clean Tech) Measuring Growth in International Visitors to Canada Canadian Housing Statistics Program 4 8

  4. OCHRO Modernization Examples Centre for Gender and Diversity Statistics Information Hubs Innovation on Census • Collection methodology focused primarily towards Internet and self-response • Use of various administrative sources to support or replace data collection • Use of visualization tools to support dissemination of results • Planning for possible use of Cloud technology for some 2021 Census components • Planning and development for 2021 is well underway Funding: • 2021 Census cost per dwelling is approx. 8% lower than 2016 cycle and has declined every cycle since at least 2006 Indigenous Data and Capacity Building Initiative

  5. We are examining new data sources and leading edge methods Leading edge tools and methods Index Weekly satellite composites mid-April to mid-Oct 1987 - present • Satellite images • Linked data sets • Machine learning • Crowdsourcing • Scanner data … Agroclimatic data Census Agricultural Regions (CAR)

  6. Toward a strategy for Leading Edge Methods and Data Integration…(adapted from NITRD)

  7. 1. People, skills, culture Data science as a team sport! Talent management • Using data to measure talent and success (names are fictitious) • Create hubs • Data science accelerator • Data Science Centre of Expertise • Communities of practices • Presents opportunities to integrate and visualize data for enterprise-wide understanding and planning • Create new tools and data integration to enable proactive and predictive recruitment and talent development • Focus on initiatives that drive outcomes and can expand public service-wide • Working with the Public School • Revamped analytical courses • Active learning activities

  8. 2. Tools and technology Protected Infrastructure Experimentation 5 safes • Innovation centre • Innovation lab. • Protected environment • Confidentiality classification tool • … For publicly available data Designated room / highly sensitive data Office setting / less sensitive data Statistics Canada

  9. 2. Tools and technology Experimentation • Revamped innovation channel • Tech radar • Hackathons • Picasso (STC’s Information management tool for data) • … Interactive Visualizations Tech. Radar Impact Complexity MachineLearning Awesomeness CloudComputing

  10. 3. Experiment, adoption and scale up Experimentation • Analytical Project Initiative (API) • Research &development board • Unit responsible for innovation …

  11. Coordination Data service centres in regions 4. Coordination, alignment, ecosystems Partnership Framework Pillar 1: Establish Foundations for Cooperation Appropriate internal governance Pillar 2: Internal alignment Pillar 3: External alignment

  12. Moving forward • Technology and data are creating a fourth revolution • This creates new opportunities for Statistical Offices, including leadership opportunities • Innovation is a journey • Innovation needs to be aligned with the principles for official statistics • With large datasets, more attention needs to be put on bias, on confidentiality… • We need to create “environments” that facilitate innovation, while creating the right equilibrium between experimentation and implementation

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