1. Mark Diner, Government of Alberta June 21, 2017
QPAC 2017
Mark Diner,
Government of Alberta
June 21, 2017

2. Welcome

3. Today’s Agenda Our Open Government Program
Open Data and Open Information
Open Laws
Big Data
The maturity of Open Government

4. Open Government in Alberta open.alberta.ca

5. Stronger, more open partnerships
Current Future

6. open government design model
This is the model that we also use that describes the key components of Open Government
Transparency: being open by design – examples of this is the Open Gov Portal
Participation; and that includes opportunity for ALL citizens to engage in the policy design processes, and through the entire lifecycle of policy implementation
This means that Collaboration and how we do that must change – eliminate silos; etc.

7. Definitions
Government of Alberta Open Government Policy, 2013

8. For there to be Open Data it must:
align with the Open Government Licence

9. open.alberta.ca

10. Growth of information under the Open Government Licence

11. “Open Laws”

12. For there to be Open Laws they must:
align with the Open Government Licence

13. For there to be Open Laws they must:
be very easy to discover: catalog, search and be freely available:
lawyers
citizens (varies province by province)

14. For there to be Open Laws they must:
be available inclusively and optimally based on how citizens live or how stakeholders work:
lawyers
citizens (varies province by province)

15. Open Laws would ideally:
provide context via key metadata

16. …maximizing data and information now available to citizens
Strengthen relationship between citizen and Government
Better democratic outcomes

17. Open Laws therefore will:
strengthen relationship between citizen and government departments
providing the building blocks for better democratic outcomes

18. Open Laws Case Study – consider this clash of culture.
The State of Georgia vs. the Libraries (a consortium)
In court arguing about whether the libraries can freely distribute the building code of Georgia (as its copyright by the state).

19. Policy -> Laws-> Regulations-> Business Process->Applications to monitor, coordinate->data ->New Insight->Policy-> Laws….
Current Future

20. Opportunities presented from Open Data and Information

21. Leverage the data for research…

22. Three examples: Opportunity Ministries Example
of opportunities to leverage Government data (both open and internal) to strengthen both evidence based decision support and policy development.
Opportunity
Ministries
Example
Better manage the use of Alberta’s natural resources
Environment & Parks
Alberta Energy Regulator
Agriculture & Forestry
Culture & Tourism
Health
Use data to guide policy and plans so that the South Saskatchewan river provides clean water to citizens while supporting tourism, economic development and sustainable agricultural practices.
Understand the impact of the  boom bust cycle on Alberta’s Labour Force
Labour
Human Services
Advanced Education
Education
Linking data from multiple sources to analyze the volatilities of the energy sector and how the Alberta labour market is equipped to respond to shocks in the economy.
Reduce the impacts of Fetal Alcohol Spectrum Disorder (FASD)
Indigenous Relations
Justice & Solicitor General
Improve capabilities to unlock and share operational data in a coordinated effort to advance social support that address the needs of individuals with FASD.

23. Enterprise Data Analytics (EDA) defined
The ability to harness information across program areas to produce useful insights or goods and services of significant value.
EDA looks beyond the scope of reporting to instead providing insights to drive the decision making process.
EDA is a strategy as much as a set of tools.
Information and Data management is at the heart of the EDA.
Benefits are found in four areas:
IT cost savings
Business process efficiency
Business process as a platform for standardization, and
Integration as catalyst for innovation.

24. Current State
The ability to deliver enterprise data analytics is currently limited by effective sharing and processing of data and to derive useful information from this data owing to:
Fragmentation of data, information and analytical assets
Real and perceived privacy, security and legal concerns
Lack of supporting technology and limited analytical systems
Organizational culture, and skills

25. Business Drivers Improved information for decision making1 2
Improved information for decision making
Demand for increased transparency
Demand for improved citizen engagement and service delivery
Increased demand for innovation and collaboration
Efficiencies of resource utilization
Business process harmonization 3 4 5 6

26. EDA Framework
Who: the human capital (People) – a skilled workforce, and data-confident consumers.
What: the tools and infrastructure (Technology) to acquire, store and analyze data.
How: the methods of sharing data (Process) – the ability of data consumers to access and share data appropriately.
Where (everywhere it’s needed) and When (whenever it’s needed) are intrinsic to the nature of data analytics.
Governed by standards, and agreed to business process and approvals.

27. In flight now and shaping the vision
federated sharing
innovation and economic
diversification
reduced
duplication
culture of collaboration
transparency
establishing partnerships
Process: information will be shared via the Internal Data Discovery Portal and the Open Gov Portal
People: necessary skills acquired via a pre-qualified labour pool, and being developed via the post-secondary system
Technology: dashboards, visualizations enabled via enterprise technology acquisition

28. Start to learn

29. Consumer Affairs ~1 million rows of data (5 yrs.)
EXAMPLE
Efficiency: Seasonality in residential complaints.
Insight: Why the spike in Internet sales complaints?
Business Process Improvement : hundreds of unused codes

30. Additional examples and opportunities
Social opinion of sexual assault (for Status of Women)
Patterns and insight from data regarding air and water quality (IRMS Program)
Fetal Alcohol Spectrum Disorder (data sharing, integration and access)
Executive dashboard for the Alberta Climate Change Office

31. Traffic Collision data analysis

32. Traffic Collision data analysis

33. Conclusions

34. Open Government as a maturity model