I’m pretty excited to share selected views from some analytics projects I have worked on. Each of these projects have interesting economic, administrative, regulatory, demographic, spatial and financial stories behind them.
Why this career?
The mission is simple, to make life easier. To many clients we try to reduce production cost and stretch-out the profit margins. For some, we help to improve client base and make more sales. The government want to evaluate projects based on set ideologies, campaign promises, overall mission and on equity considerations. Sometimes, we just help organizations understand their data – to ‘see’ before they ‘jump’.
As a data-driven Story Teller, I try to water down on otherwise complicated large numbers (BIG data) to create visually appealing charts, models, and sometimes interactive scenario builders to help Stakeholders make reasonable and informed decisions that improve efficiency, accountability and mitigate risks. I cannot undermine the use of various statistical, economic, etc assumptions in so doing.
Let’s be frank
With the flood of data available to businesses and governments these days, both private and public organizations are turning to analytics solutions to extract meaning from the huge volumes of data to help improve decision making. Influential personalities in analytics and research have argued that organizations who fail to embrace data revolution will likely phase out in the coming decade. Now, you should care about what I do!
Questions are helpful
As a Data Analyst with Statistical and Public Policy backgrounds, I ask lots of questions each time data is presented before me. Most of the time depending on what is involved, who is affected, purpose of analysis and more importantly; the client. The questions as expected, would determine the lens through which the data is explored in search of insights. Basically my questions fall into 3 categories:
- What has happened?
- What could happen?
- What should we do?
It always boil down to three broad inquiries:
- Descriptive Analysis
- Predictive Analysis
- Prescriptive Analysis
Wondering what they call people who do what I do? The world call us Data Analysts. But I refuse to be called just that. Call me a Story Teller, it turns me on.
Now take a look at views from some of my projects. Each of these are interactive, but I have limited those functionalities on this page. I am happy to share links to the live version on request.
1. MHI Transport Investment Dashboard
Interactive visualization analytics of transportation network investments by the Government of Saskatchewan, Canada . Covering expenditures, population settlement patterns, highways mapping and traffic reports. (2011-2017).
2. SLGA Cannabis License Criteria Dashboard
Mapping of Saskatchewan Towns and Municipalities to determine eligibility for cannabis licenses based on 2016 Canada Population Census. This project was for the Saskatchewan Liquor and Gaming Authority (SLGA).
3. Government of Canada Intergovernmental Transfer Growth
Visualization of historical growth in Government of Canada Intergovernmental Transfers for all Provinces and Territories. Also known as equalization payments, this transfer is by the Federal Government to provincial and territorial governments to help address fiscal disparities among Canadian provinces based on estimates of provinces’ “fiscal capacity”—their ability to generate tax revenues.
4. Canada Population Changes (2007-2017)
This visualization summarizes the gains in population across Canada’s 10 Provinces and the 3 Territories between the years (2007 – 2017).
5. Saskatchewan Legislative Assembly Bill Tracking (6 pages)
The challenge was about improving public reporting, transparency and feedback on bill processes in Saskatchewan Legislative Assembly. I used tableau to create a model for tracking bills as they progress through the legislative process. Course project for #JSGS882.