Mogo is an emerging Vancouver based Fintech company with a special focus on banking. Mogos core business is personal lending, credit score monitoring, and trading bitcoins. It has also recently acquired an online trading business.

Format

Data Strategy (~600 words)

Challenges (~500 words)

Latest business analytics trends (~400 words)

Summary of the analytics (~500 words)

1. What would be the data strategy for Mogo? How does Open banking affect this data strategy?

2. what challenges mogo have to face in data strategy?

3. Given an example of how Mogo can make data driven decisions after the data strategy is applied?

4. Analyze the data provided to you from the perspective of Mogo. (Use tables or graphs along with explanation)

   	British Columbia
   Year	Average Houseold Income CAD	Savings rate (%)	Mortgage interest paid (CAD Millions)	Household Debt Service Ratio, by Region (Interest payments as a % of household disposable income, adjusted for consumer credit)
   2000	94,462	0.9	5,365.0	10.1
   2001	97,235	1.4	5,128.0	9.3
   2002	101,152	1.2	4,971.0	8.3
   2003	104,469	-0.6	5,100.0	8.4
   2004	111,064	-1.1	5,100.0	8.3
   2005	118,263	-1.5	5,564.0	8.6
   2006	128,744	0.0	6,387.0	9.2
   2007	137,373	-0.5	7,450.0	10.1
   2008	142,034	-0.1	7,733.0	10.2
   2009	140,482	-0.3	7,359.0	9.3
   2010	144,734	-0.9	7,413.0	9.0
   2011	152,291	-0.8	7,520.0	8.9
   2012	158,221	-0.1	7,370.0	8.4
   2013	166,281	1.9	7,559.0	8.2
   2014	172,841	-0.1	7,308.0	7.7
   2015	181,683	-0.6	7,063.0	7.3
   2016	187,000	-2.1	7,215.0	7.2
   2017	198,265	-1.6	7,765.0	7.2
   2018	203,820	-4.2	9,051.0	8.1
   2019	216,834	-1.9	10,028.0	8.3