Getting data - STAT! Implementing

Transcription

1 # T C 1 8 Getting data - STAT! Implementing Tableau at MD Financial Management Pier Martin Assistant Vice President Financial Analytics MD Financial Management

2 Welcome

3 Who is MD Financial Management? Based out of Ottawa, Canada 52 offices Canada-wide ~1,500 employees Over $50B in Assets under Administration On May 31 st 2018, MD was acquired by Scotiabank for $2.59B

4 Who am I? Pier Martin Assistant Vice President - Financial Analytics

5 Agenda What is BI and who s this Tableau? MD s journey with Tableau Part I: Our Data Part II: Our Analysts Part III: Our Client-Facing Staff Part IV: The Hard Questions How far MD has come you can do it too!

6 What is BI and who s this Tableau?

7 Part I: Our Data Data Availability & Governance

8 Our Data/BI Environment SQL Server Tableau Server 10.5 (core-based) 40 developers 1,500 interactors Over 280 dashboards

9 When we started - Availability Sources: Data warehouse via Report Builder (SSMS) required SQL knowledge Excel sheets SPSS & statistical files Lack of connectivity & access levels You would receive an ed spreadsheet Service requests for complex data

10 When we started - Governance Lack of trust in source systems Not easy to confirm sources Everyone had their own mini database sources We didn t have a quality circle ensuring errors were fixed Lack of definitions of business terms and metrics Most of all Lack of faith from front-office was hurting analytics

11 What Tableau changed Things got more fun! Code-free interaction (including JOINs) Went from 6 specialized data coders to 40 Tableau developers Visual exploration by all employees Direct connections to data sources data issues were fixed at source (no patching) Decreased time between question and answers

12 Up-to-theminute data coverage

13 Livemonitoring of our data

14 Driving data discovery through metadata access

15 Part II: Our Analysts Our Private Trust Business

16 When we started analysis We LOVE(d) Excel Dashboard = png screencap of Excel Politics - analysts had to have contacts to get data Processes were manual and Excel based Segregated teams, multiple sources of truth Analytical data sets were small due to Excel limitations

17 What Tableau changed Awareness of data work audience grew Began to speak a common data language (dimensions, measures, table calculations) Self-service, independence increased Sharing/repurposing work all dashboards are shareable/reusable Data consolidation one source of the truth

18 Direct-to- CRM tooltip links = process change from 14 clicks to 2 clicks

19 Live updates of progress by case allowing for better client experience

20 Part III: Our Client-Facing Staff Using Data To Drive Performance

21 When we started Advisor tools PDF/PPT and Word reports = no drill down! Monthly or quarterly frequency Siloed reports and access limitations (strict management control) Our staff didn t have the whole picture of their book of business

22 What Tableau Changed Live reporting, shared to all employees Dynamic, interactive reporting Create-once, share-many Pull vs. push approach: data is provided and used where and when our staff needs it

23 Advisor coaching tools allows for continued improvement!

24 Embedded visuals mean easy access from intranet

25 Next actions and client follow-up

26 Advisor sales against target self service at its best

27 Part IV: The Hard Questions Money, Adoption and Culture

28 Why should I use this? It s not Excel! Learning curve & new vocabulary We created transparency (open data) Finding advocates throughout the business Attracting people to look at our content

29 Culture of Data & Information Technology We destroyed data silos all work is out in the open in our Server sandbox Expectations went to daily/live reporting Data quality (push vs. pull approach) If something is missing, I hear about it that day less than 24 hours fix cycle Concept of data evolved beyond what can fit in a spreadsheet Expectation is now that all results are interactive and connected

30 Let s talk money MDPT Tooltip links led to $150k year saving a little bit of time per user adds up! Tableau Server refresh allowed us to repurpose a full time role = $80K saving Sales people being able to access their real-time stats without manual calculations = $330K saving (250 staff x 5mins per day = 20 hours per day = 4,400 hours per year = $330K per year) These are only the best examples we had.. there are many more!

31 So.. What did our evolution look like?

32 How far we ve come: 3 years ago

33 How far we ve come: 1 year ago

34 How far we ve come: yesterday

35 Please complete the session survey from the Session Details screen in your TC18 app

36 #TC18 Thank you! Pier Martin Assistant Vice President Financial Analytics

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