#TC18 Getting data - STAT! | Implementing Tableau at MD ... · •Dashboard = png screencap of...
Transcript of #TC18 Getting data - STAT! | Implementing Tableau at MD ... · •Dashboard = png screencap of...
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Getting data - STAT! | Implementing Tableau at MD Financial Management
Pier Martin
Assistant Vice President – Financial Analytics
MD Financial Management
# T C 1 8
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Welcome
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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 31st 2018, MD was acquired by Scotiabank for $2.59B
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Who am I?Pier Martin
Assistant Vice President - Financial Analytics
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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!
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What is BI and who’s this Tableau?
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Part I: Our DataData Availability & Governance
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Our Data/BI Environment• SQL Server
• Tableau Server 10.5 (core-based)
• 40 developers
• 1,500 interactors
• Over 280 dashboards
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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 emailed spreadsheet
• Service requests for complex data
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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 allLack of faith from front-office was hurting analytics
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What Tableau changedThings 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
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Up-to-the-minute data
coverage
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Live-monitoring of our data
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Driving data discovery through
metadata access
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Part II: Our AnalystsOur Private Trust Business
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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
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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”
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Direct-to-CRM tooltip
links = process
change from 14 clicks to
2 clicks
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Live updates of progress
by case allowing for better client experience
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Part III: Our Client-Facing StaffUsing Data To Drive Performance
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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
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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
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Advisor coaching
tools – allows for continued improvement!
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Embedded visuals mean easy access from intranet
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Next actions and
client follow-up
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Advisor sales against
target – self service at its
best
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Part IV: The Hard QuestionsMoney, Adoption and Culture
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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
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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
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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!
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So.. What did our evolution look like?
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How far we’ve come: 3 years ago
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How far we’ve come: 1 year ago
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How far we’ve come: yesterday
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Please complete the
session survey from the
Session Details screen
in your TC18 app
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