Loading presentation...

Present Remotely

Send the link below via email or IM

Copy

Present to your audience

Start remote presentation

  • Invited audience members will follow you as you navigate and present
  • People invited to a presentation do not need a Prezi account
  • This link expires 10 minutes after you close the presentation
  • A maximum of 30 users can follow your presentation
  • Learn more about this feature in our knowledge base article

Do you really want to delete this prezi?

Neither you, nor the coeditors you shared it with will be able to recover it again.

DeleteCancel

Digital Analytics Review [Shared]

No description
by

Ali Alatas

on 18 April 2017

Comments (0)

Please log in to add your comment.

Report abuse

Transcript of Digital Analytics Review [Shared]

Digital
April 2017
Analytics
Review
Agenda
Largest CU
Credit Union
Analytics
Summit
Focused Analysts
Conference
Vision, Strategy & Execution
Digital Analytics Initiatives
Digital
Analytics
Roadmap
Q
uestions
Overview 2017 Credit Union Analytics Summit
Digital Analytics Vision, Strategy & Execution
Digital Analytics Initiatives
Roadmap
Opportunities
States
28

Assets
$163B
Members
12M
Audience were wowed
Vision
Strategy
Execution
Measure
Enable business users to fully leverage data to create competitive advantage in the market place
Business Intelligence
Enterprise Data Warehouse
Trusted and Secure Data Access
Advanced Analytics, Machine Learning and AI
Outcome Based Delivery Roadmap
Process
Business driven prioritization
Transparent Data driven decisions
Delivery Excellence w/ Effective Communication
Right tool kit for Business users
Focused EDW Adoption Trainings and Events
Technology
Central Data Platform
Operational Excellence
Agile Development
Modern Technology Stack
People
Hire right talent
Higher accountability
Cross functional collaboration
Metrics-based objectives
Revenue Impact
Operational
Efficiency
Staff and
Member Experience
Value/Cost
Enterprise
Data Warehouse
Data Governance
Business Intelligence
Advanced Analytics
Enterprise Data Warehouse
Built the Modern EDW Foundation in Azure
Released EDW Ver 1.6 and 2.3 that includes data from OSI, Akcelerant, LQB, SFDC, HR, etc.
Data Governance
Formed Data Governance Council
Laid foundation for Business Glossary
Data Classification and Security Model
Business Intelligence
Drive Operational Efficiency
Drive automation using Tableau and Alteryx
Drive deep analysis such as predicting member net-income.
Advance Analytics
Recommendation Engine
Predicting member delinquency
Working on next set of analytics business problems
2014
Digital Analytics Vision and Roadmap
Focus on Cost and Operational Efficiencies
Ground work for BI
2015
Automate Member interactions through Marketing Automation
Ops and Cost efficiencies in Retail, Mortgage, CL, etc.
2018
Drive business value using More sophisticated ML and AI
Expected impact of analysis about $3-5M
2016
Foundation for Enterprise Data Warehouse
Foundation for Trust in the data through data governance
Cost and Ops efficiencies in additional Bus.
2017
Early initiatives in Deep Analysis, ML and AI
e.g. Member Credit Line, Predict Delinquencies, Recommendation Engine, Auto-loan recapture, etc.
Expect impact of analysis about $1-3M
Opportunities
250+ Attendees
From 125+ organizations
Representing ~15% of the industry
63% - Decision Makers
19% - Influencers
40+ Speakers, panelists and judges
1000+ years of experience
94.5% would recommend the Summit to a friend/colleague
28

All these opportunities are being organized into a matrix
Annual Estimated $$ Impact
Complexity High
Complexity Medium
Compexity Low
<$100K
<$100K-$500K
<$3M
<$1M-$3M
<$500K-$1M
3
20
9
2
1
1
20
10
5
1
2
Low
Complexity is low when the opportunity can be realized with no impact to existing processes and people.
Example Matrix
High
Complexity is high when the opportunity can be realized with impact to many people - which requires training them, doing test, etc.
Medium
Complexity is medium when the opportunity can be realized with impact to process but no impact to people
Full transcript