smarter data insights - extensia...
TRANSCRIPT
Smarter Data Insights
1Emmanuel Osanga
2
Global Challenges
Factors reshaping
our world
Increasing Stakeholder Pressure Global Megatrends
Global Economic &
Socio-Political Challenges
3
Disruptive Innovation
0
10
20
30
40
50
60
70
80
90
100
1 2 3 4 5 Years
% of Market Share
Disruptive
Technology
Transforms or Destroys Current Market
4
DigitizationData is the new Oil for Business and it has the potential to disrupt existing structures!
6
Digital Landscape in Africa
population
1, 135 billion
Active internet
users
298 million
Active social
media accounts
103 million
Active mobile
social accounts
85 million
Mobile connections
900 million
Sources: Wikipedia, InternetLiveStats,Vkontakte,InternetWorldStats, Facebook, Tencent, LiveInternet, GSMA Intelligence 2014
population
1, 216 billion
Active internet
users
340 million
Active social
media accounts
280 million
Unique Subscribers
>557 million
Active mobile
social accounts
124 million
2
0
1
4
2
0
1
6
7
Digital hotspots – weekly digital activities
62
83
88
30
17
6266
12
44
18
10
58
94
89
38
24
59
73
19
59
22
8
Nigeria Ghana Kenya South Africa
EmailsInstant
messagingSocial
networkingVisit blogs/ forums
Write blog
Uploadcontent
Read news/sport
Console gaming
Device gaming
Streaming music
Internet banking
Source: TNS Connected Life 2015
Digital Activities in Key Markets of Africa
Historically, service providers have been product centric
Product Out
But the demand on them is to be more customer centric …
Customer In
Digital Engagement
Digital Experience
Checking
Product Definition
Accounting
Eligibility
Channels
Master
Mortgage
Product Definition
Accounting
Eligibility
Channels
Master
Credit Card
Product Definition
Accounting
Eligibility
Channels
Master
8
Focus Shift Required
9
Smarter Data Insights How do you transform Data into Smarter Data Insight?
Credit Card Behavior Customer Financials Customer Behavior Credit Bureau Smart Application Location
System Logs Channel Logs Click Stream Data
Customer Complaints Social Media Data Speech-To-Text
Data Process/Models Smarter Data Insights
Stru
ctu
red
Un
stru
ctu
red
Sem
i-St
ruct
ure
d
1. Next Best Action
2. Credit Risk Management
3. Fraud Detection
4. Flexible Product Pricing
5. Customer Acquisition “Unbanked”6. Geo Spatial Analytics7. Opportunities for new services8. Content Recommendation9. Risk Data Aggregation10.Eco System Analytics
10
Next Best Action
11
Credit Risk Management
Enhanced Loan Approval Scoring
DWH BDA
Internal Data External Data
Early Warning System
Tenure
Depth
Value
Transactions
Credit Score
De
cisi
on
Pro
cess Social Profile
Contacts
Title / Position
Employer
LocationMass Segment
Credit Micro Cluster
Real Time Analysis
Inflow & Outflow Patterns
Saving Patterns
Re-paynment performance
Risk Flags
External Scores
Ability to repay, based on income and current debt load
Willingness to repay, usually based on past credit performance
Financial Indicators
Behavioral Indicators
External Indicators
Industry Indicators
Missed or delayed payroll, probablity to over draft, spending pattern, KBB
# missed/unanswered calls, # of agreed pay
Telco & utility bill payment performance
Economic & industry specific signals for SME
Perception Indicators
Brand and media coverage, SNA Score
12
Fraud Management
Ingest and store data
Analyze and extract insights
• Application and DB log data
• Network and System log data
• ATM Logs• GEO-Location• Transaction data• Online & mobile
banking log data
• Flagging anomalous activities in real time
• Separate a typical but legitimate behavior from suspicious activity
Flagging anomalous activities in real time, based on analyzing an incoming transaction against a usages model of “normal” customer behavior.
Smart Insights
13
Flexible Product Pricing
• Customer Profile• Historical pricing data• Product Pricing Data• …
Fle
xib
le
De
po
sit
Pri
cin
g
Clustering customers according to their personalized features. Compare the model output with historical data. Limiting all prices within a maxima and minima in function of the firm goals, and achieving price optimization
Ingest and store data
Analyze and extract insights
Smart Insights
• Understanding the customer behavior, predict the customer’s sensitivity to price reductions
• Target the right price for each customer
• Align with the business objective at any time
14
Unreached Customer Acquisition
• Supermarket purchase data
• Mobile phone usage data
• Utility data (e.g. Electricity )
• SME customer data• SME supplier data
(e.g. eBay)• ...
“Un
ban
ked
”C
ust
om
er
Acq
uis
itio
n Building models for initial credit scoring, income validation and customer segmentation in order to qualify customer potential and target customers for specific campaigns
Ingest and store data
Analyze and extract insights
Smart Insights
• New customer acquisition
• Get as complete as possible view on a potential customer in terms of income, risk profile and needs
• Minimize risk
15
Geo-Spatial Smart Insights
Objectives
• Increase revenue through real-time, location based offers
Solution
• Capture credit card POS and merchant data with event processor
• Determine geo location of POS and nearby wholesale customers
• Leverage real-time decision engine to generate offer to mobile device
16
Opportunities for new Services
Ingest and store data Analyze and extract insights Smart Insights
• Banking Transactions• Credit Card Transactions• External Sources, e.g.
demographic data• …
• Analyze bank / credit card transactions, match these with other sources, provide aggregated views and bundle these with existing POS services
Sell
An
alyt
ic s
vcs
to M
erc
han
ts
Sell
Insi
ghts
To T
hir
d P
arti
es
• Complement traditional services with analytical services for stores / merchants
• Provide retails with detailed customer demographics, spending patterns, etc.
• Banking Transactions• Credit Card Transactions• Social Media Data• …
• Analyze bank / credit card transactions, anonymize the data set, provide aggregated views and sell the data to third parties and institutions
• Make money out of data, e.g. to tourist agency’s: identify and resell insights on where tourists are and where, how and when they are spending money
17
Smarter Insight Strategy
Most companies will struggle to realize benefits from a Big Data initiative, as long
as they don’t have their small data under control – yet, many vendors still try…
Initial Smarter Insight StrategyData & Info.
Scope
Insights
Type
First fix the
basics before
worrying about
Big Data
Customer/Product
Reference &
Transaction
Data
Other Internal
Data
External
Data
Assess
MaturityGovernance
Framework
Most ValueIndustry
Collaboration
18
Recommendations
Support
Legislation
Prioritize
(Start Small)
Data
Strategy
Expert
Assistance
Skills
Development
Digital
Strategy