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Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
USE ANALYTİCS FOR DECİSİON MAKİNG:
ANALYTİCS İN ACTİON
CRİSTİNA CONTİ, SAS GLOBAL ANALYTİCS PRACTİCE
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
ANALYTİCS İN ACTİON: WHAT İS İT AND WHY
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHY ANALYTİCS İN
ACTİONTAKE ADVANTAGE OF THE SCİENCE OF DATA
Source: KPMG International 2015
Players need to gain deep insight into an
individual’s consumption patterns and
choices. Ownership of data is becoming a
characteristic of the dominant player:
“information about a transaction is more
valuable than the transaction itself”
While customer behaviours drive the need for
innovation, new technologies provide the
tools.
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHY ANALYTİCS İN
ACTİONTAKE ADVANTAGE OF NEW TECHNOLOGİES
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHY ANALYTİCS İN
ACTİONTAKE ADVANTAGE OF ALL THE İNVOLVED ROLES
To bring value and service in an analytical
culture where the actors are the “Citizen Data
Scientist”
Data Scientist Superheroe
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CAN YOU RAPIDLYDEPLOY ANALYTICS?
CAN YOU SCALE YOUR DATA ANDANALYTICS?
DO YOU GROW A CULTURE OF INNOVATION?
CAN YOU ANALYZE ALL OF YOUR
DATA?
CAN YOU MODERNIZE YOUR LEGACY BI
STRATEGY?
why
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
DATA İS THE FOUNDATİON
Regardless of the
• Amount
• Complexity
• Pace
It is NOT insurmountable
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
WHAT WE DO WİTH DATA: DISCOVERY
• Raw material
• Creativity
• Prototyping
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
HOW WE OPERATİONALİZE THE RESULTS: DEPLOYMENT
• Finished product
• Governance
• Enterprise-ready
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Innovative Data Driven
Approach
Iterative & Exploratory
Analysis
Traditional Approach
Structured & Repeatable
Analysis
SUPPORTS A CHANGE İN PARADİGM
03
02
01Business users determine what question to ask
ALUE
01
02
03
IT structures the data to answer that question
Monthly sales reportsProfitability analysisCustomer surveys…
IT delivers a platform to enable creative discovery
Business users explore what questions could be asked
Brand sentimentProduct strategyMaximum asset utilization..
V
SAS ANALYTİCS İN
ACTİON
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS ANALYTİCS İN ACTİON – HOW WE DO İT?
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS ANALYTİCS İN ACTİON
Unlimited Data Volumes
• Embrace the potential
Speed
• The ability to try things fast,
prototype, test hypothesis
Democratized Analytics
• Cater to the citizen data scientist
Approachable Analytics
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS ANALYTİCS İN ACTİON
Purpose Built
• Support Analytical Methods
Built in Governance
• Auditability, traceability, automation
Productivity
• Iterative, data, models
Data Management for Analytics
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SAS ANALYTİCS İN ACTİON
Decisions at Scale
Automate
• Build, monitor, and evaluate models
using modern methodologies
Empowerment
• Enable decision makers everywhere
backed by powerful analytics
Confidence
• Ensure analytic solutions are
repeatable, reliable, timely, and
relevant across the enterprise
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Take Real-time Action
• Decisive reaction to complex patterns
and events as they happen
Apply Multi-Phase Analytics
• Advanced analytics and multi-phase
processing
Focus on Relevant Data
• Continuous loading of relevant
streaming data
SAS ANALYTİCS İN ACTİON
Streaming Analytics
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
HOW TO REALLY ACT UPON İT: BUSİNESS
APPLİCATİONS
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CustomerInsights
Personalized, next-best communications show customers the bank cares about their financial lives
Data, data and more data
Internal & external data
of many forms must be
must be combined to
analyze customers,
risks, fraudsters,
cybercriminals
Customer Experience
Improvements here are key to profitable growth by increasing share-of-wallet and retention across all areas of banking
Industry
Disruption
FinTechs1 seek to disintermediate banks from customers; banks must retool & leverage trusted provider status with customers
Regulatory Compliance
Risk management; fraud & financial crimes are both board-level compliance imperatives. Non-compliance is not an option.
BANKİNG
1 Financial Technology start-up firm
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
CustomerInsights
Find the most profitable growth, take the next best actions and maximize wallet share
Data, data and more data
Connectivity of devices
has led to an age of IoT
making it necessary to
invest in social media,
mobile, analytics and
cloud computing
Customer Experience
Profitability and retention is very much dependent on what happens after the sale.
New Entrants
New competition has emerged from non-core insurance products such as Google, Amazon as they enter the insurance arena.
Regulatory intervention
Insurers now have to comply with higher number of regulations leading to improved transparency.
New
Realities
INSURANCE
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
Monetize
Security
COMMUNİCATİONS TRANSFORMİNG TO DİGİTAL SERVİCE PROVİDERS
Customer Journey:
• Omni channel
• Relevant
• Location based
• Contextual
Big Data Analytics:
• Network
Transformation
• SDN/NFV/ZOOM
• Cloud services
IoT:
• Connected life
• Privacy
• Monetize
• Smart
Digital:
• Inclusion
• Social
• Media
• Attribution
• Convergence
Copyr i g ht © 2015, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RETAİL KNOW YOUR CUSTOMERS AT 360°!
• Who are my customers?
• How are my customers
different from one another?
• What similarities do my
customers share?
• What/when/where do my
customers buy?
• How do customers engage
with me?
• How do customers feel about
my brand/product?
• Customer Segmentation & Customer Profiling
• Data Mining, Visualization, Scenario Analysis
• Market Basket & Behavior Analysis
• Social Media and Sentiment Analysis
• Online/Web Analytics
Know
Copyr i g ht © 2014, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
SO WHY SAS ANALYTİCS İN ACTİON?
Copyr i g ht © 2016, SAS Ins t i tu t e Inc . A l l r ights reser ve d .
RAPIDLY DEPLOY ANALYTICS
SCALE YOUR DATA ANDANALYTICS
GROW A CULTURE OF INNOVATION
ANALYZE ALL OFYOUR DATA
MODERNIZE YOUR LEGACY BI
STRATEGY
Data
Discovery Deployment