use analytics for decision making: analytics in action€¦ · making it necessary to invest in...

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USE ANALYTICS FOR DECISION MAKING:

ANALYTICS IN ACTION

MUHAMMAD ASIF ABBASI, SAS GLOBAL TECHNOLOGY PRACTICE


ANALYTICS IN ACTION: WHAT AND WHY


WHY? THE SCIENCE OF DATA

Source: KPMG International 2015

To gain deep insight into an individual’s

consumption patterns and choices:

“information about a transaction is more

valuable than the transaction itself”

While customer behaviours drive the need for

innovation, new technologies provide the

tools.


WHY ANALYTICS IN

ACTIONTAKE ADVANTAGE OF NEW TECHNOLOGIES


WHY ANALYTICS IN

ACTIONTAKE ADVANTAGE OF ALL THE INVOLVED ROLES

“Citizen Data Scientist”Data Scientist Superhero


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


DATA IS THE FOUNDATION

Regardless of the

• Amount

• Complexity

• Pace

It is NOT insurmountable


WHAT WE DO WITH DATA: DISCOVERY

• Raw material

• Creativity

• Prototyping


HOW WE OPERATIONALIZE THE RESULTS: DEPLOYMENT

• Finished product

• Governance

• Enterprise-ready


Innovative Data Driven

Approach

Iterative & Exploratory

Analysis

Traditional Approach

Structured & Repeatable

Analysis

SUPPORTS A CHANGE IN PARADIGM

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 ANALYTICS IN

ACTION


SAS ANALYTICS IN ACTION – HOW WE DO IT?


SAS ANALYTICS IN ACTION

Purpose Built

• Support Analytical Methods

Built in Governance

• Auditability, traceability, automation

Productivity

• Iterative, data, models

Data Management for Analytics



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



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


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


Streaming Analytics


BUSINESS APPLICATIONS


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.

BANKING

1 Financial Technology start-up firm


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


Monetize

Security

COMMUNICATIONS TRANSFORMING TO DIGITAL SERVICE PROVIDERS

Customer Journey:

• Omni channel

• Relevant

• Location based

• Contextual

Big Data Analytics:

• Network

Transformation

• Cloud services

IoT:

• Connected life

• Privacy

• Monetize

• Smart

Digital:

• Inclusion

• Social

• Media

• Attribution

• Convergence


RETAIL 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


SO WHY SAS ANALYTICS IN ACTION?


RAPIDLY DEPLOY ANALYTICS

SCALE YOUR DATA ANDANALYTICS

GROW A CULTURE OF INNOVATION

ANALYZE ALL OFYOUR DATA

MODERNIZE YOUR LEGACY BI

STRATEGY

Data

Discovery Deployment


QUESTIONS?

use analytics for decision making: analytics in action€¦ · making it necessary to invest in...

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