VALUE DRIVERS FOR FINANCIAL INSTITUTIONS

REGION WISE INVESTMENT PATTERN ACROSS THE GLOBE

Source : Datameer

Operational analytics

Fraud and compliance

Product andService Innovation

To Unlock Insights

48%

21%

12%

10%

- Tarrill Baker, Chief Data Officer, Global Banking and Markets at HSBC

The market is moving from product to client centric. Applying big data technology across our data and combining it with unstructured data is a

key enabler of being able to make that switch

HOW ARE FINANCIAL INSTITUTIONS USING ANALYTICS?

Financial Services institutions are leading the Big Data march with a

IDC Predicts that the global analytics market isexpected to be valued at

Analytics will define the difference between the

losers and winners

- Tim McGuire, a McKinsey director“Analytics will define the difference between the losers and winners”Analytics will define the difference between the

losers and winners

“The market is moving from product to client centric. Applying big data technology across our data and combining it with unstructured data is a key enabler of being able to make that switch”

The market is moving from product to client centric. Applying big data technology across our data and combining it with unstructured data is a

key enabler of being able to make that switch

HOW ANALYTICS IS DRIVING THE NEXT BIG LEAP

IN FINANCIAL SERVICES

Financial institutions are embarking on a data driven journey

While North America is surging ahead in terms of their big data investment, Europe, the Middle East and Africa aren’t too far behind, followed by APAC and Latin America

North America

Latin America

APAC

EuropeThe Middle EastAfrica

Source : Datameer

THE ANALYTICS PLATFORM MARKET

Gartner predicts that the market for business intelligence platforms in Asia Pacific is expected to be more than $1.6 billion by 2017

The global Hadoop market is projected to reach $50.2 billion by 2020

Information advantage was identified as a key priority area amongst the top six priorities for retail banks to win in 2020. However, lack of preparedness by banks poses a serious concern.

Executives in the financial institutions consider the following as obstacles for real time decision making :

Processing data swiftly

Integrating various data streams to form a single picture

Accessing the necessary data streams

40%

38%

22%

KEY AREAS OF BIG DATA THAT POSE CHALLENGES

Source : Gridgrain

GAPS IN ANALYTICS-READINESS

* According to a study conducted by Quartetfs, across 60 industry participants who hold senior IT positions at global institutions

47% - Volume of Data37% - Velocity

17% - Variety

BIG DATA

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Risk Analysis

Trading

Post-Trade Processing

Security Vulnerabilities (Cyber theft and fraud)

42%

31%

22%

5%

Source : Gridgrain