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The next frontier for economic
and financial analysis and financial analysis Presented by
Bob Chua
CEO – Pulse Group
OVERVIEW
- Pulse focuses on providing Data Analytics
around the 4P’s (Product, Price, Place and
Promotion)
- Pulsate will focus on Predictive Analytics around
the 3V’s (Volume, Variety and Velocity).
OVERVIEW
BIG DATA = Volume, Variety and Velocity.
OVERVIEW
- The financial services industry, like many others
is being flooded with data.
- About 80% of financial data is unstructured.
- Finding ways to take advantage of new,
unstructured data is the key for financial servicesunstructured data is the key for financial services
providers to gain competitive advantages by
improving consumer insight, dealing with risk,
generating customer centric financial offerings,
meeting regulatory challenges and improving
operational efficiency.
OVERVIEW
- In order to get the very best from Big Data,
financial services firms are realizing the benefits
of carrying out Big Data analysis much faster in
an industry where speed is important in gaining a
competitive advantage.
WHERE ARE WE?
WHERE DOES ONE START?
PRIORITIES
BIG DATA IN A BOARDROOM
AREAS OF OPPORTUNITIES
BREAKING IT DOWN
- Identification of Risk and Uncertainty
BREAKING IT DOWN
- Predictive Analytics
BREAKING IT DOWN
- Data Visualisation
• Describe your product/services
CASE STUDIES
Pulsate study historical data Pulsate study historical data
of spending habits by
various target segments
and correlates that to
various card benefits and
trade-offsServing relevant ad’s and
promotions to individual
level
A client requires assistance
to build a new series of
credit cards to target new
segments
The new cards are then
catered to different prime
target audiences with
higher probability of
success
• Describe your product/services
CASE STUDIES
A client is facing a PR
dilemma and require swift
Pulsate study customer
sentiment on both internal
and external structured and
un-structured data
dilemma and require swift
damage control
The PR agency implements
damage control activities Pulsate measure
effectiveness of strategy
CASE STUDIES
- Data In Motion
CASE STUDIES
CASE STUDIES
CASE STUDIES
CASE STUDIES
WHERE AND HOW DOES ONE START?
VERTICALS
OVERVIEW
- What do I want to achieve?
- What data-sets do we have to work with?
- Do we have the Internal expertise?
- Who would be the likely stakeholders and - Who would be the likely stakeholders and
beneficiaries?
- How will we measure ROI?
- What technology considerations/constraints
would we need to consider?
- Are there any comparables?
THANK [email protected]