Digital Analyst Team - Analytics -Big Data

1. Credentials
Data-Driven Decision-Making

2. WHO ARE WE?
COMPANY OVERVIEW

3. Who Are We - Overview
• Headquartered in Chicago
• Deep analytical capabilities having implemented hundreds of
analytics projects
• Serve Financial, Retail, CPG, Telecom, Media & Digital Media
and Pharma industries
• Developed a suite of custom analytical products for franchises,
paid search, twitter, forecasting and customer segmentation.
• Expert team of data scientists, business analysts, solution
architects and programmers
• Strong technology team with deep Big Data architecture and
implementation experience and capabilities
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4. Who Are We
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VISION
To be the world leader in advanced analytics and enabling technology
implementation.
MISSION
To deliver world class advanced analytics and statistical models, and to
implement enabling technology to institutionalize data-driven decision
making for our clients.

5. WHAT WE DO
PRODUCT OVERVIEW

6. What We Do - Horizontals
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Marketing
Analytics
Operational
Analytics
Supply Chain
Analytics
Risk Analytics
•Inventory Optimization
•Demand Analytics
•Supply Chain Metrics
•Sourcing
•Align Order & Equipment Schedules
•Order fulfillment
•Network Efficiency
•Device/Machine Fault Prediction
•Credit Risk Modeling
•Forensic analytics
•Collections and Recovery
•Health Risk Assessment
•Marketing ROI
•Customer Experience
•Customer Profitability
•New Product Development
•Digital Marketing

7. What We Do - Technology
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8. Our Solution - Big Data
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Why Hadoop?
Hadoop is an open source framework which stores vast amount of
structured, semi-structured, unstructured data and process in a distributed
environment across cluster of computers/nodes using program models or
process build in its eco-systems like Hive, Hbase, Pig and advanced
analytical tools – R, Python and Spark.

9. Our Solution - Finance
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Credit Scoring Fraud Detection
Credit Card Spend
Analysis
Customer
Segmentation
Social Media
Analytics
Churn Modeling
Score to improve
customer acquisition and
reduce default rate to
improve profitability
Sophisticated
technologies to spot
patterns and detect
fraudulent transactions.
Derive insights in
consumer behavior
and credit card
spend pattern.
Divide customers into
groups that are similar in
specific ways to be
targeted.
Analyze the large
volumes of data
available on social
media to improve
product and
service
Measure of the number
of individuals or items
moving out of a
collective group over a
specific period of time.
Big Data
Our product solution is customer focused while reducing costs associated with frauds, and business and
consumer risks.

10. Our Solutions - T&E, Casino, CPG and
Retail
Our product solution is customer focused while reducing costs associated with retails, and business and
consumer risks.
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Sales Promotion
Effectiveness
POS Data Mining Market Basket
Analysis
Price Elasticity
Customer
Segmentation
Customer Loyalty
Analytics
Big Data
Evaluate all the promotion
elements of your shopper
marketing to understand their
effect on business
performance and ROI.
Sales Promotion
Effectiveness
POS Data Mining
Market Basket
Analysis Price Elasticity Customer Loyalty
Analytics
Social Media
AnalyticsChurn Modelling
Customer
Segmentation
Conducting experiments
to determine which offer
leads to the most
profitable sales quickly,
such as bundling offers.
Understand the product’s
relationship to the other item
in the basket, to target
customers more accurately.
Measure of the relationship
between variations in price and
the impact that has on demand.
Deliver comprehensive insights
on the lifetime value of
different customer segments
and drive customer retention
for our clients.
Analyze the large volumes of
data available on social media
to improve product and
service.
Measure of the number of
individuals or items moving
out of a collective group over a
specific period of time.
Divide customers into
groups that are similar
in specific ways
relevant to marketing.

11. What We Do - Telecom
Our product solution is customer focused while reducing costs associated with technical faults, and
business and consumer risks.
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Sales Promotion
Effectiveness
POS Data Mining Market Basket
Analysis
Price Elasticity
Customer
Segmentation
Customer Loyalty
Analytics
Big Data
Improve the performance of the
network with existing resources
to solve potential problems and
to identify solutions.
Network
Optimization
Device Fault
Analytics
Service Truck
Routing
Customer
Segmentation ARPU Analytics
Social Media
Analytics
Churn Modelling
Call Center Analytics
Advance predictions or
instantaneous alerts of faults
based on the alarm patterns.
Calculates the capacity you
can handle on your network
trunks and an opportunity
cost based on destinations.
Analyze the large volumes of
data available on social media
to improve product and
service.
Measure of the number of
individuals or items moving
out of a collective group over a
specific period of time.
Call Centre Analytics
analyze multi channel
management such as
Speech, mails, chats,
outgoing bills, etc.
Divide customers into groups
that are similar in specific ways
relevant to marketing.
Analytics used in the
telecommunications sector to
survey the amount of
revenue generated per cell-
phone user or unit.

12. What We Do - Pharmaceuticals
Our product solution is customer focused while reducing costs associated with Pharma, and business
and consumer risks.
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Pharmacovigilance
Epidemics Modelling Therapeutic Drug
Analysis
Prescription
Predictive Analytics
Social Media
Analytics
Sales Territory
Optimization
The practice of monitoring
the effects of medical
drugs after they have been
licensed for use to
enhance patient care &
safety.
To study the
mechanisms by which
diseases spread and
evaluate strategies to
control an epidemic.
A process of maintaining &
monitoring the drug level in
the bloodstream within an
effective range.
Analyze consumers' p
rescription drug histories
to prescribe medications
that work for them.
Analyze the large volumes
of data available on social
media to improve product
and service
To keep your
organization's sales
territory as geographically
compact as while
balancing on the variables
you've chosen..
Big Data

13. What We Do - Big Data Architecture
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Enterprise data warehouse Visualization
FINANCE
CPG &
Retail
TELECOM
DIGITAL MEDIA
MARKETING
SQOOP
Flume
Data Data Source
Industry
Logs
$
Retail
H.C
IVR ECH
Social
Media
RDBMS
DN
ERP
CRM
A. V File,
Excel, csv
Social Logs
Ingestion Layer
We enable institutionalizing of analytics through technology implementation

14. Our Solution - Dashboard
• Dashboard is easy to read, often single page, real-time user interface, showing a
graphical presentation of the current status (snapshot) and historical trends.
• Dashboard indicates key performances to enable instantaneous and informed decisions
to be made at a glance.
• Dashboards for analytical purposes often include more context, comparisons, and
history, along with subtler performance evaluators.
• Dashboards have become the front-end and first line of access to business intelligence
and often the best way to gain insight into an organization’s operations and
performance.
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15. Our Solution - Dashboard
Analytical dashboards use sophisticated models, what-if analysis and pivots to identify patterns
and opportunities, and to help align strategic goals with performance management initiatives.
These dashboards are often used by business analysts, experts, who are responsible for
outputting reports for general consumption. In short, analytical dashboards are meant to help an
organization establish targets based on insights into historical data.
Operational dashboards manage intra-daily business processes – frequently changing and
current performance metrics or key performance indicators (KPI). Overall, operational
dashboards are best suited to departments that require low latency data feeds and a continual
view into what is happening within the business unit.
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16. Dashboards - Sample Screenshots
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17. What We Do - Sample Dashboard
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18. HOW DO WE DO?
RESULTS ORIENTED

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Our Approach - Analytical Projects
03. GET
Cleanse and transform
data to get it ready for
analysis
02. SELECT
Determine the
analytics type required
– Descriptive,
Prescriptive
04. EXPLORE
Conduct descriptive data
analysis to familiarize
and understand patterns.
06. VALIDATE
Run training data
against test data to
validate and refine
models
07. RECOMMEND
Recommend actions /
tactics to improve
performance and
financials
05. DEVELOP
Develop
appropriate
statistical models
01. DEFINE
Understand business
problem and define
hypotheses

20. Our Approach - Analytical
Framework
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Prescriptive Analytics
Predictive Analytics
Diagnostic Analytics
Descriptive
Analytics What happened?
Why did it happen?
How can we make it
happen?
What will happen?
Customer
Insight
Analytical
Framework
Value
Difficulty
Our product solution is customer focused while reducing costs associated with your
business and consumer risks.

21. Thank you
CONTACT
Babu Monie
babu@digitalanalystteam.com
847-530-3624
Chicago USA / Chennai IND