The SpotDy City Pulse™ is built on top of cutting edge big data technologies along with deep data science and AI algorithms, for Financials to deliver right actions at right place at right time. SpotDy BigAITM introduce a completely new model for building operational intelligence, giving companies a competitive edge by put all their data to work to uncover new insights in timely fashion without friction.

1.
​SpotDy ​USE CASES EBOOK
​SpotDy
Top Use Cases for Big Data
Analytics in Financial Services
​ Arvind Rapaka
CEO, SpotDy Inc
Financial firms generate and consume petabytes of data daily. Learn how to apply data
sciences and big data analytics to convert data into insights and gain competitive
advantage in the market.
https://spotdy.com

2.
INTRODUCTION
In digital era of this century, some firms use their limited resources effectively &
efficiently and emerge as winners! How? They generate useful insights by
analysing both structured and unstructured data together irrespective of volume,
velocity and variety of the data.
Processing increasing volumes of data in a timely manner has become a challenge for financial
companies. Traditional BI approaches often fail to capture actionable information at right time due to
inherent limitations. First, it can take a great deal of time to collect, prepare, and analyze all of your
fragmented and often unstructured data. Second, most line­of­business professionals have to rely on
IT to gather the data and organize it in a data warehouse – a prerequisite for using traditional business
intelligence. And often, by the time the data is ready, the business needs have changed or it’s too late
to aid in decision making. Third, processing unstructured data from variety of data sources poses
challenge using traditional data warehousing technologies. Data warehousing applications are mostly
designed to handle structured and limits the ability to analyse the data beyond descriptive analytics.
And finally, traditional BI tech​nologies doesn’t effectively use data science technologies and thus
limiting predictive insights and impact on overall value chain. Data science maps all of the relevant
data, regardless of volume, variety and velocity, into a coherent model to derive meaningful predictive
analytics.
It is clear ­ unless data is getting transformed into impactful decisions in real time, it is a complete
waste of resources and time. Financial firms need to move beyond traditional data warehousing
techniques to be able to generate useful and timely insights
​The numbers tell the story:
● The Big Data market is at $5.1 billion in 2014 and is expected to grow to $32.1 billion by
2015—and to $53.4 billion by 2017.
● We create 2.5 quintillion bytes of data daily; 90% of the data in the world today has been
created in the last two years alone.
● 62% of companies believe that Big Data has significant potential to create competitive
advantage.

3.
Big financial firms are organized as multiple line of businesses (LOB) such as investment banking,
commercial banking, retail banking , asset management and so on with each LOB generating and
storing data in silos. On top the exponential advancement of social media, mobile and cloud in today’s
world and ever­increasing regulatory landscape has made financial firms re­think the way they do
business. ​As ​ the volumes and velocity of financial data has increased, the ability to use that data to
make time­sensitive decisions extremely difficult. Traditional ETL processing and BI have inherent
limitations that impact the ability to produce immediate results.
Financial services companies should harness big data challenge to differentiate from competitors,
increase revenue and profits through building operational intelligence. Harnessing the data in a right
way will help financial firms generate new sources of revenue through delivering smarter services,
improve customer experience.
SpotDy BigAI​TM ​
introduce a completely new model for building operational intelligence, giving
companies a competitive edge by put all their data to work to uncover new insights in timely fashion
without friction. Traditional BI have been limited to descriptive reporting which lacks holistic view of
complex and ever changing environment. SpotDy BigAI​TM ​
real time and prescriptive modelling will let
visualizing information through real­time dashboards helps detect critical events and take real­time
corrective action. Another key aspect of the real time contextual data analytics is moving from
understanding general trends to understanding customers as individuals. Being able to make a
personalized offering increases the success rate of up­sell and cross­sell financial products and
improves customer experience.
Need of Big Data Analytics in Financial Services
Big data usually includes data sets with sizes beyond the ability of commonly used software tools to
capture​, ​curate​, manage, and process data within a tolerable elapsed time. Big data "size" is a
constantly moving target, as of 2012 ranging from a few dozen terabytes to many ​petabytes​ of data.
Big data is a set of techniques and technologies that require new forms of integration to uncover large
hidden values from large datasets that are diverse, complex, and of a massive scale.
As financial firms move from Product­centric organizations to customer­centric firms, business
executives face a herculean task to understand the customer journey to offer better products &
services. Customers interact with companies using multiple channels ­ customer service phone calls,
emails, CRM, transactions, machine data, social media(twitter, facebook), blogs, online, mobile and
generate different types of data. Existing traditional marketing solutions and IT systems are not
equipped with processing petabytes of data in a timely manner to generate insights to help business
executives make informed decisions.
How can SpotDy Big Data Analytics Help?
SpotDy’s Big data analytics is the key to unlock insights from customer data ­ structured and
unstructured. SpotDy’s BigAI platform enables data ingestion from various data sources into Hadoop
platform. Big AI's data science algorithms slice and dice this melting pot of data and organizes the data
into data stores for easy retrieval. SpotDy’s visualization layer comes up with canned dashboards for a
novice user and a savvy user can use the management console to create own dashboards and

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beautiful reports. As executives review these reports, they can directly comment on this data or
collaborate with their employees using SpotDy’s collaboration layer.
SpotDy’s BigAI platform makes it easy to:
● Combine a firm’s proprietary customer data with social media and third party data
● Perform ad hoc­analytics to test hypothesis(what­if scenarios)
● understand customer journey to micro­target campaigns
● Identify customer behavior and sentiments to avoid churn
You can answer questions like:
● How can we acquire more customers will less cost?
● What happens in a customer journey?
● Why are we losing customers?
● How to predict customer churn?
● How can we increase customer conversion rate?
● what product features are mostly used by customers?

5.
Real­World Use Cases
Big data presents financials services with challenges along 3V dimensions and struggling to build
effective marketing, service and retention strategy.
Volume: According to recent research, the amount of data growth that ​financial services​ has to handle
is doubled in the past three years and growing exponentially and much of it coming from new sources
including blogs, social media and networks.
Variety: With increasing social media and mobile usage, ​financial services​ has to handle variety of
data is created from multiple channels such as online, call centre, app stores and social media
including Facebook, Twitter and other social media platforms. It presents huge challenge for ​financial
services​ to build a coherent data model from structured data, semi­structured and unstructured data.
Velocity: The always on digital consumers create change dynamics of data in the speed of light. They
equally demand fast response from ​financial services​ to satisfy their personalized needs in real time.
Rising to the challenges and leveraging on the opportunity in Big data along 3Vs, ​financial services
need to harness using prescriptive analytics to provide deeper insight into intelligence that are hidden
in big data of vast volume and broad variety.
Figure: Harness Big Data using SpotDy BigAI™ Platform

6.
Customer Analytics
Customer Profiling
In financial services understanding the customer is a key for sales and marketing campaigns. Financial
services collect variety of data such as customer transactions, social and online buying habits. Turning
this big data into deeper, data­driven customer insights are critical to tackling challenges like improving
customer conversion rates, personalizing campaigns to increase revenue and lowering customer
acquisition costs
SpotDy BigAI​TM
big data and analytics platform enables ​financial services companies ​analyzing all of
the data available about their customers and group customers into different segments based on their
expectations and banking needs. With accurate and up­to­date customer segmentation, banks and
financial services companies can grow their customer base and increase business.
Benefits include :
● Identify the characteristics to profile and segment customers real time.
● Analyze historical data from both inside and outside (Social, Web etc) the financial
services to understand the customer trends.
● Grouping customers based on demographics, age group, geography and social media
preferences, firms can launch targeted smart campaigns.
● Visualize the segment patterns in real time so that financial services can build marketing
campaigns driven by data.
figure: benefits of ​Customer Analytics

7.
Personalized product offerings
Retail banks have vast amounts of customer data – from Internet data to customer transaction data to
social media data (both inside and outside). The challenge is to figure out how to use this data to
understand for customer trends on individual basis that can support marketing campaigns and
personalized product and service offerings.
SpotDy BigAI​TM
big data and analytics platform enables ​financial services companies t​o target new
product and service offerings to the right customers through deep analyzing customer buying habits,
what channels the customer listens to, and who the key influencers are in timely manner.
Benefits include :
● Predicting what new products customers will purchase from the bank, and when
● Creating targeted marketing campaigns to segmented customers
● Identify customer risk profile, demographics, existing buying patterns and match these
criteria to existing card offerings and market right card products.
● Visualize the campaign tracking so that financial services can dynamically optimize the
campaigns driven by data.
figure: benefits of ​personalization services

8.
Customer Acquisition & Customer Retention
Customer acquisition and retention is one of the major problems for financial firms. ​Churn is
expensive. Customer loyalty is key to revenue growth. ​When financial products are not differentiated in
B2C context, customer could easily switch products. ​Understanding who your customers and
prospective customers are while keeping existing customers in cost effective way is important.
SpotDy BigAI​TM​
big data and analytics platform enables financial services to analyze customer
behaviour ​from both inside and outside (Social, Web etc) ​ to identify retention and acquisition policies
on individual basis.
Key Benefits include :
● Identify trends, changes in customer behavior, buying patterns and try to reduce customer
churn
● Identify potential customers from proprietary data and social data using analytics to
identify potential targets
● Visualize acquisition and retention trends and facets so that financial services can
dynamically optimize policies driven by data.
figure: benefits of Acquisition & Customer Retention

9.
New Products & Services
Innovation with introduction of new products and services is essential for survival in this global
competitive markets. Understanding customer preferences, customer behavior, customer usage of
existing products and services helps firms to come up with new products & services. Combining
in­house data with social data and marketing data using SpotDy’s analytics platform can generate
insights using for firms
SpotDy BigAI​TM​
big data and analytics platform enables financial services to understand existing
products and services better from customer standpoint ​using both inside and outside (Social, Web
etc) ​ to identify new product and services opportunities
Key Benefits include :
● Identify existing products and services usage patterns, most heavily used pages, use
cases and customer pain points
● Identify potential scenarios to streamline existing products to provide better customer
experience
● Come up with new product and service ideas from data insights
figure: benefits of product innovation

10.
Brand Analytics
A brand is sum of all the feelings, thoughts, and recognitions ­ positive and negative that people in the
the target audience have about a company , a product or a service. Financial companies spend
millions of dollars annually to elevate perception of brand in people’s minds. Often times, its not easy
of qualitatively measure the metrics associated with the brand to identify the brand value without
proper analytical tools.
SpotDy BigAI​TM
big data and analytics platform enables financial services to analyze the company’s
structured data and social media(unstructured data) measure brand analytics and thus zoom in to
effectiveness of brand promotion activities. with proper data insights, these financial companies can
effectively use the marketing budget and invest resources in the right channels to increase brand
awareness.
Benefits include:
● measure key brand analytics metrics such as new vs returning users, visitor loyalty &
recency, brand lift(likelihood of target action),
● Identify and measure traffic from discussion forums/communities and understand how
much brand is talked about in general forums
● measure search share to understand how many people would prefer your brand when
compared to competitors, effectiveness of brand promotion activities when compared to
competitor traffic
figure: benefits of Brand Analytics

11.
SpotDy BigAI​TM ​
Framework for Big Data Analytics
With the explosion of volume, velocity and variety of data, traditional approaches for collecting and
processing data have inherent limitations that impact the ability to make informed and timely decisions.
SpotDy BigAI™ Platform products introduces a completely new model for developers and analytics
using deep data science, giving companies a competitive edge by uncovering new insights in real time.
With SpotDy BigAI™, enterprises don't need data scientists and big data teams, instead they need a
platform which empowers to build smart analytics. SpotDy BigAI™ has built­in machine learning
algorithms to distill actionable insights from very large datasets. By taking the analyse­first approach,
SpotDy BigAI™ eliminates the need to spend millions on storage and eschews the time constraints to
store, process and serve data.
SpotDy BigAI™ Web Services platform

12.
Features of BigAI™ WebServices™
Data Integration
SpotDy BigAI™ Connectors is designed for efficiently to
load data into BigAI™ platform. BigAI™ Connectors
supports fetching data from various sources like social,
structure, JDBC, Web, Object stores like S3 and
integrate with BigAI platform as easy as following a
wizard. Say goodbye to ETL and defined schemas.
Data Processing
SpotDy BigAI™ is world’s first big data science platform.
SpotDy BigAI™ offers wide variety data science
solutions and powers applications and business process
to make effective decisions in real time.
SpotDy BigAI™ batch, stream and query engines is
ideal for building operational intelligence directly into
your applications or offline analytics. This flexibility and
ease of use makes SpotDy BigAI™ the ideal platform for
building big data applications.
Big Data Visualization
SpotDy BigAI™ Dynamic Visualization provides you with
a blank HTML5 canvas to design beautiful infographics
or reports that will automatically update every time the
data is updated. The built­in collaboration platform
enables you to share charts on social platforms, email
and messaging. Even better your visualizations are
consumable on any device.
API Endpoint
API Endpoint will bridge the chasm between data and
delivery. API Endpoint is a purpose­built platform that
provides everything to manage data and deliver right to
your applications. API Endpoint provide services to
measure the success of your API program with
end­to­end analytics.

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Collaboration made simple
With SpotDy BigAI™ messaging, you can get more done
with less effort. Conversations are in one place, so
everything is actionable and transparent. SpotDy AI™
messaging also lets you share dashboards or part of
dashboards on social networks and to colleagues right
from the platform so you can get more done with less
effort.
Discovery Tools
SpotDy BigAI™ answers your questions visually.
Architected from the ground up for use in distributed
environments, ​SpotDy BigAI™​ gives you the ability to
full­text search. You can perform data queries that
results in beautiful visualization and changes
dynamically in real­time for on­the­fly data analysis.
​Benefits of BigAI™ WebServices™