We introduce “The 10 Most Admired Analytics Companies to Watch in 2018”, in order to assist businesses to choose their right analytics companies. Assessing the scenario in versatile perceptions, our magazine has brought light onto the companies, who have flaunted excellence in providing technologically advanced analytics solutions. This list showcases the analytics companies which are creating a better ‘Analytics’ world.

1. December 2018
Equifax
AnalyticsEmpowering Business and Consumers with Incisive
Analytics and Pragmatic Business Acumen
T
H
E
10MOST ADMIRED
ANALYTICS
COMPANIES
TO WATCH IN 2018
Professional’s Stance
Building a Better
Future of Organization
with Analytics
KM Nanaiah
Managing Director
& Country Leader

4. Editorial
ata is “new air” as ubiquitous as air itself. In the world of corporate
Dbusiness ‘data’ is everywhere. Business insights derived from data are
becoming vital for survival and success in the business world.
Nowadays data volumes are increasing and it has become more complex to
optimize digital business decisions. This makes it difficult to determine the most
relevant and actionable finding. The number of variables driving an outcome
based action is growing to the point where exploring every possible pattern and
determining the most relevant and actionable findings is very challenging for the
organizations.
Augmented analytics is an approach that automates insights using machine
learning and natural-language generation, marks the next wave of disruption in
the data and analytics market. It is based on the use of machine learning
automation to augment human intelligence and contextual awareness across the
entire data and analytics workflow. It enables business users and citizen data
scientists to automatically find, visualize and narrate relevant findings, such as
correlations, exceptions, clusters, and predictions.
Organizations should plan to adopt augmented analytics as platform capabilities
mature. Augmented analytics will play important role in delivering unbiased
decisions and impartial contextual awareness. From interacting with data to
analysis to take relevant action on insights; it will transform business in an
amazing way.
Augmented analytics is making it easier for expert data scientists and less-
skilled citizen data scientists to build an advanced descriptive, predictive and
prescriptive model. It is helping expert data scientists to focus on specialized
problems and on embedding enterprise-grade models into applications. With the
help of Augmented Analytics, organizations will spend less time exploring data
and more time acting on the most relevant insights with less bias than is the case
with manual approaches.
Augmented Analytics:
Entering Into a New
Era of Analytics
Abhijeet kakde
Abhijeet kakde

5. SME-SMO Executives Swati, Manoj
Circulation Manager Tanaji
Digital Marketing Manager Prashant, Rahul
Technical Specialist Amar, Pratiksha
Business Development Manager Akansha Garewal
Co-designer Sapana Shinde
Marketing Manager Dhruv Apte
Art & Picture Editor Rahul Kavnekar
Art & Design Head Amol Kamble
Associate Designer Poonam, Shweta
Copyright © 2018 Insights Success Media and Technology Pvt. Ltd., All rights reserved. The content and images used in this magazine should not be reproduced or
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December, 2018
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We are also available on :
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Sales Executives Snehalata, Tarun, Asif
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6. The Founder Talk
Building a Better
Future of Organization
with Analytics
32
Cover Story
Equifax Analytics
Empowering Business and
Consumers with Incisive
Analytics and Pragmatic
Business Acumen
08
Business Archive
Stepping towards
Better Business
World with analytics
22
‘Data’ Preneurship
Moving towards
Data-Driven
Entrepreneurship
28
Articles
Tech-trends
The New Layer of
Trends in Data Analytics
36
CXO
Expert Insight
Knee Deep in Data
18

7. Decisive Analytical Systems
Analyzing Customer's Interaction
through Deep Analytics
26
Videonetics
A Pioneer in Visual Computing
Platform powered by AI & Deep
Learning Framework
42
Finarb Analytics
Data Science Consulting
Firm Providing end-to-end
Data Solutions
40
Artivatic Data Labs
Building Intelligent
Systems for Automates
Decision-Making
16
E2E Research
Prominent Industry Leaders
focusing on Research Services,
Analytics and Technology Solution
34
26
16
34
40
42

8. he amount of big data being collected worldwide is increasing exponentially. Fields like data science,
Tartificial intelligence, data intelligence are transforming businesses in an amazing way. On account of
globalization and rise in competition, it has become vital to lookout for expert data professionals to survive
and grow in the market. As India is witnessing a tremendous growth in analytics, what can be a better way than
recognizing the industry stalwarts who are contributing distinctively in analytics?
In this edition, we introduce “The 10 Most Admired Analytics Companies to Watch in 2018”, in order to assist
businesses to choose their right analytics companies. Assessing the scenario in versatile perceptions, our magazine
has brought light onto the companies, who have flaunted excellence in providing technologically advanced analytics
solutions. This list showcases the analytics companies which are creating a better ‘Analytics’ world.
In this issue, we have specially featured Equifax Analytics as cover story. Equifax is analytics firm which combines
robust data, analytics and advanced technology to provide actionable insights to businesses to make better business
decisions.
Finarb Analytics Consulting is a data science consulting firm providing end-to-end analytics-based services to
clients across the globe. Videonetics Technology is a visual computing platform development company. Artivatic
Data Labs is an AI Enterprise Tech Platform built on Genomic Science, Psychology and Neuroscience Capabilities
to automate the decision-making, prediction, personalization and recommendation in real time. Decisive Analytical
Systems is a Mar-Tech company based in Bangalore, India. E2E Research Services plays a leading role in providing
powerful data analytics, timely data insights, and unbiased science-based solutions. Object Technology Solutions
India offers big data enablement via partnerships and disruptive solutions with big data and analytics as a service.
Transorg Analytics provides fast, flexible and cost effective analytics solutions that solve complex business
problems. Bristlecone offers supply chain, procurement and analytics solutions that produce higher performing and
more profitable environments. Drive Analytics is an artificial intelligence solution company that excels in semantic
analysis of visual data (images and videos), and blending in state of art analytics to solve real-world problems for
businesses.
Our in-house editors have come up with some adroitly written articles such as Moving towards Data-Driven
Entrepreneurship, The New Layer of Trends in Data Analytics, and Stepping towards Better Business World
with analytics.
We have included article like Building a Better Future of Organization with Analytics written by Ashutosh who
is the Founder of datapotential.com and Aselector.com, also we have included article- Knee Deep in Data written by
Saurabh Moody who is the Founder & CEO of Realbox Data Analytics.
It’s time to flip the pages and enjoy analytical experience with a feeling of reading pleasure!
Analytics: Quickest Way
to Get Biggest Impact
ANALYTICSCompanies TO WATCH IN 2018
ADMIRED
THE 10MOST

10. ANALYTICSCompanies TO WATCH IN 2018
ADMIRED
THE 10MOST
COVER STORY
KM Nanaiah
Managing Director
& Country Leader

11. EquifaxEquifax
AnalyticsAnalytics
Equifax
Analytics
Empowering Business and Consumers
with Incisive Analytics and Pragmatic
Business Acumen

12. Technological innovations are changing the way
that organizations do business. We are living in a
data-driven society where numerous tools are
available to track customer habits, preferences, and
purchases. With recent technological advancements, it is
possible to examine large amounts of data to uncover
hidden patterns, correlations and other insights.
Analytics helps to get timely insights for making
decisions about fleeting opportunities, precise answers
for challenging problems and uncover new growth
opportunities. Today, business analytics plays a vital role
in all areas of business. Globalization has led to a rise in
competition and it has become necessary for companies
to be customer-centric, predictive and highly efficient in
order to survive and grow in the market. As the
workplaces become more tech-driven and fast-paced, the
importance and role of analytics companies are
increasing day by day.
Equifax Analytics Pvt. Ltd. (EA), a wholly owned
subsidiary of Equifax Inc., is one such organization
which is driving the profit of the clients through incisive
analytics and pragmatic business acumen. It is a global
information solutions company that uses the unique data,
innovative analytics & technology and industry expertise
to power organizations as well as individuals around the
world. It transforms knowledge into insights that help
their clients to make more informed business and
personal decisions.
KM Nanaiah is the Managing Director of Equifax
Credit Information Services Private Limited (ECIS,
an affiliate company of Equifax Inc.,) and Country
Leader of India & MEA region of Equifax’s business.
He is responsible for providing leadership and oversight
for both the Bureau (ECIS) and Analytics businesses
(EA) in India. He has proven skills of having built a
high-performance organization, setting up processes,
implementing controls and introducing innovative
solutions to create success patterns and improve
operational efficiency.
Promises better Business through Innovative
Analytics and Technology
Equifax is a differentiated provider of high-velocity
analytics and business intelligence solutions that help
enterprises globally to measure monitor and manage
their business levers effectively. The company works
with clients across various industries such as Banking,
Insurance, Telecommunication, and Retail and constantly
strives to add value through sharing cross-domain best
practices. The company has been much appreciated for
its ability to blend incisive analytics with the pragmatic
business acumen to deliver cost-effective solutions.
Headquartered in Atlanta, Equifax operates across
twenty-four countries in North America, Central, and
South America, Europe, and the Asia Pacific region. It is
a member of Standard & Poor& (S&P) 500® Index and
its common stock is traded on the New York Stock
Exchange (NYSE) under the symbol EFX. With more
than 117 years of experience, Equifax employs 11,200
employees worldwide.
‘‘
Every day, around
the globe, we are
powering the world
with knowledge
‘‘
Our data assets
along with technology
enable our customer
to make better
business decisions

13. Equifax operates in India through Equifax Credit
Information Services Private Limited (ECIS) and
Equifax Analytics Pvt Ltd (EA). The credit bureau,
ECIS, a joint venture between Equifax Inc., USA and six
leading Indian financial institutions started operations in
India in 2010. Over the last eight years, the credit bureau
has grown to thousands of members which includes
banks, NBFC’s, microfinance companies, and insurers.
Many of these members provide data on repayment
information on millions of Indian consumers.
In 2014, Equifax further grew its footprint in India
through an acquisition of an analytics firm. Equifax
Analytics Private Ltd. is Equifax’s fully owned analytics
entity in India, which delivers unparalleled customized
solutions that enrich both the performance of businesses
and the lives of consumers. Backed by its global
expertise, EA’s goal is to assist lending institutions to
manage risk efficiently through a combination of data
and robust analytics. The company's unique insights help
lending institutions to make better business and credit
decisions. It uses global proprietary tools which are
customized to meet requirements of Indian market. With
a combination of differentiated data, the expertise in
advanced analytics, the state of the art industry solutions,
and the leading-edge proprietary technology, EA has the
unique capability to offer best-in-class offerings to its
clients.
Achieving Milestones
Over the last decade, Equifax has developed the best and
most unique data in the world to help businesses make
the right decisions for their customers. Coupled with
leading analytics capabilities, the company delivers the
knowledge that provides better insights, greater
flexibility, and faster time to market. At the same time, it
also helps consumers by providing their own credit
information report, credit score and tools they need to
make better financial decisions.
Equifax is the group of creative and talented problem
solvers motivated by helping others to achieve their
goals. They are individuals who embrace technology and
the processes that have a history of positively impacting
the world.
Equifax is recognized in Top 100 American Banker
FinTech Forward list (2015-2016). It is among Top
Technology Provider on the FinTech 100 list
(2004-2016). The company is InformationWeek Elite
100 Winner (2014-2015). It is recognized by Atlanta
Journal-Constitution as Top Workplace (2013-2017) to
Work. It is named as World’s 100 Most Innovative
Companies (2015-2017) by Forbes’.
Powering the World with Knowledge
Equifax Analytics is one of a few Indian analytics
companies which is focused on serving Indian financial
services instead of focusing on serving international
customers. With the associated company, the credit
bureau, the company can bring industry-wide data and
insights to Indian customers.
‘‘
‘‘We provide better
insights, greater
exibility, and
faster time to market
Our Scalable analytics
and benchmarking
solutions have
delivered meaningful
and measurable results

14. Our understanding of
data and the capability
of advanced analytics
is enabling us to
provide the insights
to help customers make
data-based decisions
The firm’s analytics and benchmarking solutions help
organizations to understand where they are today, and
empower them to take control of their future which is
based on meaningful information. The company has
flexible technology to analyze, predict and understand
the impact of evolving trends related to employment,
fraud, strategic markets, and credit. It uses knowledge to
create new opportunities that enrich customer lifetime
value, employee engagement, and profitability. The
company’s scalable analytics and benchmarking
solutions have delivered meaningful, measurable results.
Customer-based Philosophy
Businesses are built around customers. It is important to
identify the right potential of the customer for successful
business. With its deep knowledge and ability to use
credit bureau data, the company is providing the right
services to the right customers. The biggest difference
between Equifax and other companies is that the
company has access to credit bureau data after getting
requisite authorizations from the respective financial
institution. Together along with credit bureau, Equifax is
dedicated to providing unique analytical services to
banking and financial services. It has its unique data
asset to make better decisions. The company is
appreciated for the way in which it understands the
business problem to give real solutions with help of
analytics.
The Journey towards Flourishing Future
Analytics is one of the fastest growing industries in the
world. Analytics is not just about the statistics and
mathematics. It’s about understanding the business
aspects with help of Technology. The Company is
moving forward with an aim to bring cutting-edge
analytics techniques like Machine Learning, Big Data,
and Artificial Intelligence to customers.
With cutting-edge technology, the Equifax will continue
to solve financial industry challenges like New to credit,
Fraud, digital lending, and employee verification. The
company is dedicated to aggregate new alternate data
sets to provide new insights to customers in coming
years.
‘‘
‘‘

16. Read it FirstRead it First
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18. ARTIVATIC DATA LABS:
Building Intelligent Systems for Automated
Decision-Making
We are the pioneers
of new category
of products, services
and data systems
based on ingestible
computing
eadquartered in Bengaluru, India, Artivatic Data
HLabs is a young, dynamic company which builds,
licenses and sells its proprietary human-brain like
AI systems. It is an end-to-end AI infrastructure platform
built on deep-tech, machine learning technologies with
in-depth analogy of genomic science, psychology and
neuroscience. It enables BFSI (Banking, Financial services
and Insurance) and Healthcare sector to have in-depth multi
source data-focused consumer risk profiling, credit risk
scoring, recommendation & personalization, automated
underwriting & decisions, health & disease prediction,
claims processing, fraud detection, digital data-based risk
scoring and document digitization.
Artivatic’s sheer determination has helped it to develop
more than twenty tech-based modules ranging from text
extraction and sentiment to prediction and automated
decision-making.
Meet the Vibrant Leader
Layak Singh is the Founder and CEO of Artivatic Data
Labs. His entrepreneurial journey started during his
graduation days at IIT Karagpur. Layak has been a serial
entrepreneur who founded two product startups earlier. This
past experience along with a vision to enable enterprises to
integrate with human like decision engine, motivated him to
be the cornerstone of Artivatic. He invested all his funds
attained from his previous startup in forming the framework
of the company by building team, products and even doing
sales. Today, Layak’s leadership skills have assisted
Artivatic to develop into a thirty member team with more
than ten client pilots. He has been the driving force in
raising investment and generating more than fifty leads
respectively.
About Artivatic
Describing the uniqueness of the company, Layak asserts,
“Our Pilots have demonstrated more than 50% of
efficiency, 90% reduction in turnaround time, 40% better
fraud identification, 70% less cost reduction, more than
60% consumer engagement, more than 40% better risk
delinquencies identification and intelligence in near real
time.” Over the years, Team, Branding, Access to corporate
clients, and Content strategies for inbound lead generation
have proved to be the key assets for Artivatic which helped
“
“
Layak Singh
Founder & CEO
December 2018|16

19. it to climb the success stairways. The company focuses on
developing various tools and solutions for industries
empowering easy and seamless implementation.
Customer On-boarding – The company gears the digital
on-boarding process by digitizing all KYC, financial
statements, medical, invoice, ITR, diagnosis, proposal
forms, claim forms etc. in real-time with document
verification and photo matching. This reduces the customer
onboarding process time up to 90%. Also, the process
became simpler up to 60% along with cost reduction up to
40%.
360 Consumer Profiling with Internal and External data –
This solution develops consumer/product behaviour,
interests, financial prediction and more to get in-depth
consumer insights for recommendation, personalization and
prediction.
Risk and Fraud Detection – Here, patterns are built for
future digital data-focused risk and fraud detection based on
historical fraud input. Anonymous patterns are developed
based on new data, profiling to enable intelligent risk and
fraud analysis.
Underwriting – Artivatic uses machine learning (ML) based
predictive underwriting to create a smarter rule engine and
provide automated underwriting process for financial
institutions. It enabled better underwriting by 40% using the
current engine.
Automated Decision-Making – Enables enterprises to have
capability of automating the loan, insurance policy, credit
card or claims amount approval, counter, rejection with
little human intervention.
Claims Management – The company offers ML and
computer vision based claims intelligence system for
insurance businesses to have end-to-end claims
management system and reduces turnaround time up to
90%. It also offers real-time claims processing for insurance
providers.
OCR (Optical Character Recognition) or ICR (Intelligent
Character Recognition) – The company provides
documentation-as-a-service for KYC, financial documents,
medical documents, diagnosis reports, invoice, proposal,
claims, contract and more.
Image Recognition– Artivatic delivers damage detection for
vehicle claims, signature matching for automated payment,
video-based KYC matching and more.
Text Extraction – Using NLP (Neuro-linguistic
programming), the company collects text extraction from
structured or un-structured data or documents and assists
organizations in securing their data.
Financial Documents Reader – The company offers bank,
credit, annual report, financial document reading & analysis
using technology for financial assessment, anomaly
detection and fraud assessment.
IoT device-based Health Prediction – Artivatic plays a
pivotal role in device-based health profiling for disease
prediction and corporate health insurance.
Revenue Cycle Management System – The company takes
necessary strides for prior authorization, denial prediction
and contract modelling for the physician in order to meet
evidence-based claims processing and care management.
A Comprehensive Vision
Hiring right talent is the great challenge as finding the talent
with right skills is hard to find. Other biggest challenge is
getting payment from B2B clients as they take few quarters
to make payment which makes difficult for B2B startups
like Artivatic to grow extensively. Investors do not invest in
lack of revenue is another challenge instead of good sales
pipeline is another major challenge. Furthermore, R & D is
a challenge because of the lack of funds.
On the other hand, there is enormous amount of data
available and hence it gets easier to develop new innovative
products and technologies. This is also unlocking enormous
doors of opportunities which are creating new category of
products and services like never before.
Future Prospects
The future would turn out to be more data-centric, where
AI-enabled simple processes would transform the corporate
world by catching every wave of the business analytics. By
2025, there will be more than 25 Billion connected devices,
autonomous cars, automated virtual assistants, robotic
focused warehouse or hazardous work culture, real-time
diagnosis and better healthcare, education, transportation
and agriculture.
Artivatic soon will launch DIY (Do It Yourself) or SaaS
platform with self-decision powering engine. The company
will foray in to other insurance sectors like property,
agriculture, appliances, retail and corporate with life/health
sciences. It plans to expand its territory to SEA, APAC,
USA, European countries while setting up sales and support
team. Its target is US $5-10M ARR (accounting rate of
return) by the next year with an R&D team of more than
100 members. The company takes pride in saying that filing
more patents will be its new area of focus in the near
future.
December 2018| 17

20. KNEE DEEP IN
DATA
Data analytics is such an alien term for so many of us. As times are changing
this term too is evolving at a staggering rate while we are still trying to follow
what it means in the simplest of terms.
So let’s break it down to most basic explanation. Data analytics is the study of data
that comprises of information sets that may vary from business to business, domain to
domain. For e.g., hospitality has guests and their preference records that may be used
to determine, how people like to stay in a certain demography or any airport that
would have records of people and airlines that could help determine preferred
destinations or airlines.
Similarly, there are vast records of data present in various fields. Most of this data has
been generated over past few years and today’s digital means of procuring services
and information is contributing to the explosive pace of growth in the data volume. In
this scenario Data Science – the ability that enables one to extract actionable insights
or knowledge from large and complex data sets – is essential.
We need to know that while there is a rich history of companies using data to their
competitive advantage, the disproportionate beneficiaries of big data and data science
have been internet technologies like social media, search, and e-commerce. While
innovative data science applications can transform the future, the lack of it might just
slow down growth and even deprive people of a quickly evolving internet world.
If we think of governments as organizations, they generate more data than most large
companies do today. This data was for a long time sorted manually and the action and
impacts were studied and solutions were implemented way later than they should
have. Automation of the industry lead way to data being generated and stored
automatically with little manual help and the way data is dealt with has changed over
December 2018|18

21. the years, thereby increasing the demand for data
scientists. There you would hear an often used term
Business Intelligence which basically is technology
assisted strategies used by enterprises for the data
analysis of business information.
In a time like ours where businesses and consumer ratio
has narrowed down drastically. Business intelligence is
the key to unlock next opportunity. There is a gap of flow
of information in real time when it comes to hospitality
industry and profiling of customer becomes impossible,
resulting in miss-targeted ads and late response to the
on-going sales crisis. The hospitality market in India is
going to grow to more than $ 78 billion by the end of
2018 and a technology to cope up with this doesn’t exist
at the required level.
There is an opportunity here for everyone to figure out
what are those few things that clicks to your consumers –
this was earlier possible for online businesses but we are
bringing it to offline world too, which is where it is
required the most right now. Startups are at the right place
to implement this at very early stage and growth hack into
success. And, since not everyone has the expertise and
resources and even volume of data to get independent
analysts, startups are being able to assist these businesses
more economically.
ABOUT
THE AUTHOR
Saurabh Moody is the
Founder & CEO of
Realbox Data Analytics.
He is a Data Scientist,
Growth Hacker,
Architect, Business
Intelligence, Data Mining
& Digital Branding
expert, Developer and a
certied Scrum Master
with experience in
designing data models
and analytics platforms.
He is a serial
entrepreneur in the
technology domain. In
2004, he worked with
Microsoft where he
designed and
implemented the core
platform framework for
Microsoft Passport.
Expert Insight
Saurabh Moody
Founder & CEO
December 2018| 19

24. Stepping towards Better Business World with
ANALYTICS
December 2018|22

25. There is an old saying, “if you can’t measure what matters, what you measure matters a big deal”.
This is often expressed as; if you can’t measure something, you can’t possibly get better at it.
Analytics is an elegant demonstration of the number-driven world. Big data is the foundation of
all megatrends that are happening today, from social media, e-commerce, banking & finance to cloud,
gaming, and many other sectors. It is the tool that can infuse life into any failing business. We are living
in a data-driven society where numerous tools are available to track customer habits, preferences, and
purchases. These data help to get timely insights for making decisions about fleeting opportunities,
precise answers for challenging problems and uncover new growth opportunities.
Business Archive
December 2018| 23

26. On account of globalization and rise in competition, it has
become necessary for companies to be customer-centric,
predictive and highly efficient in order to survive and grow
in the market. Many companies are using data as the core
enabler of their business. Following are the reasons why
analytics play a pivotal role in building a better future of
corporation.
Data Gives Customers What they want
The best way to be successful in any business is to provide
customers with what they want. Consumers want unique
experiences of product and services, and they want to be
catered on an individual level. For example, Netflix uses
machine-learning algorithms to determine what each of its
subscribers will probably want to watch next. Making
recommendations on this scale may be not possible for
startups but it is possible to harness the principle in some
way. The database of customers and their past purchases
can provide information that can use to predict what these
same buyers might be interested in purchasing next.
Transforming Numerous Sectors
Analytics in operation started with a simple question: it is
possible to reduce fuel consumption and time by finding
faster routes for drivers? With the help of tracking sensors
on vehicles, it is possible to optimize fuel efficiency in
operations as it gathers the data of different routes. Goods
and manufacturing companies can access product
performance with greater precision than ever before.
In the finance sector, big data used to integrate disparate
information such as what kind of product consumer buy and
how much consumer spends. This helps to access a
consumer’s creditworthiness or credit risk. Big data is
equally powerful in health care, where numerous wearable
and health-monitoring devices generate massive amounts of
new information about the effects and outcomes of medical
treatments. Analytics is playing important role in every
business aspects of different sectors.
Data-Driven Entrepreneurship
Although every entrepreneur has different goals; they all
operate under same principle-to transform ideas into a
successful business. With the rise of big data and machine
learning, the current approach towards entrepreneurship has
shifted significantly over recent years. Entrepreneurs use
this data as the foundation of new business ventures. On
account of digital India campaign, there is a huge
opportunity for data-driven models for entrepreneurs. Easy
access to mobile internet makes data faster and cheaper
than ever before. A large amount of data is generated by
mobile companies which operate across entertainment,
shopping, banking, traveling, and among many others.
Data Stays with Time
Change is the only constant thing in the world. What
pleased customers today may not tomorrow, and the only
way to adapt this change is harnessing data. The potential of
data goes beyond just making good decisions. It can
reshape any business and led the organization to
tremendous growth.
Driving Profit of Organizations
Applying big data principles to pricing can be a major boon
to both small and large businesses. Over-pricing is an
obvious concern, but even low pricing too can affect the
profit of any organization. With the help of analytics is it
possible to determine the optimum pricing ranges for
products.
With the right business impact analysis tool, it is possible
for businesses to run ‘simulations’ of numerous potential
scenarios. More the data, more is detailed and reliable the
resulting impact analysis will be. With an impact analysis,
the organization will have a much easier time devising and
implementing effective contingency plans for any of the
most likely or most common disasters that befall business.
Data for Better Governance
Quality data if analyzed properly, it can be helpful for
programmatic decision making, proactive policy revisions
and efficient delivery of schemes. Comptroller and Auditor
General (CAG) launched the Centre for Data Management
and analytics to analyses relevant data for auditing process.
The main purpose is to create a data-rich environment in
union and state government to build capacity in audit and
account department.
Recent developments in data analytics have ignited a
transformation in every business function of the
organization. The credit for this change in mindset goes to
entrepreneurs, startups, government, and industry. They
have shown a strong desire to take India towards data-
driven models. The major challenge for organizations is the
selection of appropriate analytics tools that apply to
relevant business problems. Though more has to be done,
there is a definite hunger to support data-driven
entrepreneurship and data analytics cycle to transform data
into actions.
December 2018|24

28. Decisive Analytical Systems:
Analyzing Customer’s Interaction
through Deep Analytics
We help business
in unveiling the
hidden profits
very day it seems that technology is pushing
Ethe boundaries of what analytics can deliver to
organization. Technological advancements like
Artificial Intelligence, Machine Learning, Neuro-
Linguistic Programming, and Deep Learning are
shaping the future of organization. Big data, by itself,
can’t change the world. But by applying the insights
gleaned through the analysis of big data, companies can
transform the way the world does business. Every year
bring a ‘new’ marketing movement, but the new
marketers know that this time it’s different. It’s not just
the rules that have changed, it’s the customers
themselves.
It is important for the companies to move from the
traditional to the digital realm where accessibility,
engagement and customization are key factor to drive
adoption in the digital experience. With the mission to
democratize business data so that every business user
has access to insights, create performance and
productivity opportunities through artificial intelligence
and automation, Plumb5 is an integrated data platform
developed by Decisive Analytical Systems. The
company is dedicated to solve marketing challenges
permanently with the help of customer data and
facilitating seamless automation of business processes
to drive customer centric engagement automation.
Dynamic Leader of Plumb5
With over decades of experience in leadership roles,
Vijay Chander is the Co-founder and CEO at
Plumb5. Vijay’s entrepreneurial journey comes with
extensive experience in managing various business
“
“
Vijay Chander
Founder & CEO
December 2018|26

29. initiatives. He has given his fruitful contribution to
various global enterprises like Xerox and ICI. He is a
certified Lean Six Sigma black belt professional with a
rich exposure to growth, management, and strategy &
execution. He has been instrumental in setting the
strategy and direction, building & leading the executive
team from the front. He is dedicated to modelling and
setting the company’s culture, values, and behaviour.
Platform for Real Time Accurate Insights
Decisive Analytical Systems is a AI harnessed Mar-Tech
company based in Bangalore, India. In the year 2010, a
team of marketing and technology professionals
recognised that data would be the new currency for
business. Any business which establishes more than one
channel of communication to its customers will need a
unified campaign eco-system. Plumb5 is a true unified
marketing platform capable of tracking all customer
interactions across touch points and engage intelligently
in real-time.
Over the years, the company had successfully built a
product which enabled customers in Retail, BFSI,
FMCG, Real Estate, Education & other verticals to unify
data, analyse, design and execute real-time marketing
campaigns. The company’s platform has been pivotal for
SMEs and emerging enterprises in increasing top-line
and bottom-line revenue including adherence to data
compliance. The company’s team is dedicated to provide
best-in-class services to the clients.
Benefiting Clients through AI based Real Time
Marketing Engagement
Plumb5 is a future-proof full stack marketing analytics
and engagement platform, in terms of completeness of
marketing suite, ability to execute complex multi-
channel campaigns with seamless integration and deliver
machine learning capabilities.
The Power of Plumb5 lies in quick implementation and
lower TCO, along with powerful and futuristic features.
The simplicity of licensing is well received by many
customers and hence many long term contracts.
Future Roadmap
The company is progressively moving forward by
developing innovative solutions for the clients. The
company sees itself ahead of its competitors to cater to
the new well-informed marketing organizations.
Plumb5 team is heavily investing in AI and Machine
Learning capabilities to make the platform one of the
most preferred one for the customers. The Roadmap is
well mapped with current market realities and future
prospects in advertising, deep learning, marketing
insights, compliances and campaign optimisation.
December 2018| 27

30. Every day it seems that the
technology is pushing the
boundaries of what
entrepreneurship can deliver to the
society. Recent developments in
technology are shaping the future of
the entrepreneurship. The current
approach towards entrepreneurship in
India has gone through a great change.
We are living in a data-driven society
where numerous tools are available to
track customer habits, preferences, and
purchases. Today, entrepreneurs have
access to this entire customer's data.
This data is used as the foundation of
new business ventures. It is interesting
to imagine the power that
entrepreneurs are going to have when
so many different sorts of data are
available.
In India, data science domain has a
great potential and opportunity to drive
change in the society. As per the
alarming trend, India is in need of as
many as 45,000 data scientists at this
moment. Institute of product leadership
recently hosted data science summit
MOVING TOWARDS
DATA-DRIVEN
ENTREPRENEURSHIP
December 2018|28

31. ‘Data’ preneurship
December 2018| 29

32. 2018 in Bangalore. The motto of this summit was to skill
professionals to become a data-driven entrepreneur and
create newer entrepreneurship models. Every professional
who is engaged in customer and business-driven innovation
should become a data-driven entrepreneur for better
business growth.
Social Problems Signifying an Opportunity
In India, social problems have huge potential to encourage
the data-driven entrepreneurship. Recognition of problems
in a correct manner is the most important factor for data-
driven models. Traffic management shows a great
opportunity for data-driven models as data generated in this
sector is immense. The placement of sensors on traffic
signals and roads to monitor the vehicle density at given
time creates a large amount of data and it is possible to
control traffic signal through IoT by using this data system.
Many startups in India are eager to collaborate with the
government to resolve traffic problems and emerge with
innovative ideas.
Other sectors which could get maximum benefits from data-
driven models are Healthcare and Agriculture. Data-driven
entrepreneurship has the ability to transform the healthcare
sector. Healthcare sector has the large amount of medical
data which is helpful to predict and prevent the disease,
reduce medical cost and improve personal healthcare. In
this sector, numerous organizations are using this data to
personalize and increase the healthcare of their patients.
This data is gathered in the form of digital data as a result
patients are using personal digital health tracking devices to
take care of their health.
Apart from above sectors, agriculture could also get
maximum benefit from data-driven models. Data-driven
models help to resolve issues such as determine the correct
market price for crops, weather conditions & correct
method to cultivate crops.
Data-Driven Entrepreneurship in India
Introduction of new data centers by Microsoft Azure and
Amazon Web Services (AWS) are accepted by traditional
companies. Various companies in India are using data to
gather insights of the organization. The access to this data
helps organization to maximize security with minimum
governance.
Due to digital India campaign, there is a huge opportunity
for data-driven models. Easy access to mobile internet
makes data faster and cheaper than ever before. A large
amount of data is generated by mobile companies which
operate across entertainment, shopping, banking, and
traveling etc.
Recently, Uber launched 'Movement' in India to support
data-driven urban planning in four cities. These cities
include Delhi, Mumbai, Bangalore, and Hyderabad. The
Uber tool uses data from millions of trips to help planners
and peoples to analyze transportation patterns and make a
wise investment in a future infrastructure project. This tool
can also help people to discover patterns, rush hours, road
closures and the impact of events to help optimize travel
time.
Use of Data for Better Governance
Quality data if analyzed properly, it can be helpful for
programmatic decision making, proactive policy revisions
and efficient delivery of schemes. Comptroller and Auditor
General (CAG) launched Centre for Data Management and
analytics to analyses relevant data for auditing process. The
main purpose is to create a data-rich environment in union
and state government to build capacity in audit and account
department.
The Indian government is working on an open data policy
under the department of information and technology to
encourage a sharing of information between various
departments and across ministries. In many states,
municipal corporations have tie-ups with entrepreneurs to
standardize city data. The government encouraged startups
and technology companies which offer a data-driven model.
These data-driven models will help the government to
increase efficiency in its working.
With the improvement in the entrepreneurship system,
many things have changed. The credit for this change in
mindset goes to entrepreneurs, startups, government, and
industry. They have shown a strong desire to take India
towards data-driven models. Data-driven entrepreneurship
is taking an extraordinary shape in India. Though more has
to be done, there is a definite hunger to support data-driven
entrepreneurship. This is the best time to support
entrepreneurs, startups, government, and industries to build
a data-driven entrepreneurship.
December 2018|30

34. n today’s connected world with data overload, it is
Ibecoming increasingly difficult to differentiate your
product in the eyes of the customer. With the customers
having a large number of options available literally on their
fingertips with their mobile screens, the choices are endless.
The race is going to be won by companies who can capture
the mind space of the consumer and when the consumer
feels such a personalized connection with a product that he
doesn’t make a small effort required to find other options.
So how does an organization go about creating this
personalized connection with each unique customer caring
for their unique preferences? A marketing drive however
closely targeted to your customer segment cannot target
each customer’s preferences uniquely. The future is going to
be decided by hyper-personalization and better targeting
that most large organizations are trying to do today.
The other part of the puzzle is employee satisfaction. The
old adage that happy employees make happy customers
cannot be underestimated. Organisations need to balance
hyper-personalized customer marketing and ensure
employee satisfaction at the same time.
The effectiveness of the future strategy is based on the
decisions taken by the organization today. The decisions are
based on the information available to the management and
the foresight of the decision makers. The better the quality
of information, lesser is the need of the intelligence of the
management team. This is where the difference lies - Better
the information, better the decisions. But, how do we assess
the quality of information? Is there a yardstick that helps us
decide when the information is good enough to take a
decision that impacts the company’s fortunes in the future?
The answer is clear and present – data Analytics.
Taken to an extreme, if the information is analyzed to such
an extent that it can provide a clear course of action, the
requirement of someone taking an intelligent decision
reduces and the decision can be automated. This is where
artificial intelligence and machine learning comes in. At the
heart of it, however, is better data analytics and higher
processing power to allow the data to be analyzed to such
an extent that the human decision-making process is no
longer required.
AI, Machine learning, NLP, data modeling, statistical
testing, and predictive analytics work together to allow the
computers to achieve a reliability of data that can be used to
make automated decisions. In the case of data science and
data analytics, by using the right combination of these
technologies, companies can automate sophisticated aspects
of their responsibilities that previously had to be completed
manually. This clearly leads to better decision making and
therefore better future outcomes for the organization.
In my opinion, I would outline the decision-making
structure in the following steps:
1. Get valid data – ensure data is accurate and with as
little measurement error as possible. Big data, social
media data, system generated data for customer usage
patterns and other data are all put together and
summarised. This could be achieved by survey
applications that support statistical tests and sample
sizes. This is especially useful in getting customer
preference data – in the absence of asking customers
directly, all your data would be inward focused and
assumptions built on assumptions. Be sure to conduct
surveys and find out what the customer or employee is
telling you directly, in their own words.
2. Data Analytics – text analytics and advanced modeling
of this data could throw up interesting observations.
These observations need to be validated for statistical
significance and sample size. While not a recent
buzzword, 'statistically significant difference’ is
possibly at the heart of most data-driven analytics. This
enables decision-making as the preference difference is
established. To take an example, if we are measuring
customer preference for product A Vs B, if the data
shows that customers have a statistically valid
preference for Product A, it is a no-brainer to go with
December 2018|32

35. the development of product A. It would be superfluous and
unnecessary to have a human make this decision if the data
is clearly showing the preference.
Similarly, on the employee’s front, Companies around
the world are adopting people analytics. In today's
world, any company can replicate your product,
marketing strategy, business model or the services you
offer. While customer data science can keep you ahead
of the curve on the customer side, people analytics can
ensure that your employees are satisfied and helping
build a great successful company –people could be your
greatest competitive advantage.
Organizations today have lots of data about their
employees including educational qualification, age,
demographics, salary, tenure, satisfaction, ratings,
performance, and much more. However, few
organizations have a structured way of putting all
of this information together to understand their
employees. People analytics helps answer the
following critical questions – what is the ideal
profile for recruitment? What makes the
employees motivated to perform well?
What will help retain the employees best?
There are of course a host of other data points like
what qualities in managers make the organization more
effective, how to get teams to collaborate better and how
work-life balance is affecting employee performance.
Without going into training and Organisation
development side of it, even though data analytics helps
in both of those as well, the role of data science in
people analytics cannot be underestimated.
Organizations must do their own internal research to find
our their own reality and truth. It’s easy for us to read
research reports and studies from consulting firms and
assume that what we read applies to us. If a study says
customers prefer more email communication, then it
means we should do more communication for our
product too. External research is broad-based and
sometimes questionable in the first place.
Recommendations from external research should not be
applied directly to your organization without a
validation. Each organization and product is unique and
therefore each organization needs to find out the
preferences of their stakeholders in their unique
environment. It is imperative to conduct your own
research, do your own data analytics and derive your
own conclusion to take the right decisions.
Fortune favors the prepared – be prepared with data
analytics! Good luck.
Ashutosh is the Founder of
datapotential.com (an advanced
statistical online survey platform)
and Aselector.com (an Articial
Intelligence based knowledge
management platform). He has over
two decades of experience with
multinational companies in
leadership roles in quality, data
analytics, transformation and
program management. He is a
speaker and thought leader on AI
and statistical methods.
The Founder Talk
December 2018| 33

36. E2E Research:
Prominent Industry Leaders focusing on
Research Services, Analytics and Technology Solutions
We understand the business
problem and can provide
science based solutions.
We are changing fast basis
the need of the business and
can ensure solutions
within a good time
2E Research is a leading company offerings services
Eglobally, which mainly specializes in Primary and
Business Research, Business Analytics along with
developing technology solutions. As we live in a digital age,
which is filled with complex layers of data, the company
unravels and helps publish the diverse stories inherent in data
streams. Its data-centric approach ensures highly customized
report and consumable insights while addressing industry,
business, and market objectives. The key recommendations and
deliverables ensure that every client is positioned for making
effective decisions which are related to the products,
development, marketing and design.
To keep the E2E Research engine running, the company
deploys high-end analytics i.e. Gap, Hypothesis Matrix,
Univarate, and Multivariate complemented by the seasoned
business and research analysts. E2E Research is all about ROI
and designs that interprets, evaluates, and assess research
reports, which are focused on identifying the business gaps,
areas of strengths, improvement and growth.
The Visionary Leaders
A determined personality, Yogesh Rana is the Founder and
COO of E2E Research. He has an experience of working in the
market research industry and is skilled in analytics solutions,
customer relationship manage, online, research and
personalized data management solutions.
His Key Responsibilities involves:
• Streamline office processes. Devised strategies for improving
teamwork and communication among members of team
projects. Using research and analytical skills to uncover and
correct inefficiencies within the company.
• Bring unique vision to the company.
• Ensuring latest technology and Innovation.
Satender Kumar is the Director and Head of Research and
Analytics of E2E Research. He has an in-depth research
experience across multiple industry segments and specializes in
advanced data analytics and business research
His Key Responsibilities involves:
• Configure analytical solutions for the Research and Business
objectives
“
“
Yogesh Rana
Founder & COO
Satender Kumar
Director & Head
of Research
and Analytics
December 2018|34

37. • Engage with clients to work on all kinds of data
assessment needs
• Lead business analytics, reporting team across multiple
accounts
• Build the robust and agile system to create data solutions
Contribution to the Analytics Industry
E2E believes that data in the present times has become the
key differentiator for any business to surpass competition
and stay ahead on the path of growth and business
sustainability. It provides full expertise to solve the business
problems using the data and analytics solutions. Be it
structured data analytics or unstructured, the company has
delivered consumable solutions to the FMCG, Technology,
Healthcare and BFSI clients and many others. E2E
Research has a great learning experience using almost all
analytics tools and techniques to support any kind of data
analysis at the client's end.
Challenges and Opportunities: The Turning Points
The business and industries around the world are evolving
by the day. Change is the name of the game. Traditional
methods are not enough to meet the pace of the change.
Here are some of the challenges as well as reasons for
opportunities
• Scaling up with a creative resources
• Imparting knowledge both the traditional methods and the
new creative methods
• Implementing and delivering with a creative approach and
using technology for accuracy and speed
• Ability to meet the timelines and manage the costs, since
there is no time for experimentation
• Maintaining speed for learning and sounding meaningful
in the competitive world
Biggest Assets of the Organization
Scaling up of Resources and Speed of Learning -The ability
to provide creative solutions requires knowledge and
cultivates fast learning techniques. The skillset with
knowledge on the latest techniques like data sciences,
business analytics has paved the way for providing value
added solutions for the clients.
Culture - Learning, being creative and solution oriented is
the culture across the company.
Technology and Innovation -Technology has been the key
reason behind E2E’s business success. E2E has the courage
to design, develop and implement new technology.
A Triangle of Benefits
Clients: E2E Research tell the clients that if they prioritize
good work, exceptional service, new ideas, and a long-term
relationship, then the company and the client can be a
perfect team.
Our Work Speaks: The loud impact is created by
continuously executing at a high level. It shows that E2E
Research has a well-established process, manages accounts,
and also has the brain power to think through and
effectively communicate the strategy.
Meeting Market Needs: Being a great agency partner
requires a team with a perpetual transformation mindset.
E2E Research invests in the future; it's ahead of what's next
in creativity
Present and Future Times of the Industry
Running a successful business today is a challenge and to
stay relevant with the changing technology is the prime
concern now. With the advent of big data and analytics,
cutting edge techniques should be adopted by the industry
to stay ahead of the competition. As the data is increasing
day-by-day to find the problematic areas and the related
solutions analytics play a bigger role. Implementing
Analytics, finding solutions to the problems identified and
having a technology platform eases the overall business.
Exploring New Directions in the Journey
E2E Research plans to develop specific data solution in the
following areas:
Developing product with Internet of things (IoT)
E2E Research develops the analytical solution on this key
emerging technology trends. It has got a huge potential to
make the products connected and flag the preventive checks
upfront.
Enforcing Artificial Intelligence- E2E Research focuses to
perform repeatable, redundant tasks and to process large
amount of data not to avoid human interaction, but to enrich
it. The company believes that AI plays a crucial role across
all areas.
Bringing the Machine learning and Predictive Technology
to Untapped Areas- E2E Research is working for traditional
clients who have a lot of internal data but are clueless, so as
to bring the power of data to solve their business concern.
More Innovative and Open for New Ideas (Technology)
-Innovation is like a routine in technology. In business
operations, the edge of a technology revolution can change
everything and being open to change can bring creativity,
which will evolve the customers and companies.
December 2018| 35

38. DATAANALYTICS
THE NEW LAYER OF TRENDS IN
With the world being digitized,
people will always question what
is latest in the technology and how
its data will affect the market. They are always
found discussing the top headlines like, AI is
everywhere, and will change everything or
enterprises are moving their infrastructure
towards the cloud and many much more.
Consequently, it can be easily said that
together with mobile, cloud, social, and
analytics, technologies have emerged as core
business disruptors in this digital age. Data and
analytics have become the center of gravity as
companies are shifting from being data
generating to data-powered organizations. As
technology advances, industries will see that
how they have evolved from last year and will
look towards future trends and approaches that
are reshaping the analytics arena.
December 2018|36

39. Tech-trends
December 2018| 37

40. Data Hierarchies
The concept of data hierarchies can be designed in the
terms of data being stored and its relation with the
frequency of access. Corporations use two types of
hierarchies i.e. hot and cold.
Hot data refers to the data, which is used more often and
sometime is rerouted through very fast storage devices like
solid-state drives (SSD), or caches. On the contrary, cold
data is routed through the older hard disk drives.
Analytics will perceive the new trends in which the
hierarchy might stratify data according to its used
frequencies and in the design of the business models or just
for straight analysis. Another area where it might be defined
is by the trustworthiness of the data. Hierarchies will be
important for the categorization of the tool and
technologies. For example, BI (business intelligence) and
Big Data analytics tool on transactional side, NoSQL, and
Data Lakes on the repository side. With the ever increase in
the technology choices, companies will need a set of
hierarchies in the data analytics to dictate its best practices
in operations deployment.
Governance Tools
Data governance technologies are finally starting to get
some respect. One of the biggest compliance around the
governance data is the catalogs and their ability to make
data sets in Data Lakes more organized and more
discoverable. Data discovery tools look through databases,
Data Lakes, and present report on relationship between
them. These tools make the Data Lake itself more useable
and Data Lake investment more efficient. Data catalogs and
discovery tools will increase the popularity as companies
seek better return on investment made in prior years,
guiding further the governance wave.
Cloud Data Tools
The more a company’s data is maintained in a cloud
platform’s storage layer, the more the company will work
on that data on that same cloud platform. This includes data
preparation, analytics, model training, and predictive
modeling on high-end GPU virtual machines. The cloud
battle between the companies has now become the data
storage battle.
Proliferation of Metadata Management
As the data deluge keeps on increasing, the governments
around the world are imposing new regulations. Within the
organizations, the team has now much more access to the
data. Consequently, this all adds up to the importance of
data quality, integration, metadata management and data
governance. The extracted data with meaningful insights
and increased optional efficiency will require integrated and
flexible tools that allow users to quickly prepare, analyze,
ingest and govern data. Metadata management will be
essential in supporting data governance, data management’s
demands, and regulatory compliance in enterprise data
environments.
Predictive Analytics
Data quality is always a concern when new data projects
move into the production. Critics predict that organizations
will turn to machine learning algorithms to enhance the data
quality anomaly detection. By using the historical patterns,
corporations can detect anomalies that might have gone
unnoticed and might have found much later after the data
have been breached or through manual diagnostics. As
technologies like IoT are advancing, the data is becoming
difficult to manage. A full transparency into the business’s
assets will play a crucial role for successful analytics
initiatives addressing data governance and privacy needs.
Visualization Models
Critics reveal that in this year, the goal of every big
corporation adopting data strategy would be to achieve true
streaming analytics i.e. the ability to process and analyses a
data set, during its creation process. This would help
companies in gaining insights into the correct datasets
without having to replicate them. Currently, this suggests
that corporations have to make compromise with the size of
the dataset or tolerate for a delay. However, by the
approaching years, firms will get very close in removing
such limits.
For corporations, the big trends are fun to identify and
predict. However, it is the specific& focused changes and
the strategies pursued by the customers and the vendors that
inform firms with their plans. Simply put, these vendors and
customers pave the path for a company’s decisions. In a
hotspot like analytics, firms must consistently need to plan
its initiatives and place their big bets and need to dodge the
associated risks to sustain a better future.
December 2018|38

42. FINARB ANALYTICS:
Data Science Consulting Firm Providing
end-to-end Data Solutions
We crunch, process,
and model your data
to present visual,
actionable insights
very day it seems that technology is pushing
Ethe boundaries of what analytics can deliver to
the organization. Data is emerging as the new
gold for the businesses around the world. Analytics
industry in India is growing at an amazingly rapid
pace. Recent technological developments like AI,
cognitive computing, IOT, blockchain are shaping the
future of organizations. According to the independent
reports, the analytic sector is expected to be worth
around 1.2 trillion USD by 2025.
In the ever-changing face of technology where every
fortnight has a new platform or language, things can
get confusing when data solution is needed. Finarb
Analytics Consulting Pvt. Ltd is solving complex
business problems with high-volume data engineering,
analysis, and predictive modeling. Finarb uses all kind
of data to solve business problems. It crunches,
processes and model data to present visual and
actionable insights. Finarb Analytics is a group of
dedicated analytics professionals having two decades
of experience in machine learning, artificial
intelligence, and deep learning in a wide range of
industry verticals with an emphasis on banking,
trading, and finance sectors.
The Leader Who Steered his Company to Success
With the desire to leave a distinct footprint in the
analytics industry, Abhishek Ray founded the Finarb
Analytics to provide end-to-end data solutions.
Abhishek has given his fruitful contribution to some of
the leading companies like Genpact, HSBC, and ANZ.
By seeing vast opportunities in data science and
analytics, he started working in this sector in 2009. He
left his job at ANZ in 2015 and started as a service
“
“
Abhishek Ray
Co-founder
December 2018|40

43. provider. On account of bigger projects, Finarb is growing
at an amazingly rapid pace. With sheer dedication,
Abhishek is committed to develop AI enabled easy to use,
reusable, and automated solutions by understanding real-
time data science.
Providing Innovative Services to Clients
Finarb Analytics provides analytics based consulting
services to clients across the globe. It involves framing the
strategy, structuring a solution to enable the strategy and
implementation of the same. It can range from the
traditional solutions like Marketing analytics e.g. churn
models, MBA (Market Basket Analysis) to high-end and
cutting-edge analytics in recommenders based on deep
learning frameworks to high-frequency algorithmic trading
models. It is providing customized models which are
robust, scalable and backed by the solid statistical
foundation. They provide complete automated package that
work as the end-to-end solution which can be run with
minimal human intervention. The company’s expertise lies
in the deep learning, algorithms, social media analytics,
scraping, ETL, Cloud development, Scaling, automation,
app design, and visualization, databases.
AI Enabled Tech Platform
AI is affecting every sphere of the life. With the advent of
AI, various opportunities in the analytics sector are
evolving. As the leading AI solution provider, Finarb is
willing to leverage digital transformation to the traditional
companies. Innovation is crucial, but the flawless execution
is something which brings success to a company. Keeping
that in mind, Finarb is working towards automation with
perfect implementation of the solution, which creates their
unique standpoint in the industry.
Finarb is distinctively contributing to the application of AI.
The company is providing services in social media projects
in areas of branding, monitoring, advertising, trading,
political campaigns, and fraud analytics. It is also
contributing to medical diagnostics into dermatology and
radiology. The company is creating a type of recommender
to automatically take in the structured and unstructured data
(text, image, or regular transactional) and integrate it with
web analytics data sources and CRMs. It also works with
traditional statistical models and learning models.
Prioritizing Client’s Need
Finarb is a team of competent and like-minded people who
share a burning desire to exceed client’s expectations.
Being a technology agnostic company, it is catering to
different clients with different technological setups and
preference. Finarb is an innovation partner of its clients. It
helps clients in analytics transformation and leverages the
potential of AI at a reasonable cost. The company is not
only providing statically or mathematically optimal solution
but also investing into automation. Such investments end up
saving the efforts and money in the redevelopment or
maintenance work of the client’s work.
Finarb is always ready to walk an extra mile for the clients
to cultivate the long-term relationship with them. The task
of growing the market while acquiring the customers is the
biggest challenge for the company. Many customers feel a
pleasant surprise when they find out about Finarb offering
world-class services a competitive price.
Future Roadmap
As India’s economy becomes increasingly global, analytics
will continue to become an integral part of corporate
strategy. Apart from providing cutting-edge data solutions
and technology solutions, the company is investing in the
area of social media branding and campaign, automated
medical diagnostics, generic recommender systems and
algorithmic trading and backtesting platform. All of these
models employ state of the art NLP, image modeling, and
ML and AI techniques. Finarb plans to introduce these
products to everyone in coming days.
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44. Videonetics:
A Pioneer in Visual Computing Platform
powered by AI & Deep Learning Framework
Innovation is in
our blood and it
is guiding principle
of Videonetics
he wave of analytics is impacting the business world at
Tan exponential rate. It is helping small- as well as large-
scale enterprises to improve efficiencies, enhance
customer experiences and generate profitable outcomes.
One such tech-enabled company rolling out innovative
solutions based on Visual Computing Platform and catching the
wave of enterprise-class video management & video content
analytics is Videonetics. It is not just a company, it is a
movement to promote culture of innovation and uphold the
national call for Made in India. Established in 2008, the
company is delivering Made in India innovative products and
solutions. With its sheer determination and unified efforts,
Videonetics is committed to march on its patriotic mission and
transform the world for better. From reducing traffic violations
to improving security in cities, airports, railway stations,
enterprises and other places with high security threat.
Videonetics has been innovating as well as deploying solutions
for wide-range of industries including banking, critical
infrastructure, government, corporate campuses, airports, traffic
management, sports, large manufacturing plants, campuses, etc.
Over the years, this Kolkata based company has built its strong
heritage of innovation and excellence in Visual Computing
Platform. Currently, it is the world’s first company to launch AI
& DL powered Unified Visual Computing Platform.
Leader’s Take on Innovation and Patriotism
Dr. Tinku Acharya is the Founder and Managing Director of
Videonetics Technology Pvt. Ltd. He is a fellow of IEEE
(Institute of Electrical and Electronic Engineers), a renowned
researcher and inventor. The words technologist and scholar
best describe Dr. Acharya. He is an entrepreneur with advanced
forward-thinking technology vision and innovation is his
passion.
After contributing more than 150 US and international patents,
he recognized that a country can get respect and become strong
with its home-grown intellectual properties and culture of
innovation. With this same patriotic mission, he launched
Videonetics. “I am not going to retire from innovation as long
“
“
Dr. Tinku Acharya
Fellow IEEE
Founder & MD
December 2018|42

45. as my brain and body cooperates and so perpetuate this
culture in my small but effective young team. My team think,
breadth, and goes to bed every day with the thoughts of
innovation,” says Dr. Tinku Acharya, Fellow IEEE.
His current research interests are in Artificial Intelligence
and Deep Learning, Image Processing, Computer Vision
and Pattern Recognition, Big Data Analytics, Visual
Biometrics etc.
Distinctiveness – Unlocking the Success Doors
“We understand that every industry has its unique
challenges and that finding the right solution for your needs
is an important decision,” Dr. Acharya asserts.
Holding a leadership position in the industry, Videonetics's
indigenous solutions have acclaimed patents from countries
like the USA, UK, Canada, Israel, Singapore and so on.
Many patent claims are pending worldwide. The company
had also been acknowledged by renowned awards.
Recently, it has introduced AI and Deep Learning
framework-enabled solutions including Intelligent VMS,
Smart Urban Video Analytics (SUVA), Attribute Search, No
Helmet Detection, Triple Riding Detection, Speed
Detection, Highway Traffic Management Software, Data
Visualization Platform, and Smart ITMS Dashboard to
name a few.
The unique features that helped the company in creating a
niche and being a trendsetter in its sector are:
- OS Agnostic – Windows, Linux, Unix, Mac OS
- Truly Unified Architecture & Integrated Platform
- Rich Integration Framework – API
- Best for Tough Environmental Conditions
- Web-enabled & Browser Agnostic
- Green computing by way of low computing foot print
requirements
Smart City and Videonetics – Going Hand-in-hand
A city can’t be smart if it is not safe. Since inception,
Videonetics have been playing a pivotal role in India by
providing indigenously developed innovative video
computing platform for making the city safer and smarter. It
is significantly contributing in safe city, smart traffic
management, automatic detection of violators, safe airports,
safe stadiums, safe religious places, safe home, smart
decision-making, and reducing wastage of manpower on the
street. It takes prominent steps in helping the law
enforcement agencies to enhance its operational excellence
and boost citizen confidence. The company has successfully
established its leadership position in Safe & Smart city
market in India by delivering home-grown solutions and
achieving the smart city vision by addressing India-centric
challenges and local issues.
The company is helping major Indian state like MP, AP,
West Bengal, UP, Gujarat and cities like Bangalore,
Vadodara, Nagpur, Chennai, Rajkot, Siliguri etc with their
innovative technology to reduce crime, effective law
enforcement and traffic management etc. This is helping
these states in cities in enhancing disciplined behaviour to
protect lives of citizens and their properties.
The Bigger Depiction
Cities around the world are getting smarter. City leaders and
decision makers are drawing on information and
communication technologies in various ways, with
advancements that improve the lives of citizens. This can
also empower people’s safety, protect their assets and
enhance their day-to-day experiences to keep pace with
modern lifestyle.
The surveillance application in retail, education,
government, critical installations, traffic management,
hospitality, health-care, and BFSI with other verticals is
exploring similar solutions. The same technology, when
implemented in smart city projects can reduce manual
interference, predict internal and external threats, system
malfunctions and alerts authorities in times of exigencies.
An independent survey emphasizes, as the cities grow
smarter and more futuristic, video surveillance will begin to
play pivotal roles in ensuring the safety of the cities.
Investing in the latest video surveillance technology with
not only just highest-resolution cameras, and IT
infrastructure, it is of paramount importance to invest in
versatile, scalable and intelligent Video Computing
software. This can act as the brain of the overall system for
providing actionable intelligence, enhance operational
excellence and best user experience, to meet actual user
expectation, and offer intelligent decision support system.
These developments can surely make the cities smarter,
with a goal of achieving fewer crimes, 24x7 surveillance,
and safer environments for city inhabitants, in tune with
modern lifestyle.
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