Download Top 10 Analytics Trends in India to watch out for in 2017

By Analytics India Magazine & AnalytixLabs
Top 10
Analytics Trends in India
to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
1
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
The document is the result of
continued research by Analytics
India Magazine and AnalytixLabs.
Permission may be required from
either or at least one of the parties for
reproduction of the information in this
report. All rights are reserved with the
aforementioned parties.
Con tents
4
Introduction
6
Foreword
8
Mercurial rise of open source
10
12
Artificial Intelligence becomes
pervasive in business
14
Analytics of Things continues
to be a game changer
16
Enabling real-time automated
decisioning system
18
Analytics is made invisible,
embedded within the system
20
Fintech is growing and so is
Fintech Analytics
22
2
A n a l y t i c s T re n d s in I ndia to w a tch o u t fo r in 2 0 1 7
Infographic
Rise of Self Service Analytics
24
Democratization & Consumization
of Analytics
26
Mobile first Omni Channel
strategy
28
Leverage GeoSpatial Analytics
in improving business model
30
Analytics goes deeper and beyond
data intensive functions
32
Other trends
34
Concluding note
3
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
After a lot of factfinding from the
industry insiders, we
bring to you the top 10
analytic trends that
have the highest odds
of becoming the next
big thing in analytics.
INTRODUCTION
A
nalytics is by far the biggest influ-
space, a few faded away and there are others
encer in IT industry – a phenomena
that endured and will definitely stay. This
evident by the rise of next-gen
study, now in its third year presents neatly
technology Cognitive Computing, Blockchain
sorted out viewpoint of the industry leaders
and Virtual Reality which has at its core a
and veterans on Top 10 Analytics Trends in
valuable asset “data”, and analytics quite
India to watch out for in 2017.
irrefutably is the essence of it. After all, it’s
the whole mix of technology, data and analyt-
From the rise of Democratization of Data to
ics that is revolutionizing the way we work.
Geospatial Analytics to Fintech Analytics,
thanks to the burgeoning financial sector,
In keeping with our annual tradition, we
2017 definitely belongs to these three.
present the much-researched and a carefully
Trends that did not make the cut to top 10
thought-out study carried out in association
but will definitely continue to grow and
with Analytix Lab, a premier analytics train-
evolve are visualization, analytics on clouds,
ing institute in India. We invited nominations
predictive analytics to name few.
from various organization to identify the
analytics trends that will shape the future of
Some of the surprise add-ons are video
our industry in India for 2017. After a lot of
content analytics, the rise of e-commerce
fact-finding from the industry insiders, we
analytics, digitization amongst many others.
bring to you the top 10 analytic trends that
have the highest odds of becoming the next
Explore the details on trends further with
big thing in analytics.
this report.
This year, we received an astounding 36
submissions. A lot of new trends have hit the
4
5
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
FOREWORD
Founder & CEO, AnalytixLabs
Sumeet Bansal
Founder & CEO, Analytics India Magazine
Bhasker Gupta
T
his was a great year for
of screening and filtering we bring
analytics industry.
to you the top 10 trends that are
could be a better way than to hear
The study, a compendium of
A
from the industry insiders on how
interesting detailed insights from
witnessing a digital revolution – and analyt-
the coming year would shape up.
leading corporates in analytics
ics has been one of its strongest pillars.
What were the ideas that succeed-
domain, is a result of extensive
ed and the ones that did not take
research done in association with
This was a watershed year for analytics in
open-source platforms. This has turned out
off? What were the challenges the
AnalytixLabs, a leading training
India – the pace of development and adop-
to be a potent catalyst for the widespread
analytics industry faced? And most
institute in Analytics in India.
tion was unprecedented. Many of the ex-
growth of analytics and has even empow-
As we mark an end to yet another
most likely to hit the market in the
coming year.
successful year in analytics, what
importantly what were the trends
s 2016 ends, we reflect on the
print media, and in fact including govern-
key trends and developments in
ment and defense sectors have placed their
analytics this year. Over the last
trust in Big Data and Data Science to a great
couple of years, Indian workforce has been
extent.
Another reassuring development we
observed in 2016 was the mercurial rise of
citing trends which were brewing over last
ered aspirational projects like “India Stack”
that hit the headlines and those
My personal pick of the top 3
couple of years, like Artificial Intelligence,
which propels 1.2 billion people strong
that are set to become the next big
analytics trends: Artificial Intelli-
IoT and Real-time Analytics, crystallized
nation towards presence-less, paperless,
thing in analytics?
gence, Internet of Things (we are
with industry wide implementation, finally
and cashless service delivery.
obviously gung-ho about IoT) and
going beyond proof of concepts stage. This
embedded analytics.
sentiment is reiterated by many industry
We firmly believe that this upswing in
stalwarts who have shared their views in
analytics will get stronger in 2017 with
this report.
all-embracing adoption of the recent de-
Treading down this road, we
reached out to industry experts
to get their insights on the trends
While several others remained on
they see emerging in the analytics
the chart like previous year, whilst
space for 2017. While we got a lot
not necessarily making it to the
While we are aware of the extensive role
trends and cutting-edge solutions for the
of intriguing viewpoints, after a lot
top 10.
Analytics plays in industries like Retail,
industry. Hereby this report lays out some
Telecom, Banking and Finance, one of the
keys trends of 2016 which we expect will
stirring outcomes of 2016 is that the non-
witness more accelerated growth in 2017!
velopments and emergence of even newer
incumbent industries like manufacturing,
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7
Top Analytics Trends in India to watch out for in 2017
MERCURIAL
RISE OF OPEN
SOURCE
By Analytics India Magazine & AnalytixLabs
T
he earlier notion that open-source is less
reliable and used by start-ups or small
companies doesn’t hold true anymore. When
goliaths like Microsoft, IBM and Intel em-
brace open-source big data platforms, it’s hard to imagine
a stronger signal that open source is now a dominant
choice. It is developments like these that enable large
number of organizations to get modern data applications
deployed quickly and efficiently.
What we have experienced at AnalytixLabs in last one
year further validates this. Majority of the requirements
we got from our corporate clients were pertaining to
open-source analytics platforms, namely R, Python,
Hadoop and Spark, not just for capability building and
training but for candidates hiring as well. This trend has
spanned across organizations of all scales and sizes, and
interestingly also included some organizations from
Financial Services domain too, who have been working on
By: Sumeet Bansal, Founder & CEO, AnalytixLabs
legacy software like SAS and were expected to be the last
one to adopt open-source analytics technologies.
A former Business Consultant, Sumeet has worked with prestigious companies like McKinsey
& Company, ZS Associates and AbsolutData in the past 8 years. He has worked in a multiple
The cost benefit is not the sole factor driving this trend.
number of industries like High – Tech, Telecom, E- commerce, Automobiles, Pharma, etc. and
When enterprises these days are looking at technologies
has extensively worked in domains such as Market Research, Behavioral Analytics and Cus-
for innovation and for ways to overhaul their current
tomer Lifecycle Management.
systems, open-source platforms have a lot more to offer
to integrate analytics into the complete ecosystem. The
libraries offered by open source tools are extensible,
thereby giving organizations options to develop their own
algorithms, while leveraging the existing ones, in case of
customized needs giving them better control.
In contrast to legacy data platforms, open source
projects tend to evolve much quickly in response to the
ever-changing business environment. And if one tries
to connect the dots, this has been one of the forces at
work enabling fast paced development seen in areas like
Artificial Intelligence, Self-service BI and democratization
of analytics.
When Hadoop, an open source framework, became a
synonym for Big Data due to its reliability and all-encompassing capabilities, a cultural shift was eminent, thereby
laying a path for open source technologies to play a
significant role in the growth and adoption of Analytics.
It has never been easier than this for any organization or
an individual to join the bandwagon of analytics, because
there never has been in the history of computing, a richer
set of open source data tools available to work with.
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Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
LEVERAGE GEOSPATIAL ANALYTICS IN
IMPROVING BUSINESS MODELS
10 ANLYTICS GOES DEEPER AND BEYOND DATA
INTENSIVE FUNCTIONS
09
01
MOBILE FIRST OMNI CHANNEL
STRATEGY
ARTIFICIAL INTELLIGENCE BECOMES
PERVASIVE IN BUSINESS
08
TOP 10
ANALYTICS TRENDS
02 ANALYTICS OF THINGS CONTINUES
IN INDIA TO WATCH
TO BE A GAME CHANGER
OUT FOR IN 2017
DEMOCRATIZATION &
CONSUMERIZATION OF ANALYTICS
07
03
RISE OF SELF SERVICE ANALYTICS
ENABLING REALTIME AUTOMATED
DECISIONING SYSTEM
06
04
10
05
FINTECH IS GROWING AND SO IS
FINTECH ANALYTICS
ANALYTICS IS MADE INVISIBLE, EMBEDDED
WITHIN THE SYSTEM
11
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #1
ARTIFICIAL
INTELLIGENCE
BECOMES
PERVASIVE IN
BUSINESS
Artificial intelligence
has become pervasive
in business in every
industry where
decision-making is
being fundamentally
transformed by
Thinking Machines
Managing Director at Deloitte
Consulting
Debashish Banerjee
Managing India, Teradata India
Sunil Jose
EVP & Co-Founder, Absolutdata Analytics
Amit Deshpande
Suhale Kapoor
There is a lot of hype around “artificial intelligence,” but it will often serve best as an
The Cognitive age is clearly upon us
— it is indicated by the fact that more
With social networks enabling 3rd
With the industry gradually moving
augmentation rather than replacement of
than $1 billion in venture capital
party chat SDKs and APIs, the stage
towards more productized solution,
human analysis because it’s equally import-
funding went into cognitive science
has been set for messaging apps,
the usage of AI based analytics is be-
ant to keep asking the right questions as it is
in 2014 and 2015, and further sup-
such as Facebook Messenger and
coming an integral part of modeling
to provide the answers.
ported by fact that various analysts
Whatsapp, to be at the core of con-
solutions being developed. With com-
project the overall market revenue
sumers’ interactions with brands.
panies across the globe moving up the
for cognitive sciences to exceed $60
Artificial Intelligence (AI) has a sig-
ladder in the analytics maturity stage,
billion by 2025. As the cognitive era
nificant role to play in bringing this
(from descriptive to prescriptive ana-
evolves, it will likely become anoth-
transformational change. Quality of
lytics) internal adoption of AI is also
ligence has become pervasive in business in
er key decision making tool in the
the chat bots leveraged in messaging
becoming relevant for automation
every industry where decision-making is being
toolbox of CXOs; vital for the right
apps is fundamental to improving the
and quicker results. There has been
fundamentally transformed by Thinking
applications but not entirely replac-
relevance and intimacy of the
a growing realization among Indian
Machines.
ing traditional business & advanced
conversations.
companies as well, as to how AI adds
As cognitive technology evolves, it is likely to
become just another tool in the toolbox—very
useful for the right application but not replacing traditional analytics capabilities that also
complement the human thought process. The
man-machine dichotomy is not “either-or.” It
is unequivocally “both-and.”
Artificial intel-
Managing Director, India, Qlik
Souma Das
analytics capabilities that complement the human thought process. In a
nutshell, the man-machine dichotomy
is not “either-or”, it is unequivocally
12
Vice President, Analytic Consulting
Group, Epsilon
“both-and”.
an intelligence layer to solutions and
helps tackle complex analytical tasks
much faster than humans could ever
hope to.
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #2
ANALYTICS OF
THINGS
CONTINUES TO
BE A GAME
CHANGER
The technologies & skills related to IoT protocols, edge analytics & real time sensor
analytics will be the key differentiators for its success & adoption in the market.
Head of Analytics at Suzlon
Internet of Things and Analytics of Things:
From more and more companies setting up
A cropping phenomenon in the industries to-
The Indian Internet of Things (IoT) market
IoT based systems to companies in diverse
day is IoT, it is probably turning out to be the
is set to grow to $15 billion by 2020
sectors such as Aeronautics, Embedded
most popular buzzword in the analytics word.
from the current $5.6 billion. Just about
Systems, Consumer Packaged Good,
The next-gen technology is slowly yet gradu-
every type of company seemed to have
Technology, Telecom and Retail leveraging
ally creating its own valuable space in the in-
an IoT strategy in 2016. However, today,
Big Data to change the way business and
dustry today and the usage of this technology
The “Internet of Things” is exploding. It is predicted
IoT is more about Data Than It Is Things.
operations runs more smoothly, 2017 will
is expected to grow over 25 billion devices by
that the number of device connected would reach
The original description of “Internet of
be the year when companies will go big
2020. Some of the early adopters of IoT based
50 billion by 2020. Most of these smart devices
Things,” was describing a network of
on investments in big-data and take the
technology in India are BFSI, Manufacturing,
would be in factories, energy sector, health care
connected physical objects. But in 2016, it
plunge.
Healthcare, Retail and Transportation. Since
systems, home appliances and wearable devices.
was apparent that this initial description
the use of this technology generates a signif-
The vital data so generated would enable us to
didn’t consider the importance of data
icant amount of data, the tools used are also
track health parameters, optimise machine perfor-
or cloud computing. So now, IoT isn’t
different and advanced.
mance, and reduce response time for breakdowns
about connecting billions of objects to the
Vinay Gupta
and also save lives.
Internet, it is really going to be all about
the data and the ability of organizations
to gain insights out of all of this data. This
means that getting value from data goes
EVP & Co-Founder, Absolutdata Analytics
In order to create real value of IoT/IIoT, the Sen-
Suhale Kapoor
sors & Communications node needs to integrate
with the Analytics infrastructure, else it will be a
beyond devices, sensors and machines and
simple data collection exercise. The technologies
includes all data including that produced
& skills related to IoT protocols, edge analytics &
by server logs, geo location and data from
real time sensor analytics will be the key differenti-
the Internet.
ators for its success & adoption in the market.
Managing India, Teradata India
Sunil Jose
14
Co-Founder, Convergytics
Randhir Hebbar
15
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #3
ENABLING
REALTIME
AUTOMATED
DECISIONING
SYSTEM
Co-founder, Convergytics
Randhir Hebbar
There is a visible
shift across many
With Streaming Analytics expected to grow from
big data and
USD3B to USD13.7B in 2021, 2017 will be the
analytics users to
year when companies will realize that data stored
streaming and real
and used real-time to take real-time decisions is
time analytics.
more powerful than reports, interesting visualizations and predictive models built on intelligent
ML algorithms.
There is a visible shift across many big
data and analytics users to streaming
and real time analytics. Businesses
particularly digital advertising, ecommerce, logistics & transportation are
looking to leverage ream time analytics and are heavily invested in this
space. This is also apparent from the
elevated adoption levels of Apache
Spark Streaming, Apache Storm or
Twitter’s Heron.
Enterprises are increasingly enabling
real-time
automated
decisioning
systems whether to streamline operations or mitigate risk. The older
rule-based systems are now being replaced by a new generation of systems
powered by online machine learning
and artificial intelligence - these are
self-learning systems that can recalibrate in an automated manner and can
Principal Architect at InMobi
be deployed on a large-scale.
Srikanth Sundarrajan
Co-Founder, Tiger Analytics
Pradeep Gulipalli
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17
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #4
ANALYTICS IS
MADE INVISIBLE,
EMBEDDED
WITHIN THE
SYSTEM
Co-founder, Ugam
Mihir Kittur
Technologies that nudge us to drink water,
take regular walk breaks, or inform us that
CEO, and Co-founder, BRIDGEi2i
Analytics Solutions
Prithvijit Roy
our cab has arrived have become common-
CTO, TechVantage Analytics
Deviprasad Thrivikraman
place. This is not restricted to consumer
Analytics solutions are increas-
facing decisions. In fact, businesses in
ingly embedded at the point of
2016 are beginning to realize the value of
decision-making. This is possible
this kind of data and deploy on-demand
because we are at a juncture where
analytics to drive better decisions. They
technology can support the seamless
are capturing and streaming unstructured
integration of data based algorithms
data, blending it with other data sources,
and decision frameworks. We are
deploying analytical models to unearth in-
seeing a trend of advanced analytics
sights, and are using rules engines to drive
made invisible and still available for
applicable “nudges”.
business users and enabling them to
perform complex, sophisticated analytics, while not being data scientists
themselves. Growingly, this trend will
There is a significant shift towards use of pre-built Analytics
challenge businesses to build strate-
solutions rather than custom-built solutions. Customers are
gies on enabling more business users
looking for solutions that give them quick wins. It could be a
Analytics works best when it’s a natural part of
to perform sophisticated analytics
man-machine model of using a bunch of reusable analytics
people’s workflow. In 2017, analytics will become
and help businesses in monetizing
accelerators in building a complete solution or complete
pervasive and the market will expect analytics to
data.
solutions that can consume data as-is and produce insights.
A man-machine model has the added advantage that it still
enrich every business process.
retains the benefit of human intervention while getting quick
results.
Country Manager, Tableau
Deepak Ghodke
Analytics works best when
it’s a natural part of people’s
workflow. In 2017, analytics
will become pervasive and the
market will expect analytics to
enrich every business process.
This will often put analytics
into the hands of people who’ve
never consumed data, like store
clerks, call-center workers, and
CEO, Nabler
Seby Kallarakkal
We have started to see a push towards
building repeatability in the analysis function. Analytics, as a discipline, is still maturing and there are not enough building
blocks available for us to build on top of
someone else’s work. But that’s changing
now and we are seeing repeatability in all
aspects of the analytics functions like data
extraction, transformation, visualization,
insights, and prediction.
truck drivers.
18
19
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
FINTECH IS
GROWING &
SO IS FINTECH
ANALYTICS
For the Industry,
key focus areas
will be systems
analytics to
optimize increasing volume,
fraud analytics
to control losses,
CRM, merchant
TREND #5
acquisitions,
rewards, loyalty
As India continues its thrust towards cashless
programs &
transactions, largely triggered by the government’s
spend growth.
demonetization move, millions of people are fast
Associate Director, Thomas Schmidheiny
Centre for Family Enterprise, Indian
School of Business
Dr. Nupur Pavan Bang
adopting mobile wallets. Scarcity of cash has led
Chief Analytics Officer, ZAFIN
Suman Singh
consumers, not just in urban areas but in semi-urban and rural areas also, to adopt digital payment
modes even for routine transactions that were
previously made only in cash.
Financial institutions are moving rapidly towards
Project Lead - Decision Science, CenturyLink Cognilytics
Sachin Daxini
With the adoption and regulatory challenges (RBI
guidelines, Aadhaar) largely resolved for the industry, mobile wallets are in high gear. However, recent
demonetization and push for cashless transactions
will prove to be the bona fide tipping point. Indeed,
despite the current growth, digital transactions are
still 10% of all transactions. The last census shows
70% Indians live in 6.5 lakhs villages. Per the RBI,
only 10% of these villages have a banking center.
Meanwhile, overall mobile subscription stands at 1
Billion today, with 35% of smart phone.
The dominant category of digital wallets in India
is pre-paid, where the wallet is funded prior to
utilization with no interest, hence there is no credit
or market risk involved. For the Industry, key focus
areas will be systems analytics to optimize increasing volume, fraud analytics to control losses, CRM,
merchant acquisitions, rewards, loyalty programs &
spend growth.
20
Going by the events of the last year (2016),
“digitization” and educating their customers to
At the same time, the exponential growth in the
Fintech will clearly emerge as the most chal-
adopt digital channels for day-to-day activities.
mobile wallet industry also emphasizes the need to
lenging as well as beneficial. The linkage of
With eroding revenue streams, intensifying compe-
develop a strong risk management framework, in
various identity proofs to uniquely identify a
tition, and ever-increasing customers’ expectation
order to prevent financial misconduct and frauds.
person and their financial footprint would be
financial institutions need to explore new way of
While banking and telecom companies in India
the key to the mission to drive out corruption
doing business. Measuring customer relationship,
have already started deploying robust risk analytics
and black money.
evaluating the customer journey and recommend-
models, the mobile wallet industry will be among
ing right bundle of product & services at the right
the frontrunners to leverage big data analytics to
price in real time through technology enabled dig-
manage inherent risks as well as to understand
ital platform will be the vital enablers to improve
consumer behavior.
customers’ banking experience.
VP – Data Analytics, The Smart Cube
Advance statistical methods and machine learning
algorithms can help banks to become smarter and
Nitin Aggarwal
diligent in dealing with their customers. A relationship manager, equipped with digitally enabled analytics solution, will have customer centric insights
like payment preference, transactional pattern, and
prescriptive recommendations on their fingertips
during customer interaction. Relationship manager
can also readily identify opportunities to optimize
channel alignment, mitigate attrition risk, and
cross sell & upsell based on behavioral segments
and profile of the customer. Being keen to offer
personalized service based on the customer’s
relationship strength is the key for any relationship
manager to substantially augment bank’s strategy
in this direction.
21
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #6
RISE OF SELF
SERVICE
ANALYTICS
Managing Director, India, Qlik
Co-founder, Convergytics
Souma Das
Randhir Hebbar
In 2017, the focus will shift from
The realization that what
“advanced analytics” to “advancing
delivers impact is not auto-
analytics.” Advanced analytics is
mated MLR or one-size fits all
critical, but the creation of the
solutions, but context driven
models, as well as the governance
customized solutions that lever-
and curation of them, is dependent
age business know-how (that
on highly skilled experts. However,
probably exists deep within a
many more should be able to ben-
company) and domain knowl-
efit from those models once they
edge (of expert consultants with
are created, meaning that they can
rich industry and applied ana-
be brought into self-service tools.
lytics experience) will dawn on
most business leaders in 2017.
Country Manager, Tableau
Deepak Ghodke
While self-service data discovery has become the standard, data prep has
remained in the realm of IT and data experts. This will change in 2017. Common
data-prep tasks like data parsing, JSON and HTML imports, and cross-database
joins will no longer be delegated to specialists. A report from IDC indicated that
spending in APAC on self-service visual discovery and data preparation market
will grow 250% faster than traditional IT-controlled tools for similar functionality.
In the near future, non-analysts will be able to tackle these tasks as part of their
CEO, Incedo Inc
Co-founder, Ugam
analytics flow.
Tejinderpal Singh Miglani
Mihir Kittur
Technological advancement has led to tools for Self
The rise of big data technologies has result-
Service Business Intelligence or Self Analytics. This
ed in the emergence of better and smarter
approach meets the needs of data producers and con-
ways of gleaning insights from big data.
sumers alike, adding speed and agility to the process
What’s different over the last few years is
while protecting organizational data and the system
that many of these technologies now enable
While self-service data discovery has become the standard, data prep has
overall with a single version of the truth.
self-service analytics capabilities especially
remained in the realm of IT and data experts. This will change in 2017.
for non-tech users. Non-tech users now in
many cases can extract, synthesize, visualize, and consume insights.
22
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Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #7
DEMOCRATIZATION
AND
CONSUMERIZATION
OF ANALYTICS
More data is now
available to c
ompanies of all sizes.
So more easy access to
data within a
company & sources to
find external data
Senior Vice President,
Blueocean Market Intelligence
Regional Sales Director, South East
Asia & Australia, Qubole
Chief Data Scientist and CEO at Gramener
Nikunj Vora
S. Anand
ics journey, data would be made avail-
Across various companies using data
The move from SaaS to FaaS (func-
able to the larger audience set hence
to gather insights, the access to data
tion-as-a-service)
allowing larger part of the
is moving to teams beyond traditional
Increasingly, analytics services such
organization to drive decisions
Data Teams – Data Analysts and Data
as facial / emotion recognition, hand-
leveraging data..
Scientists with a focus on maximum
writing recognition, voice transcrip-
usage and security with minimum
tion as well as predictors, classifiers,
governance.
etc are available as services with
Anees Merchant
As organization mature in the analyt-
Co- founder of Hansa Cequity
Managing Director, Customer Engagement
Solutions, Verint Systems
Anil Chawla
More organizations are “democratizing” Business Intelligence (BI) and analytics to enable
a broad range of non-IT users, from the executive level to frontline personnel, to do more
on their own with data access and analysis via
self-service BI and visual data discovery such
as drag-and- drop dashboards.
24
Ajay Kelkar
More data is now available to companies of
is
accelerating.
all sizes. So more easy access to data within a
APIs. Deep learning networks and
company & sources to find external data will be
models are available as a service. This
a trend that I see. Companies can partner each
decouples analytics software from its
other & leverage each other’s data. A DTH com-
capabilities. The computation is on
pany knows when you move residences & that
the cloud, while software just stitches
data can help a Retailer who sells furniture or
together distributed analysis.
is in that catchment. I believe that in year 2017
more marketers will leverage each other’s data
to build more effective analytics solutions.
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #8
MOBILE
FIRST
OMNI
CHANNEL
STRATEGY
Vice President, Analytic
Consulting Group, Epsilon
Amit Deshpande
With increased penetration of mobile, companies are taking
a Mobile First approach to engage consumers, leading to
progress in Mobile Analytics. With the available location
and motion sensing capabilities, significant progress was
made in data collection in a privacy compliant fashion to
determine what, when, where, and why of the activities that
consumers engage in. This data is enabling improved insight
and reach for business growth and consumer experience
improvement.
The increasing adoption of smart mobile devices has opened up new platforms from which users can
access data and both initiate and consume analytics.
CEO & Founder, StratLytics
Debasmit Mohanty
MD, Customer Engagement Solutions, Verint Systems
Anil Chawla
26
With increasing penetration of mobile
Co- founder of Hansa Cequity
Ajay Kelkar
phones, the number of mobile apps
have sky rocketed. Due to the limited
Given the massive shift to mobile shop-
The increasing adoption of smart
space on these mobile phones, consum-
ping, companies will need to develop a
mobile devices has opened up new
ers are engaging with apps that create
mobile-led omnichannel strategy rooted
platforms from which users can
value for them. To stay relevant, the
in a “mobile first” mind-set. The use of
access data and both initiate and
apps developers are using app analytics
automation and Artificial Intelligence
consume analytics. Executives
to understand their users’ profile and
within mobile app analytics will also be
can apply analytics to gain deeper
transaction behaviour to fine tune their
a gamechanger. More in-depth analytics
insight into business performance
product features and offering to increase
centered around uninstalls. Examining
metrics, while frontline sales and
user experience and engagement. We will
the causes of uninstalls can play a vital
service personnel can improve cus-
continue to see analytics playing a larger
role in user retention.
tomer engagements by consuming
role to declutter the space.
Head of Analytics at Suzlon
Vinay Gupta
In 2016, companies focused on mobile
app to give them a unique experience by
providing rich UX/UI, real time information, beautiful charts, data analysis & real
time notifications. It also helped the mob
app developers to gain insight into how
the consumers interact with their mobile
offerings and anticipate what they want
before they realize it themselves. Thus,
it will be required to continually invest
data visualizations that integrate
in the appropriate mobile & analyt-
relevant data about warranty
ics-on-the-move technologies to deliver/
claims, customer preferences, and
match the consumers’ soaring expecta-
more.
tions and to surpass competition.
27
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #9
LEVERAGE
GEOSPATIAL
ANALYTICS IN
IMPROVING
BUSINESS MODELS
SVP - Big Data & Analytics at Happiest
Minds Technologies
Sunil Shirguppi
In 2016, we have seen “Geo spatial analytics” gain
merce companies would like to know specific drop off
good amount of momentum in India. Geo spatial
points within dense neighborhoods where they can
analytics refers to mapping of events to point in time
drop off or pickup packages which could eventually
locations.
optimize the last mile delivery issues. Consumer driven companies would also like to know the micro user
SVP, Global Innovation and MD, Pitney Bowes India
Manish Choudhary
With a massive adoption of mobile devices across
segments that exist within a given locality so they
India in the past year and businesses getting more
can provide targeted solutions to specific segments
digitized, there are lots of “time and place” data that
in a given neighborhood. Another example is drone
is being collected today. Besides mobile devices,
analytics by leveraging geo spatial data wherein we
emergence of sensors with respect to smart cities in
have seen construction companies collecting geo spa-
India, drones being evaluated in agricultural and con-
tial data using drones to monitor their construction
struction sectors, emergence of social media in real
sites and identify pockets that need attention. We
time, we are seeing tremendous business potential in
are also seeing agricultural based businesses that are
terms of leveraging Geo spatial analytics in improving
now using drones to identify and predict the growth
business models and this trend will only continue to
of certain crops in specific geo locations so that data
grow.
can be fed to models that predict commodity prices.
Overall, we foresee Geo spatial analytics to become
In 2016, businesses found value in understanding the
We at Happiest Minds have been talking to custom-
one of the growth drivers for consumer businesses
‘where’ factor of data and the ability to query location
ers who want to understand and leverage geo spatial
as well as the Agrarian segment of our population in
based information or location analytics into their exist-
data to understand their customers much better and
India.
ing analytics. Business intelligence solutions along with
provide location specific solutions. For e.g. e-com-
geographic analysis brought forth insights that helped
companies better communicate with their customers,
create more targeted promotions and pursue previ-
28
ously unrecognized cross-selling opportunities.
29
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
TREND #10
ANALYTICS
GOES DEEPER &
BEYOND DATA
INTENSIVE
FUNCTIONS
Managing Director at Deloitte
Consulting
Debashish Banerjee
Most organizations have some or the other
success stories with analytics and data science.
However, business leaders have started to appreciate the difference between selectively using
insights for informed decisions and becoming
an Insight-Driven Organization (IDO) – one that
With the increasing use of analytical models in business decisions,
consolidating them in a single technology console, monitoring the
health of analytics implementations and model performance is
becoming a crucial need for business leadership and regulators.
utilizes innovative science on available data
to generate and act upon insights everywhere
across the business/ organization. Such organizations have started to understand the value of an
analytics strategy which blends vison, leadership,
processes, data, technology, and integration in the
CEO, and Co-founder, BRIDGEi2i
Analytics Solutions
right proportions, and helps leverage strategic
analytics across the value chain to identify op-
Prithvijit Roy
portunities, pinpoint risk and derive value-based
outcomes.
The use of analytical models is sig-
analytics implementations and model
nificantly increasing across business
performance is becoming a crucial
functions (marketing, sales, risk,
need for business leadership and
pricing, etc.) and business & product
regulators. This will help track the
lines of the enterprise. They are at
analytics performance, demonstrated
different stages of deployment and
ROI and avoid the risk of incorrect
being used continuously by various
decisions made because of analytics.
business users simultaneously. How-
‘Analytics governance platforms’
ever post implementation of such
will gain prominence across all
Analytics used to be the domain of the
models, businesses are not neces-
large enterprises and will become
data intensive functions and verticals
sarily being able to track how these
mainstream to monitor the analytics
such as sales/marketing or banking/
models are performing and not sure if
deployment through workflows.
telecom/healthcare. This year, ana-
they are delivering the promised val-
The ROI of the analytics governance
lytics extended into nearly data-less
ue. Neither do the businesses know
platforms will be seen in the long-
domains such as media/construction,
the interlinkage effect of all these
term and would reap the benefits of
and functions like HR/admin. Media
models working together.
governing complex analytics environ-
firms use analytics to identify factors
ments in a single platform with more
that improve their ratings. Construc-
visibility to the analytics ROI.
tion firms use it for bid management,
With the increasing use of analytical
Chief Data Scientist and CEO at Gramener
S Anand
models in business decisions, consol-
building modelling, etc. HR teams are
idating them in a single technology
using analytics for attrition defence,
console, monitoring the health of
performance management, and driving
social capital. Few of these had
structured data until a year ago.
30
Top Analytics Trends in India to watch out for in 2017
OTHER
TRENDS
WORTH
MENTIONING
BUT DID NOT
MAKE IT TO
TOP 10
32
By Analytics India Magazine & AnalytixLabs
•
Data Enrichment
•
Omni-Channel Perspective
•
Targeted marketing through Visual Media
•
Analytics on Cloud
•
Apache Spark
•
The Rise of E-commerce Analytics
•
Data Security
•
Visualization
•
Health Analytics
•
‘Digitization’ is the new buzz
•
IT becomes the data hero.
•
Data literacy becomes a fundamental skill of the future.
•
Personalization got new legs
•
Building up Data Infrastructure
•
Management platforms
•
Augmented Reality & Virtual Reality
•
BI shift from visuals to interaction
•
Marketing and Sales analytics converge
•
Video content analytics
•
Productized analytics solutions
33
Top Analytics Trends in India to watch out for in 2017
By Analytics India Magazine & AnalytixLabs
CONCLUDING NOTE
RISE OF
MACHINE
LEARNING,
AI AND
COGNITIVE
SOFTWARE
COMPUTING
IN 2017
Founder and CEO: Analytics-Based Performance Management LLC
Gary Cokins
There will be substantial impacts in 2017 from
tion” for protection. To elaborate, examples of
machine learning, artificial intelligence (AI),
digitization like Uber and Airbnb are just the tip
smart process automation (SPA), and cognitive
of the iceberg. Those involve an electronic mar-
software computing. The accelerating and dis-
ketplace matching supply and demand. It is the
ruptive “digital revolution” will adversely impact
categories of digitization that I referenced that
an organization’s competitiveness. Organiza-
will bring dramatic changes. Digital transfor-
tions must either “disrupt” or “be disrupted”.
mation is not exclusively about physical robots
Companies often fail to recognize disruptive
but also about software robots that perform
threats until it is too late. And even if they do,
functions that people perform.
they fail to act boldly and quickly enough. The
exponential growth of digital devices such as
With automation the computer takes over the
tablets, smart phones and other devices, sensors
core transactional tasks that were the purview
and machines connected to the
of humans and their tedious and time-consuming tasks and makes them more cost efficient.
34
Internet creates both opportunities and chal-
And the computer never gets tired. It can
lenges for enterprises. This requires a paradigm
operate 24/7!
shift in thinking to embrace “digital transforma-
35
Top Analytics Trends in India to watch out for in 2017
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