In its fifth year, our Data Science Leaders Outlook in India 2019 in collaboration with Simplilearn takes stock of the analytics landscape in India and how enterprises have moved up the analytics maturity index. What was once viewed as a competitive advantage is now powering the core operations and helping companies launch entirely new business models. Analytics and Data Science has changed the dynamics of the industry, spawning a winner-takes-all market.
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
Addressing India's Reskilling Challenge - A Report By AIMRicha Bhatia
In our report, we dig into the educational stakeholder
landscape to see how they are transforming the skills market by
developing training courses and certification programmes that
correspond to in-demand skills required today. We look at the
type of educational institutions offering data and analytics
programs; how the educational landscape is changing in
response to the heightened demand for analytics skills and
what needs to be done to fill the skill gap.
Analytics And Data Science Jobs In India 2019 – By Great Learning & AIMRicha Bhatia
In our annual study with Great Learning, we examine the landscape of job requiring data science and analytics competencies and skills. Our market snapshot gives a quick view of the evolving talent market and highlights how employees need to develop a blend of skills to strive ahead in data science roles. The report clearly demonstrates while skills in Python and Java are highly sought-after, a professional programmer or a data analyst should have the ability to learn new coding languages.
Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019Richa Bhatia
The report titled, Analytics & Data Science In Indian Financial Sector - A Deep Dive 2019 by Analytics India Magazine & Jigsaw Academy gives a 360 degree overview of the financial analytics sector in India and gives a clear picture of leading financial companies that are moving up the value chain with a robust analytics practice and have a deep bench of financial analytics talent.
Analytics & Data Science Industry in India: Study 2019 by AIM & Praxis Busine...Richa Bhatia
Our annual Analytics & Data Science Industry In India: Study 2019 by Analytics India Magazine and Praxis Business School identifies the key trends and revenue drivers for the analytics industry. We take stock of the burgeoning analytics industry in India — domestic and outsourcing, the leading revenue generators, the geographies served and where the analytics market is heading.
Analytics India Salary Study 2019 – by AIM & AnalytixLabsRicha Bhatia
Our annual Analytics India Salary Study presented by AIM and AnalytixLabs looks at the distribution of average salaries across years of experience, job category, region, industry, education, gender and tools and skills.
The analytics industry is growing for sure and Analytics India Magazine in association with AnalytixLabs brings the Analytics India Industry study 2017 covering all the aspects of the analytics industry. The study is a result of extensive primary and secondary research conducted over a duration of two months.
Analytics & Data Science Industry In India: Study 2018 - by AnalytixLabs & AIMAnalytics India Magazine
The data analytics market in India is growing at a fast pace, with companies and startups offering analytics services and products catering to various industries. Different sectors have seen different penetration and adoption of analytics, and so is the revenue generation from these sectors.
The Analytics and Data Science Industry Study 2018 takes into account various trends that analytics industry in India is witnessing, revenue generated through various geographies, analytics market size by sector, across cities etc. It also takes into consideration analytics professionals in India across work experience and education.
This year’s study is brought to you in association with AnalytixLabs, a pioneer and one of the first analytics training institutes in India. The study is a result of extensive primary and secondary research conducted over a duration of two months, where we got in touch with analytics companies and professionals across various industries such as banking, finance, ecommerce, retail, pharma, healthcare and others.
Analytics India Annual Salary Study aims to understand a wide range of current and emerging compensation trends in Analytics & Data science organisations across India. The idea is to provide a reference point on key aspects around analytics salaries in India and potential future HR trends. It brings a cumulative picture of salary trends across company type, skills, analytics tools, cities, experience level, education level etc.
The study details about analytics professionals across company types such as captive centres, domestic firms, IT service providers, consulting firm and others, spread across various Indian cities.
Gender gap is another crucial area covered as a part of this year’s salary study. The pay scale of women analytics professionals seems to be at a lower end compared to male counterparts, and the study presents you with exact numbers.
It has been carried out by Analytics India Magazine in association with Great Learning. All salaries mentioned in the study are in Lakhs (L), per annum, in Indian rupees (wherever not mentioned).
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new
tech concepts such as analytics, big data, data science, artificial
intelligence and machine learning, among others. While
there may be a huge variation in the skills sets, experience and
education requirement for these professionals across various
cities and industries, there is a constant rise in the overall demand
for analytics professionals with new jobs being posted each day.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
eTailing India Launches Big Data Report - 2015 eTailing India
The document discusses the current state of big data in India and its potential impact on eCommerce growth. It notes that big data involves collecting, processing, and applying insights from large, diverse data sets. While still nascent in India, big data is projected to significantly impact eCommerce by providing deeper customer insights and more personalized experiences. Major players are adopting strategies like Hadoop to analyze customer behavior and improve conversions. Widespread adoption is expected to drive industry competition and innovation.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
Customer-centric IT - Enterprise IT trends and investment 2013arms8586
The CIO KLUB survey aimed to capture IT priorities and investment plans of CIOs in India. Key findings include:
1) Top priorities for CIOs in 2013-14 are enhancing customer experience, automating business processes, ensuring business continuity, and investing in mobility and business intelligence.
2) Median IT spend as a percentage of revenue is 1.08% for manufacturing and 3% for services like banking.
3) Innovation will continue to drive capital investments but overall IT spend is expected to remain consistent with prior years due to economic uncertainties.
4) CIOs will focus on improving margins by enhancing customer experience and operational efficiencies through IT.
Embracing a More Connected Future Using IoTCognizant
The document discusses how companies can accelerate their adoption of IoT technologies to gain business benefits. It summarizes the findings of a study that assessed organizations' digital maturity levels and their progress in adopting IoT. The study found that IoT adoption is easier for more digitally mature companies and yields higher returns than other technologies. The document then outlines five vectors for how organizations can implement IoT solutions to improve operations: promoting remote work, automating production processes, improving customer experience, increasing healthcare efficiency, and building smarter infrastructure. Implementing focused IoT projects in these areas can help companies future-proof their operations and adapt to changing business environments.
Manufacturers were hard hit by COVID-19, but our research reveals the next best steps to take, based on the investments digital leaders in the industry have made and plan to make.
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
Find out What Businesses Around the World are Doing to Turn Data into CapitalSuzanne Blackstock
- Businesses are collecting more data than ever from both internal and external sources but many feel unprepared to manage and draw insights from it.
- Close to all executives surveyed plan to invest in technologies like business intelligence tools, industry-specific applications, and expanding analyst teams to improve how they leverage data.
- However, many still face challenges like systems not designed for their industry, lack of timely access to information, and an inability to translate data into meaningful insights.
1. The document discusses shifts in analytics and big data, including that the majority of organizations now realize returns on analytics investments within a year, and that while customer focus remains important, organizations are increasingly using data and analytics to improve operations.
2. It also notes that many organizations are transforming processes by integrating digital capabilities, and that the value driver for big data has shifted from volume to velocity - the ability to quickly move from data to action.
3. Speed is now the key differentiator, as data-driven organizations with capabilities for broad, fast analytics usage and agile technical infrastructure are creating significant business impacts.
State of analytics in domestic firms in India 2017 - by AIM & Cartesian Consu...Analytics India Magazine
Analytics industry in gaining importance in India and is being deployed across various sectors such as banking, finance, e-commerce, retail, and telecom. Tapping on to the growing analytics industry, the study gives us a quick insight into how the analytics scenario is evolving in the domestic market.
This year’s study has been co-presented by Cartesian Consulting, a global analytics services firm specialising in customer, marketing, and business analytics. We looked at 20 large Indian firms across industries that have adopted analytics to improve business.
This study evaluates the scenario of analytics and data science hirings across various industries such as retail, telecom, e-commerce etc, across cities, requirements in terms of experience & education, hiring trends and much more.
Analytics jobs scenario in India is constantly evolving. Companies are looking to hire professionals who are well-versed with new
tech concepts such as analytics, big data, data science, artificial
intelligence and machine learning, among others. While
there may be a huge variation in the skills sets, experience and
education requirement for these professionals across various
cities and industries, there is a constant rise in the overall demand
for analytics professionals with new jobs being posted each day.
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Data Science Skills Study 2019 by AIM And Imarticus LearningPraj H
Our latest Data Science Skills Study 2019 by Analytics India Magazine and Imarticus Learning takes a deeper look into the key trends related to tools and technologies deployed across the sectors and how companies are staying ahead of the pack. As analytics and machine learning reaches deeper into operations, there is significant disruption at the workplace with data scientists and data analysts dabbling with newer tools.
State of data_science_in_domestic_indian_market_2019_aim_sasSrishti Deoras
This document provides an overview of analytics and data science adoption in large Indian companies based on a study conducted in 2019. Some key findings:
- Analytics adoption has increased to 70% of large firms from 64% last year. Sectors like banking, auto and e-commerce have nearly 100% adoption.
- Mumbai accounts for 44% of analytics functions, followed by Delhi and Bangalore which together account for 91% of functions.
- On average, analytics penetration is 2.5% of employees and tenure is 4 years, up from 2.8% and 3.4 years respectively last year.
- Telecom professionals have the highest experience at 10.2 years while e-commerce has the lowest tenure at
Everyone is talking about Artificial Intelligence — the new normal, which has entered almost every work process across industries. Enterprises are rethinking and strengthening their AI capabilities, using it as a tool to improve products and services. With AI becoming crucial to enterprise success, upskilling has become the new mantra among Indian IT professionals, who are keen to make an impact in their careers with Machine Learning and AI.
In our annual AI Study with Great Learning, we take a look at key AI trends dominating the Indian AI market-leading companies, professionals, salaries, jobs broken down by cities and how AI’s potential for industry growth has risen over the last few years. In the second half of the study, we cover AI literacy in India through Great Learning’s comprehensive AI/ML programs that are bridging the current skill gap and consequently boosting workforce transitions.
Data Science & AI Trends 2019 By AIM & AnalytixLabsRicha Bhatia
This document discusses 10 data science and AI trends to watch for in India in 2019. It begins with an executive summary noting that enterprises are putting digital technologies like AI, machine learning, and analytics at the core of their transformations. It then discusses each of the 10 trends in more detail, with quotes from experts about how each trend will impact industries and businesses. The trends include more industries utilizing analytics and AI, deploying models for real-time use cases, using data analysis for informed customer engagement, increasing investment in data infrastructure, analytics becoming more pervasive, the need for greater collaboration, personalized products, making analytics more human-centric, replacing centralized data with a single customer view, and the growth of voice and AI assistants.
Data science ai_trends_india_2020_analytics_india_magazineSrishti Deoras
The document discusses key data science and AI trends to watch out for in India in 2020 according to a report by Analytics India Magazine and AnalytixLabs. Some of the major trends highlighted include the rise of hyper automation, development of more humanized AI products, advancements in natural language processing and conversational AI, increased focus on explainable AI, growth of augmented analytics, innovations in data storage technologies, greater emphasis on data privacy, raising awareness on ethical use of AI, and potential opportunities around quantum computing and data science. The report examines each of these trends in further detail to outline what companies and industries can expect to see changing or developing in the upcoming year.
Study: Analytics and Data Science Jobs in India: 2020 – By Great Learning & AIMSrishti Deoras
This report outlines the functional analytics skills and programming languages that are most in-demand in the market. The report provides insights for recruiters and hiring companies so that they can study the demand for skills across the analytics function, and can identify and close any capability gaps across workforces. By highlighting the talent hotspots in the country, the report enables organisations to build a steady talent pipeline.
State of Artificial Intelligence in India 2020Srishti Deoras
Report developed by AIMResearch, in association with Jigsaw Academy, on the Artificial Intelligence Market in India as AI emerges as one of the primary Data Science functions across Enterprises in India
In the latest edition of the Indian analytics study, AIM Research, in association with AnalytixLabs, provides insights on the overall analytics domain and the state of analytics across sectors and enterprises.
Impact on Jobs across Emerging Technologies During the Current Pandemic Crisi...Srishti Deoras
Analytics India Magazine (AIM) along with Jigsaw Academy, has developed this study to focus on the impact on jobs across certain emerging technologies.
eTailing India Launches Big Data Report - 2015 eTailing India
The document discusses the current state of big data in India and its potential impact on eCommerce growth. It notes that big data involves collecting, processing, and applying insights from large, diverse data sets. While still nascent in India, big data is projected to significantly impact eCommerce by providing deeper customer insights and more personalized experiences. Major players are adopting strategies like Hadoop to analyze customer behavior and improve conversions. Widespread adoption is expected to drive industry competition and innovation.
The document discusses business intelligence and analytics in India, including trends, challenges, and growth. It notes that while the industry in India is growing, it faces challenges like a lack of relevant data, shortage of skilled workers, fragmented market, and need for more domain-specific education. However, trends like a growing focus on industries like retail and banking, and increased use of mobile business intelligence, are supporting the growth of the industry. The industry is expected to reach revenues of $140 million in India by 2014.
Customer-centric IT - Enterprise IT trends and investment 2013arms8586
The CIO KLUB survey aimed to capture IT priorities and investment plans of CIOs in India. Key findings include:
1) Top priorities for CIOs in 2013-14 are enhancing customer experience, automating business processes, ensuring business continuity, and investing in mobility and business intelligence.
2) Median IT spend as a percentage of revenue is 1.08% for manufacturing and 3% for services like banking.
3) Innovation will continue to drive capital investments but overall IT spend is expected to remain consistent with prior years due to economic uncertainties.
4) CIOs will focus on improving margins by enhancing customer experience and operational efficiencies through IT.
Embracing a More Connected Future Using IoTCognizant
The document discusses how companies can accelerate their adoption of IoT technologies to gain business benefits. It summarizes the findings of a study that assessed organizations' digital maturity levels and their progress in adopting IoT. The study found that IoT adoption is easier for more digitally mature companies and yields higher returns than other technologies. The document then outlines five vectors for how organizations can implement IoT solutions to improve operations: promoting remote work, automating production processes, improving customer experience, increasing healthcare efficiency, and building smarter infrastructure. Implementing focused IoT projects in these areas can help companies future-proof their operations and adapt to changing business environments.
Manufacturers were hard hit by COVID-19, but our research reveals the next best steps to take, based on the investments digital leaders in the industry have made and plan to make.
COVID-19 has increased the need for intelligent decisioning through AI, but ROI is not guaranteed. Here's how to accelerate AI outcomes, according to our recent study.
Find out What Businesses Around the World are Doing to Turn Data into CapitalSuzanne Blackstock
- Businesses are collecting more data than ever from both internal and external sources but many feel unprepared to manage and draw insights from it.
- Close to all executives surveyed plan to invest in technologies like business intelligence tools, industry-specific applications, and expanding analyst teams to improve how they leverage data.
- However, many still face challenges like systems not designed for their industry, lack of timely access to information, and an inability to translate data into meaningful insights.
1. The document discusses shifts in analytics and big data, including that the majority of organizations now realize returns on analytics investments within a year, and that while customer focus remains important, organizations are increasingly using data and analytics to improve operations.
2. It also notes that many organizations are transforming processes by integrating digital capabilities, and that the value driver for big data has shifted from volume to velocity - the ability to quickly move from data to action.
3. Speed is now the key differentiator, as data-driven organizations with capabilities for broad, fast analytics usage and agile technical infrastructure are creating significant business impacts.
How ‘Big Data’ Can Create Significant Impact on Enterprises? Part I: Findings...IJERA Editor
Big data is the latest buzz word in the BI domain, and is increasingly gaining traction amongst enterprises. The prospect of gaining highly targeted business and market insight from unmanageable and unstructured data sets is creating huge adoption potential for such solutions. The scope of big data moves beyond conventional enterprise databases to more open environments, covering new sources of information typically relating to various social networking sites, wikis and blogs. Moreover, advancements in communications and M2M technologies are also contributing to the massive availability of big data
The document discusses how companies can build a data-driven culture by engaging employees. It argues that becoming data-driven happens in three stages - focusing first on technology, then talent, and most importantly transforming the corporate culture. Two key factors are needed for cultural transformation - strong leadership from the top to establish a vision, and bottom-up employee engagement through training, incentives and making data accessible and relevant to employees' daily work. Companies that are truly data-driven report better performance, innovation, collaboration, and employee satisfaction compared to those that are not.
The document is a report from the Economist Intelligence Unit that discusses the challenges of building a data-centric culture in organizations. It is based on a global survey of 395 executives. Some key points:
- Building the right organizational culture to realize business value from data analytics is now a priority for companies, as they have already invested in technology and talent.
- CEOs face the challenge of transforming company culture and how data is used. They must implement strategies from the top-down and engage employees.
- Successful data-driven companies are inspired by leaders who communicate a strong vision of how data can help the business and drive values like customer service. Leaders also provide expertise and education to help employees apply data.
Driving A Data-Centric Culture: The Leadership ChallengePlatfora
Embracing data as a corporate asset—and a source of competitive advantage—is not just a “good idea” that companies should consider. Such adoption will help determine the winners and losers across multiple markets and industries in the future.
In the last couple of years, corporate focus has shifted: first, from investing in the right technology and tools; then to acquiring the right talent and skills; and now to building the right organizational culture that can realize the business value of powerful big-data analytic tools.
Most organizations today are still focused on putting in place the right technology and talent, but others have evolved further and are working toward fostering a data-centric corporate culture.
10 Enterprise Analytics Trends to Watch in 2019 MicroStrategy
View insights from Forrester analyst Mike Gualtieri, Constellation Research’s Ray Wang and Doug Henschen, Ventana Research’s Mark Smith and David Menninger, IDC’s Chandana Gopal, Marcus Borba, Ronald van Loon and other top analytics and business intelligence thought leaders.
This document summarizes key findings from a survey of 200 IT professionals about big data analytics. The main findings are:
- Big data and data center infrastructure updates are the top strategic priorities for most respondents. Big data is the number one priority for 21% of respondents.
- Most respondents have a formal big data analytics strategy in place or plan to have one within the next six months. The majority will have a strategy within a year.
- Three quarters of respondents are currently processing both structured and unstructured data or plan to within six months.
- Adoption of tools like Apache Hadoop continues to rise, with over half of respondents having deployed or implementing a Hadoop distribution, half of which use
This document summarizes key findings from a survey of 200 IT professionals about big data analytics. The main findings are:
- Big data and data center infrastructure updates are the top strategic priorities for IT managers. Big data is the number one priority for 21% of respondents.
- Most organizations already have a formal big data analytics strategy in place or plan to have one within the next six months. The majority will have a strategy within a year.
- Over half of respondents have already deployed or are currently implementing the Apache Hadoop framework. Half of those use an internal private cloud.
- The leading current uses of big data relate to understanding staffing levels and productivity, and generating competitive intelligence. Future uses
This document summarizes findings from a study of over 12,000 C-suite executives from around the world. It finds that industry incumbents, rather than new entrants, are now seen as the leading drivers of disruption in most industries. While some predicted widespread disruption from digital technologies, the C-suites report more stability and less urgency to transform. The document identifies three archetypes of organizations - Reinventors, Practitioners, and Aspirations - based on their stage of digital reinvention. Reinventors are outperforming peers and see opportunities in ecosystems and partnerships. Many organizations are looking to platform business models. Disruption is ongoing but incumbents have strengthened their ability to transform themselves.
The document summarizes the findings of a study conducted by IBM on how organizations are using emerging technologies like big data, analytics, cloud computing, mobile, and social media. It finds that while these technologies are now mainstream, companies labeled "Pacesetters" that adopted them early still maintain competitive advantages. Pacesetters differentiate themselves through partnering innovatively, making analytics integral to decision-making, and combining multiple technologies for greater impact. The study indicates Pacesetters will continue investing heavily in these areas to stay ahead of competitors as adoption becomes more widespread.
Big Data Update - MTI Future Tense 2014Hawyee Auyong
The Futures Group first wrote about the emerging phenomenon of Big Data in 2010 as it was about to enter the mainstream. It was envisaged that Big Data would create a demand for new skills (Google has identified statisticians as the “sexy job of the decade”) and generate new industries. This report updates on the industry value chain and business models for the data analytics industry, latest developments as well as the opportunities for Singapore.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalSubrahmanyam KVJ
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
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Data Science Leaders Outlook In India 2019: By AIM & Simplilearn
1. 1
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
DATA SCIENCE
LEADERS
OUTLOOK IN INDIA
2019
BY ANALYTICS INDIA MAGAZINE & SIMPLILEARN
2. 2
CONTENTS
Executive Summary
Research Methodology &
Key Takeaways
Maturity Level of Data Science Adoption
Data Science Hiring Plans
Key Strategic Decisions
Key Challenges
The Talent Crunch That Still Exists
(05)Foreword
(07)
(09)
(11)
(13)
(15)
(17)
(19)
Conclusion (21)
3. 4 5
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
FOREWORD
While it is hard to imagine today, access to informa-
tion was very limited even just a few decades ago.
Since then, we’ve gone from scarcity of data to a
colossal overabundance of data. With the prolifera-
tion of digital devices, growing digitization of business
processes, and cloud adoption becoming increasing-
ly mainstream, there has been an explosion in the vol-
ume of data that is generated and is readily available
and accessible.
In turn, this data has thrown up a plethora of new op-
portunities for businesses. This data holds a goldmine
of information and insights that can be leveraged by
businesses to consolidate their operations, inform
business strategy and streamline processes.
Data is most definitely driving conversations today.
But as data science becomes increasingly main-
stream, it is grappling with its own set of challenges.
One is the diversity of data and formats. Given that
data is generated across multiple devices by multiple
entities, it exists in multiple forms across various plat-
forms. This, in turn, makes it difficult for organizations
to consolidate this data such that it can be analysed
in a way that is errorless, clean and cost-effective.
While data is abundant, it is governed by a complex
set of regulations and compliance guidelines, which
can create challenges with respect to the storage and
processing of data. For example, GDPR regulations
dictate that any personal data must be sufficiently
masked such that it does not give away the identity
of any individuals.
The other issue is the lack of sufficiently skilled data
experts who can work their magic on the data to
create actionable insights. A recent report by Indeed,
one of the top job sites, highlighted a 29 percent
increase in demand for data scientists year on year,
including a whopping 344 percent increase since
2013. One way to address the severe demand-sup-
ply mismatch is to encourage professionals to up-skill
and re-skill, in order to bag the job of the future – the
data scientist. To avoid over-reliance on a brutally
competitive recruiting market, organisations must
focus on training their existing workforce to prepare
them for the swiftly changing business demands.
Data Science Leaders Outlook in India 2019 by AIM
and Simplilearn, now in its fifth year, is aimed at gain-
ing an accurate picture of analytics maturity within
organisations. It analyses the extent to which enter-
prises have embraced analytics within their organi-
sations and also evaluates the benefits accrued from
investments in analytical capabilities.
It offers some interesting insights into how organ-
isations are making major pivots in terms of data
infrastructure, capabilities and talent in order to gain
from their investments in data science. It also throws
light on the various measures that companies are em-
ploying to ensure that they are at the forefront when it
comes to the adoption of data science.
It is worth taking note that organisations are fast
waking up to the opportunities that Data Science
offers and are increasingly prioritising it to gain market
share.
Krishna Kumar, Founder & CEO, Simplilearn
4. 6 7
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
EXECUTIVE SUMMARY
Data and Analytics has increasingly
become the “secret sauce” of
organisations across the board. Today,
service providers are consolidating their
big data and analytics (BDA) capabilities
into one main service line and are adding
AI capabilities to their portfolio to broad-
en data-related services and compete
with their peers effectively.
Currently, in its fifth year, our Data
Science Leaders Outlook in India 2019
in collaboration with Simplilearn takes
stock of the analytics landscape in India
and how enterprises have moved up the
analytics maturity index. What was once
viewed as a competitive advantage is
now powering the core operations and
helping companies launch entirely new
business models. Analytics and Data
Science has changed the dynamics of
the industry, spawning a winner-take-all
market.
The two key transformational changes
over the last five years have been
companies beefing up the technology
infrastructure to capture more value from
data and the evolution of technology.
Technology has taken a massive leap
forward in the last few years with AI
becoming embedded in day-to-day
processes. Today, Machine Learning
and Deep Learning has found use cases
across the sector and their applications
are now powering the product recom-
mendations, language translation, virtual
assistants and image recognition.
5. 8 9
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
RESEARCH METHODOLOGY
KEY TAKEAWAYS
• All respondents expect the demand
of Analytics at their organization to
increase over the next 12 months
• Analytics is growing more mature and
leaders’ sentiment outlook continues
to be high this year. This result is con-
sistent from last year
• Across the board, companies report
that finding the right talent is the big-
gest hurdle
• Companies are open to collabora-
tions with technology incubators and
startups that give them access to IP,
proprietary technology platforms and
talent
Our goal in conducting this survey was
to develop a clear picture of analytics
maturity in organisations. We explored
topics from the usage of analytics to
what extent have enterprises benefitted
from investments in analytical capabili-
ties. Our respondents comprise of senior
analytics leaders and members of the
C-suite.
The key areas explored in this study
are:
• Maturity level of Data Science in
organisations
• Investment in Data Science over the
next five years
• Challenges that persist in Data
Science adoption
• Talent acquisition strategies key to
success
The study is geared towards IT decision
makers and offers a comprehensive
assessment of analytics maturity of
organisations and the challenges they
face. The insights can allow business
decision makers to outline a clear vision
of how businesses can further monetize
data. This is the fifth year of our in-depth
survey on analytics and data science
leaders’ outlook, and here are the
results.
6. 10 11
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
0
5%
10%
15%
20%
25%
30%
35%
40%
45%
Early Stage Mature Advanced Others
PERECENTAGE OF ANALYTICS MATURITY IN ORGANISATIONS
MATURITY LEVEL OF
DATA SCIENCE ADOPTION
We asked respondents to rate the analytics adoption at their organizations on 3 level
of increasing adoption rates – early stage, mature stage & advanced stage. A majority
of organisations have climbed up in the maturity index and are taking advantage of
their scale and data to aggressively build new business lines. Maturity indicates they
are deriving more benefit from their investments.
• A majority of respondents (38%)
believe that their organization is at an
early stage of adoption
• An equal number believes that they
have reached a mature stage if not
very advanced
• 23% believed their organizations is at
an advanced stage in Data Science
adoption
7. 12 13
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
0
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
0
10%
20%
30%
40%
50%
60%
70%
80%
90%
STATE OF HIRING ANALYTICS WORKFORCE
NET SENTIMENT SCORE ACROSS YEARS
Increase Analytics
Workforce
Decrease Analytics
Workforce
Remain Same
2015 2016 2017 2018 2019
DATA SCIENCE
HIRING PLANS
Next, we asked leaders about their analytics hiring plans for the next 12 months. With
demand for data scientists outstripping supply, hiring Data Science talent poses the
biggest challenge for organisations across the board. Report indicates that companies
are actively looking to increase their bench strength.
• 87% of decision makers plan to
increase their analytics workforce in
next 12 months. This is almost in line
with last few years – 2018 (90%),
2017 (87%), 2016 (94%)
• 12% leaders say that their current
analytics strength will remain the
same in the coming year
We use the hiring plan information to compute the Net Sentiment Score (Calculated as
difference of % respondents with plans to increase hiring and % respondents with plan
to decrease).
• Net Sentiment Score among analytics
leaders in India is at a five year high of
85%. Last year’s score was at 58%
• Overall, Analytics leaders in India
exhibit a strong positive outlook to-
wards the industry this year
8. 14 15
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
0
10%
20%
30%
40%
50%
60%
70%
Grow the
team size
Collaborate
with external
partners
Grow the
existing offerings
Have better
computational
power for
my team
Shrink
existing
offerings
KEY STRATEGIC DECISIONS FOR DATA SCIENCE TEAMS IN ORGANISATIONS
KEY STRATEGIC
DECISIONS
We asked our respondents on the key strategy decisions that they plan for the coming
year in order to grow their business. With data being perceived as a formidable
advantage, leaders are aggressively investing in data infrastructure and analytical talent
to capture more value.
• 65% analytics leaders emphasise
“growing the team size” as the top
priority for the coming year. This is
much higher than a year before at
45%
• 62% are planning to Collaborate with
external partners, almost in line as last
year
• Evidently, most organizations are
increasingly getting inclined to grow
the teams internally than outsource
their data science work
9. 16 17
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
10% 20% 30% 40% 50% 60%0
Unavailability of analytics talent
Little knowledge of analytics
among my end consumer
Procedures/Processes not
standardised
Analytics as discipline
has not grown in offerings
I cannot find the right partners
It’s just too complex
Requires a lot of
computational power
The buzz around analytics
has died down
KEY CHALLENGES ACROSS DATA SCIENCE ORGANISATIONS
KEY CHALLENGES
• ‘Recruiting and Retaining Analytics
Talent’ continues to be the biggest
challenge faced by Data Science
Leaders in India
• 58% decision makers believe that
‘Unavailability of Analytics Talent’ is
the major challenge that they face.
The percentage has gone down from
last year at 70%. Clearly, there’s more
talent supply available right now in the
industry, but the challenge is still top
of mind for more leaders
• 50% of leaders believe that ‘Lit-
tle knowledge of analytics among
customers’ is a major challenge for
them. This remain the same from last
2 year
• “Procedures/ Processes not
standardised” is the third largest
challenge faced by the analytics deci-
sion makers. Almost 35% of leaders
believe to face this as the biggest
hindrance to their business
• Few leaders believe that the data
science buzz is dying down – just 2%
• A majority, 52% respondents believe
that execution speed of algorithms is
a challenge.
• 35% believe that it’s not really a
challenge for them
We specifically asked respondents on whether the execution speed for algorithms
continue to be a challenge for their organisation.
10. 18 19
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
THE TALENT CRUNCH
THAT STILL EXISTS
As we enter the fifth year of surveying
analytics leaders’ sentiment in India, it’s
understandable that some trends will
continue to exist. In this case — the tal-
ent economy in India remains
unchanged with companies continuing
to face a supply gap of analytics talent.
As organisations move up the analyt-
ics ladder, business leaders have to
brace for a new challenge — bridge
the capability gap in their organisation.
Enterprises have to work towards
building the next-gen workforce that has
the skill-set to support new business
models and drive better outcomes.
Another key hurdle companies face is
that there is no clear set of capabilities
for today’s data-driven roles since differ-
ent problems may require different skill
sets. Most organisations are cultivating
talent in-house, but what’s required is a
holistic, multi-pronged approach to build
industry-relevant skills and competen-
cies. The need of the hour is to invest
in high-impact programmes and certifi-
cations in order to meet their business
requirements. To capitalize on the growth
wave, it is imperative for companies and
business leaders to invest in training the
existing workforce in order to meet their
business requirements.
11. 20 21
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
CONCLUSION
Data Science offers the biggest
opportunities to companies to create
value and organisations are increasingly
prioritising it to gain market share. As
market opportunities explode,
organisations are hungry to use data
to grow and improve performance. To
achieve this scale of transformation,
organisations have to make major pivots
in terms of data infrastructure,
capabilities and talent.
A key takeaway is that companies are
now working with technology incubators,
startups and external business partners
to gain access to proprietary technology
platforms, IP and in-demand talent.
External collaborations also allow them
to gain critical digital competencies,
expand their business models and scale
fast.
12. 22 23
DATA SCIENCE LEADERS OUTLOOK IN INDIA 2019
ABOUT ANALYTICS
INDIA MAGAZINE
Founded in 2012, Analytics IndiaMagazine has since been
dedicated to passionately championing and promoting the
analytics ecosystem in India. It chronicles the technological
progress in the space of analytics, artificial intelligence,
data science, big data by highlighting the innovations,
players in the field, challenges shaping the future, through
the promotion and discussion of ideas and thoughts by
smart, ardent, action-oriented individuals who want
to change the world.
Analytics India Magazine has been a pre-eminent source
of news, information and analysis for the Indian analytics
analytics ecosystem by covering opinions, analysis and
insights on the key breakthroughs and developments in
data-driven technologies as well as highlighting
how they are being leverages for future impact.
For more information, visit www.analyticsindiamag.com.
ABOUT
SIMPLILEARN
Simplilearn enables professionals and enterprises to suc-
ceed in the fast-changing digital economy. The company
provides outcome-based online training across digital
technologies and applications such as Big Data, Machine
Learning, AI, Cloud Computing, Cyber Security, Digital
Marketing and other emerging technologies. Based in San
Francisco, CA, Raleigh, NC and Bangalore, India; Simpli-
learn has helped more than one million professionals and
1,000 companies across 150 countries get trained, acquire
certifications and reach their business and career goals.
The company’s high-engagement curriculum blends self-
paced online learning, instructor-led live virtual classrooms,
hands-on projects, student collaboration and 24/7 global
teaching assistance. Simplilearn is a GSA IT-70 contract
holder and was recognized by Training Industry as a Top 20
Online Learning Library Company of 2018.
For more information, visit Simplilearn.com.