As a first step, before we dig deeper into the data exploration and analysis phase, we need to identify the gold mines in data. In the previous chapter, we designed the heuristic-driven hypotheses (HDH) while defining the problem. We now need to revisit the list and explore it to understand whether we are in a position to solve the problem using the data. We will be able to do this by examining and validating the data sources for the identified hypotheses. In case we do not have data to prove/disprove majority of our important hypotheses, it would not add any value by proceeding any further with the current approach. With data being available, we can get our hands dirty with codes for the solution.
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You're reading from Smarter Decisions - The Intersection of Internet of Things and Decision Science
Jojo Moolayil is a data scientist, living in Bengaluru—the silicon valley of India. With over
4 years of industrial experience in Decision Science and IoT, he has worked with industry leaders on high impact and critical projects across multiple verticals. He is currently associated with GE, the pioneer and leader in data science for Industrial IoT.
Jojo was born and raised in Pune, India and graduated from University of Pune with a
major in information technology engineering. With a vision to solve problems at scale, Jojo found solace in decision science and learnt to solve a variety of problems across multiple industry verticals early in his career. He started his career with Mu Sigma Inc., the world's largest pure play analytics provider where he worked with the leaders of many fortune 50 clients. With the passion to solve increasingly complex problems, Jojo touch based with Internet of Things and found deep interest in the very promising area of consumer and industrial IoT. One of the early enthusiasts to venture into IoT analytics, Jojo converged his learnings from decision science to bring the problem solving frameworks and his learnings from data and decision science to IoT.
To cement his foundations in industrial IoT and scale the impact of the problem solving
experiments, he joined a fast growing IoT Analytics startup called Flutura based in
Bangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoT
and specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced his
problem solving skills for M2M and Industrial IoT while working for the world's leading
manufacturing giant and lighting solutions providers. His quest for solving problems at
scale brought the 'product' dimension in him naturally and soon he also ventured into
developing data science products and platforms.
After a short stint with Flutura, Jojo moved on to work with the leaders of Industrial IoT,
that is, G.E. in Bangalore, where he focused on solving decision science problems for
Industrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing data
science and decision science products and platforms for Industrial IoT.
Read more about Jojo Moolayil
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Author (1)
Jojo Moolayil is a data scientist, living in Bengaluru—the silicon valley of India. With over
4 years of industrial experience in Decision Science and IoT, he has worked with industry leaders on high impact and critical projects across multiple verticals. He is currently associated with GE, the pioneer and leader in data science for Industrial IoT.
Jojo was born and raised in Pune, India and graduated from University of Pune with a
major in information technology engineering. With a vision to solve problems at scale, Jojo found solace in decision science and learnt to solve a variety of problems across multiple industry verticals early in his career. He started his career with Mu Sigma Inc., the world's largest pure play analytics provider where he worked with the leaders of many fortune 50 clients. With the passion to solve increasingly complex problems, Jojo touch based with Internet of Things and found deep interest in the very promising area of consumer and industrial IoT. One of the early enthusiasts to venture into IoT analytics, Jojo converged his learnings from decision science to bring the problem solving frameworks and his learnings from data and decision science to IoT.
To cement his foundations in industrial IoT and scale the impact of the problem solving
experiments, he joined a fast growing IoT Analytics startup called Flutura based in
Bangalore and headquartered in the valley. Flutura focuses exclusively on Industrial IoT
and specializes in analytics for M2M data. It is with Flutura, where Jojo reinforced his
problem solving skills for M2M and Industrial IoT while working for the world's leading
manufacturing giant and lighting solutions providers. His quest for solving problems at
scale brought the 'product' dimension in him naturally and soon he also ventured into
developing data science products and platforms.
After a short stint with Flutura, Jojo moved on to work with the leaders of Industrial IoT,
that is, G.E. in Bangalore, where he focused on solving decision science problems for
Industrial IoT use cases. As a part of his role in GE, Jojo also focuses on developing data
science and decision science products and platforms for Industrial IoT.
Read more about Jojo Moolayil