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Author: Rajiv Diwan, Practice Head- Advanced Analytics


Rajiv Diwan heads the Advanced Analytics Practice at ITL and is responsible for both – customer acquisition and defining solution offerings of the Practice. He has setup the CoE on Machine Learning from scratch at ITL and has been instrumental in penetrating into new verticals for ITL; including BFSI. Rajiv is engineering graduate from BIT, Bangalore with specialization in Computer Science; having over 18 years of experience in Analytics, Data warehousing, BI and Large Program Management. He has earlier worked with organizations such as Wipro, Polaris Financial Technologies, Saksoft delivering solutions for BFSI, Manufacturing & E-Governance verticals.

Predictive Customer Churn Analysis Modelling in Banking Sector, 18 Jan 2018 in ANALYTICS

In today’s competitive commercial arena, customer-retention has become a pressing issue for banks, with heightened competition and increased regulations making it difficult to stand apart from the sea of available… Read More


Social Sentiment Analysis for Good Governance, 17 Jan 2018 in ANALYTICS

We live in an age of near-ubiquitous communication platforms and advanced analytic capabilities; sentiment analysis of social media, thus, holds huge potential for both the private and public sector. The… Read More


Data Analytics and Fraud Prevention: An Insight, 14 Dec 2017 in ANALYTICS

As the world economy and our lives rapidly move on to digital platforms, government and financial organizations worldwide are facing new sets of problems, in trying to protect the interest… Read More


Data Centers and e-Governance: The Future, 06 Dec 2017 in ANALYTICS&E-GOVERNANCE

Data center infrastructure and services is a large, emerging market worldwide. However, when it comes to governance, currently a handful of countries have the basic infrastructure and policies, readily available… Read More


Credit Scoring Using Alternate Data, 04 Dec 2017 in ANALYTICS

Access to centralized, accurate credit histories is taken for granted in many parts of the world, however, that is not the case in India, wherein nearly 80% of the adult… Read More


Tax Analytics: An Overview, 29 Nov 2017 in ANALYTICS

Tax data-gathering has traditionally focused on retrospective, dealing with transactions that have already happened, be it in terms of business planning, compliance, income-tax etc. While hindsight is an important aspect,… Read More


From Unstructured to Structured Data: Looking Beyond Traditional Problem-Solving to Business Strategy, 03 Nov 2017 in ANALYTICS

In today’s age of technology-driven industry, data is what can be termed as our competitive currency. Buried deep within the immeasurable volumes of raw data generated by social media, transactional… Read More


Machine Learning and Smart Cities: Building a Flexible ‘City Command and Control Centre’, 31 Oct 2017 in ANALYTICS

The creation of a Smart City is the melting pot for a multitude of complex and inter-dependent problems. This is where city authorities are expected to step in and proactively… Read More


Data-Driven Governance: An Indian Perspective, 25 Oct 2017 in ANALYTICS

The biggest issue in collective data today, when it comes to governance is not the absence of it, but its presence in large disaggregated sets which hinder maximum potential utilization.… Read More