• How do we attain higher cost efficiencies beyond what we (and everyone else) has already got through labor arbitrage in offshoring
• How do we enhance efficiencies (ROI) of our operations and make it aligned to overall business objectives
• How do we acquire new customers and meet our growth targets in stagnant markets
• What can we do to retain best customers who are having a plethora of choice anyways from multitude of competitors
• How do we manage risk and fraud exposure in our business, while trying to achieve all the above.
• What do we need to do to become compliant with regulatory requirements applicable to us

It is quite obvious that the challenges are not perhaps all very unique to today’s times. They have existed in businesses for maybe more than 75 years. But what is very interesting is how executives are trying to address them now. Till maybe 10 years back, they would have said, the existing reporting and MIS on their businesses should be able to answer some of these. And for everything else, let’s do a test and learn kind of pilot based on our gut-feel.

Its only now, some of the executives are starting to ask, can we answer these questions more systematically? Can we have a scientific way of addressing these challenges? Can we adopt a fact based approach instead of gut-feel or test and learn? This is where analytics is becoming important in today’s business world.

It is enabling businesses to mine large volumes of data of their operations, customers, environment etc. and make informed decisions based on meaningful insights from data. Businesses are learning the fact that by deploying sophisticated analytics, they can build deep understanding of their customers, operations and business environment. Their decision making can become more insightful, accurate and faster. They are thus seeing deploying analytics as a move to not just become smart about their business but also to gain significant competitive advantage. This is the change in mindset that we are witnessing through almost 40%+ growth of analytics industry today.

2) Can you help understand the value proposition of Analytics Services practice of Inductis?

Analytics Services practice at Inductis is all about strengthening analytics capabilities of our clients to achieve better results through a scalable and cost-effective global analytics delivery model. .

We provide data mining, data management and analytics solutions to our clients through a cost-effective, ongoing support in their Marketing, Risk and Operations areas. Our cross-functional, dual shore delivery teams provide clients the full spectrum of analytical services ranging from data maintenance and management to predictive analytics and scorecard building.

We work flexibly with our clients on multiple working arrangements options ranging from short duration pilots to repetitive analytic task management (such as campaign management or report generation) to dedicated resource/staff augmentation (of statistically trained, business insight team members) over multi-year arrangements.

3) Who should be interested in your services?

We have strong experience in Financial Services and Insurance verticals and work closely with some of the leading Fortune 500 clients in these industries. In Financial Services, our offerings are targeted at key decision makers of Marketing, Risk, Operations and Decision Sciences departments within companies. In Insurance vertical, we work closely with key decision makers of Claims, Marketing, Customer Service, Capacity Planning and MIS departments.

In addition, we work significantly across Utilities and Mortgage industries as well.

4) Where do you see yourself going from here?

We want to become a leading India based third party analytics services provider. We would thus aggressively continue to build our analytics services practice and be a trusted partner for our clients on long term basis. We will expand our offerings across retail, media and airlines industries as the market becomes ready for the same.

We have built a strong presence in US. While we continue to be focused there, we plan to expand and strengthen our client relationships across UK and South East Asia geographies. We will tap into relationships of our parent company EXL and carve strong analytics presence in those accounts.

Internally, we will continue to invest in our analytics methodologies and deep domain expertise for enabling us to serve our clients better. We will continue to benchmark ourselves in the industry through appropriate participation in data mining and modeling competitions. Our earlier participation and worldwide ranking within top 3 has amply demonstrated that in the past and we will continually strive to be at the top in the future.