Accelerating Business Growth and Innovation with Advanced Data Analytics Services and Solutions

the relentless pace of change in the business environment has meant that data and analytics-led insights are more crucial than ever before. data analytics and ai are now an integral part of all business conversations. having said that, i think a lot of the client cxos that i talk to express four or five challenges that they are faced with.

number one, i think they've got the data infrastructure in some shape and form, but they struggle to monetize it in the most effective manner.

two, they've deployed analytical models, but their legacy models have not been upgraded or updated with the latest techniques and therefore they're not always very relevant.

three, they are dabbling with ai in small pockets and use cases, but don't know how to scale them at a company-wide level. their models are based on legacy techniques, they've not been able to infuse machine learning components, within that. the data ecosystem is changing because the underlying technology landscape is changing, and therefore how do you bring in the latest data governance, data quality mechanisms, etc., are questions that they are faced with. finally, when they have a lot of these things in place, sometimes they don't get business buy-in.

there is obviously the challenge of cloud. organizations are trying to figure out which cloud to move to and move their data loads into the cloud – so, that's also a priority for cxos.

all these companies are in a situation where sometimes they've got the appropriate data and analytics strategy, but then they don't have the execution roadmap or the tools or the talent that is required to do that. at many places, they don't necessarily have the most appropriate strategy, they don't have either the budgets or the buy-in and that's because they're not able to bring it to a logical shape and form, which makes it deployable into their businesses and then finally start seeing the roi of these programs. this is where i think wns triange can make a lot of difference to clients' challenges. first and foremost, it helps ask the right questions. two, it helps identify critical data and analytics challenges. three, it defines clear goals and objectives of your data and analytics program. and fourth, it helps build an execution roadmap, but also actually helps execute the data analytics program.

at wns triange, what we deliver for our clients is encapsulated into three core pillars:

the first one is what we call triange consult – now, this is where we set the right foundation for our clients' data analytics and ai needs. right from the initial road-mapping exercise to gap analysis to change management frameworks to governance standards and processes, everything that will help clients simplify and demystify their data and analytics challenges and complexities is what wns triange consult does. it essentially helps with setting right the strategy and the roadmap.

the second component is called triange nxt – now, we provide a futuristic edge to businesses by combining intelligent cloud platforms with pre-built data connectors, analytics & ai models, all customized according to the industries and use cases that we see frequently being deployed by clients. the triange nxt platform essentially accelerates time-to-execution and time-to-value.

the third pillar of wns triange is what we call the triange center of excellence (triange coe) - this is where we set up a program for data analytics and ai ops in a steady-state environment. the idea is that we bring together the best delivery frameworks, the best functional expertise, technology best practices and governance mechanisms that allow for steady-state de-risked data and analytics program. the idea is that once you've set the strategy, you brought in the best accelerators, practices, made the right choices of technologies and partnerships, you want to then deploy the analytical programs at scale in a steady-state environment delivering tremendous value on a continuous basis and keep upgrading the system and that is what the center of excellence allows you to do.

now, the reason why wns triange succeeds is not only because of these three core pillars that i described, but also the way in which we go about executing them. our industry expertise, strong data analytics heritage, our co-creation labs where we co-create solutions with our clients whether in london, new york, pune or other locations wherever our labs are present, our strategic partnerships with cloud hyperscalers, ai startups and academia, a very solid delivery record, and finally our commercial constructs where we got our skin in the game is what i believe make wns triange an ideal data, analytics and ai partner.

now, at whatever stage of the data and analytics journey your organization may be, wns triange allows itself to be plugged-in at that stage and we will work with you to co-create solutions and deliver the outcomes that you're looking for. and i think that's why wns triange allows us to work with you to create a sustainable path to your growth and innovation.

thank you.