मैगज़्टर गोल्ड के साथ असीमित हो जाओ

मैगज़्टर गोल्ड के साथ असीमित हो जाओ

10,000 से अधिक पत्रिकाओं, समाचार पत्रों और प्रीमियम कहानियों तक असीमित पहुंच प्राप्त करें सिर्फ

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PCQuest

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May 2017

We spoke to Manish Mittal, Managing Principal and Head of Global Delivery, Axtria to understand the challenges organizations face in implementing Big Data solutions.

Q. A brief background about your organization and the journey so far. 

We created Axtria because we saw both a tremendous opportunity and an unmet need in the market place. Data sources were exploding in volume and variety, and there had never been such an opportunity to optimize commercial decision making with data driven insights. Everyone was talking about the buzz word Big Data, but very few were aware about what to do with it.

Despite such opportunity, there was a real gap in the ability to deliver on the vision. The answer wasn’t a product or technology or something your traditional IT services or management consulting firms could deliver. It needed a different approach and a new combination of analytical people, process and data science technology, with deep domain experience, technical skills and most importantly an understanding of the industry data itself.

We created Axtria in 2009 to address this unmet need in a new way. We chose to focus on Life Sciences and Financial Services industries and invested heavily in domain experience. We strived for success by adding value to our customers. We delivered a specialized approach to deal with raw data. We also saw a tremendous opportunity with the cloud. As the industry moved at pace and data sources continued to grow, it would provide a platform of agility, flexibility and scalability.

Our journey has been very exciting and we have not looked back since. Driving a culture obsessed with customer satisfaction, we continue to grow at pace. In just over 7 years, we now have more than 850 employees across North America, India and Europe.

We have over 65 customers, including 8 out of the top 10 life science companies and 2 of the top 5 banks.

1. What are the key industry verticals that need data analytics and how does this technology help them? 

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