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Big Data Analytics & Data Lakes
Store Everything, Analyze Anything With Real-Time Data Processing
Leverage a cutting-edge Big Data framework on the cloud to experiment and explore new data sources with unprecedented scale and flexibility
Data Lake supporting full range of structured and unstructured data sources across all functional areas
Proactive exploration of business questions, redundant KPIs and adaptation to market trends to gain competitive advantage
Strong governance process to manage time and cost implications
Contextual insights to engage with relevant consumer driven market and build a complete and accurate picture of a customer’s digital footprint
Uncover Actionable Insights And Drive Innovation
Allowing business and data scientists to access data securely to provide actionable insights readily
Enabling pre-processing in the cloud using suitable tools, saving 90% analysts’ time, allowing them to focus on analysis
Decreasing dependency and usage of expensive and unsuitable tools like SAS for pre-processing, saving license costs
Reduce fraudulent use of data
Customer Success Stories
Pharma companies collect a variety of commercial healthcare data, which comes with its own set of challenges. In the absence of an agile and robust platform to ingest, process, and ...
Converting big data into meaningful information is a growing challenge. For pharma and healthcare, making sense of unstructured data presents an opportunity to get a deeper underst ...
Small to Mid-Sized Businesses (SMBs) today need speed, agility and control in their go-to-market (GTM) strategy and execution plans. Data Management, often overlooked, presents its ...
Axtria Research Hub
Perspectives On The Design And Effectiveness Of Pharma Sales Contests
Do Pharma Mergers And Acquisitions Improve R&D Productivity And Increase Shareholder Value?
Future Of Pharma: Evolving Commercial Models – Part 2
Four Pillars Of The Fourth Industrial Revolution for Life Sciences
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