Analytics platform for operational insights

Selenium | Pytest | Python | Browserstack | GitHub

A reusable cloud based Big Data Platform with advanced analytics and visualization that provides insights into the health of IT operations.

Challenge

An innovative multinational biopharmaceutical company with a workforce of more than 100,000 and 800-plus HCP-facing websites needed a common platform to provide insights into its IT maintenance, deployment, internal support tickets and usage statistics. The client wanted an analytics platform to process data from multiple data sources and generate dashboards to view the health of all IT assets.

Challenge

Approach

Organizations often struggle to make informed business decisions due to fragmented and heterogeneous data sources. Unlocking actionable insights requires a unified, 360-degree view of operational data, but achieving this at scale is a complex undertaking.

Newpage’s Architects and Data Engineers collaborated to develop a scalable platform capable of processing and storing IT operations data from numerous sources. The platform was engineered to accelerate the onboarding of new data sources through the use of pre-built, tested, and proven technology components and processes. This reusable architecture minimized implementation timelines and reduced operational complexity.

Approach

Results

Leveraging our expertise in Big Data solutions and close collaboration with the client Business and Technical teams, we developed a platform that addressed pressing analytical needs and future-proofing client as they grow and innovate. The solution enabled:

  • Cost savings and improved visibility into IT operations.
  • A reusable cloud-based Big Data platform with customized data analytics and visualization.
  • Minimized human error and data integrity issues via enterprise-level capability that enables the collection, integration and analysis of multi-dimensional data; and
  • Reduced overhead and enabled better maintainence as a result of automation and a holistic view of the IT assets.

Results

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