Wipro’s Data Discovery Platform

Wipro’s Data Discovery Platform works at the conﬂuence of the technology and business nerves of data-driven organizations. It is an exploratory analytics platform, hosted on the Google Cloud Platform and is offered in an Insights-as-a-Service model that makes it easy for organizations to consume insights and not worry about the tools, technologies involved in getting there.

Highlights:

Set of open source and Cloud technologies in a single platform architecture to accelerate the data-to-decisions value chain.
Enables analytical experiments with data of any volume, variety and velocity to derive insights, leveraging the suite of services offered by the Google Cloud Platform.
Modular, ‘app-driven’ model enables ﬂexibility and scalability to meet the growing needs of a data-driven intelligent enterprise.

Move towards an insights-driven intelligent enterprise with Data Discovery Platform:

Insights on:

What happened?
Why did it happen?
What will happen?
What should I do about it?

Delivered through

Business data stories
Visualizations
Analytical models
KPI libraries

Packaged components

Data ingestion
Data wrangling routines
Canonical data models
Workﬂow
- Advanced visualizations – Vivid and intuitive representations of insights delivered through business data stories
- Accelerators for automation – Integration of accelerators across the value chain of data science process such as data exploration, data wrangling, model validation, and data management
- Vertical focused apps – Use-cases that provide pertinent insights for focused industry problems
- Advanced algorithms – Open source focused platform. Integration with H2O.ai that enables advanced algorithms for AI /ML
- Real time – API based access to prebuilt models and data that allows real time analytics implementation
- Unstructured data – Designed to handle high volume, variety and velocity of data across structured, text, audio, and image data

Range of analytics

Descriptive - Analyze past events from historical data and the patterns it creates
Diagnostic – Mine historical data to analyze past performance and examine possible reasons for success/failure
Predictive – Analyze data to determine the probability of a future event
Prescriptive – Recommend decisions and options for a future event to yield success or mitigate possible risk

Key benefits

Enable an insights-driven enterprise
Faster time to market
Reduced TCO
Increased “analytical throughput”

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