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”

Service Offerings

Service Offerings

Client Themes

Client Themes

Wipro’s Data Discovery Platform

Service Offerings

Industries

Cloud

Cybersecurity

Digital

EngineeringNXT

Holmes

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