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REVO Data Manager

enables out-of-the-box data lake using use case specific stencils

REVO Data Manager enables data integration and management via Amazon Web Services. Built on industry-grade Hadoop and big data technologies, REVO Data Manager empowers users at life sciences companies to access and leverage various data sources themselves. With its highly intuitive interface and defined user journey, data engineers and non-technical users can quickly select and ingest a variety of data to conduct their analysis, all without a technical team. It supports end-to-end data services to prepare analytics-ready data sets, including data connectors, configurable DQM checks and transformation modules.

With REVO Data Manager, you’ll be able to

  • Access and leverage industry data sources—Veeva CRM, Salesforce, FTP, RDBMS, S3 and more—with numerous data connectors, saving time that would usually be spent arranging and checking data

  • Create data sets with ready-to-use, industry-relevant business rules from the modular business rules engine

  • Efficiently manage on-demand scalability provided by AWS Elastic MapReduce

  • Prepare high-quality data sets with the integrated data quality management engine and integrated statistical analytics modules

MORE REVO ANALYTICS PRODUCTS

  • REVO ANALYTICS WORKBENCH

    REVO Analytics Workbench supports organizations to accelerate and enable innovation by managing tools and technologies required to create and manage data labs. It supports self-serve data analysis, creating visualization and building AI/ML models on the data labs. It is a powerful application in the hands of data analysts, data scientists and even business users who want to leverage the cloud for quick analysis to understand newer use-cases.

  • REVO ALGORITHM LIBRARY AND ALGORITHM SERVICE

    REVO Algorithm Library and Algorithm Service simplifies and accelerates data science and machine learning in a scalable fashion. It enables clients to perform self-serve advanced data analytics, provides a robust infrastructure to run complex algorithms, and offers a rich algorithm library to host various algorithms.

  • REVO DATA CATALOG

    REVO Data Catalog is a web-based, collaborative data governance and cataloging application that breaks down data silos in organizations. It ensures all users can find the data they need; view metadata, sample data and data dictionaries; and then collaborate on it, easily understand its meaning and maximize its value.

  • REVO DATA MASTERING

    REVO Data Mastering is an application built for life science data mastering use-cases like HCP, HCO and Affiliations. It is driven by a unique library of pre-built adaptors for various pharma data sources, specific DQM checks, LOV’s and Standardization rules. These data sources are transformed into the canonical model where fuzzy matching and survivorship rules are applied.

  • REVO DATA HUB

    REVO Data Hub provides an intuitive interface to the business users and system administrators for complete visibility and control over data and analytics processes. This self-service portal provides ingestion and extraction capabilities for ad-hoc data from various sources in different file formats and blends it with raw or processed data in a data lake.

ABOUT THE EXPERTS

Authors
Dharmendra Sahay
Managing Principal

Dharmendra Sahay is the global leader of integrated analytics solutions, including ZS’s business technology and product development capabilities.

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Authors
Kapil Nayyar
Principal

Kapil Nayyar is the global leader of REVO Analytics platform, focused on large transformation initiatives and big data technologies.

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Authors
Nitesh Baranwal
Product Line Manager

Nitesh Baranwal has over 11 years of experience in designing and developing enterprise products focused on analytics for the Pharmaceutical industry.

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