Market Guide for Data Preparation

Archived Published: 14 December 2017 ID: G00315888

Analyst(s): | |

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Data preparation — the most time-consuming task in analytics and BI — is evolving from a self-service activity to an enterprise imperative. We profile 28 data preparation tools for data and analytics leaders to consider to accelerate agile data preparation for a range of distributed content authors.

Table of Contents

  • Market Definition
    • Rapid Proliferation of Data and Analytics Demand Creates the Need for Data Preparation
      • The Data Preparation Process
      • Capabilities Needed in a Modern Data Preparation Tool
      • Operationalization of Data Preparation Flows
  • Market Direction
    • Overall Market Outlook
  • Market Analysis
    • The Four Segments of the Data Preparation Tool Market
  • Representative Vendors
    • Alteryx
    • Cambridge Semantics
    • ClearStory Data
    • Datameer
    • Datawatch
    • IBM
    • Lavastorm
    • Lore IO
    • Oracle
    • Paxata
    • Rapid Insight
    • SAP
    • SAS
    • Talend
    • Tamr
    • TMMData
    • Trifacta
    • Unifi
    • Capabilities Offered by Data Preparation Tools
      • Support for Diverse Data Sources and Data Types
      • Data Exploration Capabilities
      • User Collaboration Capabilities
      • Data Transformation, Blending and Modeling Capabilities
      • Capabilities Supporting Information Governance and Stewardship
      • Capabilities to Support Metadata Management
      • Other Differentiating Capabilities for Data Preparation Tools
  • Market Recommendations
  • Gartner Recommended Reading
© 2017 Gartner, Inc. and/or its Affiliates. All Rights Reserved. Reproduction and distribution of this publication in any form without prior written permission is forbidden. The information contained herein has been obtained from sources believed to be reliable. Gartner disclaims all warranties as to the accuracy, completeness or adequacy of such information. Although Gartners research may discuss legal issues related to the information technology business, Gartner does not provide legal advice or services and its research should not be construed or used as such. Gartner shall have no liability for errors, omissions or inadequacies in the information contained herein or for interpretations thereof. The opinions expressed herein are subject to change without notice.

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