Gartner Research

Determine Whether Data as a Service Is a Suitable Architecture for Your Digital Business Strategy

Summary

Digital business initiatives have introduced a "do it yourself" attitude that is encouraging citizen integrators to promote their data integration work as enterprise-capable. Data and analytics leaders must establish a level of governance over these new data-as-a-service components.

Published: 08 November 2016

ID: G00307837

Analyst(s): Ehtisham Zaidi Mark Beyer Eric Thoo

Table Of Contents
  • Key Challenges

Introduction

  • Definition of DaaS

Analysis

  • Identify Use Cases That Would Benefit From DaaS and Its Ability to Deliver Integrated Data From a Proliferation of Data Sources, and Then Expand and Complement Your Existing Data Management Strategy to Incorporate DaaS
    • Use Targeted DaaS Components to Acquire Internal and External Data Sources in a Flexible Manner
    • Investigate Existing Market Offerings That Have Advanced DaaS Provisioning Capabilities
    • Use DaaS to Enable Building and Delivering Data Assets Representing Data Products Used in Analyses
  • Inculcate These Guiding Principles and Best Practices for Applying DaaS and Mitigating Potential Issues and Risks With It
    • Mitigate Potential Concerns and Risks With DaaS

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