- Usage Scenarios
- Key Takeaways
- Disruption Vectors
- Company Analysis
- About the Author: William McKnight
- About Gigaom Research
This Sector Roadmap is focused on master data management (MDM) selection for multiple data domains across the enterprise. We eliminated all MDM products that may have been well positioned and viable for certain use cases or single domains—i.e., focused on product or customer—but deficient in other areas and our selected use cases, which are designed for high relevance for years to come. In most cases, an MDM tool capable of addressing a majority or all of the data ecosystem should be pursued by an enterprise.
Organizations today need to take advantage of the numerous relevant data platforms, while maintaining a central repository where governance can act and quality can be assured. Managing the data effectively is a key indicator of success in analytics. Progressive organizations have more data platforms than ever before, and there is a clear need to bring key data together for the entire company. However, with hybrid and cloud architectures—key data from sources and for target systems distributed among on-premises, cloud, and third party systems—the data management challenge is moving exponentially.
Success in data, analytics, and even their business is concomitant to an organization’s ability to master data with a modern platform and mature process. Those who struggle with master data struggle in most other data areas as well. Those who are successful usually are successful leveraging their data for business gain.
In this Sector Roadmap, vendor solutions are evaluated over seven Disruption Vectors: cloud offerings, collaborative data management, going beyond traditional hierarchies, big data integration, machine learning-enabled, APIs and data-as-a-service, and onboard analytics.
Key findings in our analysis include:
Number indicates company’s relative strength across all vectors
Size of ball indicates company’s relative strength along individual vector