Item: IBM Knowledge Catalog
Rating: 7
Author: Vinay Pushkarna, B.Eng, MBA

Use Cases and Deployment Scope

Data Catalogue is still not a widely adopted concept particularly because of the maturity level of information technology as a concept in capital intensive industries. I can speak particularly for the Energy sector where there is a gradual shift towards managing data as a service. Efforts are being made to look at the holistic system capabilities and IBM Watson Knowledge Catalogue definitely made the cut.

Pros and Cons

Ready to use data catalog experience with years of IBM consulting experience is helpful.
Particularly helpful if the client is in the IBM ecosystem like IBM Maximo.
Effective asset data management ready to deploy tools.

I think an industry-specific data catalog service will be good.
Effective alignment of IBM consulting services and bringing in an Industry point of view will be great.
Effective reach out like roadshows, etc. will be good.

Return on Investment

Too early to determine ROI.
I have had cases where IBM Watson has been offered with a suite of services
With strengths in enterprise asset management, it has a lot of potential to be the platform of choice.

Alternatives Considered

Azure Active Directory

Azure is definitely a strong competition considering that it has machine learning capabilities too.

Other Software Used

IBM Analytics Engine

Likelihood to Recommend

I think clients who are already on the IBM Ecosystem will immensely benefit from this tool. Also, it depends on the long term strategy of the organization. If the long term goal is to develop an Operations Business Intelligence Platform then tools provided by the IBM Watson Knowledge Catalog platform will be really good.

Watson a great platform for strong Information management and analytics

Overall Satisfaction with IBM Watson Knowledge Catalog