MDM in the Cloud
One of the biggest impediments to Master Data Management (MDM) projects is that they can be hard to get started. An enterprise has lots of people and lots of groups who all stand to benefit from improved data quality, structured data governance, and systematic master data management. But the very fact that so many people stand to gain from it is also a reason why it’s slow to start. Gathering requirements and opinions from everyone takes time.
One of the best ways to get quick agreement about what the scope for the first iteration of an MDM project is to generate a quick proof-of-concept or proof-of-value prototype. And one of the quickest ways to get started on an MDM prototype is by using software that’s completely pre-installed and pre-configured. This can lead to better alignment about what will be possible in an MDM project ensuring that a project will be more successful.
The cloud is a natural fit for this.
Amazon’s AWS Marketplace provides an environment where it’s easy to find software that’s relevant to your needs and get it launched instantly without any up-front costs. When I worked at Jaspersoft I invested quite a bit of time into getting a pre-configured JasperReports Server instance available and in making it easy for people to use Business Intelligence (BI) in the cloud. It was a natural fit especially for anyone who already had data in Amazon RDS or Redshift. The time we invested in that paid off nicely as customers flocked to it. Sales are way up; the reviews are great; and it should serve as a model and an inspiration to other vendors considering cloud offerings.
Semarchy in the Cloud
While business intelligence offerings in the cloud are legion, traditional Master Data Management vendors have been much too slow to embrace the cloud. The industry has taken baby steps. For example, Informatica purchased Data Scout and sells this as their SaaS MDM Salesforce.com plug-in solution. It’s a great utility for salesforce.com, but I don’t put it into the same class as enterprise MDM. Other SaaS MDM solutions are similar.
At Semarchy I see the cloud as an excellent vehicle for putting enterprise MDM into the hands of more users. You can have a fully functional MDM server running in an Amazon Virtual Private Cloud (VPC) in less than an hour. It’s accessible to only people from your company, and it’s ready for you to model your master data management requirements and to start fuzzy-matching and de-duplicating your data.
I expect other vendors to follow eventually. The net result will be improved solutions available to data management professionals everywhere. I’m pleased that Semarchy is leading the way.