Analytics

Best practices for selecting best Master Data Management (MDM)

11th Jun `14, 03:39 PM in Analytics

Fueled by the cloud-first IT strategies of many organizations, the adoption of software as a service (SaaS) presents…

BDMS
Guest Contributor
 

Fueled by the cloud-first IT strategies of many organizations, the adoption of software as a service (SaaS) presents enterprises with hybrid IT, creating a significant new data management headache. Here massive volumes of disparate cloud-based information exist that must be integrated with data stored on existing on-premises infrastructure. Such an environment makes it profoundly more difficult to maintain data quality and governance processes—assuming that an organization has such processes in place.

IDC predicts that “SaaS delivery will significantly outpace traditional software product delivery, growing nearly five times faster than the software market as a whole and becoming the significant growth driver to all functional software markets.” The firm expects that by 2017, cloud software will grow to $76.1 billion and account for $1.00 of every $6.00 spent on software. [Source: IDC, Worldwide SaaS and Cloud Software 2013-2017 Forecast and 2012 Vendor Shares, Doc #245084, Dec 2013.]

As a result, the only way to help ensure data quality and governance in a hybrid IT environment is to employ a cloud-based Master Data Management (MDM) solution that works with any combination of cloud and on-premises applications. Doing so reduces the complexity and cost for IT to add new applications and data sources while scaling the solution to meet future needs.

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