Unlock The Emerging Data Governance Trends in “MDM SaaS” for 2016

As 2016 roll in, Master data management (MDM) SaaS is no longer just another object kept in your data driven organization. It is successfully playing a pivotal part in empowering the business users and data stewards to improve the data quality, together. 

With the explosion of data volumes and the wide adoption of cloud and mobile technologies, frontline business users have already started adapting new breed of data-driven applications along with MDM as a conventional yet profitable foundation. 

To determine and leverage strategic data-driven opportunities for the running year, enterprises should take stock of the latest data trends and how they can successfully harness the benefits. 

Significant Data Governance Trends to Watch in 2016:

1. MDM Solutions with Graph Databases:

Based on recent trends and some emerging analyst research, those companies that are serious about their data and traveling the long road to becoming data-driven organizations are soon embracing Graph Databases in their MDM technology for taking their master data management to a whole new level. Analysts like Forrester’s Michele Goetz have pointed out the disruptive potential of Graph DBs for MDM. (See “Disruption Coming for MDM – The Hub of Context”) 

The NEWS:

Anticipating more?  Why not stay the full week for a good dose of Business Intelligence and Analytics to leverage the trusted data you just governed: Texas, March 14-16, 2016 and London, UK, February 29-March 1 2016.

“MDM Solutions with Graph Databases”- (refer slide 3-10)

http://www.slideshare.net/neo4j/graphs-in-the-real-world

2. Hybrid Cloud Adoption: 

“The figure above shows different kinds of clouds along with SaaS, forming an overall hybrid cloud, in this setup and how they are interrelated”

Enterprises’ have increased the adoption of hybrid public and private cloud environments and apps have presented further opportunities for improving enterprise information governance.

And the good news is that the data management market has quickly got matured to offer more holistic technologies and approaches that enable enterprises to quickly synthesize data from multiple types of sources, as well as include constituents from multiple lines of business in unison with the CIO and chief data officer – says Rex Ahlstrom, a worldwide leader in information governance and data migration solutions.

3.    Big Data Governance (Security, Access And Implications) And Master Data For Context:

The sheer volumes of Big Data, which are also exacerbated by the ever broadening number of sources of different types of data that Big Data facilitates, can overwhelm organizations without rigid Data Governance and Data Quality measures in place.

Big Data Quality controls like Master data on SaaS platform can play a substantial role in implementing Big Data Governance and mitigating some of the complications for governance that Big Data inherently has.

These trends present powerful opportunities for establishing best-in-class data governance and ultimately data orchestration programs that not only drive consistent, reliable data quality and analytic results, but also yield predictable bottom-line business outcomes.