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Where is your Center of Data Gravity in the era of Digital Abundance?

Shamanth Shankar

By Shamanth Shankar

On March 21, 2017

Gartner’s Data and Analytics Summit at Grapevine, Texas brought around 3000 like minded individuals for five days (3/5 – 3/9) under the theme of “Lead in the Age of Infinite Possibilities.” It was an engaging conference right from Debra Logan and Kurt’s Schlegel’s opening keynote of countering the scarcity of trust, value and insights with the digital abundance: people, process and technology.

Key takeaways from the keynote were

  • Leadership needs to lead with a vision to drive business outcomes through a data-related cultural change.
  • Traditional Data Management models need to evolve with scale, volume and expectation of real-time service levels.
  • Data Governance needs to be transformed into a business enabler.

Data Governance needs to be transformed into a business enabler

Nick Heudecker’s session on Hadoop and Spark walked the audience through what they should consider as they adopt Hadoop and Spark to power their Data Strategy. Trends indicate that end users do not use the whole stack for their enterprises. Hadoop allows users to store large amounts of data and batch process it efficiently and primarily used to address ETL and file management use cases. Spark was developed to make ML faster and easier and the uses cases being addressed by Spark include Data Integration, log processing, IoT streaming data, Advanced Analytics and more.

By 2017, 70% of new database deployments will leverage the cloud.

The Cloud topic was addressed in many sessions. By 2017, 70% of new database deployments will leverage the cloud. SMBs will almost exclusively use the cloud. Data Gravity was a good way of expressing how to chose cloud vs. on premise strategy. So it is not just cost (short term vs. long term or CapEx vs. OpEx) the recommendation at the summit was to let data reside where it is comfortable then move it to an unnatural setting. As most of the applications are moving to cloud, the center of data gravity is shifting to the cloud. As a result, MDM is getting pulled and it is logical for MDM to move into the cloud.

MDM on the cloud is on the rise

MDM on the cloud is on the rise. There are challenges in cloud MDM as much of the Golden Record is still behind the firewall. Geographical requirements of using local data centers hinder global cloud adoption (a problem not specific to MDM). There is no hockey stick effect regarding the adoption as a majority of the MDM solutions today are heavyweight on-premise applications. Hybrid cloud model can accommodate global business complexities and leverage the cloud.

demonstrate outcomes in line with business strategies

MDM customer success stories point towards demonstrating outcomes in line with business strategies. IT leaders continue to educate business leaders in increasing trust in the data so that business can make informed decisions to drive company performance. IT leaders also balance delivery quick ROI while managing global complexities be it MDM for Product domain, Reference domain or multiple domains.

View MDM as a journey and not a project

Analyst and customer presentations discussed

  • Engaging management in thinking of data as an asset
  • Establish trust in Data
  • Viewing MDM as a journey and not a project

Riversand’s presentation on Rethinking MDM walked the audience through the evolution of MDM in the era of Data Discovery, Cloud and High Scale to deliver Trusts, Relevance, and Insights through next generation solutions.

MDM will counter the scarcity of trust, value and insights through the abundance of people, process and technology (open source technologies, ML and AI are ripe for MDM)

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