Five Key Data Governance Trends for 2016

March 29, 2016 Enget Dang

Five_Keys_Data_Governance

Data management challenges are getting tougher each year, making last year’s trends a far far distant thought. Trends that are relevant this year, may not be relevant the year after because the market is so diverse.

Based on an analysis by Forrester Research and article by Forbes, we witness an evolution of data technology trends that fit seamlessly with the growing concern around data quality. Listed as one of the top ten hot big data technologies of 2016, data quality and data governance products will continue to see a surge, such a surge that requires its own category of 2016 trends.

While the data management market has also seen no shortage of proven technology offerings, we’ve often seen a challenge when integrating multiple data management tools under one umbrella, especially for large enterprises. Which is a shame, because if done well, this approach can be one of the most effective ways to manage corporate data systems and most importantly make it relevant for business users and business applications. That being said, it is only appropriate to start our list of key data governance trends of 2016 with application data management.

It’s Alive! Application Data Management

One phrase you’ll start to hear being mentioned is application data management (ADM). It is an innovative way of both establishing data governance policy and enforcing the policy across multiple applications and data consumers. In ways that traditional master data management (MDM) cannot perform, ADM can serve as the hub of a company’s complete data operations enabling enterprises to set and enforce meaningful data quality and information governance policies broadly across systems, regardless of who, what, why, when, where, which or how other systems are being utilized.

Connecting Big Data to Transactional Data

This era of Big Data has always sounded attractive to a lot of companies, like a shiny new car which drives great off the lot, until you need to start providing some serious maintenance to it to keep it running smoothly. The greater importance is to consider the impact Big Data will have on the business in the longer term and how it becomes accessible.

It’s truly not just about having the data, but also ensuring the data is usable, accurate and addressable for business success by guaranteeing data processes sustainably meet business needs and support business users on an ongoing basis.

Data Governance 2 Dot 0

Data Governance 2.0 goes beyond traditional MDM by connecting a web of enterprise-preferred apps that span all types of master, transactional and configuration data, allowing companies to drive an overarching data governance process no matter which data systems are being utilized. Ultimately the business process for data takes precedence and allows all data sources to be incorporated into the full data governance strategy. 

Software Automation’s Less is More

Having an ERP implementation that lasts 10 years for millions of dollars, sounds like a drag doesn’t it? Well make way “expensive and extraneous ERP implementations”, now more and more companies will be embracing off-the-shelf functionality of innovative apps that can be used in tandem. These apps will also bring a whole new world of software automation that will help configure requirements with less external service support for lower level needs, while utilizing more qualified service resources for strategic benefits.

Data Migration Wave

As legacy on-premise apps are aging, customers are looking at data migration options to move them in the direction where the market is headed so they can maintain a competitive position. This renewed interest in data migration now entails gathering a network of apps, both on-premise and in the cloud, so they can be integrated strategically from a data management perspective. The future of data migration is all about choosing the right data to move and then moving it. That is why it is no longer a “lift and shift” migration, today it is more critical than ever to deliver the right data, to the right person/application, at the right time, in the right format and with the right security.

Data migration is only one phase in a company’s ongoing data journey. Companies that take a post-modern ERP approach will be able to simplify their integrations as well as maximize their ongoing data investments.

Understanding the benefits of application data management, connecting big data to transactional data, preparing and executing data governance 2.0, leveraging software automation and riding the new data migration wave are just a tip of what is ahead for enterprise data in 2016, but a wave definitely worth riding.

For more details on what’s trending, be sure to check out, Rex Ahlstrom’s article, What’s Ahead for Enterprise Data in 2016, published in Enterprise Apps Today.

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