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Infogix 2019 Predictions: Data Management

Industry executives and experts share their predictions for 2019.  Read them in this 11th annual series exclusive.

Contributed by Emily Washington, senior vice president of product management at Infogix

Data Management

Every year we sit down and discuss the most transformational data trends we to expect to see continue, and new ones we expect to emerge in the coming year. With technology advancing at record speeds, it's important we reflect on the past, the present, and look ahead to what the future may hold. The trends that are developing and maturing today could have major ramifications on how enterprises turn their data into actionable insights, may have a transformative impact on organizational processes, and will likely serve to drive competitive advantage.

Some trends that began in 2018 are sticking around, while others are just beginning. Here are the top data management trends for 2019.

Organizational Roles Shift Due to Modern Technologies

As technological capabilities improve, the power of data to improve business and drive insights lies not in the hands of the IT department, but in the hands of business users. More business teams want a unified understanding of their most critical operational and business challenges. The proliferation of integrated platforms and advancement of data management tools empower data consumers to understand, manage and use data quickly and simply through self-service solutions. IT is now freed up to focus on higher-value data management projects.

The Migration of Dark Data into the Data Supply Chain

Organizations still have large amounts of untapped dark data to transform into digital assets. One reason dark data remains unused is because it is often unstructured, making it difficult to categorize, hard for data management tools to read, and impossible to analyze without conversion into structured formats. Organizations will start digitizing and migrating analog databases to take advantage of cloud-based predictive analytics, so businesses can strengthen decisions.

The Data Avalanche Worsens

Organizations are still plagued with challenges managing the data deluge. Data is increasingly created and deployed among many different processes and systems. Organizations in 2019 need centralized data management technologies to manage distributed data environments and deliver business users visibility into their data. In today's world, business users demand a new data experience, just as they would shop online for retail products. They want to easily and quickly search, locate, understand and leverage data they can trust.

Data Lakes Evolve and Move to the Cloud

Businesses now require support for more than HDFS, and require the ability to process additional data sources like S3. In 2019, organizations will shift from viewing data as a static resource to data in motion. On-premise Hadoop data lakes transition to cloud-hosted data lakes, reducing cost and the ability to scale elastically.

Data Governance is Critical for Data

Many businesses quickly advanced their data governance programs in their efforts to implement GDPR in 2018. But this didn't automatically translate to a better understanding of new analytical insights and enterprise data. It did, however, successfully create open communication between different lines of business. As a result, companies are broadening their data governance program and shifting focus beyond just governing data. With the introduction of analytical models, businesses can now accumulate metadata around their data governance models to make sure everyone on board has a complete understanding of their data and can take advantage of it for data-driven, trustworthy insights.

The Continued Rise of the Chief Data Officer

Managing data is a team effort. C-suite executives and senior leaders are working together and creating strategies to build a data-driven culture. Whether CDO, CIO or CTO, leaders need to understand full participation is critical to advancing new technologies, building customer loyalty, driving revenue growth and securing a competitive edge. Without collaboration between leadership and the rank and file, data strategies are destined to fail in the new year.

Why you Should Care about Data Privacy Regulations such as GDPR

The GDPR frenzy is over. Many businesses have achieved baseline compliance, but many question whether the solution they rushed to implement meets every GDPR requirement, or will be effective in the long term. Others still struggle to meet basic regulatory demands. Still, there are similar regulations coming in Canada and the U.S. Canada is currently adjusting its data protection law keeping GDPR's standards in mind. California passed the Consumer Privacy Act of 2018 (AB375). Starting in 2020, organizations must disclose personal information upon request. Organizations who still aren't compliant with GDPR will need to act fast to avoid fines down the road.

2019 will be a breakthrough year for data management as technologies evolve to deliver a full 360-degree view of an organization's data landscape to draw significant, timely business insights. As advanced technologies simplify the data management process, businesses will evolve their data governance models to foster a competitive advantage in 2019.


About the Author


Emily Washington is senior vice president of product management at Infogix, where she is responsible for driving product strategy, product roadmaps, product marketing and vertical solution initiatives. Since joining Infogix in 2002, Emily has worked closely with product development teams and customers to drive introduction and adoption of all new products.

Published Monday, February 04, 2019 6:56 AM by David Marshall
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