Top Six Data Management Trends for 2019

Data management had a stellar 2018-with hybrid and multi-cloud taking front and center stage and continuing to dominate the data concerns of most enterprises.

With another year starting, now is probably a good time to take a look at what’s to come in the world of data management for 2019 and beyond.

Here are the top six data management trends for 2019:

1. Analytics, analytics, analytics

Personalized experiences, real-time insights, 360-degree customer views: the power of analytics can never be understated.

Delivering personalized experiences is only possible with a data management layer that has strong analytics capabilities.

Forward-thinking organizations that aren’t already being driven by data analytics will move to platforms that give them the speed, flexibility, and reliability needed to identify unique patterns and serve up personalized recommendations with ease.

Analytics is also very important for , as being able to apply advanced techniques like machine learning to your data makes for a more powerful fraud detection capabilities.

2. Geospatial search

A recent revealed that 80% of organizations use some sort of geospatial data-e.g., zip codes, addresses or weather reports-to power their businesses.

As technology evolves and networks accelerate, more and more innovation is occurring in fields and industries that rely on geospatial data.

A logistics company might use geospatial data to optimize their supply chains. A field services organization might rely on IoT devices that use geospatial data to relay updates pertaining to the status of specific equipment and machinery. There are also apps like Pokémon Go which rely on geospatial data to facilitate gameplay. The list goes on and on.

From providing critical data to helping support personalized experiences, geospatial data will only become more important as we move further into the future. Companies will therefore look for data management solutions that make it easier to build apps that rely on geospatial data

3. Data governance

Ensuring the integrity, availability, and security of data gets more important every day as the amount and variety of data increases, as new regulations and initiatives like the and come into effect.

What’s more, when data is not available to employees in the right way, productivity grinds to a halt. And when it isn’t available to customers in the right way (and at the right time and place), they become frustrated.

To this end, data governance will become increasingly prominent in 2019 and beyond. Smart organizations will increasingly look for data management solutions that enable them to protect their data and ensure it’s always available-accessible to only authorized individuals.

Not only does data governance help them mitigate potential risks, it also makes it easier to make the best business decisions.

4. Data autonomy

What would happen if a multibillion-dollar juggernaut suddenly decided to gobble up your biggest competitor?

In 2017, told its tech vendors that they could no longer use Amazon Web Services if they wanted to continue working together.

The company’s reasoning at the time was pretty straightforward: Why would Walmart let some of its most sensitive data sit on its biggest competitors’ platform?

As mergers become more and more common-during the first half of 2018, a record were finalized-it becomes increasingly important for organizations to maintain complete control of their data.

5. Kafka and Docker

In 2011, LinkedIn open sourced Kafka, a distributed streaming software platform.

By using containers to install Kafka clusters, organizations get the peace of mind that comes with knowing they control the apps they build and aren’t locked into any specific infrastructure or technology.

Getting the most out of Kafka and Docker requires a data management platform that enables apps to react to data as it comes in and respond to events as they occur. Organizations, then, will look for platforms that automatically save Kafka topics and .

6. Hybrid cloud

If given the choice, would you store your company’s most sensitive data on infrastructure you owned and managed internally or infrastructure managed by a third-party vendor? And would you prefer to store less sensitive data on public cloud resources or more expensive private cloud infrastructure?

To maximize the benefits of the cloud without compromising security, smart organizations are increasingly moving to hybrid cloud environments; mission-critical applications and data are stored on-premises in private cloud infrastructure while less sensitive apps and data live in the public cloud. According to RightScale’s 2018 State of the Cloud Survey, 81% of organizations already have a .

Between Kafka and Docker, data autonomy, hybrid cloud, geospatial search, and analytics, 2019 is shaping up to be an exciting year for data management, as every year is, because every year brings new trends to the table that shape the way enterprises are using their most valuable resource: their data.

But there’s one final trend we forgot to mention, and it’s one that incorporates all of the above: active everywhere.

eBook: Powering Growth and Innovation in a Hybrid Cloud World



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