5 Trends Shaping Information Management in 2020

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5 Trends Shaping Information Management in 2020

In this article, take a look at five trends that are shaping information management this year.

· Big Data Zone ·
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Today, we see businesses being exposed to large amounts of data coming from various applications and integrated systems. The real concern arises when enterprises do not address and manage this data growth systematically. That’s where information management comes in!

Information management is where your enterprise’s workflows, technology, and teams are proficiently managed to understand how exactly the information is being used for business intelligence and management.

Information management is different than data management, as the latter is just a small fragment of IM. Information management is all about how you build, capture, search, and analyze crucial information to make informed business decisions.

To boost business growth with the inculcation of IM, here are Top 5 Trends shaping Information Management that you need to keep an eye on:

Top 5 Trends Shaping Information Management in 2020:

The Emergence of Cloud Tools

When an organization inculcates open-source and cloud tools, a large amount of data coming from various IoT devices becomes easily accessible. This is due to the fact that the workflows and capabilities become data-driven.

Different cloud tools such as logical data warehouses, distributed computing and public cloud are making it easier for enterprises to breakdown big data and analyze it at scale. Data warehouses are further being reinforced with unconstrained computing and better storage capacity.

Overall, this is what allows developers to become more productive and satisfy customer needs without worrying about moving or lifting big data.

Note: Distributed computing refers to the process of distributing public cloud services to various locations, whereas the primary public cloud provider handles main operations, upgrades and management. Such practice is the new face of cloud computing, unlike the very common centralized public cloud services model.

Security Gets Worse Before It Gets Better

Artificial intelligence and machine learning will act as leading technologies that go hand-in-hand with business workflows. This is to augment human decisions across different information management systems.

But before it gets better for your organization, there are high chances of it getting worse.


Because with AI and ML, your risk leaders and security teams need to have solutions in place to mitigate attacks that might take place on your IoT devices, micro-services, inter-connected systems or cloud computing.

If the risk and security teams protect AI-powered systems, they will be more capable of leveraging AI and implement hyper-automation to enhance business transformation.

When switching to a cloud environment, security has to be your topmost priority. 

Real-Time Data Analytics

Real-time data analytics will truly enhance your business decisions when accompanied by state-of-the-art technologies such as in-memory computing.

Organizations that employ in-memory computing will witness an upward graph in their AI and machine learning success.

Besides, real-time analytics to capture and breakdown streaming data is becoming popular. We all know how streaming data is generated from various highly connected applications and devices in smart spaces. 

To deal with this data, streaming analytics can play a massive role in identifying opportunities, deriving insights and taking potential actions at a faster route. This will not only help businesses to meet growing market demands but also to stay ahead of the competition.

No doubt, streaming analytics is a trend that has been around for a while, but now is the time to adopt it on the forefront.

While streaming data and analytics will require businesses to face technological shifts, it will also require changes in business workflows. This is because organizations cannot really act on insights derived from streaming analytics, if the business processes are not in the right places.

Cross-Functional Integration

For large-scale enterprises where returns on investment are not constricted, we can expect different tools such as social media automation, CRM, intranet, and ERP to integrate. Such integration of various systems will create a single interface for easy access to critical information.

  • Content  Federation is a great means to allow businesses to access all big data via a single location, no matter where it comes from or is stored.     
  • A large amount of information is created through a number of applications or resources. Content federation makes sure all such critical information and their corresponding insights are stored in multiple databases or servers, but accessed from one source. 
  • This approach makes sure critical information is kept accessible and actionable. For this, the metadata is read and upgraded within the primary repository.
  • These practices will help businesses deal with privacy and data access issues in an efficient manner. Organizations will precisely be able to differentiate personal data from duplicates and erase them upon request.

In a broader context, the content federation will offer enterprises with an overall in-depth view of its big data and related business workflows to know where information is created, stored, and used at any time. This makes the data recovery and management more streamlined.

Opportunity Spikes in Cloud Management Era

Hybrid cloud and multi-cloud technologies have opened the doors of new opportunities for business owners. Uses of unique cloud platforms allow organizations to take full advantage of cloud capabilities. But, you also need to keep cost optimization in mind whilst deploying cloud tools in your business processes. Similarly, adoption of cloud managed services is also rising at a rapid rate. Cloud managed services market encompasses data center services, business services, mobility services, security services, network services, and more. Implementing these services will not only improve businesses’ productivity but also help in decreasing operations and IT costs.

Wrapping Up

All of the top 5 information management trends mentioned above can be deployed in companies that have sophisticated systems in place. That’s because these systems will help them capture and store big data across their organization, and also derive insights to understand market signals.

In the upcoming year 2020, we might see analytic systems in action that are smartly utilizing Artificial Intelligence and ML (machine learning) to derive and access real-time customer data. 

Myriads of firms are increasing to invest in AI and big data capabilities. But at the same time, organizations also need to consider whether their systems and processes are capable enough to embrace these technologies to avoid the risk of privacy attacks or failures.

Hope this article gave you a foundation of the top 5 information management trends in 2020.

Thank you!

big data, cloud tools, cross-functional integration, information management, real-time data analytics, security, technology and tools

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