Top 7 Data Management Trends to Pursue in 2021 and Beyond

IT maintenance and support services
Technology in the hands

2021 has proven to be a crucial year for the tech industry, much of the shift has been promoted by the COVID-19 pandemic. While the case with data centric organizations is no different.

Hence, its time you learn about the top data management trends that could shape the trajectory of your business career in ways previously unknown.

Data management trends

We are going through gradual advancements in big data since the last decade, and companies are making really uses of extracting valuable information like customer insights, future trends, and likewise.

Yet not many companies work on the upcoming data management trends to help their IT objectives and business strategies in the making.

Augmented analytics

Augmented analytics employs machine learning and natural language processing to refine tasks typically handled by data scientists.

The idea is to help and enable artificial intelligence models and collect tons of customer data and feedback for marketing personnel to review and make informed decisions accordingly.

With time, the trend will also encapsulate continuous intelligence. Through real-time analytics, businesses can make decisions quicker, hence, giving them the competitive advantage in the right market segment.

Self-service data management and tools

Data democratization is something at the top of the list for marketing and sales professionals. Wit inclination more towards self-service tools enabling you to carry out routine tasks, self-service tools are required to control data assets without needing any technical assistance.

In short, your marketing and sales team need not to stay dependent on IT personnel to solve their data management problems.

Cloud native solutions

According to Gartner, 90% of solutions in the data analytics field will be a part of this trend by 2022. The cloud analytics trend is gathering momentum over on-premises analytics. The purpose is to enable in-house data teams to move over to other tasks rather than investing time and effort in maintaining the hardware.

IT people can easily shut down or alter machine based on workload, ultimately, saving unnecessary legwork, scaling smoothly, and trimming down the overheard costs. And with cloud computing growing at exponential rate, meeting your organization’s objectives isn’t a far cry anymore.

Cloud analytics services offer advanced data models that businesses would require to build from scratch otherwise. Today, you only have to pay what you use.

Hiring a Chief Data Officer

Have you reached the threshold where you need a faster manager and facilitator of data and operations?

If you were at this point a decade or more ago, you might not need so. But the growth in big data and AI, established companies now required a C-suite, chief data officer, to secure and utilize big data trends.

The officer will be responsible for data governance, and locate areas where data can work on improving the user experience and how data analytics can enhance productivity and revenue for the business.

The role is mostly strategic, a typical CDO will look over software engineers and developers, and data analytics and report directly to the CEO.

The extension in data fabrics

Data fabric is a huge term dealing in collection, governance, integration, and sharing of data through a single architecture and works for a seamless transfer in a diverse network environment.

As the digital and tech industry in increasingly relying on tons of data and data consumptions depend on on-demand channels, companies need to create data fabric to knit all the data together and operations in a unique framework.

The entire objective of using data fabrics is to remove silos, simplify data management, and facilitate hybrid cloud and on-premises environments.

Using blockchain and distributed ledger technology

Seemingly, traditional databases are starting to see them getting replaced with distributed ledger systems—an advanced database that is agreeably shared and aligned through different sites and regions.

The DLT promises a more secure route of transactions, smart contracts, audit trails, and asset tracking.

On the downside, the talent required to considerably leverage the power of DLT is very short. Moreover, the understanding of the blockchain technology on a holistic level is still far from over. Hence, the scope in both the technologies and the quest to store data in decentralized form is huge.

Data visualization to data stories

Apparently, interactive dashboards are more in demand that old school, static dashboards. Data stories are known contextualize everything, and organizations need to present data in a way that displays its significant.

Data visualization is an important chunk within the data management science, and the trend to create aesthetically pleasing, interactive presentations in only going to grow further.


It doesn’t matter if you’re providing IT maintenance and support services or even running a simple digital marketing blog, data management is gold mine for every marketing and strategic personnel out there.

And companies need to stay abreast these trends in order to fully capitalize opportunities and deliver a better customer service than ever.