Data Management Is Becoming Less Complex

Big data and data analytics are more than just buzzwords. While data can unlock many possibilities for a company of any size, managing that data has historically been complex. Storing, organizing, cleaning, securing, and processing large amounts of data can be complicated, especially for those without extensive knowledge of data management.

Thankfully, recent innovations in the world of data have made it possible to manage data more easily and efficiently. As data management becomes less complex, companies across all sectors can benefit from its versatile applications.

Read more: Top Big Data Tools & Software for 2021

Software Innovations

Recent innovations in various types of software help make data management more efficient. Leveraging data software can also be useful for non-experts who work with data in their professional roles.

Software-as-a-service (SaaS) solutions play a significant role in data management. Many large companies such as Salesforce, Adobe Creative Cloud, and Amazon Web Services (AWS) are examples of SaaS enterprises.

SaaS solutions that outsource the most challenging parts of the process have become more common, and many now group multiple services under one umbrella, simplifying it further. Additionally, automated services using robotics process automation (RPA) and artificial intelligence (AI) can perform tasks that would take a human data scientist hours in mere minutes.

Both AI and machine learning (ML) are tools used widely for:

  • Managing infrastructure
  • Auto-scaling
  • Auto-healing
  • Auto-optimization

Tech giants are looking for more ways to leverage AI to simplify the process for employees who lack the background to analyze data in spreadsheets. While some have concerns regarding the use of AI, the technology shows promise and will likely become more widespread as years go by and more advancements are made.

Read more: AI Equity in Business Technology: An Interview With Marshall Choy of SambaNova Systems

New Data Center Technologies

Aside from improved software solutions, the data hardware itself has also seen major technological upgrades. Technologies such as the ones listed below have helped data specialists manage their data more effectively:

  • Storage-class memory: A type of storage that can improve server performance, storage strategies, and power management
  • Silicon photonics: Connecting microchips that could revolutionize server and data center design
  • ARM servers: Low-powered computing engines that are attracting adoption
  • Software-defined power: A broad umbrella term that describes technologies used intelligently to allocate and manage power in a data center

These advancements make running a data center easier and less expensive. While these technologies have not yet been widely adopted, they show promise for the future of data management and will likely serve as disruptions to the industry.

Many companies are now storing their data in a repository, either in a data lake, data warehouse, or lakehouse architecture. As data plays a more significant role, moving data and working with it from source to storage to the ultimate endpoint is necessary.

Read more: How to Create a Data Retention Policy

How Can Businesses Capitalize on This Trend?

As data management becomes less complex, it gives smaller companies a unique opportunity. Less technically specialized businesses, or those with smaller IT budgets, can now use data to extents previously exclusive to larger companies.

Businesses should look for areas to implement these innovations to simplify their data management. They can then either gather more data to use or use the data they have to a further extent.

This could mean drawing more valuable conclusions from data or using data analytics to help C-suite executives make data-driven decisions regarding the direction of their business. Using data can help enterprises expand and experience growth more quickly than competitors who lag behind in data management.

With simplified data management, businesses can use technologies like AI and predictive analytics more effectively, driving ongoing improvements.

That said, businesses must consider the security implications of adopting these new data management technologies. Cybersecurity issues are on the rise as more technologies are implemented into business operations. Data security also plays a significant role in efficient data management.

Businesses need to prioritize creating a viable cybersecurity plan to protect their data from would-be criminals with malicious intent. All it takes is one spam link being clicked on by a weary employee to lose valuable information.

Data Management Is More Accessible Than Ever

Because the vast majority of enterprises are redirecting their focus to data protection and management, it shouldn’t come as a surprise that they may face challenges along the way.

Thankfully, recent innovations in data software and hardware are making the data management process less complex and easier for those who aren’t well-versed in the field of big data.

It’ll be interesting to see how additional advancements will make data management more accessible for companies of all sizes in the future.

Read next: Top Cloud Computing Companies for 2021

Devin Partida
Devin Partida writes about business technology and innovation. Her work has been featured on Yahoo! Finance, Entrepreneur, Startups Magazine, and other industry publications. She is also the Editor-in-Chief of ReHack.

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