Understanding the Concept of Big Data Management

Man pointing to the big data management informationBig data management involves the proper and strategic organization of data derived from internal processes, as well as external processes and relationships with vendors and customers. These sets of data are often analyzed to support a company’s business intelligence efforts, although government agencies also require big data management to ensure the safety and welfare of citizens.

The concept of big data has evolved substantially in recent years as various industries deal with an overwhelming rise in technologies, data volume, and scalability. As a result, companies are facing a challenge in finding ways to interpret data accurately that can support their business growth in the mid- and long-term.

Making Business Decisions

According to a study by data verification vendor Experian Data Quality, the impact of unsound data management strategies are astounding. It discovered that only 44 percent of companies trust their own data in “making big business decisions,” leading to a 51-percent decline in overall customer satisfaction. On the other hand, 60 to 80 percent of companies with a successful data management initiative report increased revenues.

The task of managing big data depends on data scientists, database administrators, chief data or information officers, and business analysts. Organizations can also get tech companies such as Cloud Xtension to provide them with outsourced IT development for big data, should they lack resources to implement big data management themselves or hire an in-house specialist to do it for them. Hiring a third-party big data management provider is also critical for organizations that want an unbiased look at their data.

Reducing Data Footprint

Simplifying data sets and incorporating virtualization technology saves companies costs. The latter involves reducing data footprint and focuses on being able to store and pull up data easily by minimizing its footprint. The costs saved through this could otherwise be used for daily operations and to increase your IT staff’s productivity.

Big data management will continue to present new and welcome challenges to organizations in upcoming years. However, it will not be as daunting as it appears to be with the right strategies in place.

Where They Go Wrong: 3 Data Management Mistakes to Avoid

Data Management

Data ManagementData management issues never go away. Whatever the industry you are in, these problems will always find their way back to give you a headache again. While this is something people simply have to accept, there are ways to make sure these issues don’t pester you way too often. Some issues, after all, can be avoided, especially if you’re handling data management properly.

For the most part, problems with data management stem from some crucial mistakes. What are these mistakes? Take a look at these:

Absence of Disaster Measures

It’s logical to have a recovery method for your springboard system just in case the network goes down. It is, however, not enough to rely solely on this. After all, it is possible that a natural disaster would bring down your network – along with all the valuable information your business needs. Although the likelihood is slim and seemingly far-fetched, it is never bad to have measures for this.

Insufficiency of Storage Media

Where do you store your data? Sure, it is one thing to have databases that hold important information, but you have to go beyond that. Redundancy is the name of the game if you want to ensure uninterrupted uptime, even in the case of an outage. Backups on hard drives onsite and the cloud are highly useful. Magnetic tapes are also a good choice here.

Incompleteness of Management Plan

Sometimes, it all boils down to the plan you have in managing your data. Are you certain that you have covered all the possible bases? Maybe you should take a look at the measures you currently have as opposed to the current industry practices. Your management plan should be comprehensive and able to address all sorts of new issues.

With proper data management, you can be sure you have all the information you need to grow the enterprise – surely and securely.