It doesn’t matter what business you are in; every business has important data to secure and make readily accessible. The fact may be that you have a lot of important data in many different places- internal and external. Implementing a comprehensive data management strategy will help to get all that data available and accessible and scalable for your enterprise. Data management best practices should be included in your data management strategy, and this insight could give you the edge up on your competitors and send your profits in the positive direction.
But what, and where, is all the data that’s relevant to your business? Can you access it when you want it? Do you know that it’s accurate, current, clean and complete? Can you easily pull all the data together, no matter what format it’s in or how often it changes? The big question for present day businesses: Is your data ready to support business analytics? An often-ignored truth is that before you can do really exciting things with analytics, you need to be able to “do” data first.
Improve performance to improve your ability to scale your applications
The performance of critical applications continues to be a top challenge for organizations. Improper configuration, poorly planned database layouts and lack of understanding on how to fine-tune performance are all common issues.
A proper indexing strategy is the first step toward reducing performance issues and ensures that an organization is in a better position to handle huge data. Companies should periodically review indexes.
Manage security to ensure business success
Rigorous security measures are the only way to truly protect data. Often companies rely on the security protocols included by their cloud-storage provider, with a cloud-based platform, for your servers, you need to be well protected by a complete security package.
Your database management plan should include regularly checking that apps accessing the database are updated to tighten security. Custom apps specifically can be a huge source of risk, so their review and maintenance should be included in any plan.
Solve data integration issues by having quality data
Data integration issues continue to rise due to the introduction of new data sources such as social media, Internet of Things devices and the cloud. Applications have structured and unstructured data that is stored in multiple locations, adding additional challenges to managing an efficient database.
Data quality is often another hurdle in data integration strategies, and it requires legacy data to be cleaned prior to conversion and integration. To this end, it may be necessary to implement a data auditing process with clearly assigned responsibilities.
Additional Training of internal staff or outsourcing your database management tasks will yield great results
With the growing use of data from effective databases, the need for technically experienced staff is also growing. Therefore, finding qualified people from outside can difficult and expensive.
There are several ways to solve this potential problem; invest in your internal staff and training them on how to manage new types of technology. While you may not be able to find the right people to hire immediately, you can certainly train current staff to a higher standard. Look outside your IT team, you should be able find valuable partners who can be trained to manage your database on as-needed basis.
Review your database architecture to see if it’s scalable
You should include a review of your database architecture to understand if it’s ready for the latest applications? Applications today need greater scale and often the relational databases you have are quickly becoming legacy because they just aren’t designed for what today’s apps need. There will continue to be a need to scale relational databases, but they will never scale to the magnitude some of the new database technologies will.
Why Is Data Management Important?
You have a very valuable resource; your data, and that makes data management top-line important. You need to be ready for the latest business intelligence and analytics tools, having an unreliable data may lead to lost or misplaced information. In that case, you would then have to spend time and resources again to get that same business intelligence you already had.
According the U.S. National Archives & Records Administration in Washington, 93% of companies that lost their data center for 10 days or more due to a disaster filed for bankruptcy within one year of the disaster. More than 50% of businesses that found themselves without data management for this same time period filed for bankruptcy immediately. As you can see having a strong data management plan is very important for the success of your company.
You don’t have to do this on your own, there are many reputable partners who can handle this task. Telliant Systems has teams ready to help you improve your database performance and ensure your applications can scale.