Traditionally, data management for an organization has been following a very distinct system. Data is produced from the transactions systems, then managed and stores within relational database management systems. After which the reports were made and delivered to key business decision makers. This kind of systems worked well for enterprises for several years but in this uncertain business environment where the demand for IT services and data insights have increased and this reliable system is being challenged constantly.
It has been reported by various database professionals that they spend most of their time managing lifecycles than anything else. Majority of this work is done manually from patch ups to frequent backups. This also includes the frequent expansion of the number of databases they manage. This leads to them facing significant challenges like licensing costs, additional hardware and network costs, increased administration costs and complexity. These constant changes lead to many IT organizations to not be optimally balanced and the demand for Database related IT solutions do not seem to be subsiding soon.
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Every organization is willing to come up with a strategy for tackling database management needs or they are trying to be competitive by trying to increase business value and coming up with innovative revenue opportunities. Whatever the situation might be, the following stated trends will serve as an eye-opener as to why you need to rethink your database management strategy.
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- Big Data has become an important part of normal day to day Business: Acquiring the data from transactional systems is now only part of traditional enterprise equation. They now share the stage with data that could not be previously captured cost-effectively and could not easily be managed, analyzed and stored. This includes data coming from sources that were not easily available traditionally and in these changing times are key indicators of the performance of an IT Organization.
- Automation of Database is required to manage the Squeeze: There is a remarkable demand for data management that is coming from the side of the spectrum but database management professionals are not able to manage the squeeze. The business demand for database services is growing at a constant rate every year which makes the requirement of elasticity in DB Management crucial right now and also in the future ahead.
- Cloud services open up the database as a service– Companies are switching to cloud-based solutions and data. This presents new opportunities to serve with new capabilities to organizations and as well as brings new ways to deal with new challenges.
- Mobile Becomes an Equal – Mobile computing is on the rise these days and every individual owns at least 5 devices that are connected to the internet. Since in the current scenario everything is so dependent on the mobile user expectations on the cohesive experiences from mobile devices have shifted from a plus to a must. These connected devices actually result in demand for massive amounts of data and processing.
- Storage enters Limelight: One of the unappreciated fields of endeavor in a business environment is Storage. Enterprises have finally realized that their infrastructure capabilities are being shaped up by storage. There is no question that enterprises these days are dealing with a rapidly expanding data store, which in turn leads to more data growth of the organization.
- Freeing up your IT Thinkers: If you are working with an outsourced database management team who are dedicatedly working towards developing Database management strategy according to your organization’s requirements. It provides your IT thinkers some free time to plan for upgrades, migrations, restructuring and other strategic projects.
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- Change Management: Migrating or moving the data to a new system suddenly can significantly introduce the risk of errors. Senior database management experts who have been trained in that particular technology can set strict methodologies which the enterprise has to follow. This step can prevent lost productivity and revenue loss in the future by ensuring data integrity.
- The resurgence of SQL and Relational Architecture: Since there has been a tremendous growth in markets like IOT and Mobile computing, enterprise data architecture requires structure and semi-structured data to scale together. This is where the challenge lies as we need to unite different data models so that the data can be analyzed together.
- Nasty hidden Bottlenecks: Whenever there is any Application Problems, it often leads to the database, which is one of the nastiest bottlenecks for an organization, because it is difficult to find the root cause among log files, codes, and architecture. If you have someone with expertise in database management they can help you save time and money when they are considering opportunity costs.
- Hidden costs of DIY Database Support: Sometimes, there are certain complex data requests that can strain your system and slow your infrastructure for other users. This results in the staff workers being overworked and at risk of making huge errors which can result in costly downtime and wastage of time doing troubleshooting. So why not strategically right source certain database functions with a goal of efficiency? This can help you in simplifying budget planning and save valuable time for management of other IT functions.
There are new opportunities to expand and enlighten data management practices and platforms to meet the needs of ever-expanding digital enterprises in today’s IT environment. Business efforts need to have a solid foundation of data management practices to be successful.