Business world is getting more and more fixated with the idea of well-documented information cache; where any sort of data inconsistency is like a black-spot! In fact, these days, when databases are getting more massive in volume; one cannot simply put data management on side-tracks!
Turing a blind eye to this process will leave your company paralyzed with too much haphazard data; eventually eating up all your time, energy and resources. Data entry and data processing services can assist your business productively – in clearing the mess and tying all the loose ends.
Going by the tide; many organizations are now doing their ‘Data management’; however, usually it gets limited to simply taking back up files or storing data in the cloud – This is just a fragment; not the END of the process called data management. It is mainly seen that most organizations are not WELL-AWARE of actual data management and this basically becomes the biggest obstacle.
What Exactly is DATA MANAGEMENT?
Data management is a process that involves development and execution of structures, policies, practices and procedures for effective management of information lifecycle needs of an enterprise.
If I have to put in simple words; then I would take the liberty to compare it with playing a jigsaw puzzle – In jigsaw various pieces need to be put in its proper place to view entire picture, similarly data management requires different pieces or processes to be undertaken in tandem in order to get best results.
Data management is extremely challenging especially when there are variety of information sources. And effective management more or less depends on these ‘different variety of data’; with such variations, data management becomes more complex and thus, people end up with something that is not even close to actual data administration.
Sounds difficult; but is not impossible to have a well-managed database; all you require to do is:
Identify the Business Value of Your Data
Knowing what value data holds for your business will help you determine storage strategy and other policies or protocols that needs to be followed.
Ask questions like what if data disappears? – Or what is ideal duration of storing any data – or what are the most effective security measures? – These questions will lead to answers; thus helping you to decide the course of your actions. Don’t limit yourself to these questions, though; try and identify other problem areas as well.
Be Aware of Concerned Industry’s Compliance Needs
One size fits all does not work for data management; you have to customized the solutions depending on a number of factors – it is utmost important to have complete knowledge about compliance needs that concerns your industry.
Okay, let me cite an example – Healthcare industry has to go by HIE or EHE standards; and database will also have to adhere by these policies. If you have no idea what HIE or EHE standards are; then god bless you!
Things will go completely haywire; since the data will not be structured accordingly; this will put storage, retrieval and security at stake.
Redundant Data Will Create A Mess
Not all data is important – Remember this golden rule to keep your information organized.
Yes, you don’t need to keep every bit of information – Sometimes, certain details get outdated, or old enough that it’s no longer valid – Just get rid of such redundant data.
It is better that you analyze the data; recognize which ones are still of use, which ones are old or complete out of place. Trash such information to keep the database updated and mostly importantly, less complicated.
Data management is not ‘mission impossible’ – All you need to do is to get the concept clear in your head and follow some tricks to effectively manage the information cache.
Ritesh Sanghani is a Director at Hi-Tech BPO for the past 15 years. He has worked with several international clients and has executed BPO projects of varying scales and complexities.
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