Data is defined as set of values of quantitative and qualitative variables. Data may combined together in a logical format, gives birth to information. These information are the basic source of development for an organisation and thus it is necessary it to assure the safety of data. Data once collected for the purpose of information is measured, analysed and reported after which it can be visualised with the help of graph and images. In terms of general concept data refers to the fact that some existing knowledge or information is coded or represented in suitable format for the purpose of being used.
Data, knowledge, information and wisdom are closely related concepts but each of them differs in terms of their meaning. The data once collected is to be analysed in order to become useful information. Data is the cardinal resource for an organisation and once it is affected or lost, the business may be at stake. The security and privacy of data forms the roots that can define the continuity of the business.
Data as defined to the most vital resource for an organisation, has its importance attached to it in terms of its management, which includes:
Data management helps in synergizing the data at a single location and building useful information to help the organisation function smoothly.
With the increasing dynamics in the business world it is necessary to gain quick information; data management helps to superintend real time solution for the business.
Availability of required data at proper timing also helps in real time decision making process and thus assures better profitability of the organisation.
These days due to introduction of new software governing the systems in the organisation, data is more prone to damages and thus it is needed to keep it intact and in safe hands. We at LAISAI assure the safety of your data and take the full charge of the management of information and data in your organisation.
All that we at LAISAI technologies do for you:
Help in meeting funding agency requirements.
Expedite the scientific process, by saving time and resources.
Ensure that the researched records and data are accurate, authentic, complete and reliable.
Fortify research replication and integrity.
Enhance research efficiency.
Assures data security and minimise the risk related to data loss.
Complying with the practices linked to commerce and industry.
Fulfil the requirements in regards to improved compliance.