UAE organisations are holding ‘databergs' of unused and useless data, according to a study by Veritas.
The company says that as much as 81% of data stored by organisations in the country is either ‘dark' data, which has not been analysed to understand its value, or ‘redundant, obsolete or trivial' data (ROT).
Dark data accounts for 48% of all data while ROT is 33%.
Veritas says that companies persist in storying large quantities of such data in monolithic and unstructured reserves, which is dubs ‘databergs'.
Organisation's habits are improving, Veritas noted, with the volume of clean data doubling from 2016 to make up 19% of data today, while ROT has decreased by 10% of the total in the same time period.
Organisations are also increasingly placing data in the cloud, with 38% of organisational data is in the cloud, which is predicted to rise to 55% in the next 12 months. This is a significant increase over 2016, when only one in five organisations had cloud storage and processing
The Veritas UAE Databerg Report was compiled based on responses from one hundred respondents in the UAE, covering all key sectors - including government and business - were surveyed for the report on enterprise data management.
Damian Wilk, Senior Regional Director - Middle East, Veritas, said: "The UAE has been taking the lead in adopting advanced data management - which is reflected in the noticeable decrease we've seen in ROT data over the past two years. However, the large volume of dark data that persists in the UAE points to the fact that managing dark data is becoming a business-critical issue for organisations. By identifying the value of such data, organisations can move towards faster decision-making, greater operational efficiency and increased productivity. By illuminating the dark data and erasing ROT, organisations can assume stronger control of their data management. Veritas can help in identifying dark data, exposing the risks and extracting true value for organisations."
In other key findings, the report points out that the public sector entities carry the most burden with 42% redundant data, followed by industry (36%), finance (33%) and utilities (30%).
While finance sector entities store 58% of their data as classified or tagged, public sector entities come second at 53%. On average, more than half the data (52%) that organisations store is classified or tagged. On average, just over one in three (36%) of all organisations removes redundant data regularly on a monthly basis. Nevertheless, efforts to clear obsolete data is gaining speed; 59% of public sector firms clear unnecessary data every month, while 50% of utility firms do so every quarter and the other 50% annually.