SnapLogic have announced the results of its latest study into disconnected data, which uncovered that 90% of employees are being burdened with boring and repetitive tasks which could be easily automated.
In fact, these tasks--which include searching for data, data entry, data processing and analysis, and combining data from multiple sources--are costing businesses 19 working days per year per employee, on average. This is putting a big dent in the productivity of the business, as a shocking nine in ten business users are spending time on these boring automatable tasks rather than value-added activities.
This productivity hit is frustrating workers. A quarter (25%) believe that disconnected data is causing the development of new products or services to lag, leaving them trailing behind competitors. Over six in ten (61%) are finding projects being constantly delayed by slow data integration efforts.
With 44% of respondents stating that there is a lack of collaboration between departments, and 57% admitting that their organization struggles with data silos, it is likely that employees from different parts of the business could be working with similar data but in different systems -leaving the data itself open to interpretation by the individuals dealing with it or in some cases even missing altogether.
In fact, the study, conducted by Vanson Bourne, found that nearly two thirds (64%) of respondents in companies with over 500 employees agreed that data gaps in their organization are negatively affecting their productivity.
Gaurav Dhillon of SnapLogic said: "Digital transformation projects are designed...