The different corporations these days tend to use workforce intelligence for objectively and accurately building stronger internal structure through big data. The collection of data regarding the behavior of employees help the companies and businesses to create efficient and accurate business plans. The workforce intelligence makes use of the combination of SaaS tools, artificial intelligence, visual reporting and analytics for helping the employers manage and regulate employees more efficiently.
Understanding workforce intelligence
Workforce intelligence is basically the practical application of the digital data that can be one of three different types: Structured data, Semi-structured data and Unstructured data.
The monitoring systems can gather and analyze the structured data with the help of digital analysis and machine-based data management. The machines read structured data like code, which is optimized for the search engines. This information is interpreted as digital record by the system. The machine learning of the data helps in better understanding of online habits of the workers, browser history, input from external devices, network risk and slumps or peaks in activity.
When you combine computing efficiency of the variable human input and quantitative information, you get the semi-structured data. The employee survey, for instance, is an effective method of gathering semi-structured data. By offering the employees with the set choices for each of the response, the machine can compare the different answers and then draw the valuable conclusions. However, human involvement is essential for creating data that can be implemented towards the business objectives and goals.
While the structured data works on quantitative figures, it can also be imputed within code reader or a spreadsheet. The unstructured data on the other hand is more variable. The management of this type of data makes use of qualitative factors for measuring the performance and user activity. This information can be made available or generated by human innovation or machines and the common instances of the unstructured data includes Email, multimedia files, social media, embedded images and videos, and VoIP. The unstructured data isn’t comparatively easier for machines to process and compile into presentable graphs because of high variability.
Software monitoring
The employee monitoring software is an important aspect of workforce intelligence and building high productivity levels for your small businesses. In the context of employee monitoring software – how does it work? Broadly speaking the monitoring software is installed on the employee machines and it collects relevant data, presenting it in concise form and generating meaningful reports through advanced analysis.
