Time-tracking software

Abstract: On a study performed by Sierra-Cedar HR Systems in 2014, only 12% of organisations adopted some form of HR analytics. On the same study it was concluded that Quanti ed Workplaces out-perform other organisations they see higher levels of nancial performance, as well as positive HR and Return on Equity (ROE) outcomes [1]. Currently, most of the data-driven companies are only focused on the data provided by consumers data-driven decisions are made practically only in product development, marketing, and pricing or data provided by time tracking software installed on employees computers [1]. With the current state of the art, there's potential to build tools that quantify collective behaviour at an organisation on a real-time basis, thus providing insights that can help improving processes and practices that enable to achieve organisational goals. Tools that can be part of a framework for designing a strategy and preparing the business to execute it with iterative and adaptive Agile methodologies, rather than a biennial or triennial major initiative. This master thesis work consists in building a platform to achieve such goals. Its challenges are: continuous collection, processing, and storage of SME's productivity, happiness, and o ce environment metrics; using a Microservices Architecture, that is modular for easy attachment and decoupling of services and devices; integration with Internet of Things devices, with the goal of measuring physical environmental quantities; building a data visualization platform to display the collected data for analysis. At the end, the built platform was able quantify and display various variables related with productivity, happiness, and o ce environment, providing valuable information to the company at which the platform was applied Whitesmith. The platform and its parts were praised by various people from the Quanti ed Self and Data Science communities, such as Ernesto Ramirez from Quantifedself.com, and Dan Kador from Keen IO.

Abstract: Task scheduling automation was examined to provide evidence on its effect on organsational efficiency by reference to two fully automated firms in Ogun State of Nigeria. Organisational efficiency was measured in terms of individual’s commitment to work, productivity, quality output and workflow efficiency. A structured questionnaire was administered to 56 employees from both firms. The inferential statistical tool, specifically the regression analysis measured the effect of automated task scheduling on workflow efficiency and whether individual commitment and productivity increased with the use of time tracking software. The result revealed that task scheduling had a significant effect on workflow efficiency. Task scheduling explained about 33.9% (R 2 = 0.339) variation of workflow efficiency; and time tracking software’s ability to impel increase in employees’ commitment to work was not significant (p< 0.01). It was recommended that task scheduling should be considered by firms as it gives employees a clearer insight into organisation’s objectives and assist firms in meeting with daily tasks, urgent orders and deadlines. Additionally, time tracking software would permit task and time monitoring in such a way that employees time are judiciously utilised for organisational efficiency.