Abstract
In the recent world, making the proper decisions in business is challenging and complicated, especially on sales data. Sales are the most valuable part of a business. Only the sales report of a business is not enough for today’s business development. The activity needs to get an insight into sales using data because data-driven decision is more impactful. The purpose of the research is to develop an affordable and approachable model to deliver a business insight that helps you to understand your business and support to make business decisions faster. In this piece of research work, a model is proposed to develop an affordable simple sales data insight, helping with business intelligence technique and cloud database. This model uses a set of data, with ad hoc query, statistical analysis, some mathematical equations, and data visualization is a key component to gain a proactive and data-driven solution. Using such methodologies and approaches, our model generated certain key performance indicators and a quick snapshot of the sales situation, allowing company owners to see trends and predict sales process weaknesses. Not only that proposed model also provides geolocations sales state and cross ponding sales preview on a visualization mode.
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Shubho, O.Q., Tumpa, Z.N., Dipto, W.I.R., Alam, M.R. (2022). Real-Time Data Visualization Using Business Intelligence Techniques in Small and Medium Enterprises for Making a Faster Decision on Sales Data. In: Jeyanthi, P.M., Choudhury, T., Hack-Polay, D., Singh, T.P., Abujar, S. (eds) Decision Intelligence Analytics and the Implementation of Strategic Business Management. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-82763-2_17
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