Data Visualization and Analytics : using a business intelligence tool to design a dashboard
Singh, Simranjit (2020)
Singh, Simranjit
2020
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-202004165200
https://urn.fi/URN:NBN:fi:amk-202004165200
Tiivistelmä
The purpose of this thesis was to find a solution to unify data across platforms and automate the data collection and presentation needs of an organization that sets up a business and technology festival on an annual basis. To achieve this, a data analytics dashboard was developed to collate and present the data in an easy-to-read visual form.
The dashboard was intended to make it easier for the organization to be able to track and follow the changes in the business and use the insights to plan and target their sales and marketing campaigns better. For this purpose, user data was collected from the organization’s website and social media channels and then imported, cleaned, and plotted into the dashboard using relevant visualizations. Thereafter, the analysis was carried out to gather insights with the help of these visualizations.
The main result was that there were certain trends and patterns observed concerning user behavior, such as the time of interaction and level of engagement that different social media posts received or the keywords that directed users to the website. These insights were significant because the organization could focus on what users found interesting and publish similar content when the users would be active online. This would provide the business with a greater reach and help create a higher impact.
The dashboard was intended to make it easier for the organization to be able to track and follow the changes in the business and use the insights to plan and target their sales and marketing campaigns better. For this purpose, user data was collected from the organization’s website and social media channels and then imported, cleaned, and plotted into the dashboard using relevant visualizations. Thereafter, the analysis was carried out to gather insights with the help of these visualizations.
The main result was that there were certain trends and patterns observed concerning user behavior, such as the time of interaction and level of engagement that different social media posts received or the keywords that directed users to the website. These insights were significant because the organization could focus on what users found interesting and publish similar content when the users would be active online. This would provide the business with a greater reach and help create a higher impact.