Optimizing the data management of an SME in the videography industry
Ahosilta, Joonas Valtteri (2021)
Lataukset:
2021
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2021053112690
https://urn.fi/URN:NBN:fi:amk-2021053112690
Tiivistelmä
The goal of this bachelor thesis was to optimize the data management processes of Velhot Photography Oy, which is a company that operates in the photo and videography industry. The company operates globally working with photographers from around the world. The objective of this thesis is to optizime the case company’s data management processes to deliver a more efficient workflow.
To help Velhot Photography Oy to reach its goals of optimizing the data management processes, this thesis will analyze the data management processes of the company in their current state and work towards visualizing them in the form of a Data Flow Diagram (DFD). This visualization will then be utilized to pinpoint different problems and bottlenecks within the processes.
After conducting the research, several problems in the data management processes were found and applied to their matching stages of data flow in the diagram. Some of the cloud storage services in use were disorganized and weren’t being maintained efficiently. The CEO’s e-mail server was constantly reaching its maximum capacity due to lack of archiving and there were also inconsistencies in the produced data found during the filming and editing processes, which were causing delays for the projects.
Suggestions to these problems were proposed in the form of audits to the cloud storage systems and removal of irrelevant or outdated data. Suggestions were made to improve the consistency of data being produced and manipulated during the filming and editing processes by compressing raw video material and providing guidelines for data management.
To help Velhot Photography Oy to reach its goals of optimizing the data management processes, this thesis will analyze the data management processes of the company in their current state and work towards visualizing them in the form of a Data Flow Diagram (DFD). This visualization will then be utilized to pinpoint different problems and bottlenecks within the processes.
After conducting the research, several problems in the data management processes were found and applied to their matching stages of data flow in the diagram. Some of the cloud storage services in use were disorganized and weren’t being maintained efficiently. The CEO’s e-mail server was constantly reaching its maximum capacity due to lack of archiving and there were also inconsistencies in the produced data found during the filming and editing processes, which were causing delays for the projects.
Suggestions to these problems were proposed in the form of audits to the cloud storage systems and removal of irrelevant or outdated data. Suggestions were made to improve the consistency of data being produced and manipulated during the filming and editing processes by compressing raw video material and providing guidelines for data management.