Carriers and contents: Retrieval, access and display of performance data in a sales environment
Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
The fast pace of business growth has brought small and medium enterprises (SMEs) new challenges as the size of business data grows dramatically as well. Instead of archiving all the records in database or printed logbooks as what was done in the old days, enterprises start to consider taking advantage of the potential values of data, for example, to support their business decision via readable results based on analysis of trillions of numbers. A vast demand of business intelligence (BI) tools then emerges, requiring services including agile data analysis and representation with user-specific accuracy as well as excellent usability. Being successfully applied in data analysis process in various fields, data visualization is one of the most popular solutions providing intuitive and effective aggregation to the reviewers. In an investigation conducted by IBM in 2011 among chief information officers (hereafter “CIOs” in short) of 200 enterprises, 83% of them have visionary plans that include business intelligence and analytics.
Together with Uppsala’s local business, S2 communications AB, this thesis investigated data representation of reporting service in a sales-intense telemarketing environment, in which three major research questions have been thoroughly studied:
- Data retrieval
- Data access (carriers of data)
- Data representation and visualization
This thesis used a combination of methods to investigate solutions to these three questions, including both comprehensive client-side interviews and technical prototype development based on company’s business data. A proper attribute set of data was proposed, as well as data access and visualization solutions. Most of resources, e.g., clients and business data, were provided by S2 Communications AB.
Place, publisher, year, edition, pages
IT, 13 004
Engineering and Technology
IdentifiersURN: urn:nbn:se:uu:diva-193554OAI: oai:DiVA.org:uu-193554DiVA: diva2:603080
Master Programme in Human-Computer Interaction
Oestreicher, LarsOestreicher, Lars