Business Intelligence and Analyticsapplied to a collaboration platform

University essay from Uppsala universitet/Institutionen för informationsteknologi

Author: Adriana Patricia Devera La Rosa; [2017]

Keywords: ;

Abstract: Idefusion AB is a start-up company which has developed a platform tosimplify the collaborative process between companies’ employees,university students and people in private life. Their main focus lieson skilled people such as company employees to produce cases based onproblems in their work life. These problems can be solved togetherwith students in an interactive environment where the employee canask, follow up questions and create a crowdfunding environment ofideas. The platform is created for multiple usage areas, such as tomake possible for students to interact with a company representative(e.g. a recruiter) and build a valuable network with it, this usageincludes interactions between professors and students for differentsubjects. At the same time, employees can use their platform as bothan intranet and a tool to develop ideas and recruit knowledgeablestudents. The platform manages profiles with different type or users, where eachuser can have multiple profiles, related them to different type oforganisations such as either companies or universities. These profileshave their own features with separated modules, but the profile typesare accessible from each other but separating their user informationand give them different tools depending on their organisation type.Idefusion AB receives a big amount of data that come from users whouses the features included at the platform. In order to gain an increasing insight about their users, Idefusion ABwants to adopt their own BI&A module according to their needs, thisresearch has included a variety usage of different BI&A tools such asTableau, Piwik, Open Web, SAS, Google AdSense + Google Analytics, andclient server insights; all for increasing the understanding on how tosee insight from the extraction of the user’s data hosted in a cloudservice called AWS, all these tools were compared according to their features. The insights were possible to extract by creating scripts added toIdefusion pages with the purpose of connecting the platform with thetools for to observe what do they bring, what do they offer and for tosee the usability of the platform in general. After getting results from the insights Idefusion AB confirmed theirneeds to create and developed their own BI&A module, this to get theirdata in a specific way, for making a decision of developing furthertheir actual features or creating new ones.

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