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Occupational roles Occupational role 1: Business Intelligence analyst Occupational role 2: Data analyst Occupational role 3: IT consultant, Business Intelligence Occupational role 4: Junior data scientist The graduate has knowledge of… - How ETL (Extract, Transform, Load) is used in organizations to make decisions concerning the organization - How Business Intelligence can develop an organization through various business and operational processes - How different forms of statistics and data analysis can be used to analyze events, the future and risks for companies - Tools for decision data management and how they are used to make strategic business decisions - Machine learning and how machine learning methods are used in an organization - Laws and ethical aspects of data management and how both of these areas can affect a long-term business strategy - How BI solutions interact with IoT (Internet of Things) - SQL and its relationship to different tools, and how SQL is used to create various forms of dialect-based database management tools - Big Data and how large stores of data are handled, structured and stored, as well as different ways to visualize data - Business Intelligence-related programming languages The graduate has the skills to… - Based on the needs of an organization or a project, formulate solutions and create, format and use SQL for this purpose 2.2 Develop and manage cloud solutions - Model databases - Collect, migrate and refine data based on organization-specific needs - Identify an organization's needs and, based on these, create solutions in Apache Hadoop. - Select, combine, visualize and communicate data - Work with, create and communicate solutions using statistics, programming and the R programming language - Identify and develop KPIs for an organization - Develop organization-specific applications using object-oriented programming - Interpret and write requirement specifications for BI projects The graduate has the competence to… - Analyze data in order to make strategic business decisions - Integrate and combine data based on a specific target group and for a specific organization or business - Based on requirement specifications, plan, formulate and decide on analyses in BI-related projects 3.4 Develop strategies for handling, storing and refining Big Data in order to adapt the content to a specific organization - Guide colleagues in, among other things, decision support, ethical considerations in data management and cross-departmental BI projects. - Design technical solutions and/or systems with intelligent behavior. (E.g. Watson) - Adapt the form of data analysis to specific requirements or situations in an organization - Adapt the visualization of data that is specific to an organization, group or area to its target audience.
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