{"id":null,"code":"817615S","name":{"valueFi":"Creating Domain Value with Data","valueEn":"Creating Domain Value with Data","valueSv":""},"credits":5.0,"minCredits":5,"maxCredits":5,"tags":[],"createdAt":1790534900842,"contentList":[{"title":{"valueFi":"Osaamistavoitteet","valueEn":"Learning outcomes","valueSv":""},"content":{"valueFi":"By the end of the course, students will be able to:  \r\n\r\n1. Recognize the importance of analytical knowledge for managers and decision-makers.\r\n2. Explain how organizations use analytics to gain a competitive advantage.\r\n3. Understand how data analytics drives value creation within an organization.\r\n4. Describe the role of analytics in both internal and external organizational processes.\r\n5. Identify and understand the analytical skills and responsibilities of professionals within organizations.\r\n6. Understand how organizations across various industries leverage data analytics to their benefit.\r\n7. Describe key analytical technologies and their applications.\r\n8. Understand the processes and architecture involved in deploying analytics.\r\n9. Apply analytical methods to evaluate an organization’s analytics maturity and create a roadmap for improving its capabilities and competencies.","valueEn":"By the end of the course, students will be able to:  \r\n\r\n1. Recognize the importance of analytical knowledge for managers and decision-makers.\r\n2. Explain how organizations use analytics to gain a competitive advantage.\r\n3. Understand how data analytics drives value creation within an organization.\r\n4. Describe the role of analytics in both internal and external organizational processes.\r\n5. Identify and understand the analytical skills and responsibilities of professionals within organizations.\r\n6. Understand how organizations across various industries leverage data analytics to their benefit.\r\n7. Describe key analytical technologies and their applications.\r\n8. Understand the processes and architecture involved in deploying analytics.\r\n9. Apply analytical methods to evaluate an organization’s analytics maturity and create a roadmap for improving its capabilities and competencies.","valueSv":""}},{"title":{"valueFi":"Sisältö","valueEn":"Content","valueSv":""},"content":{"valueFi":"This course delves into the critical role of data analytics in modern organizations and the growing demand for professionals with analytical expertise. Key topics include:  \r\n\r\n* **The role of analytics in decision-making** and its potential to enhance organizational performance.\r\n* **Characteristics of analytical competitors** and how they achieve a competitive edge.\r\n* **Strategies for competing on analytics**, including applications in internal and external processes.\r\n* **A roadmap for advancing analytical maturity**, guiding organizations through stages of capability development.\r\n* **Key analytical roles within organizations** and strategies for fostering a culture that supports successful analytics implementation.\r\n* **Aligning technical environments with business strategies** to maximize the impact of analytics.\r\n* **The architecture of analytics and big data**, including deployment processes and technologies.","valueEn":"This course delves into the critical role of data analytics in modern organizations and the growing demand for professionals with analytical expertise. Key topics include:  \r\n\r\n* **The role of analytics in decision-making** and its potential to enhance organizational performance.\r\n* **Characteristics of analytical competitors** and how they achieve a competitive edge.\r\n* **Strategies for competing on analytics**, including applications in internal and external processes.\r\n* **A roadmap for advancing analytical maturity**, guiding organizations through stages of capability development.\r\n* **Key analytical roles within organizations** and strategies for fostering a culture that supports successful analytics implementation.\r\n* **Aligning technical environments with business strategies** to maximize the impact of analytics.\r\n* **The architecture of analytics and big data**, including deployment processes and technologies.","valueSv":""}},{"title":{"valueFi":"Suoritustavat","valueEn":"Study Methods","valueSv":""},"content":{"valueFi":"The course includes weekly video lectures, assignments, exercise sessions, and a final assignment. More information will be available on Moodle once the course starts.","valueEn":"The course includes weekly video lectures, assignments, exercise sessions, and a final assignment. More information will be available on Moodle once the course starts.","valueSv":""}},{"title":{"valueFi":"Toteutustavat","valueEn":"Teaching Methods","valueSv":""},"content":{"valueFi":"**Blended**. The approach includes self-paced online materials with on-campus teaching sessions. The former focuses on theory and the latter on case studies. The self-paced portion includes video lectures, article readings, and weekly assignments with deadlines. Additional sessions may be organized to offer further guidance. More details will be available on Moodle at the start of the course.","valueEn":"**Blended**. The approach includes self-paced online materials with on-campus teaching sessions. The former focuses on theory and the latter on case studies. The self-paced portion includes video lectures, article readings, and weekly assignments with deadlines. Additional sessions may be organized to offer further guidance. More details will be available on Moodle at the start of the course.","valueSv":""}},{"title":{"valueFi":"Oppimateriaalit","valueEn":"Learning material","valueSv":""},"content":{"valueFi":"<p>Learning material will be available in Moodle. Scientific articles can be downloaded from various online sources. The lecture content is primarily based on the course books.</p>","valueEn":"<p>Learning material will be available in Moodle. Scientific articles can be downloaded from various online sources. The lecture content is primarily based on the course books.</p>","valueSv":""}},{"title":{"valueFi":"Lisätiedot","valueEn":"Further information","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Kurssikirjallisuus","valueEn":"Literature","valueSv":""},"content":{"valueFi":"1. Davenport, T. H., Harris, J. G., & Abney, D. (2017). Competing on analytics: The new science of winning (Updated, with a new introduction.). Harvard Business Review Press. (Available as an eBook from the University of Oulu library) \t 978-1-63369-373-9\n2. Davenport, T. H., & Kim, J. (2013). Keeping up with the quants: Your guide to understanding and using analytics. Harvard Business Review Press. 978-1422187258","valueEn":"1. Davenport, T. H., Harris, J. G., & Abney, D. (2017). Competing on analytics: The new science of winning (Updated, with a new introduction.). Harvard Business Review Press. (Available as an eBook from the University of Oulu library) \t 978-1-63369-373-9\n2. Davenport, T. H., & Kim, J. (2013). Keeping up with the quants: Your guide to understanding and using analytics. Harvard Business Review Press. 978-1422187258","valueSv":"1. Davenport, T. H., Harris, J. G., & Abney, D. (2017). Competing on analytics: The new science of winning (Updated, with a new introduction.). Harvard Business Review Press. (Available as an eBook from the University of Oulu library) \t 978-1-63369-373-9\n2. Davenport, T. H., & Kim, J. (2013). Keeping up with the quants: Your guide to understanding and using analytics. Harvard Business Review Press. 978-1422187258"}},{"title":{"valueFi":"Esitietovaatimukset","valueEn":"Qualifications","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointiasteikko","valueEn":"Assessment scale","valueSv":""},"content":{"valueFi":"1-5/HYL","valueEn":"1-5/FAIL","valueSv":"1-5/FAIL"}},{"title":{"valueFi":"Arviointikriteerit","valueEn":"Assessment criteria","valueSv":""},"content":{"valueFi":"Weekly assignments, exercises (or supplemental tasks), and the final assignment.","valueEn":"Weekly assignments, exercises (or supplemental tasks), and the final assignment.","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 2","valueEn":"Evaluation criteria 2","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 3","valueEn":"Evaluation criteria 3","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Arviointikriteerit 4","valueEn":"Evaluation criteria 4","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Pääasiallinen opetuskieli","valueEn":"Primary Teaching Language","valueSv":""},"content":{"valueFi":"englanti","valueEn":"English","valueSv":"engelska"}},{"title":{"valueFi":"Taso","valueEn":"Level","valueSv":""},"content":{"valueFi":"Syventävät opinnot","valueEn":"Advanced Studies","valueSv":"Syventävät opinnot"}},{"title":{"valueFi":"Oppiaine","valueEn":"Subject","valueSv":""},"content":{"valueFi":"Tietojenkäsittelytiede","valueEn":"Information Processing Science","valueSv":""}},{"title":{"valueFi":"Vastuuhenkilöt","valueEn":"Person in charge","valueSv":""},"content":{"valueFi":"Sami Pohjolainen","valueEn":"Sami Pohjolainen","valueSv":"Sami Pohjolainen"}},{"title":{"valueFi":"Luokittelu","valueEn":"Classification","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}},{"title":{"valueFi":"Linkit","valueEn":"Links","valueSv":""},"content":{"valueFi":"","valueEn":"","valueSv":""}}]}