Requirements for the analytical process of demand forecasting
Vuorinen, Miikka (2019)
2019
Tietojohtaminen
Tekniikan ja luonnontieteiden tiedekunta - Faculty of Engineering and Natural Sciences
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Hyväksymispäivämäärä
2019-05-24
Julkaisun pysyvä osoite on
http://urn.fi/URN:NBN:fi:tty-201905211698
http://urn.fi/URN:NBN:fi:tty-201905211698
Tiivistelmä
Analytics can be viewed from various perspectives such as set of technologies, tools or processes. Building organizations analytical capabilities should be started from basics rather than pursuing unrealistic high-end analytics straight away. Identifying maturity of analytics in an organization creates the baseline and helps to set targets for the organization’s analytical capabilities development. Opportunities to utilize analytics are many and rather than focusing on all of these it is advantageous to start building organizations analytical capabilities from a selected use case which is prominent for an organization.
This research was conducted as an embedded case study and targeted to identify analytical process that supports demand forecasting in an organization. To answer this research problem literature review was conducted to establish theoretical framework around subject and to identify analytical process framework for demand forecasting based on the literature. After this, interviews were conducted to identify requirements in an organization for analytics and demand forecasting. Based on theoretical and empirical parts analytical process for demand forecasting was identified for an organization.
Building analytical process for demand forecasting in an international organization with various functions is not a straight forwarded development. Each function has their own requirements for analytics and demand forecasting. Common nominator with these requirements is a business need behind the process. Starting the process from a business need, guarantees that the process is expected to create value for the organization and for unnecessary forecasts are not created. Forecast is a view of the future based on past information. Therefore, it is important to communicate with relevant stakeholders throughout the demand forecasting process to ensure that right information is used as a basis for the forecast.
This research was conducted as an embedded case study and targeted to identify analytical process that supports demand forecasting in an organization. To answer this research problem literature review was conducted to establish theoretical framework around subject and to identify analytical process framework for demand forecasting based on the literature. After this, interviews were conducted to identify requirements in an organization for analytics and demand forecasting. Based on theoretical and empirical parts analytical process for demand forecasting was identified for an organization.
Building analytical process for demand forecasting in an international organization with various functions is not a straight forwarded development. Each function has their own requirements for analytics and demand forecasting. Common nominator with these requirements is a business need behind the process. Starting the process from a business need, guarantees that the process is expected to create value for the organization and for unnecessary forecasts are not created. Forecast is a view of the future based on past information. Therefore, it is important to communicate with relevant stakeholders throughout the demand forecasting process to ensure that right information is used as a basis for the forecast.