Creating value through Business Intelligence
Rissanen, Paula (2022)
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022110722162
https://urn.fi/URN:NBN:fi:amk-2022110722162
Tiivistelmä
Business Intelligence is a concept known since the 1950s and it has evolved from a concept to technological platforms that companies can utilize in their business operations. Business Intelligence can be defined as processes, technologies, and tools that turn data into information. Business Intelligence and especially the technological tools created, have enabled companies to monitor processes and financials and estimate future prospects, and help in budgeting and process planning. Investing in digital platforms to enhance performance at all levels in the company, requires planning and a big portion of the company budget.
How well do these platforms serve the end users? This thesis aims to find out if Business Intelligence creates value and if it helps management in decision-making. The empirical part of the research suggests that Business Intelligence is of great help to management. Data-driven companies often get better results as they can analyze past data to forecast the future. Defining the targets is the hard part of the process, but when the targets are defined the data is easy to collect.
Reima Europe Oy as the case company has recently adopted a new Business Intelligence platform called QlikSense. This thesis aimed to find out how much the new platform has been used and how the end users experience the platform. An interview with the process owner gave insights into user data and master user information. The interview combined with a questionnaire to the end users gave a good picture of the current level of usage and how the end users saw the platform QlikSense. Most of the respondents thought that QlikSense is a good tool, but they did not know all the available features and they had to modify the data in other software (ie. excel).
The common insight was that it is a good platform to combine data from various sources, but they could not utilize it as much as they would have wanted to. All data is modified and then reported forward. To conclude it can be said that Business Intelligence creates value for companies. It only depends on how the platform is being utilized and if there is enough knowledge and skills among the end users. The conclusions were that more training is needed to first know how to use the platform in full and secondly to make
the end users understand how the data, they are handling, is utilized by the management.
How well do these platforms serve the end users? This thesis aims to find out if Business Intelligence creates value and if it helps management in decision-making. The empirical part of the research suggests that Business Intelligence is of great help to management. Data-driven companies often get better results as they can analyze past data to forecast the future. Defining the targets is the hard part of the process, but when the targets are defined the data is easy to collect.
Reima Europe Oy as the case company has recently adopted a new Business Intelligence platform called QlikSense. This thesis aimed to find out how much the new platform has been used and how the end users experience the platform. An interview with the process owner gave insights into user data and master user information. The interview combined with a questionnaire to the end users gave a good picture of the current level of usage and how the end users saw the platform QlikSense. Most of the respondents thought that QlikSense is a good tool, but they did not know all the available features and they had to modify the data in other software (ie. excel).
The common insight was that it is a good platform to combine data from various sources, but they could not utilize it as much as they would have wanted to. All data is modified and then reported forward. To conclude it can be said that Business Intelligence creates value for companies. It only depends on how the platform is being utilized and if there is enough knowledge and skills among the end users. The conclusions were that more training is needed to first know how to use the platform in full and secondly to make
the end users understand how the data, they are handling, is utilized by the management.