Analysis of the Introduction of Business Intelligence and Data Warehousing into Businesses in Latvia

Jānis Birznieks, Lasma Licite-Kurbe
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Abstract

The market of global business intelligence technologies reached EUR 18.3 billion in 2017 and is expected to reach EUR 22.8 billion in the near future, as such technologies provide companies with a number of benefits: new information for business decision-making, real-time financial reporting and manual work automation. Nevertheless, many companies around the world do not achieve the desired results of applying business intelligence and data warehousing technologies. The research aims to develop scenarios for applying business intelligence and data warehousing tools in entrepreneurship in Latvia based on an examination of the tools. The research has found that the companies examined in the case study have introduced business intelligence along with data warehousing; however, there are differences in applying the business intelligence and the level of its advancement. Overall, a business intelligence system makes core and support operations and processes faster, as well as reduces costs and requires less human resources. However, problems were identified concerning a lack of motivation in employees to learn new technologies. The scenario analysis concluded that large companies should perform as many administrative and technological processes related to the mentioned technologies as possible themselves rather than outsource them, which allows them to save funds on the development of such technologies and improve the company’s data culture.
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拉脱维亚企业引入商业智能和数据仓库的分析
全球商业智能技术市场在2017年达到183亿欧元,预计在不久的将来将达到228亿欧元,因为这些技术为公司提供了许多好处:为业务决策提供新的信息,实时财务报告和手动工作自动化。然而,世界上许多公司在应用商业智能和数据仓库技术方面并没有达到预期的效果。该研究旨在根据对工具的检查,开发在拉脱维亚创业中应用商业智能和数据仓库工具的场景。研究发现,在案例研究中考察的公司在引入数据仓库的同时引入了商业智能;然而,在商业智能的应用和发展水平上存在差异。总体而言,商业智能系统使核心和支持操作和流程更快,同时降低成本并需要更少的人力资源。然而,我们发现了员工缺乏学习新技术的动力的问题。情景分析得出的结论是,大公司应该自己尽可能多地执行与上述技术相关的管理和技术流程,而不是将其外包,这使他们能够节省开发此类技术的资金,并改善公司的数据文化。
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