364
Eeva Rasi - Enfo

Career Stories April 04, 2017

Turning what’s been learned from software development into efficiency in the data jungle

New Enfo employee Eeva Rasi describes what the world of data looks like through the eyes of a software professional.

“My background is technical, and I’ve worked for a long time as a program developer and architect. Agile methods are close to my heart, and I draw strength from the teachings of Lean philosophy and the world of DevOps. I’ve managed to utilize the objects of my interest in a versatile manner – particularly in my thinking on new services and ways of working,” explains Enfo Data & Analytics unit consultant Eeva Rasi.

Eeva started working at Enfo in January 2017. She came to the company from Fujitsu, where she worked in software development as a production manager and as a Lean consultant. Now she is part of the eight-member Master Data Management & Advisor team. Data warehousing is a relatively new experience for Eeva, but luckily, expertise is developing at a dizzying speed in Enfo’s data modeling learning and instruction by ETL gurus.

“The best parts of my work are learning new things, versatility and variability. These factors make it possible to adapt your work to your own interests,” Eeva says.

Agile development, in particular, is close to Eeva’s heart. “SAFe, Scrum, Kanban – there are plenty of agile methods to choose from. Software development has undergone quite a transition over the last few decades. Agile methods are based on trying to resolve the challenges of the traditional waterfall model. At the beginning of a project, it’s rarely known which features will be required for the finished product. Changing requirements result in a lot of work and expense, and it’s more effective to build small functional entities in close cooperation with the customer. Among the most recent agile methods to come to the forefront is the DevOps operational model, which strives to close the gap between application developers and system specialists,” continues Eeva.



“Open communication, feedback, continuous improvement and learning are the cornerstones of agile methods. More than anything else, I see agility as an attitude. The DevOps data warehouse may still be utopia, but we can start with small steps, even by automating the testing of data warehouses right from the start,” she suggests.

The right information at the right time and in the right format


Digitalization is also disrupting the operational logic of data warehouses. It is difficult to draw conclusions with regard to fragmented data. A well-constructed data warehouse offers a cornerstone on which solutions that match the needs of a business can be built. As support for decision-making, the right information at the right time and in the right format is needed. Traditional reporting is based on the presentation of history, even if our gaze should be aimed at the future.

“I’m especially interested in the utilization of statistical scientific methods in the analysis and forecasting of information. In this area I’ve recently become familiar with the R programming language, which was developed for the needs of statisticians. It’s perhaps the best I know at the moment. R offers impressive tools for data analysis, visualization, forecasting and practically everything else for data,” Eeva clarifies.

The sky’s the limit for an avid computer programmer!