In the previous part, the advantages and disadvantages of data analytics outsourcing vs building your own in-house capability, the overall conclusion was that outsourcing data analytics shouldn’t be an issue…
The big question around data analytics is always whether to build your own in-house capability or use outside help by outsourcing all or parts of your data analytics. See also:…
With more than 10 years of working experience with data, Renee employs his knowledge to help Helmes and its clients to discover new business opportunities. He is highly skilled at interpreting data and insights into credible, actionable narratives that support and drive data-driven business decisions.
Most of his career was spent in Microsoft, where he was a key contributor to Skype’s data strategy roll-out, which enabled quick and easy access to data and insights leveraging some of the newest technologies and solutions.
Kätlin has worked in the analytics field for four years, and her focus at Helmes is in helping organisations manage their data assets to find the best ways to provide insights from it. Kätlin has experience with working with large datasets and bringing new perceptions from data using BI tools; she is particularly proficient in Power BI, Microsoft’s business analytics service.
Her passion for data grew during her time in Finnair, where she started as business analyst and later led a team that supported various departments with their data needs.
Kristo started his career in a media and marketing agency. He soon discovered his passion for data and analytics, he has since been involved in software development and data projects in finance, telecom and logistics, and has co-authored scientific papers on data mining.
While skilled in data analysis and modelling, SQL and Python, Kristo finds it extremely fulfilling when data reveals new insights which drive agile decision-making.