Niels Buus Email & Phone Number | Co-founder Influlytics Better Marketing Spending, based on PhD research. Influlytics reduce the 50% black hole of wasted marketing spending. We help our clients identify which marketing channels are most effective. We identify the most relevant influencers for your brand and predict the influencer effects. I have worked as data scientist for Oxford University, and Wunderman Thompson as co-developer of new predictive marketing models in a post 3rd party cookie world. I have done sales forecasting for iPhone, H&M, Mikkeller, and regional sales forecasting for many other brands, based on CRM, social media and Google search data. Predicting future trends within the music industry, for some of the biggest bands in Denmark. My methods help musicians identify human emotional bonds to their songs and bands. Supervisor & Censor, Data Science exam projects & Master Thesis students. I have supervised more than 80 master thesis students, mainly within Machine Learning/AI/Predictive Modelling. Grade average for the students I have supervised is over 11 for their thesis. Example projects: Predicting most sold Christmas presents for DR.dk https://www.dr.dk/nyheder/indland/google-soegninger-afsloerer-her-er-aarets-10-populaere-julegaver Larger SoMe strategic analysis project, covering all Facebook data from GN Resound, Phonak, Widex, Siemens, Oticon & Starkey. SoMe and Google search advisory, ING Bank R&D, for Mark Cliffe and his team. Development of predictive models for Venture Fund prospect analysis. Modelling startup success. Sales, NPS & reputation modelling with social media and Google search data. Modelling of churn and donations. Employee churn modelling for large organisations. Development of new customer journey models. Predictive maintenance modelling. Worked 4 years for Roskilde Festival 2015-2018, at the Big Data Lab, a data science project run by CBS & IBM. I did predictive modelling of beer & drinks sales & concert attendance - using data from sales, Spotify, Google, YouTube & weather data. Teaching Big Data Analytics & Social Media Management CBS course for 5 years for more than 1.000 students 5 years experience as SAP consultant & Big Data Analyst within: SAP BO / BI / BW, SAP FI / CO. SAP data export & Financial & HR KPI´s & analytical report development. Senior HR big data modeller, with more than 5 years experience from very large organisations. Freelance consultant in Tableau, Google Trends and Influencer selection, including prediction of influencer marketing effects. Tools: Tableau, Google Trends, Python, SPSS, SAS JMP

Niels Buus

Co-founder Influlytics Better Marketing Spending, based on PhD research. Influlytics reduce the 50%...
Copenhagen, Capital Region, Denmark

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Niels Buus’s Location Copenhagen, Capital Region, Denmark

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Work Experience

Copenhagen Business School

Ekstern Lektor, Phd

2023-10-01 00:00:00 - Present

Wunderman Thompson

Data Scientist

2020-01-01 00:00:00 - 2021-01-01 00:00:00

University Of Oxford

Data Scientist

2019-01-01 00:00:00 - 2020-01-01 00:00:00

Evalua

Partner

2010-01-01 00:00:00 - 2018-01-01 00:00:00

Institute For New Economic Thinking

Junior Visiting Scholar

2016-01-01 00:00:00 - 2018-01-01 00:00:00

Reputation Institute

Senior Analyst

2008-01-01 00:00:00 - 2010-01-01 00:00:00

Sophion Bioscience

Finance Manager

2006-01-01 00:00:00 - 2007-01-01 00:00:00

Norrbom And Vinding

Finance Manager

2004-01-01 00:00:00 - 2006-01-01 00:00:00

Baan Nordic

Finance Manager

2000-01-01 00:00:00 - 2003-01-01 00:00:00

Burmeister And Wain Scandinavian Contractors

Controller

1999-01-01 00:00:00 - 1999-01-01 00:00:00

Skills

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Languages

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FAQ About Niels Buus

Niels Buus is located at
Copenhagen, Capital Region, Denmark

Niels Buus is a Co-founder Influlytics Better Marketing Spending, based on PhD research. Influlytics reduce the 50% black hole of wasted marketing spending. We help our clients identify which marketing channels are most effective. We identify the most relevant influencers for your brand and predict the influencer effects. I have worked as data scientist for Oxford University, and Wunderman Thompson as co-developer of new predictive marketing models in a post 3rd party cookie world. I have done sales forecasting for iPhone, H&M, Mikkeller, and regional sales forecasting for many other brands, based on CRM, social media and Google search data. Predicting future trends within the music industry, for some of the biggest bands in Denmark. My methods help musicians identify human emotional bonds to their songs and bands. Supervisor & Censor, Data Science exam projects & Master Thesis students. I have supervised more than 80 master thesis students, mainly within Machine Learning/AI/Predictive Modelling. Grade average for the students I have supervised is over 11 for their thesis. Example projects: Predicting most sold Christmas presents for DR.dk https://www.dr.dk/nyheder/indland/google-soegninger-afsloerer-her-er-aarets-10-populaere-julegaver Larger SoMe strategic analysis project, covering all Facebook data from GN Resound, Phonak, Widex, Siemens, Oticon & Starkey. SoMe and Google search advisory, ING Bank R&D, for Mark Cliffe and his team. Development of predictive models for Venture Fund prospect analysis. Modelling startup success. Sales, NPS & reputation modelling with social media and Google search data. Modelling of churn and donations. Employee churn modelling for large organisations. Development of new customer journey models. Predictive maintenance modelling. Worked 4 years for Roskilde Festival 2015-2018, at the Big Data Lab, a data science project run by CBS & IBM. I did predictive modelling of beer & drinks sales & concert attendance - using data from sales, Spotify, Google, YouTube & weather data. Teaching Big Data Analytics & Social Media Management CBS course for 5 years for more than 1.000 students 5 years experience as SAP consultant & Big Data Analyst within: SAP BO / BI / BW, SAP FI / CO. SAP data export & Financial & HR KPI´s & analytical report development. Senior HR big data modeller, with more than 5 years experience from very large organisations. Freelance consultant in Tableau, Google Trends and Influencer selection, including prediction of influencer marketing effects. Tools: Tableau, Google Trends, Python, SPSS, SAS JMP

Niels Buus currently works in the Copenhagen Business School |

No Languages Available

Niels Buus has prior
experience in the following industries:
Wunderman Thompson | University Of Oxford | Evalua | Institute For New Economic Thinking | Reputation Institute | Sophion Bioscience | Norrbom And Vinding | Baan Nordic | Burmeister And Wain Scandinavian Contractors

Niels Buus has the following professional experience:
Copenhagen Business School | Wunderman Thompson | University Of Oxford | Evalua | Institute For New Economic Thinking | Reputation Institute | Sophion Bioscience | Norrbom And Vinding | Baan Nordic | Burmeister And Wain Scandinavian Contractors