Data alone is not enough; it must be in an accessible and understandable format so timely business decisions can be made. Incline had entered into a reporting project for a
Incline’s tagline “Driven by Data. Powered by Genius.” encapsulates what’s best about Incline. As well using the latest analytical methods and tools, our analyst team works with our clients to help them grow their businesses. Thus, we’re starting a new monthly segment to find out more about Incline’s analysts and how they’re helping our clients. This month we start with Jan Oberholzer.
A famous adage in marketing is “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Today more and more data is being
Incline is currently accepting applications for the April 2020 programme. To apply send you cover letter and CV to recruitment@incline.co.za. The deadline for submissions is 29th February 2020
Incline is pleased to welcome three new analysts to the team: Abeedah Kadri, Nyasha Mawire, Professor Shabangu. All three completed the intensive six month training internship developed by Incline. The
I have had many people who are considering pursuing data analytics or data science as a career ask me about my experiences and day-to-day environment in the field. So here
Background Incline was hired for its consulting and analytical expertise to advise two of Kenya’s market-leading banks on how to drive revenue through cash displacement. Previous practice Kenya’s population is
This blog is the second in a series of articles introducing Incline’s AutoBot – a one of a kind product offering to help analysts automate key stages of model building.
Predictive modelling is a widely used process to represent existing characteristics in a data set in order to forecast future behaviours and trends. Its application spans a range of uses,
Written by Paballo Moeletsi We built an Incline employee recognizer! Image recognition and detection has changed many industries and has the potential to disrupt many more. More recently, facial recognition
Data alone is not enough; it must be in an accessible and understandable format so timely business decisions can be made. Incline had entered into a reporting project for a
Incline’s tagline “Driven by Data. Powered by Genius.” encapsulates what’s best about Incline. As well using the latest analytical methods and tools, our analyst team works with our clients to help them grow their businesses. Thus, we’re starting a new monthly segment to find out more about Incline’s analysts and how they’re helping our clients. This month we start with Jan Oberholzer.
A famous adage in marketing is “Half the money I spend on advertising is wasted; the trouble is I don’t know which half.” Today more and more data is being
Incline is currently accepting applications for the April 2020 programme. To apply send you cover letter and CV to recruitment@incline.co.za. The deadline for submissions is 29th February 2020
Incline is pleased to welcome three new analysts to the team: Abeedah Kadri, Nyasha Mawire, Professor Shabangu. All three completed the intensive six month training internship developed by Incline. The
I have had many people who are considering pursuing data analytics or data science as a career ask me about my experiences and day-to-day environment in the field. So here
Background Incline was hired for its consulting and analytical expertise to advise two of Kenya’s market-leading banks on how to drive revenue through cash displacement. Previous practice Kenya’s population is
This blog is the second in a series of articles introducing Incline’s AutoBot – a one of a kind product offering to help analysts automate key stages of model building.
Predictive modelling is a widely used process to represent existing characteristics in a data set in order to forecast future behaviours and trends. Its application spans a range of uses,
Written by Paballo Moeletsi We built an Incline employee recognizer! Image recognition and detection has changed many industries and has the potential to disrupt many more. More recently, facial recognition
