Software Asset Management is critically important for effective Digital Transformation endeavours. Unused, unnecessary, incorrectly installed, duplicated software and ineffectively negotiated software license agreements consume vast amounts of budget that should be used for innovation and change management activities. Here are…
Data science in a nutshell It is important to note the difference between traditional Business Intelligence (BI) and data science. BI is concerned with aggregating and analysing past data and visualising it. Data science is more focused on modelling past…
It is important to note that AI, machine learning, advanced analytics and automation are not silver bullets that will enable you to reinvent your business overnight. They provide potential and over time, will deliver substantial value to your organisation, if…
Competitive pricing. Using stream analytics and machine learning, hospitality organisations can develop active pricing prediction models using historical demand fluctuations to develop early warning indicators. If bookings are trending towards low, drop the price slightly, if bookings are trending towards…
It is important to note the difference between traditional Business Intelligence (BI) and data science. BI is concerned with aggregating and analysing past data and visualising it. Data science is more focused on modelling past data in order to predict…
Organisations should not even think about the best technology to employ until they’ve developed a clear vision of how their digitally transformed business will look and act. Hein Pretorius —ooo000ooo— Talk to us about how my team and I will…
By Eva Noble, COO at Onpro Consulting. When I was at university and studying general and application controls for auditing, the term garbage in equals garbage out was something our lecturers and tutors used to refer to. That term…
Great interview with Hein Pretorius the CEO from Onpro on Robotic process automation, Artificial intelligence… The good the bad and the ugly. How to start when you decide to make the leap….
Data Science projects hold real business benefits even before the predictive insights are produced. Hein Pretorius —ooo000ooo— Data Science project benefits 1. A thorough and well documented understanding of your data value chain and how it supports your business. Hein…
In an ideal world, you’d bolt an AI to your enterprise data, switch it on and let it “do its thing”. Your new ERP platform would just suck in your old database and pop the information into all the right…