According to a recent article published on the Internet, the rules of commerce and interaction are changing so radically that business strategies will never look the same again. Some global companies who have embraced digitalisation strategies, have grown their revenues…
Benefits of collecting ERP transaction data into a central big data store, augmenting the data and using advanced analytics to build transaction and user behavior patterns and profiles include: The user and transaction behavior profiles will provide you with all…
The contravention of governance and compliance rules are real risks for growing and larger organisations. A major impediment to smooth operations and sustainable growth in organisations is the lack of adherence to standard business processes. Business leaders and executive management…
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…
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…