Data Analytics
Data Analytics
This involves analysing raw data and gaining knowledge from the information. We use various tools and techniques to make decisions to successfully support your business. Data lakes and warehouses are designed to store, retrieve, and mine raw data effectively. Therefore, taking the specifics of each business into consideration, we clean and analyse the data, but also find ways to utilise it.
By creating models of information systems, we are able to visualise and communicate the relationships between data points and structures. The goal is to demonstrate the type of data that is stored and used within the application, the relationships among those data types, the various ways in which data can be grouped and organised, and the attributes and formats of the data that are built around business needs.
An ideal data model is constantly evolving to meet the demands of the business. IT architects and strategists help plan and support business processes and can be shared with third parties.
Our experienced data modelling team can put in place the three steps of data modelling i.e. physical, logical and conceptual.
Artificial intelligence (AI) is very important for developing and using computer devices that can simulate human intelligence to execute an assignment. Machine Learning (ML) is a subclass of AI which is important for data analytics and include algorithms that can learn on their own. ML permit applications to access a data and analyse it to envisage outcomes without programming system to conclude analysis. ML algorithm can be trained on little data and the system can learn as more information is collated and becomes more accurate in due time. Our team can help and support you with ML.