We Model We Predict
Data Science
Data has been around since IT systems were invented. And data had been a by-product of all the IT systems, merely supporting the functionalities of the IT systems. Nowadays, data has been looked at from a new angle. It is no longer a by-product, and data has become a distinct business asset that can produce additional value besides assisting the system functionalities. Data is analysed cohesively and used by analytical algorithms and models to generate new insights such as trends and forecasts.
How Can We Help
Data Engineering
Data Engineering is the task of preparing the raw data into a state that the business can use for advanced analytics. Due to the ever-growing data within the organisation, Data Engineering is the essential practice to ingest, process and store data in a well-organised way so that the business analysts and data scientists can use the final data for different purposes, e.g. to find answers to a business question, to discover data relationships and models to predict what may happen in the future.
We can help:
- Define datasets that align with business needs.
- Design data pipelines to transport and transform data from source systems into valuable and actionable information.
Machine Learning
Machine learning utilises computer algorithms and statistical models to find the relationships and trends amongst different data elements. It is an ongoing process to discover the best data elements and algorithms to give the best predictive analytics across the business problems, such as basket analysis, supply chain optimisation, customer churn analysis etc.
We can help:
- Evaluate and develop suitable Machine Learning models and operationalise the models to provide the maximum business values.
- Analyse and enhance the performance of existing Machine Learning models.
Would you like to start a project with us?
Give us a call or email us, we are happy to have a meeting with you to understand what you need and how we can help.