Xavier Africa
11/11/2022
Data Analytics
Xavier Africa renders a full range of data analytics services to help companies solve business problems with accurate forecasts and predictions, root-cause analysis, (big) data mining and more. We help clients leverage data analytics to improve operational efficiency using descriptive dashboarding, predictive analytics, and prescriptive modeling.
Use Cases
- Business Planning & Forecasting
- Business Process Analysis
- Effort Optimisation
- Process simulation
- Recommendation Engines
Our Process
01. Business analysis
- Defining business needs a firm wants to address with data analytics .
- Analyzing the existing data analytics environment (if any).
- Designing a data analytics strategy and roadmap.
- Selecting optimal data analytics methodologies and technologies.
- Deciding on machine learning solution deliverables.
02. Data preparation
- Exploratory analysis of the existing data sources.
- Data collection, cleansing, and structuring.
- Defining the criteria for the model evaluation.
03. Development and implementation of machine learning models
- Model exploration and refinement.
- Model testing and evaluation.
- Fine-tuning the parameters of Machine Learning models until the generated results are acceptable.
- Deploying the Machine Learning models.
04. Reporting
- Delivering machine learning output in an agreed format.
- Integrating machine learning models into an application for users’ self-service, if required.
05. Support and maintenance of machine learning models
- Continuous monitoring and tuning of ML models for greater accuracy.
- Adding new data to the ML models for deeper insight.
- Building new ML models to address new business and data analytics questions.
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