Agile Analytics
Organise data so it creates better value
Make informed strategic decisions based on data lake and analytics solutions.
Data Management or how to build and maintain your data assets
Data Management is the foundation of any information system. We guide you through every stage of the process from:
- data ingestion from various systems,
- its transformation using simple or complex business rules,
- its storage in different forms (SQL or NoSQL),
- its eventual enrichment using Artificial Intelligence,
- and finally its visualisation within dashboards and reports.
Business Intelligence
Business Intelligence aims to improve your understanding of your organisation’s performance through your data. A Data Lake is often needed as the base for your BI to gather data from various source systems and mesh them together to get a 360° view. Easily scalable, this modern data warehouse gives you an insight into your data through analytical dashboards, operational reports and advanced analytics that can be utilised by all your users.
Advanced Analytics
Advanced analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools (typically beyond those of traditional business intelligence (BI)) to gain deeper insights, make predictions and generate recommendations.
Techniques associated with Advanced Analytics often include data/text mining, machine learning, model comparison, forecasting, visualisation, semantic analysis, sentiment analysis, network and cluster analysis, multivariate statistics, graph analysis, simulation, complex event processing and neural networks.