We help businesses identify opportunities, implement solutions according to data science best practices, and deploy solutions into production systems. Our custom data analytics models and pipelines are maintenance-free and work from raw data, aggregating key information, and providing our clients with valuable insight.
We develop models that learn the patterns from data in various formats and extract relevant insights. Using top-notch algorithms and brain-inspired methods such as decision trees, artificial neural networks and deep learning, we determine underlying behaviour, categorise similar patterns, extract relevant features, detect anomalies and forecast future trends. Depending on the type of data and goals, the workflow from unstructured data to insights may include the following, and we can step in at any stage:
We collect data from any type of data store, build specific crawlers and web scrapers to fetch data, or interface with real-time data streams.
We transform the data with optimal tools and algorithms to prepare, clean, denoise, filter, format, deduplicate, augment, annotate and label.
We perform data aggregation using MapReduce or custom aggregation pipelines to query data from distributed data stores efficiently.
We extract features, train models to learn patterns from the data and export predictions to any type of data store.
We provide relevant recommendations and insight through data visualisation, streamlining search, manipulation and analysis.
We develop custom data pipelines that run 24/7 to incorporate new raw data in near real-time and to provide up-to-date visualisations.