Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. When we handle big data, we may not sample but simply observe and track what happens. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an acceptable time and value.

Data Strategy

Mobilise can begin by creating a data strategy for your organisation which would include a Discovery exercise analysing existing data sources, ways of working and operations processes. This Discovery document would lead to a set of recommendations and clear roadmap to becoming a data driven organisation.

Modern Data Analytics Platform

In order to maximise the potential of your organisations data it must be brought together so data can be joined and new, previously unknown metrics and insights can be observed.

This could involve creating a modern data analytics platform that uses technologies such as data lakes to store unstructured and structured data in it's RAW format. Data is then transformed using automated jobs that enrich and modify data into a final state which is usually loaded into a data warehouse. From here reports are generated and analytics performed to present high quality charts and inisights using machine learning.

Our experience with the latest data tooling from AWS such as; Glue, QuickSight, Lambda, Lake Formation and RedShift enables us to build secure, performant and reliable modern data analytics platforms.