How we work

We work with you to identify valuable data sources that you uniquely have access to. We then help you take a systemic view of your business to find additional relevant adjoining data pools. By combining engineering, data science and advanced mathematics we then create the algorithms for your business, and work with you to integrate these into your customer experience, decision making, and workflow platforms. These solutions work seamlessly within your operations, helping you reinvent your customer journey, make faster decisions, and improve profitability.

The Gartner data analytics maturity model describes the journey that organisations progress through in their quest for analytics. Over the last decade organisations have been flooded with increasingly rich sources of data. This data is now typically stored in large corporate data lakes using Hadoop and Cloudera. The big challenge is now preparing or curating this enormous wealth of data so that it can be accessed as information by business users.

We help in this curation process, we help prepare and clean the data with reusable processes. We write algorithms that learn from the data, predictive algorithms that improve their own reliability. We then integrate this into your decision making process or workflow. We then help you manage this real time always on environment. Meanwhile, you get to make better, more reliable, more informed decisions – faster.

A range of case studies covering the following topics are available on request: