Data Warehousing

The success of your data science projects depends on tidy and efficient data warehousing. We evaluate your current data infrastructure, provide recommendations tailored to your business needs and, if requested, carry out the upgrade.

The Challenge

You can't do data science without data. Traditional data warehouses are not designed with data science in mind.

How can you build your data infrastructure so that you don't spend a disproportionate amount of time transforming and cleansing data for each project?

The Solution

Our expertise in data warehousing, from traditional SQL systems, NoSQL / hybrid systems such as BigQuery and graph databases such as Neo4j leaves us ideally positioned to help you design and build your data warehousing for data science.

We can help you to remove the bottlenecks caused by inadequate data architecture from your data science workflow, allowing you to spend more time on analysis and improving models.

We also deliver a full optimisation of your SQL scripts and ETL processes and provide training sessions on data warehousing best practice.

Deliverables

01

A full evaluation of your current data warehousing set-up, including your ETL and scripted data pipelines.

02

A proposal on the best technologies for your use case, including data visualisation and third party tools for A/B testing, CRM and Voice of the Customer surveys.