Data Management

We help you uncover untapped potential around big data and hardware. We work with you to uncover business problems big data solve. We work with company executives involved in strategic and tactical decision making as well as line-of-business managers responsible for cost reduction initiatives. We also consult for marketing managers who need to gain insights on competitive intelligence, to explore untapped customer and market opportunities.

We apply a variety of tools, applications and methodologies to help organizations collect data from internal systems and external sources; prepare it for analysis; develop and run queries against that data; and create reports, dashboards and data visualizations to make the analytical results available to corporate decision-makers, as well as operational workers.

To achieve this, your data supply chain and processes need to be reimagined to ensure transparency, trust and accessibilility at speed. Your data needs to be democratised and made readily available, in a consistent manner, across your entire business. That’s where Quadratic Analytics come in. Our experienced data management specialists can empower you with the right skills, processes and technologies to ensure your data assets provide a vital foundation for your data lead strategy.

Typical engagement includes:


Quadratic Analytics help help you establish a future-ready data management solution that empowers every aspect of your business. Architect, design, model, and implement data management solutions that you will value.

Combine real-time, structured, unstructured, and big data to share consistent and common understandings of information across your business.
Apply governance that reduces the risk of data misuse and improves data quality, and still provides the business with the opportunity to react to opportunity.

Define and implement strategies around meta-data management that will drive today’s automation in implementation, and tomorrow automation in machine learning led business decision making.

Data Vault 2.0 data modelling and automation. We’re practiced Data Vault since 2009 and have built up experience and IP around how to best implement and automate your Data Vault 2.0 solutions.