In complex, heavily instrumented industries, the convergence of traditional and real-time IoT streams creates an overload of data. To turn raw data into actionable information at scale, businesses need a way to quickly and predictably capture the big picture and drill into the detail that matters. Reduce the time to insight, cut down the time to value.
Datalytyx makes volume and velocity an advantage, not a burden. With our unique IoT data classification engine, we help you to tackle the biggest, most data-intensive analysis and make decisions 700 times faster. We provide the tools, technologies and people to offer you a powerful, pure software solution for your real-time
We support modern data projects by providing a managed data platform for analytics and machine learning, using only best-in-class data tools. We integrate your environment with platforms from our carefully selected set of partners – Talend, Snowflake and Databricks – creating a single integrated platform for Data and AI. We provide the best and brightest in data expertise and talent – including engineers, scientists and analysts – to manage your environment, and we make them available to you 24 x 7. For the largest-scale IoT data projects, our solutions offer seamless collection and processing of sensor data.
What does this mean for you? It means you can think bigger, move faster, dig deeper and understand better. It means you can drive down the time to decision making, deliver greater value to your network, and get from A to B at a faster pace than ever. Reduced risk, fewer headaches and no lost value.
Directors and Co-Founders
Justin has built a career on enterprise data management, data analytics, business process management and governance and performance management. He is skilled in understanding organisations, their data operations, and, most importantly, the challenges facing senior management and board level, across industries.
Chief Technology Officer
Guy has worked with IoT and time-series data for over 20 years in the satellite industry and focused on the development of new products and offerings to satellite technology clients. He is leading the Datalytyx development team to create new offerings in data architecture and processing.
Paul is a business-focused consultant advising heavily instrumented organisations how to modernise their data architecture and drive predictive insights from their inventory, demand and production data and enabling the exploration of very large data sets in time series/IoT data.
Professional Services Manager
As a customer-focused project manager, Andrew’s experience ranges across full project lifecycles, with particular emphasis on software development and IT infrastructure projects within the financial services sector.
Lead Technical Architect
Sam leads the technical architecture and verification of every big data engineering solutions we deliver. He focuses on key stakeholder relationships in order to fully understand the needs and key business pains driving the development of solutions.
Non-Executives and Advisors
Chairman of Non-Executive Advisory Board
Non-Executive Director, Banking & Finance Advisor
Non-exec Advisor, Analytics and Sourcing
Deborah has more than 30 years of global management leadership experience across the US, Europe, Australia and South Asia. She was previously Managing Director of Bank of America, Managing Director of Global Sourcing Transformation for Deutsche Bank, and a consulting partner at both PricewaterhouseCoopers and Arthur Andersen.
Our technical team comprises some of the best and the brightest in their field, and are accredited with certifications from our partners. Interpersonal and intelligent, they work closely with clients to deliver a managed service of the highest calibre.
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