Digiterre, a software and data engineering consultancy, today announced the launch of DataMax, an enterprise platform for technology teams to manage and analyse big data.
It can be used in complex organisations where the integration, management and analysis of large and complex data sets, in the form of market, networks and relationships, or operational data, such as in trades and transactions, need to be conducted rapidly and in real-time, to achieve organisational success. The DataMax platform is based on multiple years of technology research and development and builds on Digiterre’s award-winning work for clients in the banking, investment management and energy trading sectors.
Ian Murrin, CEO and Founder, Digiterre, said: “Data is one of the greatest sources of competitive advantage in the digital age. Constant digital transformation is the new normal and data management underpins much of that transformative capability. However, organisations continue to operate in data silos and face challenges around the quality, volume and timeliness of their data reporting and analysis. This challenge grows by the day as the volume of data and number of alternative data sources available to all market participants, friend or foe alike, continues to grow exponentially. DataMax is a catalyst for digital transformation as it propels an organisation up the data maturity curve to the point where a substantial proportion of business processes, or even entire business divisions, can be managed using true data-led decision making. DataMax helps organisations realise that goal faster and with lower risk”.
Rajesh Jethwa, CTO, Digiterre, said: “DataMax takes the most complex elements of real-time data management and makes them simple to develop, deploy and operate at scale. Coupled with our domain knowledge, DataMax allows us to provide technology teams with the tools to improve operational and organisational effectiveness and accelerate data maturity thereby creating a springboard for data-driven insights and digital innovation”.
DataMax can be used to manage data challenges related to the data silos and disparate storage technologies so often associated with big data initiatives; data transport under volume and time constraints; data quality and validation; data enrichment to ensure fit-for-purpose information; and robust authentication and authorisation processes.
The platform can be applied to improve numerous organisational outcomes including; analytics platforms for market data teams and traders; regulatory reporting, for example required by MiFID II; more effective relationship mapping to maximise the performance of distribution networks; improved portfolio management through greater accuracy of trading positions and cash flow.
DataMax can be deployed in the cloud or on-premise and is designed for organisations in the investment management, energy trading, banking and insurance and public sectors.