“Data is the new oil – but just like oil, too often we waste it; either by discarding the resources at our disposal, or by not using them intelligently,” said Mark Hinds, CEO, Polymatica. “Data has an almost infinite number of applications – as long as it can be brought to where it’s needed, when it’s needed. Our aim at Polymatica is to turn data into a resource that can be used by the people who need it, at the time they need it – whether they are data scientists, line-of-business workers or C-Level individuals. For this reason, we have made our technology as effective, agile and easily accessible as possible – so users can let the story data is telling them be at the core of strategy and planning sessions. Even a few minutes’ delay can see people abandon a question, and ultimately rely on gut instinct instead of hard data. Instead, we can ensure data is central to decision making, and is available at the speed the modern business needs.”
Since any delay in reacting to industry pressures or implementing strategy can be critical to businesses, Polymatica’s technology is designed to make the process of analytics as fast as possible. While operating off a CPU base provides faster performance than competing solutions, the ability to use a GPU backend means businesses can access truly real-time analytics. Retailers can leverage embedded algorithms to do the analysis for them, allowing them to make decisions on-the-fly that inform targeted and personalised customer engagements. Similarly, financial institutions looking to create opportunities from the UK’s open banking reforms can automatically and continuously analyse customer data in real time to identify new product opportunities – whether at the board or branch level.
As part of its launch, Polymatica will also be targeting the EMEA channel, allowing prospective partners to take advantage of new revenue streams; from offering the technology to empower citizen data analysts, to providing analytics-as-a-service, to utilising AI to anticipate and automate common analytical tasks.
“We are on the cusp of a second revolution in data – not only in the information we can extract, but in our understanding of how widely we can use it,” continued Mark. “Vital to this revolution will be enabling subject experts in an organisation to use and explore data freely and easily, regardless of formal data training. The more organisations can empower citizen data scientists, the more agile, adaptable, and more successful they will be.”