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OCF DATA signs agreement with Panintelligence to integrate Business Intelligence and Analytics

We’re pleased to announce that OCF DATA has recently signed a partnership agreement with Panintelligence.

Panintelligence PI allows users to gain a multi-dimensional view of their business, anywhere, any time, and on any device. It offers intuitive dashboards comprised from in-enterprise and third party data from various business process areas. Users drill-down into different data sets for instant analysis and insights that allow management to drive improvements in business or process performance.

Cliff Brereton, Director at OCF DATA comments, “Quite often our customers have all the answers to optimal performance contained within their data, but due to the sheer size of the data held it is impossible to extract these insights and put them to use in optimising performance without appropriate tools such as PI. This is an exciting opportunity for us to help those clients who are wanting to get started with their data journey and deliver better operational performance. Our partnership with Panintelligence will provide the technology and the know-how to make these performance improvements a reality.

The new partnership will see OCF DATA and Panintelligence provide solutions for four key industries; manufacturing, higher education, healthcare and utilities. Both companies will be present as exhibitors at MACH2018 in April, which is the UK’s leading manufacturing technologies event, showcasing how the Panintelligence dashboards can help with optimising production performance, forecasting production volumes & supply chain and enhancing customer engagement.

Zandra Moore, Sales and Marketing Director at Panintelligence commented, “We are delighted to welcome OCF DATA into the Panintelligence partner community. OCF DATA is a strategic adviser and data consultancy business, working in some of our core markets. We look forward to working together to drive the pace of change in these sectors by improving outcomes through self-service data analysis.”

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