ACT Annual Conference

ACT Annual Conference 2019

21-22 May 2019
Manchester Central, UK

Talk to CashAnalytics at our exhibition stand

You will find CashAnalytics at our exhibition stand in the main hall. Whether you are an existing client, interested in our software, or just curious about what CashAnalytics can do, we welcome you to come and have a chat with us.

ACT annual conference demo

View a demo

Take the opportunity to view a demonstration of our software so that you can see it an action!

Discuss your specific requirements with us at the ACT annual conference

Discuss your specific requirements

Every business case is unique. We'd like to hear yours so we can discuss how we can tailor our solution to your needs.

Have a chat with us at the ACT annual conference

Ask us anything

If you hadn't realised there was a software solution specifically for cash forecasting and liquidity reporting, come and have a chat with us to learn more!

About the conference

The Association of Corporate Treasurers (ACT) bills the ACT annual conference as the focal point of the corporate treasury calendar, saying it "brings together leaders in treasury and finance to provide you with the timely insights you need in today’s fast-moving market."

The conference will be attended by over 1,100 corporate treasury professionals, will feature over 100 expert speakers, and will host over 80 industry leading exhibitors.

Full details and an event schedule can be found on the ACT website

ACT annual conference

How to get there

Manchester Central is an iconic venue in the heart of Manchester. It is easily accessible by road, rail, and air. The nearest Metrolink stop to Manchester Central is St Peter's Square, from which the venue is a few minutes on foot. Full details can be found by visiting the Manchester Central website.

Take a look at our software

If you fancy having a quick look at our software before coming to talk to us, we invite to see our product walkthrough.

Cash flow forecasting software dashboard
Customisable models that pull data from any source
Data Modelling and Scenario Analysis