UKOUG ’18 in Liverpool is now well and truly round the corner (booking.com and The Train Line kindly sent me reminders for my hotel room and my tickets the other day, as if I’d forget…) and that in turn makes it time for my final preview article ahead of the event.

Day Three opens with a clash (a nice problem to have) and I’m currently torn between Brad Winsor’s (Splash Business Intelligence) ‘Workforce Analytics – The Earth isn’t Flat, neither is Your Workforce Structure’ and Michael Hallas’ (Oracle) ‘Successful Star Schemas’. If anyone else is also unable to choose between these two, let me know and we can arrange to swap notes after.

At 9.55 I’ll be off to ‘Simplifying Management & Data Analysis with Oracle Autonomous Datawarehouse Cloud & Data Visualization’ by Edelweiss Kammermann (IT Convergence). My busy morning continues at 10.45 with Anthony Heljula’s (Peak Indicators) ‘HR Analytics Cloud for 65K Users – The HSBC Story’ – Anthony is always a fantastic speaker and such a large and important project is sure to hold a lot of important lessons for all who attend.

Alas, I’ve another clash at 11.40 so keen to buddy-up with anybody else also unsure on whether to attend Manu Brahmam’s (Nivo 1) ‘The Business Value of Analytics’ or Kevin Osborne’s (Office for National Statistics) ‘Life in the Cloud, a User Experience of Support & Upgrades’.

My afternoon kicks off with Tom Cassidy’s (Vertice) ‘PaaS & SaaS: Customer Success in Analytics and EPM at An Port, iCabbi, Abbey International Finance’, followed at 14.25 by Stewart Bryon’s (Red Pill Analytics) ‘DevOps for the Analytics Cloud Using the Developer Cloud Service’

My time in Liverpool will conclude with either Geraint Padfield’s (BPI on Demand) ‘Delivering a CRM that adds value to your business’ or Peter Scott’s (Sandwich Analytics) ‘Data Profiling is OK, Really it is’.

Despite a packed schedule I still have a few slots for coffee and drinks between Monday evening and Wednesday afternoon, so let me know if you’re around to meet and we’ll find a time that works. I look forward to seeing you all there.