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Egham, Surrey
TW20 9QB
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October 16, 2017 at 9:00 am UTC
thru October 16, 2017 at 3:30 pm UTC


This is a free event



2 Kingdom Street Paddington
W2 6BD

Join PowerObjects for a day focused on how Housing Associations can reduce operational cost whilst improving the service level of customer satisfaction by having an integrated front-back office solution that harnesses the power of the Microsoft Cloud. Organisations will learn how to become more commercially focused and use traditional CRM functionalities to enable more targeted sales and marketing initiatives, whilst also using the same single platform to optimise services that address channel-shift/self-service, accessibility for field service engineers and use of intelligent assisted service applications.

Topics of Discussion Include: 

  • A single source of data across front, middle and back-office for more accurate reporting that can lead to better informed and quicker decisions
  • Improvements to customer experience and satisfaction levels due to enriched data that is supported across multiple channels
  • Automated business processes that can improve staff productivity levels such as field service scheduling or case management
  • An integrated platform that can be easily maintained and lower the cost of IT ownership via Microsoft Cloud services
  • Flexibility to adapt to new processes and external changes to the sector
  • A more digitally responsive and mobile workforce
  • Remove barriers between different departments within an organization that will lead to a more cohesive workforce
  • Predictive and personalized approach to tenancy and asset management


09:30 – Welcome and Coffee
10:00 – Challenges in Housing and the Role of Technology
11:30 – Demo and Discussion Part 1: Targeted Customer Engagement
12:00 – Lunch
12:30 – Demo and Discussion Part 2: Optimised Customer Service

  • Assisted Service
  • Self-Service
  • Field Service and Connected Field Service with IoT

14:00 – Demo and Discussion Part 3: Single View, Analytics and Future

  • Power BI
  • Integration
  • Predictive analytics, machine learning and Bots

15:30 – Close