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What you can look forward to in wave 2 of Dynamics 365 in 2020

about 2 years ago by Nick Butler
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Microsoft Dynamics 365 is used by organisations across a range of industry sectors to integrate back-office functionality with in-store and online customer experience, as well as content and digital asset management. With its products also available in the Azure cloud, it has long been considered a best-in-class, secure, reliable, affordable product. October 2019 is set to be a busy month for Microsoft with some sweeping changes to the Dynamics 365 pricing and licensing coming at the same time as its wave 2 release.

Microsoft is moving away from its current approach, the one-size-fits-all plans, to a base licence model with the ability to add further apps as and when needed. Given the diverse nature of the customer base, Microsoft believe that a more bespoke Dynamics 365 product that addresses the unique requirements of each organisation, with mix-and-match additional software to serve various functional roles, will be more desirable. So, its entry level Customer Engagement plan will form the base licence that can be augmented and the former next level plan, Unified Operations, will be split into separate apps – Finance, Supply Chain, Talent and Retail. At the same time, over 400 new capabilities, feature updates and cloud application enhancements will come to Dynamics 365 with its wave 2 release – one of its largest ever updates. Microsoft’s PowerApps and Flow products are also moving into a per-app pricing model.

Microsoft is also taking the opportunity to roll out new AI-powered insights applications for business users, including Dynamics 365 Product Insights, Commerce, and Connected Store, as well as launching Dynamics 365 Commerce, an expansion of Dynamics 365 for Retail, to help retailers manage their business online. 365 Commerce will enable brands to create personalised product web pages, see customer reviews, and communicate with customers post-purchase, giving users the chance to harness artificial intelligence, data analytics and IoT tech to measure what's selling, who's buying and how to increase sales.