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This week on the Microsoft Dynamics 365 Customer Engagement and
CRM blog roundup:
Writing on the
Microsoft Dynamics 365 Blog, Jigisha Deb stated that most
companies use sales pipeline data to assess a very generalized
picture of future sales.
However, Deb stated that if a company could standardize on
top-performing sales processes and establish an accurate, targeted
picture of the customer, the pipeline data would be more reliable
and future sales would become more predictable.
In her blog post, Deb noted the two things that can help sales
leaders better predict sales and explained how Dynamics 365 Sales
can help them make more consistent data-driven decisions across the
company rather than decisions based on guesswork.
Writing on his
Temmy Raharjo Blog, Raharjo stated that one of the most common
issues that developers face revolves around caching data.
In Dynamics CRM on-premises you can use MemoryCache class to
cache the data but since you can't directly access the server in
the cloud version, the way to use the cached data is through an
in-memory data store such as Azure Redis Cache.
Raharjo then explained how to set up the Azure Cache for Redis,
how to set up the plugin project and deploy the plugin to your CRM
Business Applications communities