Show Notes
In this episode (sponsored by CRMUG), we announce the new host for the podcast, Ulrik Carlsson. Ulrik is well known as the CRM chart guy, and he is looking forward to sharing his knowledge about analytics, Power Bi, and Dynamics 365 charts with podcast listeners. Topics discussed in this episode: What's next for Scott Sewell Customer Insights and how it relates to Power BI The future of Power BI and Power Apps Interactive dashboards in Dynamics 365 v9
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This episode has been brought to you by KingswaySoft. The new Customer Insights with Matt Wittemann. Dynamics 365 and CRM legend Matt Wittemann joins the podcast to discuss the Customer Insights solution that was made generally available recently. Customer Insights have been in preview for a few years. During this time they have been some iterations of the solution, features have come and gone, and has now landed on a solution tailored to analyzing customer profiles and people using varying data sources. Listen in as we go through the feature set, to get clarity on who this product is for, and why it's great solution for those companies.
This episode is brought to you by by Maplytics by Inogic.
This episode is brought to you by D365UG. Matt Lamb joins Ulrik Carlsson again to talk about the use of data science in Field Service implementations and why Field Service implementations are particularly interesting. The wealth of data can be used for both advanced machine learning scenarios to predict failures, creating advanced DAX formulas in Power BI to optimize Work Order scheduling, and why you might want to create your own ranking of Work Order as opposed to what is delivered out-of-the-box.
In this episode (brought to you by KingswaySoft), Ulrik Carlsson talks about changes to the experience of embedding Power BI in Dynamcis 365 and what is new in the April 2019 update for Power BI Desktop. Discussed in this episode: Changes to embedded experience Making your embedded reports visually match d365 Licensing implications Security implications Embedded reports and change management April updates for Power BI Desktop Updates to PowerApps visuals Automatically refreshing the data set Key influencer visuals Data Flows are leaving preview Pervasive artificial intelligence
In this episode (brought to you by mscrm-addons.com), Matt Lamb, Data Science and Commercial Analytics Lead at eLogic, rejoins the podcast to discuss what we need from our Dynamics 365 implementation when stepping into Machine Learning and AI. What do we need from our Dynamics 365 data in terms quantity and completeness to get effective results? What are the ways to deal with incomplete and what consequences does it have on your Machine Learning results when you make even simple updates to your business processes. In order to create a record set to use as a base for Machine Learning, you may not need as many records as you think, but need to strike the right balance of quantity and quality. In this episode we discuss: o How many records are really needed for effective machine learning? o What structure and maturity level of data is needed? o Supervised vs. Unsupervised Learning o How many people does Matt's dog need to meet? o What happens with your algorithms when you make changes to your business process? o Tips to make your data scientist happy Got questions or suggestions for future episode? Email [email protected]. This episode is a production of Dynamic Podcasts LLC.