09电竞官网押注
Data, Data, Data Part 1: Data Vault Modeling
As part 1 of our recent “Data, Data, Data” webinar series with D365FO, we hosted a session on the “Do’s and Don’ts” of Data Vault Modeling for 09电竞官网 . This session kicked off the series with a look at the data warehousing options relevant to 09电竞官网 for Finance and Operations implementations, in coordination with…
Read More09电竞官网 : The Return of Virtual Companies! (sort of)
Cross-Company Data Sharing For all previous versions of Dynamics AX, Virtual Companies have been a boon for installations spread out over many legal entities. Such installations could leverage Virtual Companies to share tables across the organizations, easing data management requirements and maintaining data integrity between entities. With the initial release of 09电竞官网 for Finance…
Read MoreData Integration Capabilities Available Now – 09电竞官网 for Finance and Operations On-Premises
The 09电竞官网 for Finance and Operations On-Premises deployment option continues to add features for customers not interested in making a move to the cloud quite yet. Data integration capabilities are now available for the deployment option for those on 7.2, Platform Update 12 build (version 7.0.4709.41184) or later. Using this new data integration feature…
Read MoreBusiness Intelligence (BI) Part 1: Microsoft Dynamics AX 2012 BI Out of the Box
Much has been announced in the past two years relating to Business Intelligence by Microsoft. For the Dynamics AX user, consider the laundry list of technologies and concepts: Management Reporter SQL Server Reporting Services SQL Server Analysis Services Cloud vs On Premise Office 365 Power BI Power Query/Map/View/Pivot… Datazen OLAP/Cubes Visualization Extract, Transform, Load BI…
Read MoreMaster Data Management in Microsoft Dynamics AX 2012 R3
What happens when you have hundreds of different users updating and modifying records at the same time? What if multiple users are changing customer’s information in different instances and were left with 4 slightly different addresses? How do we know what data we should keep and what data is duplicates? This is what master data…
Read More