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Implementing Microsoft Dynamics 365 for Finance and Operations

You're reading from   Implementing Microsoft Dynamics 365 for Finance and Operations Implement methodology, integration, data migration, and more

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Product type Paperback
Published in Sep 2017
Publisher Packt
ISBN-13 9781787283336
Length 562 pages
Edition 1st Edition
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Authors (3):
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JJ Yadav JJ Yadav
Author Profile Icon JJ Yadav
JJ Yadav
Rahul Mohta Rahul Mohta
Author Profile Icon Rahul Mohta
Rahul Mohta
Yogesh Kasat Yogesh Kasat
Author Profile Icon Yogesh Kasat
Yogesh Kasat
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Toc

Table of Contents (15) Chapters Close

Preface 1. Introduction to Microsoft Dynamics 365 FREE CHAPTER 2. Implementation Methodology and Tools 3. Architecture and Deployment 4. Project Initiation and Kickoff 5. Requirements, Business Process Analysis, and Traceability 6. Configuration and Data Management 7. Functional and Technical Design 8. Integration Planning and Design 9. Building Customizations 10. Analytics, Business Intelligence, and Reporting 11. Testing and Training 12. Go Live 13. Post Go Live Support 14. Update, Upgrade, and Migration

Cortana Intelligence SuiteĀ 


Cortana Intelligence Suite (CIS) is a collection of tools and offered by Microsoft, which transforms data into intelligent actions. Cortana also offers predictive capabilities with the help of state-of-the-art machine learning algorithms.

While Power BI is a great tool, the demand for intelligent insights never reduces to seek actions and predictions. With Azure, one can leverage several options in advanced analytics by coalescing Azure services as shown below:

  • Cortana Intelligence: This is an actionable and intelligence-driven suite based on advanced analytics.
  • Azure HDInsight: This is a cloud Spark and Hadoop service for big data processing.
  • Azure Machine Learning: This is used for predictive analytics.
  • Azure Data Factory: This composes and orchestrates data services at scale.

The following image shows the usage of advanced Azure analytics capabilities along with Power BI:

Cortana works on data in Azure stores, such as Azure DB, Azure DW, and Azure Data Lake, as well...

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