Dynamics Day 2015
Dynamics AX
Enterprise Cloud Computing
Agenda
• Use Lifecycle Services to redesign and
develop business processes, faster
• Use AX 7 technology stack to make better
decisions, faster
• Mine your data and use Machine Learning
to predict trends
Dynamics AX Roadmap
R3 CU9
PreviewAX 7
AX
2012
Update Update Update
GA Update Update
2015 2016 2017
Disclaimer: This roadmap is Intergen’s interpretation of expected
release cycles and is subject to confirmation of release dates as
announced by Microsoft
The Value of AX 7
Immersive
Experience
New Web
Client
Azure Cloud
Lifecycle
Services
Extensive
Functionality
Integration
Developer
Experience
Continuous
updates
Upgrade Readiness
Upgrade to AX
2012 CU9
Adopt Best
Practice
Processes
Ensure Smart
Development
and Design
Stick to
Patterns with
Customisation
Clean Up and
Standardise
Configuration
and Data
Ensure IT are
familiar with
Azure and
Visual Studio
Encourage
Power BI over
Fixed SSRS
Reporting
Minimise
Future
Customisation
Microsoft Dynamics Lifecycle Services
Implementation priorities and challenges
Best of both worlds
Best practices and differentiating processes
AX cloud momentum
‘Box’ implementation process
Azure marketplace – Dynamics Solutions
☁
☁
• On-demand scalability
• Data is many times already there
• One-click publish of production-level
service
• High-level solutions already available
Using Azure Machine Learning…
Azure marketplace Machine Learning
Dynamics Day 2015
• Calculate reorder points, safety stock
and update in AX.
• Predict who’s likely to default on
payments and surface to Collection
agents
• Use sensor data to predict machine
or part failure
• Move customers within price groups
to maximize margin
How could ML help you?
Takeaways
• Embrace and familiarize yourself with
Lifecycle Services
• Consider AX2012 R3 as a pathway to AX 7 if
you are not on that release
• Talk to us about how Power BI can help
you
• Talk to us about how Machine
Learning can help you predict
trends in your business
Dynamics Day 2015: Dynamics AX and Enterprise Cloud Computing

Dynamics Day 2015: Dynamics AX and Enterprise Cloud Computing

  • 1.
    Dynamics Day 2015 DynamicsAX Enterprise Cloud Computing
  • 2.
    Agenda • Use LifecycleServices to redesign and develop business processes, faster • Use AX 7 technology stack to make better decisions, faster • Mine your data and use Machine Learning to predict trends
  • 3.
    Dynamics AX Roadmap R3CU9 PreviewAX 7 AX 2012 Update Update Update GA Update Update 2015 2016 2017 Disclaimer: This roadmap is Intergen’s interpretation of expected release cycles and is subject to confirmation of release dates as announced by Microsoft
  • 4.
    The Value ofAX 7 Immersive Experience New Web Client Azure Cloud Lifecycle Services Extensive Functionality Integration Developer Experience Continuous updates
  • 5.
    Upgrade Readiness Upgrade toAX 2012 CU9 Adopt Best Practice Processes Ensure Smart Development and Design Stick to Patterns with Customisation Clean Up and Standardise Configuration and Data Ensure IT are familiar with Azure and Visual Studio Encourage Power BI over Fixed SSRS Reporting Minimise Future Customisation
  • 6.
    Microsoft Dynamics LifecycleServices Implementation priorities and challenges
  • 7.
    Best of bothworlds Best practices and differentiating processes
  • 8.
  • 10.
  • 11.
    Azure marketplace –Dynamics Solutions
  • 16.
    ☁ ☁ • On-demand scalability •Data is many times already there • One-click publish of production-level service • High-level solutions already available Using Azure Machine Learning…
  • 17.
  • 18.
    Dynamics Day 2015 •Calculate reorder points, safety stock and update in AX. • Predict who’s likely to default on payments and surface to Collection agents • Use sensor data to predict machine or part failure • Move customers within price groups to maximize margin How could ML help you?
  • 19.
    Takeaways • Embrace andfamiliarize yourself with Lifecycle Services • Consider AX2012 R3 as a pathway to AX 7 if you are not on that release • Talk to us about how Power BI can help you • Talk to us about how Machine Learning can help you predict trends in your business