1. Advantages of D365 and Cloud Offering

3. Introductions
Tim Harris VP Strategy & Solutions
Arbela Technologies

4. Social Media – Stay up to date!
LinkedIn
linkedin.com/company/arbela-technologies
Twitter
Facebook

5. Azure

7. Evolution of AX / D365

8. Evolution of the Technology Dynamics Platform
Dynamics 365 for Operations
Dynamics AX
Dynamics CRM
Operations
Sales
Service
Field Service
Project Service
Marketing
PowerApps
Dynamics AX
Dynamics CRM
Scalability up and out with 32 Cores + 96GB Memory
Unlimited auto-scaling with no additional cost, Geo-Replication & Sync, On-Prem WMS, MES, Retail, Built in DR, Backup, Performance Management
Scale
Scalability limited to 8GB + 4 Cores per AOS – Have to Scale Out
.NET Connector Integrations + Early AIF Versions
AIF & DIXF integration
DIXF, SOAP, JSON, Microsoft Flow Common Data Service, Integration Services, Azure ML
Integration
Reporting
Web Connectivity via SharePoint EP, Native Reporting Engine, Some SSRS
Move to SSRS Reporting, SSAS Cubes for BI
SSRS, Entity Store, Integrated Power BI
Native Mobile Development, PowerApps for rapid mobile development
Mobile
No Native Mobile
Companion Apps for Expense, Approvals, Shop Floor

9. Evolution of the Functional Dynamics Platform
Dynamics AX 2009
Dynamics AX 2012
Dynamics 365 for…
Dynamics AX
Dynamics CRM
Operations
Sales
Service
Field Service
Project Service
Marketing
PowerApps
Dynamics AX
Dynamics CRM
Built in Workflow Engine with Workflow templates
Built it Workflow Engine with Workflow Templates
Workflow
Difficult .NET based external solution
No real modelling
Organizational Hierarchy for modeling and versioning org changes & policies
Organizational Hierarchy for modeling and versioning org changes & policies
Org
Modelling
Finance
Core Financial Engine
Expanded Dimension Functionality, Collections Management, eBanking Integration
Expanded Dimension Functionality, Collections Management, eBanking Integration, Financial Checklists
Robust Security, Role – Duty – Privilege - SoD
Compliance
Basic Security
Robust Security, Role – Duty – Privilege - SoD

10. Deployment Scenarios

11. Microsoft Ecosystem

12. The Microsoft Ecosystem

13. Common Data Service The three pillars of the Common Data Service are:
Be the focal point for your data: bring your data together into one place.
Be a great place to build and manage apps: help app creators and developers of all skill levels to easily create apps with the data in the Common Data Service.
It just works with the rest of Microsoft: provide out-of-the-box integrations with technologies across Microsoft including Flow, Power BI, and Office.
What CDS isn’t yet:
Master Data Management (MDM) – though it is being worked on.

14. Common Data Service between D365 Applications
Connect D365 For Sales and D365 For Operations using Common Data Service.
D365 Cust | D365 for Ops
Accounts  Customers
Contacts  Contacts
Products  Products
Quotes  Quotes
Sales Orders  Sales Orders
Invoices  Invoices
D365 for Customer Engagement
Accounts  Customer
Contacts
Products  Products
Quotes
Sales Orders  SO
Invoices  Invoice
Common Data Service
D365 for Operations & Finance

15. The Microsoft Graph

16. Extensibility Build custom LOB apps & automation
PowerApps
MSFT Flow
Dynamics 365
CUSTOM
CONNECTOR
CONNECTORS
GATEWAYS
Cloud services
On-premise data
3rd
party
apps
Common
Data Model
TAKE AWAY
Organizations often time require rapid building of purpose-built custom LOB apps. These may require data from many sources whether these are from cloud services, on-premise data, or business applications such as Dynamics 365.
PowerApps and Flow provide integration via Connectors and Gateways that make it possible for organizations to get data out of services they are already using.
Options:
Connector for Dynamics 365 (AX/CRM) is a purpose built connector to get data out of Dynamics 365 apps.
Connectors for cloud services is a custom built connector organization can build to get data out of services.
On-Premises Data Gateways make it possible to get data out of in-house LOB solutions/apps.
New: Office 365 integration using SharePoint Modern lists
Customer Stories:

17. Advanced Analytics

18. Approach to BI & Analytics Projects – ADI Analytics

19. Approach to BI & Analytics Projects
Target Personas
Define the
Questions
Define the
Business Model
Define
Facts
Define
Dimensions
DEFINE PHASE
Define the roles for a business area, within a targeted domain.
Define the critical questions to answer that drive all further work
Define the facts and definitions (dimensions) that surround those facts. List always in business semantics
Define facts with tables and fields from targeted data source.
Define dimensions with tables and fields from targeted data source.
Create
Semantic Layer
Create
Presentation Layer
Validate
Against Questions
Deploy
to Users
Training
& Support
CREATE PHASE
Create semantic layer that maps from your sources to the data warehouse for enabling presentation layer.
Create presentation layer for targeted persona’s that answer defined questions
Validate story from presentation layer against targeted personas and questions. Refine as needed.
Deploy presentation layer deliverables that relate to targeted personas and business questions.
Post deployment training for end users and technical staff. On-going support for expanding insights.

20. Advanced Analytics EXAMPLE SOLUTIONS Sales and marketing
Finance and risk
Customer and channel
Operations and workforce
Sales forecasting
Fraud detection
User segmentation
Agent allocation
Demand forecasting
Credit risk management
Personalized offers
Warehouse efficiency
Sales lead scoring
Product recommendation
Smart buildings
Fraud detection is just one scenario where we’re seeing very broad use of Advanced Analytics. The above is just a snapshot, but it gives you an idea of the other areas where Advanced Analytics is helping solve tough business problems.
For example sales and marketing is the #1 use of Advanced Analytics today. That’s because most any business of any type can benefit from knowing what customers are going to stay or leave, how to keep the churn risk segment happy and how to make the most of their most valuable customers. We have some more specific examples of that coming up.
Marketing mix optimization
Predictive maintenance
Supply chain optimization

21. Relationship Insights

22. Base Cards - Relationship Insights

23. Email Cards – Relationship Insights

24. Embedded Interface

25. Relationship & Email Engagement, Productivity - Insights

26. IoT

27. Innovation at work – real world IoT use cases
Aircrafts
Cows
Street sweepers
Electric charging stations
Auto
Fryers
Oil equipment
Dogs
Vending machines
Buses
Power plant
Buildings
Internet of Things
Factory floor
Oil distribution
Racing
Elevators
Trucks
While there are a lot of interesting IoT scenarios unfolding in the consumer space, based on our experience in working with customers and partners we see the majority of IoT value being enabled in the commercial space.
This is backed by a recently released McKinsey report that states that 70% of the value enabled by IoT will come from B2B scenarios.
Whether its Rockwell Automation, from whom you'll hear from later on today, that is helping its oil and gas customers improve efficiency by monitoring supply chain assets, or ThyssenKrupp elevators that is doing predictive maintenance on elevators to prevent unscheduled downtime for their customers, or the Stanford Linear Accelerator Center (SLAC) that is using IoT to continuously monitor various sensors of the linear accelerator to anticipate problems, take action and prevent failure; organization of all types are starting to harness the value of IoT to transform themselves.
Of course, as a solution provider you could very well be working with a customer that's creating a consumer product, let's say a car manufacturer. However, the value you'll be providing in this B2B2C scenario is helping that organization build an enterprise grade IoT solution so they can launch their products.
Our focus here is simply to enable build enterprise grade internet of their things solutions for your customers. Our goal is to provide you the best platform to do this.
Power tools
Vaccine dispensers
Mining equipment
Surveillance
Engines
Postboxes
Smart meters
Smart grids
Medical devices

28. Operational Efficiency

29. Business Intelligence

30. Business Intelligence