A limited engagement that setup integration scenarios on Azure using Azure using Logic Apps, API Management, Service Bus and Functions.
A limited engagement that setup Advance Analytics scenarios in Azure using Azure SQL Data Warehouse, Azure Machine Learning and Power BI.
An evaluation engagement that creates a Microsoft Power Apps and Power Automate/CDS Proof of Concept based on your requirements.
An evaluation engagement that setup EDI integration scenarios in Azure using Azure Logic Apps and Integration Account.
An evaluation engagement that will set up PowerBI Dashboards and Reports based on your data.
This limited implementation is designed to evaluate if Dynamics 365 for Customer Engagement (Sales, Customer Service, Field Service, and Project Automation) is right for your organization.
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VNB implemented an integration solution for a healthcare services company to get patient details from providers into their cloud hosted care management solution.
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VNB implemented a B2B EDI solution for a leading 3rd Party Logistic Company using Azure Logic Apps and API Management.
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VNB assisted a major linen service provider to move its order processing from a third party legacy platform to Azure Integration Services.
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September 19, 2019
Embed PowerBI with PowerApps in a model driven app This solution is a little tricky compared to the canvas solution, but I am sure glad it is available now. 1) Before we start embedding Power BI with PowerApps reports in model driven applications, we must first make sure to enable Power BI Visualizations in the organization
February 26, 2019
Azure Logic Apps is the Azure’s workflow as a service and an integration/connective tissue between various services on-premise, hybrid and cloud applications. Azure Integration Service Environments are instrumental in enabling the running of mission critical, complex integration scenarios with ease. It is currently marked as a leader in iPaaS offerings quadrant. 200+ connectors available for
April 3, 2018
Introduction Mocking provides a way for APIs to return sample response even when their backend is under development. This enables app developers to proceed with implementation and testing and can be useful in many scenarios: · When the API façade is designed first, and the backend implementation comes later or is worked upon in parallel ·
