Getting Started with Data & Analytics in Azure

While the long-term benefits of moving to the cloud have become increasingly obvious for many, migrating can be a daunting prospect. Inviso specializes in making this journey easy for you.

Overview

We have partnered with Microsoft to develop a streamlined approach for getting your data and analytics platform deployed to Azure in weeks, not months. We invite you to simplify and accelerate your cloud journey by leveraging our proven processes, industry-leading experts, and deep partnership with Microsoft.

These engagements are designed to demonstrate cloud agility by modernizing a strategic component of your overall Data & Analytics infrastructure in 30 days. If you’re already using Azure, we’ll work to provision resources and implement a data platform within your existing framework. If you’re still working out a longer-term cloud migration plan, we would love to help with that in parallel, but it does not need to slow down the data platform effort. We can provision your platform in a production-like environment, hosted on your subscription or ours, and easily move it into production when ready.

Step 1: Assess and Plan

Infrastructure discovery and discussion of your objectives to help us assess the appropriate resources for your needs, define a Proof of Concept (PoC), and estimate the associated Azure costs.

Microsoft’s Cloud Adoption Framework Workshop

  • Cloud strategy
  • Governance
  • Landing zone

Evaluation of Azure data services includes:

  • Azure SQL DB / Managed Instance
  • Azure Data Factory
  • Azure Analysis Services
  • Azure Synapse Analytics
  • Azure Data Lake Storage
  • Azure Databricks
  • Azure Virtual Machines
  • Power BI

Step 2: Provision Landing Zone

Infrastructure discovery and discussion of your objectives to help us assess the appropriate resources for your needs, define a Proof of Concept (PoC), and estimate the associated Azure costs.

Step 3: Deliver Proof of Concept

During our initial assessment and planning conversation, we will work with you to define a functional PoC that can include:

  • Connections to source data / systems
  • Data migration and orchestration
  • Power BI and data modeling

Step 4: Training & Adoption Planning

We will host workshops with your team focused on the PoC and Azure resources deployed including:

  • Detailed walkthrough of our PoC
  • Ongoing monitoring and optimization considerations
  • Next steps and handoff