Azure Data Foundations

Azure Data Foundations

Organisations Exploring or New To Azure And Modern Data Platforms

Summary

When moving to a modern data platform, namely Azure, the topic of governance must be addressed early to ensure successful cloud adoption within the enterprise. Azure Data Foundations is the due diligence and accompanying policies to give the client, its management and board the confidence that the right considerations have been thought through, and the appropriate research completed for success.

Modern business strategy demands secure, scalable solutions to handle growing data estates and the need for unprecedented levels of processing power to enable advanced applications such as IoT, Predictive Analytics, Data Science, Machine Learning and AI.

The shift to modern data platforms is already happening with savvy organisations reaping the rewards by leveraging existing data and collecting new data to become, proactive, predictive, agile and more competitive.

Engagement Format and pricing

A sample policy for Redcar (fictional company) is downloadable below:

Azure-Foundations-Data-Management-Policy-Redcar Download

Workshops and policies

  • Azure Foundations Due-Diligence Documentation
  • Subscriptions and Resource Groups
  • Security Best Practice, Access and Identify Management
  • Data Management
  • Data Quality Assurance
  • Cost Management
  • Templates, DevOps and Automation
  • Business Continuity and Disaster Recovery
  • Monitoring and Alerts

Outcomes

  • Cloud readiness – a great way for more risk averse, medium, to large organisations, to begin the cloud journey
  • Implementation and adoption of Best Practice methodology
  • Assurance in adopting an approach validated by professionals in the field, including addressing concerns for privacy with a Security First Approach
  • Microsoft guided Azure architectures
  • The customisation and delivery of all assets (policies) can complement and sense-check the delivery of any concurrent projects as well as already-implemented solutions
  • Build internal confidence around the Azure ecosystem, as well as the implementation of solutions in Azure
  • Setup of autonomous processes and templates, such as releases, monitoring and Azure Resources