Discover Alpha


Data Governance and Compliance with Purview

4 week Pilot Implementation of Purview

  • Understand what your organization wants and needs from data governance.
  • Consider common objectives:
    • Improving data discovery
    • Enhancing analytic collaboration
    • Maximizing return on investment (ROI)
  • Develop a comprehensive data governance experience:
    • Address specific requirements across different groups
    • Cater to various data domains within your organization


  • Develop a well-planned deployment strategy for Azure Purview.
  • Outline the transition from research and planning to a production environment.
  • Focus on user adoption:
    • Ensure business users have access to the information they need for better decision-making.


  • Identify questions your team may have as you begin the implementation process.
  • Determine where to find answers to these questions.
  • Start addressing questions early in the deployment.
  • Consider a phased deployment strategy tailored to your organization’s needs.


  • Continue to grow your deployment over time.
  • Refine and mature your environment as you gain experience with Microsoft Purview.
  • Leverage best practices for various applications and features within Microsoft Purview to optimize your governance platform.


Data Warehouse with Azure Fabric

12 week Pilot Implementation

  • Collaborate with clients to:
    • Understand their business needs
    • Identify data sources
    • Determine reporting requirements
  • Conduct an assessment of existing data infrastructure:
    • Identify gaps
    • Highlight opportunities for improvement


  • Implement role-based access control (RBAC) to ensure data security.
  • Address compliance requirements (e.g., GDPR, HIPAA) by configuring:
    • Data masking
    • Data encryption
    • Auditing


  • Create a robust data warehouse architecture tailored to the client’s specific use cases.
  • Define within the Azure Fabric ecosystem:
    • Data pipelines
    • Data ingestion patterns
    • Storage solutions


  • Integrate the data warehouse with analytics and reporting tools such as:
    • Power BI
    • Azure Synapse Analytics
    • Azure Analysis Services
  • Enable business users to:
    • Explore data effectively
    • Visualize data effectively


  • Implement data pipelines to perform ETL (extract, transform, and load) processes from various sources into the data warehouse.
  • Use tools such as Azure Data Factory, Azure Databricks, and others for efficient data movement and transformation.


  • Provide training sessions for end-users on:
    • Accessing the data warehouse
    • Querying the data warehouse
  • Create comprehensive documentation covering:
    • Data lineage
    • Schema
    • Best practices


  • Fine-tune query performance by optimizing:
    • Data partitioning
    • Indexing
    • Caching
  • Set up monitoring and alerting to proactively address issues related to:
    • Data quality
    • Latency
    • Resource utilization


Reporting and Analytics with PowerBI Co-Pilot

6 week Pilot Implementation 

  • Leverage Copilot for Power BI to automatically create report pages. Copilot uses generative AI to assist in building visuals, narratives, and summaries based on your data.
  • With just a few clicks, you can save hours of effort by letting Copilot handle report design and layout.


  • Implement the CoE Power BI Dashboard to gain deep insights into your Power Platform adoption. Monitor usage, identify patterns, and nurture makers within your organization.
  • The CoE dashboard provides visualizations and insights related to environments, apps, Power Automate flows, connectors, makers, and audit logs.


  • Microsoft Fabric reshapes how teams work with data by providing an end-to-end analytics platform. It connects data sources, analytics services, and users on a unified platform.
  • Integrate Power BI natively with Fabric, enabling seamless access to governed data from the unified data lake, OneLake.


  • Copilot allows seasoned BI professionals to scale their report creation efforts faster.
  • Less technically skilled users can explore data, create reports, and answer questions without burdening data teams.



  • Azure Purview for Manufacturing
  • Azure Fabric data warehouse for Manufacturing
  • CoPilot Implementation for Manufacturing
  • Customer Data Quality Analysis for Manufacturing
  • Generative AI Based Mortgage loan processing for mortgage aggregator
  • Delivery App for a startup
  • 360 B Prescription Drug Product Innovation in Azure
  • Nursing Home reimbursement Product innovation in Azure for consulting company
  • Azure data modernisation for Education content management system
  • Data Governance Process using Purview for Fortune 1000 healthcare company
  • Data Governance Process using Purview for Fortune 2000 retailer
  • Data quality assessment of customer data of regional bank



Make better data driven decisions and monetize your data assets using our Decision Science and Analytics service leveraging several machine learning techniques.


Product engineering expertise from product conceptualization to design to prototyping to build, solving the growth challenges that most inventors and entrepreneurs face


Leverage our proven data management techniques and information governance frameworks to accelerate your data transformation and modernization efforts.


Data Quality as a service that gives you the benefits of Software-as-a-Service yet is completely customizable, without the hassle of managing your own Data Governance infrastructure.


What it would otherwise take us years to detect sensitive data and accurately classify it for compliance, I can get it done by using Discover Alpha’s solutions in 2 months!

Director of Enterprise Analytics
Large Healthcare Device Company

Finally, a product development company that understands how to build software products from the ground up with a strong focus on data and monetization of it

Public Safety Solutions Company

With Discover Alpha’s unique experience in building data driven products, we were able to mobilize and monetize our data assets by ten-fold

Chief Data Officer
Large Financial Services Company

You have answered all my questions and allayed my fears about modernizing our data platforms by delivering high quality solutions.

Large Publishing Company
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