WHY MICROSOFT FABRIC?

Microsoft Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified analytics platform delivered as Software as a Service (SaaS) model. It’s the right, AI-powered analytics platform for your Data Modernization journey to collect, store, manage, and analyze data efficiently and intelligently.

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Our Approach

PreludeSys is an end-to-end service provider for all your data estate needs—from data extraction through visualization. We are a trusted, certified Microsoft Gold Partner that has helped many mid and large-scale companies manage their data needs through a broad engagement model covering consulting, implementation, support, and optimization services.

Consulting

  • Assess existing data and BI platform and its ability to serve the purpose.
  • Provide strategy to modernize legacy data platforms using Microsoft Fabric.
  • Provide a roadmap for the data modernization journey and outcomes.
  • Assess governance policies and standards for enterprise data.

Implementation

  • Set up data governance strategies and best practices.
  • Continuously improve and maintain data quality across all business units.
  • Ensure data security and privacy regulations compliance.
  • Help meet data standards by suggesting optimal processes, systems, and tools.

Governance and optimization

  • Set up data governance strategies and best practices.
  • Continuously improve and maintain data quality across all business units.
  • Ensure data security and privacy regulations compliance.
  • Help meet data standards by suggesting optimal processes, systems, and tools.

Data modernization journey map

Journey map of data modernization services

Data modernization journey leveraging Microsoft Fabric – a four-stage process

Data modernization is a four-stage process that starts by unifying and democratizing data. The next phase proceeds through continuous cleansing, migration, curation, and augmentation for further analytics and reporting purposes. Third, with appropriate insights, businesses make informed decisions and refine their processes.

Finally, with the use of AI and ML, they can drive sustainable growth and innovation. These four phases help businesses derive value from their data landscape.

Fabric offerings

Microsoft Synapse

  • Creates enterprise data strategy and architecture roadmap
  • Delivers robust and advanced data pipelines on Microsoft Fabric
  • Empowers you to achieve data goals by configuring data lakes
  • Provides deep analysis to uncover hidden relationships and patterns in data
  • Produces information from big data ranging from descriptive to predictive
  • Addresses poor data management practices, data quality issues, and more.
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Power BI

  • Build a cloud-based, scalable, and secure data warehouse to find and analyze the right data.
  • Design and create intuitive reports and dashboards
  • Now in preview: Understand data, create reports, and share insights using conversational language prompts with Copilot in Power BI.
  • Modernize Excel-based reports into Power BI visualizations.
  • Deliver data reports and insights directly within the Microsoft 365 apps you use every day
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Data Factory

Our Data Factory solution covers the following:
  • Plan, strategize and validate
  • Adopt security best practices
  • SQL-based DB to Azure cloud migration
  • Azure Logic apps
  • Azure functions
  • Azure API Management
  • Azure Event grid
  • Azure Logic apps
  • Azure functions
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Data Activator

Our Data Activator solution:
  • Real-time data monitoring and action
  • Configurable alert conditions and automatic trigger response

Value
Proposition

Unified experience

Unify all your data in a centralized repository and gain complete data visibility.

Instant clarity

Gain instant access to data from anywhere on any device through the Azure cloud.

Unmatched security

Benefit from a highly secure cloud foundation with multilayered, built-in security controls.

Optimize costs

Eliminate multiple systems and reduce the cost of maintaining legacy infrastructure.