Empowering Businesses with Data-Powered Intelligence

Harness the full potential of your data with Microsoft Azure and transform data into actionable insights. With the volume of data businesses produce, untapped data is a wasted opportunity, and isolated data is a lost treasure. Being a Microsoft Solutions Partner, we offer data modernization and AI services, empowering businesses to make informed decisions, optimize processes, and gain a competitive edge.

Our data experts, backed by years of experience, can craft a robust Azure data platform that simplifies your organization’s data management, enabling hassle-free end-to-end data services.

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Our Data Modernization Services

PreludeSys is an end-to-end service provider for all your data estate needs—from data extraction through visualization. As a certified Microsoft Gold Partner with a strong track record, we have assisted numerous mid and large-scale companies with their data modernization journey. Our engagement model encompasses consulting, implementation, support, and optimization services.

Consulting

  • Assess existing data and BI platform and their ability to identify gaps.
  • Provide a strategy to modernize legacy data platforms using Azure.
  • Provide a roadmap for the data modernization journey and outcomes.
  • Analyze existing governance policies and standards for enterprise data.

Implementation

  • Develop best-in-class modern data platforms for clients.
  • Migrate and unify data from on-premises systems to the Azure cloud platform.
  • Build tailored data and analytics infrastructure on Azure.
  • Configure BI solutions that serve analytics and reporting purposes.

Governance & 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

Journey map of data modernization services

Experience the Power of Data: A Four-Stage Journey to Data-Driven Success

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. The third stage involves leveraging valuable insights to make informed business decisions and enhance operational efficiency.

Finally, in the fourth phase, the incorporation of AI and ML technologies paves the way for sustainable growth and innovation. These four phases empower businesses to extract substantial value from their data environment.

Service offerings

Microsoft Fabric

Our fabric services offer the following:
  • Helps identify and implement data architecture according to business needs.
  • Create data pipelines to extract, transform, & load (ETL) data into Fabric.
  • Develop interactive dashboards and reports using Microsoft Power BI.
  • Implements real-time analytics on Fabric using Azure Stream Analytics and Databricks.
  • Build and manage data warehouses & data lakes, providing a centralized repository.
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Data engineering

Our data engineering solution offers the following:
  • Create enterprise data strategy and architecture roadmap.
  • Delivers robust and advanced data pipelines on Azure.
  • Empowers you to achieve data goals by configuring data lakes.
  • Addresses poor data management practices , data quality issues, and more.
  • Real-time data streaming using Azure Databricks (with Java, Scala, Python, R, etc. languages expertise)
  • Maintain enterprise data platforms—Data Mart, Data Lake, Data Warehouse, Data Stores, etc.
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Business intelligence

Our business intelligence solution has the following benefits:
  • Provides deep analysis to uncover hidden relationships and patterns in data
  • Produces information from big data ranging from descriptive to predictive
  • Builds compelling data visualizations like reports, graphs, charts, and dashboards
  • Create interactive dashboards and reports tailored to specific business needs.
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Artificial Intelligence

Our artificial intelligence solution encompasses the following:
  • Assess data readiness, identify AI use cases, and recommend appropriate AI tools.
  • Integrates with AI and ML models to streamline and automate complex tasks.
  • Cleaning, normalizing, and enriching data, ensuring it is suitable for AI model training.
  • Implement AI governance frameworks and risk management practices.
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Success
Stories

Breaking Data Silos: Revolutionizing Operations and ROI in Medical Nutrition Manufacturing
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Aviation & Seaport infrastructure solutions company connects systems, people, processes, and technology for a 60% reduction in manual tasks
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PreludeSys leverages AI & ML models to replace manual loan application processes for a leading financial services company
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Why modern data management?

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.

Optimizes cost

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

Our Perspectives

Build a successful data architecture using data engineering
The 9 Pillars of Microsoft Fabric for Data Analytics and Data Management
Advanced analytics using Power BI