Enterprise data analytics on Azure: 4-Month Impl.

ScienceSoft USA Corp.

A cost-effective enterprise analytics solution to integrate disparate data into secure, centralized storage, automate data management, and enable transparent data analysis and reporting.

Azure-based enterprise data analytics implementation includes:

  • Data analytics needs analysis.
  • Azure-based enterprise analytics solution architecture design.
  • Business case creation (with TCO and ROI calculation).
  • Setting up and integrating solution elements: a data lake, DWH and data marts, ETL/ELT processes, OLAP cubes, reports and dashboards, etc.
  • Data security configuration.
  • Adding data science capabilities, if necessary.
  • Solution QA.
  • Data migration (if necessary).
  • Solution launch.
  • User training.
  • After-launch solution support and evolution.

Technologies we use:

  • Azure Synapse Analytics for data warehousing and enterprise-scale analytics.
  • Azure Cosmos DB for operational data storage, reporting and analysis.
  • Azure Data Lake Storage for storing structured, semi-structured, and unstructured data.
  • Azure Data Factory for scale-out data integration and transformation.
  • Azure Stream Analytics for real-time data processing and analysis.
  • Built-in Apache Spark for big data analysis.
  • Power BI for self-service BI and data visualization.

Your benefits:

  • Accurate estimation of the solution implementation project due to our 32 years in data analytics.
  • Up to 30% project time and budget reduction due to effective project planning and monitoring.
  • Minimized development risks and early ROI due to iterative development.
  • Optimized cloud usage costs and data analytics solution performance.

Ballpark estimates for data analytics solution development for companies of different sizes (without monthly/annual cloud subscription fees) :

  • 200 – 500 employees: from $70,000*.
  • 500 – 1000 employees: from $200,000*.
  • 1000+ employees: from $400,000*.