Enterprise data analytics on Azure: 4-Month Impl.

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*.