Data Platform in 30 Days

Definition – Enable a fast, cost-effective, and agile path to insight. Paradigm’s Data Platform in 30 Days is designed to fast track your journey towards a unified modern data platform in Azure, enabling you to make data your focus. Stop struggling to extract value from gigabytes of data. Trade complex legacy and siloed infrastructures for scalability, performance, administrative, and security benefits of the cloud and start driving fast insights for intelligent decision making.

How do we address it? In the 30-day deployment, Paradigm Technology enables your cloud business office and enterprise cloud and data architects to deploy a modern data solution. This includes all key core components that support your business outcomes.

Below are key activities that the Paradigm team will implement –

• Kick off workshop and identify key stakeholders
• Conduct whiteboarding sessions and workshops with the identified key stakeholders
• Identify data source and appropriate tables
• Provide Azure data platform total cost of ownership
• Deploy data platform using Azure Data Factory, Azure Data Lake Gen2, Azure Databricks or Azure Synapse Analytics, and Power BI
• Create a high-level project implementation plan with timelines

Assumptions –

• One (1) data source with up to three (3) tables for one (1) domain area
• Up to two (2) reports – One (1) simple and one (1) medium
• Four to six (4-6) visuals per report

Pre-Requisites –

• Required systems access will be provided before engagement start
• Scope finalization
• Appropriate networking components enabled

Deliverables –

• Data platform implementation with modern architecture (.ppt)
• Data platform deployed
• Inventory of remaining data sources and a high-level project implementation road map
• Up to two (2) Power BI reports
• Project close out report

What is the outcome? Paradigm's modern data platform provides several benefits; by consolidating data from a source into a single, unified platform, you will:

• Gain valuable insights into customer behavior, market trends, and operational performance.
• Incorporate advanced analytics and machine learning capabilities, task automation and predictive insights. Investing in a modern data platform is a smart move for any business looking to stay competitive in today's data-driven economy.