Infrastructure for Advanced Power BI

$20,000.00 – $35,000.00

Infrastructure for Power BI Reporting involves setting up a robust environment to facilitate efficient data analysis and visualization. This includes configuring development, testing, and production environments, ensuring necessary hardware and software resources, and establishing secure user access controls. Data from various sources is integrated through ETL processes, with data quality and security assessments conducted. The infrastructure supports the creation, deployment, and management of Power BI reports and dashboards, providing a scalable and secure platform for actionable business insights. This setup is crucial for seamless data integration, processing, and visualization, enabling informed decision-making across the organization.

Weeks & Data sources

Dashboards & Reports

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SKU: LICOINPB001 Category: Infrastructure Tags: CoPilot, Data Factory, Power BI

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Project Scope

1. Project Initiation

Kickoff Meeting: Establish project goals, deliverables, and timelines with stakeholders.
Requirement Gathering: Conduct detailed discussions with key stakeholders to understand the business requirements, reporting needs, and data sources.
Feasibility Analysis: Assess the technical feasibility of the project based on the requirements and available infrastructure.

2. Data Source Identification and Assessment

Data Inventory: Identify all relevant data sources, including databases, cloud services, and third-party applications.
Data Quality Assessment: Evaluate the quality, completeness, and accuracy of data from each source.
Data Security: Review security protocols and compliance requirements for handling sensitive data.

3. Infrastructure Setup

Environment Setup: Configure development, testing, and production environments for Power BI.
Hardware and Software Configuration: Ensure that the necessary hardware, software, and network resources are available and configured correctly.
User Access Management: Define user roles and permissions to ensure secure access to Power BI reports and dashboards.

4. Data Integration and ETL Processes

ETL Design: Design ETL (Extract, Transform, Load) processes to consolidate data from various sources into a central data warehouse or data mart.
Data Modeling: Create logical and physical data models to support efficient data storage and retrieval.
Data Transformation: Implement data cleansing, transformation, and enrichment processes to prepare data for reporting.

5. Power BI Development

Report and Dashboard Design: Design and develop Power BI reports and dashboards based on user requirements.
Data Visualization: Apply best practices for data visualization to ensure clarity, usability, and insights.
Custom Development: Develop custom visuals, DAX (Data Analysis Expressions) calculations, and other customizations as needed.

6. Testing and Validation

Unit Testing: Test individual components of the Power BI solution to ensure they function correctly.
Integration Testing: Validate the integration of all components and data sources.
User Acceptance Testing (UAT): Conduct UAT sessions with end-users to ensure the solution meets their requirements and expectations.

7. Deployment and Rollout

Production Deployment: Deploy the Power BI solution to the production environment.
User Training: Provide training sessions for end-users to help them effectively use Power BI reports and dashboards.
Documentation: Create comprehensive documentation, including user guides, technical documentation, and support materials.

8. Post-Implementation Support

Monitoring and Maintenance: Monitor the performance of the Power BI solution and address any issues that arise.
User Support: Provide ongoing support to users, including troubleshooting and addressing feedback.
Continuous Improvement: Gather user feedback and make iterative improvements to the Power BI solution.

Deliverables

Setup and Configuration

Power BI Service Configuration: Setting up the Power BI service environment, ensuring optimal performance and security.
Data Source Connection: Connecting to multiple data sources, including databases, APIs, and cloud services.
Dashboard and Report Creation: Development of dashboards and reports with interactive elements and custom visuals.

Data Integration

Data Source Mapping: Documentation and setup of data source connections, ensuring data accuracy and consistency.
Data Transformation: Applying necessary transformations to data for meaningful analysis and reporting.
Data Warehouse Integration: Integrating Power BI with existing data warehouses for comprehensive reporting.

Advanced Analytics and Custom Solutions

Advanced Analytics: Incorporating advanced analytics and AI features into dashboards, including predictive analytics and machine learning models.
Custom Visuals and Reports: Development of highly customized dashboards and reports tailored to specific business needs.

User Training and Support

Training Sessions: Conducting training sessions for key users on dashboard creation, usage, and best practices.
User Manuals: Providing detailed user manuals and guides for end-users to navigate and utilize the dashboards effectively.
Ongoing Support: Offering support for troubleshooting, optimization, and enhancements post-implementation.

Documentation

Configuration Guide: Comprehensive documentation detailing the configuration steps of the Power BI service environment.
Data Integration Documentation: Detailed mapping and transformation steps for data sources, ensuring transparency and reproducibility.
Technical Documentation: Technical manuals for IT teams on managing, scaling, and maintaining the Power BI environment.
End-User Manuals: Step-by-step guides for end-users on how to navigate and utilize the dashboards and reports.

Governance and Best Practices

Governance Framework: Establishing a governance framework for managing access, security, and data integrity within Power BI.
Best Practices Guide: Documentation of best practices for dashboard creation, data integration, and maintenance to ensure consistency and high-quality outputs.