This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Self-Service BI Platform Implementation for Streaming Service

instinctools.com

Media

Data Management & Analytics Challenges

The EU Streaming Service is struggling with slow data processing and reporting, leading to a lack of trust in data quality and hindering timely, informed decision-making. Reliance on IT for report generation is time-consuming (up to several days) and costly, limiting business user autonomy and agility. The current system lacks self-service capabilities, requiring users to wait for IT to generate reports, resulting in bottlenecks and delays in identifying actionable insights.

About the Client

A European-based streaming service provider experiencing rapid data growth and a need for improved data-driven decision-making.

Project Goals

Enable self-service BI capabilities for business users to access and analyze data independently.
Reduce reliance on the IT department for report generation and data analysis.
Improve data quality and consistency through a centralized data warehouse.
Accelerate decision-making processes by providing timely access to relevant insights.
Increase customer satisfaction by empowering users with data-driven tools.

Functional Requirements

Data connectivity to various data sources (databases, data warehouses, etc.)
Data transformation and cleaning capabilities (ETL)
User-friendly interface for dashboard and report creation
Interactive data visualization and analysis tools
Role-based access control and security
Ad-hoc analysis capabilities
Mobile accessibility (tablets, phones)
Data governance and data quality monitoring

Preferred Technologies

Tableau

MySQL

PostgreSQL

Python

ERP Odoo

Required Integrations

Existing data warehouse
CRM system
Marketing automation platform

Non-Functional Requirements

Scalability to accommodate growing data volumes
High performance and responsiveness
Data security and compliance
User-friendly interface (UX/UI)
Reliable data integration and processing

Expected Business Impact

Implementation of the self-service BI platform is expected to significantly improve business agility, reduce IT overhead, and enhance decision-making capabilities. This will result in faster insights, increased operational efficiency, and improved customer satisfaction. We anticipate a reduction in report generation time, freeing up IT resources for more strategic initiatives. The empowerment of business users will drive data-driven culture and improve overall business outcomes.