Relanto Enhances Data Quality and Real-Time KPI Reporting for Leading Hi-Tech Firm with Advanced BI Tools
Summary:
A leading hi-tech client faced challenges with KPI quality, accuracy, and timeliness in their BI system, and long turnaround times for new reports due to overreliance on IT. They sought a strategic partner to transform their BI approach by implementing a robust data pipeline, establishing a single source of truth (SSOT), enhancing data quality and transparency, tracking data lineage, and developing a self-service BI solution to reduce IT dependency.
Challenges:
Data Quality Concerns
Fragmented data sources, limited governance, and insufficient visibility into data lineage.
Reporting Delays
Time-intensive Business–IT collaboration for interactive dashboards due to IT dependency and lack of reusability.
KPI Discrepancies
Noticeable differences between business-driven KPIs and the insights reported, causing a gap between expected and actual BI dashboard outcomes.
Technology and Process Inefficiencies
Insufficient focus on adopting new cloud data services and BI tools, along with a lack of an agile framework for efficient solution delivery.
Objectives:
- Primary Goal: Enhance data quality and reporting efficiency.
- Secondary Goal: Reduce IT dependency and accelerate technology adoption.
Suggested Solution:
Relanto transformed the client's BI operations by deploying a comprehensive cloud-based data pipeline and advanced BI tools to address their challenges. We implemented a robust cloud infrastructure using AWS S3, Data Glue, Data Brew, and Redshift to streamline data management and improve reporting efficiency. This setup enabled real-time reporting of business KPIs and enhanced self-service BI capabilities through Tableau.
Our approach included improving data quality with AWS Data Glue and Data Brew, ensuring accurate and reliable data for reporting. We established a Single Source of Truth (SSOT) in Redshift by integrating various data sources, which significantly increased trust in the data. To further empower business users, we leveraged Tableau's advanced features, including Natural Language Query (NLQ), allowing them to generate reports independently without relying on IT. We also implemented a data catalog to track data lineage and ensure traceability. Additionally, we streamlined data governance, providing a comprehensive view of data assets and their lineage. Our implementation of an Agile BI methodology facilitated faster and more efficient solution delivery, aligning with the client's needs and enhancing overall BI effectiveness.
Outcome:
- Improved Data Quality and Governance: Enhanced data quality and established robust governance practices. Implemented rigorous data validation processes to ensure accuracy and reliability across all datasets.
- Real-Time Reporting on Business KPIs: Enabled real-time reporting for business KPIs. Facilitated immediate access to critical performance metrics for swift and informed decision-making.
- Enhanced Self-Service BI Capabilities: Leveraged advanced features in Tableau for improved self-service BI. Empowered users to create and customize their own reports, leading to greater analytical independence and efficiency.
- Transparency and Compliance: Enabled detailed data lineage tracking for transparency and compliance. Ensured full visibility into data origins and transformations to meet regulatory requirements and audit standards.
