Enabling Data-Driven Decisions with Looker and BigQuery

Business Opportunity

Unified Data View

The client is one of India’s largest healthcare networks, with over 25 hospitals and 7,600+ beds across multiple cities. Supported by thousands of skilled professionals, it delivers quality care for millions annually, addressing diverse medical needs with advanced facilities. 

They were looking for a near-real-time data analytics solution to overcome limitations in their existing technology stack. They needed a scalable, serverless data warehouse that could support the creation of analytical dashboards powered by up-to-date, accurate data. 

We implemented BigQuery as a scalable data warehouse on Google Cloud, automated data pipelines, and built custom reports and dashboards in Looker to streamline data access, enhance analytics, and improve efficiency across the organization.

The Challenge

Key limitations impacting analytics effectiveness and data governance:

• No Scheduled Reporting: Reports required manual generation, delaying insights.
• Weak Data Security: Previous BI tools lacked proper access controls and safeguards.
• Fragmented Data Sources: Disparate systems made unified analysis difficult.
• Missing Data Warehouse: No centralized platform to support scalable reporting.

Our Solution

We set up BigQuery as a data warehouse in Google Cloud, which offered scalable and efficient storage for the company’s data. An automated data pipeline was created to transfer historical and ongoing data from the company’s CRM system (LeadSquared), which was previously stored in an AWS database, into BigQuery. We also recreated essential reports from the old system to ensure they are updated automatically with fresh data.

The project was broken into phases. In Phase 1, the focus was on getting the data into BigQuery by transferring 9 key data tables, making sure everything ran smoothly. In Phase 2, we created custom reports and dashboards in Looker, including special calculations to track key performance indicators (KPIs) and added features that allowed secure access to data based on user roles. We also set up automated delivery of reports and tools to predict future sales and revenue. 

In Phase 3, the focus shifted to creating performance dashboards that helped evaluate the quality of leads from external agencies and digital campaigns. This phase also included making the data access more flexible, so external vendors could view only the data that was relevant to them. This eliminated the need for report developers to manually create and share multiple reports every day.

Results

• 15 dashboards implemented: Providing comprehensive insights and empowering stakeholders with data-driven decision-making capabilities.
• Time saved with automation: Automation of report generation and delivery significantly reduced manual effort, saving valuable time for report developers and ensuring timely, accurate insights for the team.
• 200+ users with role-based access: Ensuring that each individual or group could only view the data relevant to their role, enhancing data security and compliance.
• Improved data access and collaboration: The centralized data warehouse and automated reporting systems allowed for easier access and collaboration across teams, reducing bottlenecks and ensuring that everyone had access to the latest data.
• Enhanced lead quality insights: The performance dashboards provided a clear view of the quality of leads generated from external agencies and digital ad campaigns, enabling teams to optimize their lead-generation efforts.
• Predictive analytics for sales and revenue: With predictive forecasting capabilities in place, the organization gained the ability to forecast future sales and revenue, helping with more accurate business planning.
• Streamlined vendor reporting: Automated sharing of reports with external vendors and agencies improved efficiency, removing the need for manual report creation and reducing the risk of human error.

Power of Partnership

Niveus brought a wealth of expertise and a collaborative approach to the project, ensuring the successful implementation of the data-driven solution. Niveus worked closely with the team to understand business needs, crafting a customized data warehouse and reporting architecture that perfectly aligned with organizational goals and growth objectives. Leveraging industry-leading tools and best practices, Niveus ensured a smooth and efficient integration of data from the existing CRM (LeadSquared) into Google BigQuery, laying the foundation for future scalability and flexibility.

From building the ETL pipeline to developing interactive dashboards and implementing role-based access control, Niveus oversaw every phase of the implementation, ensuring seamless execution and timely delivery. Niveus provided ongoing support, continuously optimizing the reporting layer and dashboards to ensure that the organization’s analytics infrastructure evolves alongside its needs. Through this partnership, Niveus empowered the organization with a robust, scalable, and efficient data architecture, enabling data-driven decision-making and unlocking new opportunities for growth.

Benefits of Implementing Looker-based Dashboards with Niveus

• Tailored analytics: Niveus customizes Looker’s powerful analytics tools to meet your unique business needs, helping you derive deeper, actionable insights.
• User-friendly dashboards: With Niveus’ expertise, Looker becomes intuitive for all users, enabling easy access to real-time data without technical complexity.
• Enhanced data security: Niveus leverages Looker’s role-based access control, ensuring secure, compliant, and controlled access to sensitive business data.
• Automation of reporting: Niveus streamlines the creation and distribution of automated reports and dashboards, saving time and ensuring accuracy.
• Seamless integration & scalability: Niveus ensures Looker integrates smoothly with existing systems, providing scalable data solutions that grow with your business.