Data Analytics & BI Services

Customer success story

Openforce enhanced decision-making with automated reporting

Openforce

Centralized analytics slashed reporting turnaround by weeks.

Pythian engineered a scalable AWS, Snowflake, and Power BI data architecture to unify disparate SQL Server databases.

As exponential growth outpaced their legacy data infrastructure, Openforce faced severe reporting bottlenecks across isolated SQL Server environments that required extensive engineering intervention. To solve this, Pythian deployed automated AWS Glue ELT pipelines and a centralized Snowflake data warehouse integrated directly with Power BI dashboards. The automated data delivery eliminated manual reporting overhead, allowing team members to execute data requests in minutes rather than weeks and deliver critical business insights for client strategy.

Just want to say a huge thank you to everyone who worked so hard on this project. The value of having access to this data is absolutely huge, not just for the time it saves but for the larger business level insights we can get from it. Thank you so much!”
Amy Long

Vice President of Sales at Openforce

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Openforce surpassed legacy SQL Server database capacity, creating severe data fragmentation and reporting bottlenecks.

Pythian unified isolated data environments into a high-performance cloud data warehouse to automate analytics and restore operational agility.

Delivering reports across our disparate data sources can sometimes result in data inconsistencies resulting in unacceptable turnaround times. We need a solution to provide consistent and timely business insights to our team members as well as our customers."
Jared Allen

CTO / CISO, Openforce

DATA FRAGMENTATION

Disparate databases blocked unified reporting

Disparate data repositories created inconsistent business metrics and prevented leadership from accessing timely operational insights.

HIGH MANUAL OVERHEAD

Manual extraction drained engineering capacity

Generating quarterly business reports required tedious manual data manipulation and ticket-based workflows that delayed critical business decisions.

REPORTING DELAYS

Slow turnaround stalled client strategy

Protracted delays on client requests forced teams to wait weeks for engineering tickets, threatening client trust, and stalling service delivery.

LIMITED PREDICTIVE INSIGHTS

Siloed metrics hampered retention strategies

Lacking centralized analytics, team members could not leverage past data trends to optimize pricing structures and contractor workflows.

Pythian designed scalable cloud data warehouse foundations.

Pythian evaluated existing systems, defined key metrics, and designed a star schema dimensional model tailored to Openforce's operational requirements. Continued reliance on AWS Cloud ensured high scalability, while Snowflake was selected as the enterprise platform for rapid, cost-effective data warehousing. 

The analytics team automated data transformation and pipeline ingestion.

Using AWS Glue and Snowflake, Pythian’s Data Analytics Consultants built robust ELT pipelines that seamlessly ingest, transform, and organize data from multiple SQL Server databases. This automated orchestration eliminated engineering reliance and reduced query turnaround times from weeks to minutes.

Pythian deployed interactive Power BI analytics dashboards.

Pythian developed intuitive Power BI reports to deliver real-time operational visibility directly to business stakeholders and clients. The centralized reporting environment enabled rapid self-service analytics for strategic decisions and quarterly reviews. 

The delivery team executed rigorous testing and smooth user adoption.

Pythian conducted extensive user acceptance testing and team training to ensure maximum system reliability and immediate user adoption. The new infrastructure provided actionable insights, boosted customer satisfaction, and established a sustainable competitive advantage.

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