Proof

Case Studies

Two examples of what practical technology work can change: owner time recovered from a frustrating process and a critical data flow redesigned for scale.

Painting & Vino Tucson

A Persistent Operational Problem Resolved in Two Days

Outcome Resolved in two days

After the owner had spent almost a year searching for a workable solution.

  1. Challenge

    For almost a year, the owner had been trying to solve a technology problem that was consuming time, energy, and attention. Online research had not produced a satisfactory solution, and the unresolved issue continued to make day-to-day operations harder than they needed to be.

  2. Work

    We reviewed the issue, defined a clear scope, and implemented the fix in two days. The solution was researched and customized around the way the business actually operated, with several follow-ups after launch to confirm the system was working correctly.

  3. Result

    The fix returned hours to the owner and made the business run more smoothly. It reduced an ongoing drain on time, money, and energy while replacing a frustrating recurring problem with a dependable operating process.

Ekos Software

A 24-Hour Data Sync Moved to Near Real-Time

Outcome 24+ hours to near real-time

With ongoing support for the pipeline, database performance, reporting, and data workflows.

  1. Challenge

    During a period of rapid growth, scalability had become a pressing concern. A data synchronization process took more than 24 hours to complete, creating a serious constraint for the team and the customers who depended on timely, reliable data.

  2. Work

    We designed and implemented a Kafka-based pipeline, then continued to maintain, upgrade, and support it. The relationship expanded to include database performance troubleshooting, customer-facing technical support, analytics and reporting processes, and data import/export workflows.

  3. Result

    The data sync moved from more than 24 hours to a near real-time event. The work also gave Ekos an embedded technical partner who could support the system over time and contribute across a wider range of data and development priorities.

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