How JEMO Group Created a Data-Informed Culture

How a Chilean manufacturer replaced static reports with real-time dashboards—and built a data-informed culture

Dashboards
Improve Reporting Processes
Make Better Decisions
Management
Manufacturer
Reports
PTJ torres
Meet Juan Carlos
General Manager at JEMO Group

Juan Carlos is the General Manager and co-owner of JEMO Group, a business operating two companies in Chile: one focused on importing and selling industrial electrical products, and the other manufacturing steel poles for lighting, transmission, and CCTV installations. Leading a hands-on management style, Juan Carlos has a deep commitment to operational visibility and precise, data-informed decision-making across his companies.

The Challenge: Cumbersome, Infrequent Reporting

Before implementing Databox, Juan Carlos and his teams relied on labor-intensive, biweekly or monthly reports to understand business performance. These reports consumed significant time, involved manual data gathering from their ERP system, and provided only a static snapshot of operations. Without centralized, real-time visibility, Juan Carlos found himself lacking the granularity needed for timely decision-making. “It was very discreet. You’d get a picture every two weeks or one month. It was also very time-consuming,” he explained.

Internally, this approach led to less effective meetings and slower tactical planning. The lack of up-to-date metrics made it harder to respond quickly to business needs and align teams around shared goals.

Finding a Solution

Juan Carlos discovered Databox while searching online for a Power BI alternative that could integrate seamlessly with Google Sheets. After trying Tableau and Google Data Studio, he found those tools complex and unintuitive. Databox, in contrast, offered a “very intuitive” interface and ease of use that stood out immediately.

“Data without context is useless,” Juan Carlos shared. He wanted something that wasn’t just about dashboards, but about enabling better management and accountability across the company.

Implementing Databox

Rather than centralizing reporting through one or two people, Juan Carlos introduced a culture of micro-reporting. Today, 10–15 team members each contribute one key metric daily into structured Google Sheets. This distributed input allows him to build and monitor dashboards containing 30–35 metrics, including financial, commercial, and operational indicators.

Although the data input is manual, it’s simple and structured. “The key was getting the culture and architecture right for our databases,” Juan Carlos explained. “Once the data is organized, everything flows very smoothly inside Databox.”

From there, he personally builds dashboards like “Daily Performance,” which he reviews every morning. It’s customized to his vision. Not a generic template, but “the way I want to see things.”

The Results: From Static Snapshots to Dynamic Insight

Since adopting Databox, the shift has been transformative:

  • Daily, granular insights: Juan Carlos can now visualize trends over three years, drill into order intake, and monitor delivery performance with ease.
  • Data-informed culture: Team meetings are now tactical and focused. “There’s no room for guessing. The data is there,” he said.
  • Higher productivity: What used to take a day per week in reporting now fuels deeper analysis and strategic planning. “It’s not about saving time, it’s about getting a better ROI on my time.”
  • Improved credibility: When meeting with banks, customers, or the board, the dashboards impress. “They never expect such monitoring, such order, from a company our size.”
  • Stronger decision-making: The reliance on real-time evidence has eliminated assumptions and fostered precision in business strategy.

Juan Carlos’s Advice for Others

“I’ve become a bit of an ambassador for Databox in Chile,” Juan Carlos said. “In our country, productivity is a challenge. Databox is a tool that really helps. I don’t want to listen to stories, I want to see the facts.”

He credits Databox with making advanced data analysis accessible to non-technical leaders like himself. “Databox allowed me, a common person with no knowledge of programming, to make it work.”

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