

70%
internal adoption in just 4 months
10,000+
new visualizations per month
99%
of queries return in under 1 second
About
Midas Pharma is a global pharmaceutical company offering products and services along the entire pharmaceutical value chain—from Starting Materials and Active Pharmaceutical Ingredients to market-ready Finished Products and Devices. With teams across Europe, the US, and Asia, the business depends heavily on data to make informed, timely decisions at scale.
Industry
Pharmaceutical
Modern data stack


Before ThoughtSpot, Midas Pharma relied on static reports and Microsoft Excel tables. As the business scaled, they faced growing challenges with insight delivery. Users across departments often lacked direct access to the data they needed, and tedious, manual workarounds became the only way to perform the necessary data analyses. Time-to-insight was slow, and much of the company’s valuable data remained underutilized.
The tipping point came with an upcoming Enterprise Resource Planning (ERP) system migration. Rather than rebuild reporting workflows in legacy tools, Midas seized the opportunity to modernize its data stack and analytics capabilities—aiming for speed, scalability, and self-service access for every team.

The platform’s natural language search and intuitive interface made it possible for users to explore data independently, freeing up the data team to focus on value-added work and data quality rather than repetitive reporting tasks.
The Midas team first implemented a cloud data warehouse with Snowflake. To empower business users with self-service insights, they selected ThoughtSpot after a focused proof of concept. The Agentic Analytics Platform’s intuitive search experience, low technical barrier, and ability to scale across departments made it the clear choice.
A lean data team of three was able to get ThoughtSpot up and running quickly. The technical setup took only a few weeks, allowing the team to focus on what mattered most: onboarding, enablement, and helping users start exploring their own data.

The shift has been nothing short of transformative. In just four months, Midas brought 72% of its initial user base onto ThoughtSpot, reaching teams across 11 of 29 departments and 5 of 11 global affiliates. Previously, teams relied on Excel exports and siloed tools. But now, real-time insights are accessible across continents and business functions, including Sales, Marketing, Business Development, and newly launched healthcare teams.
Monthly engagement has remained strong, with over 60% users returning consistently, even as use cases evolve by season. What’s even more telling is that business users themselves have created over 50 new Liveboards, compared to the initial 10 built by the data team. That shift reflects not just adoption, but cultural change—a move away from dependency and toward data ownership and literacy.

Performance has also seen a massive leap forward. With 10,000+ visualizations generated monthly, 99% of all queries now return in under 1 second, and Liveboards typically load in five seconds or less, enabling real-time data exploration that was previously impossible.
ThoughtSpot’s Spotter feature has further accelerated adoption by demystifying AI-powered querying. For many users, it has provided an approachable entry point into working with data, using natural language and visible logic to guide the experience.
By showing exactly how each query is translated—with keywords and filters that users can inspect and adjust—it has helped Midas Pharma teams understand how the answer is generated. As a result, there’s greater transparency and a much lower risk of AI hallucination or misunderstanding.
ThoughtSpot has saved users an average of three to four hours per week by eliminating repetitive workflows. For example, a sales analyst who once had to request and manipulate Excel files to compare market performance can now complete the same analysis in two clicks. But more importantly, users are going beyond what was possible in the past, identifying new patterns, asking better questions, and driving business outcomes independently.
Midas is now focused on deepening its use of ThoughtSpot across the organization. The team plans to scale to 250 employees by the end of 2025, while also introducing new data modules each quarter to expand access to ERP and external data sources.
With each use case rollout, the business is moving closer to phasing out legacy tools like Tableau and QlikView entirely, consolidating analytics into a single, scalable, AI-powered platform.

Beyond the technology, Midas is building a true data community. Employees are not only using data but also helping one another explore, learn, and solve problems in new ways. From self-service insights to real-time decision-making, data is no longer locked away; it's in every user’s hands.