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Published on
November 20, 2025
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A leading Brazilian consultancy is fundamentally transforming how they deliver supply chain solutions—moving clients from spreadsheet complexity to confident, data-driven decisions in record time.
The Challenge: When Data Prep Becomes the Bottleneck
7D Analytics, a specialized consulting firm based in Brazil, architects decision-making capabilities that fundamentally change how supply chain organizations operate. With 20 specialized professionals and 15 years of experience, they build optimization models, predictive analytics, and custom decision tools for clients across manufacturing, pharmaceuticals, and emerging industries. Their recent portfolio includes helping an electric vehicle manufacturer map optimal plant locations across multiple continents for a product launching in 2030—the kind of high-stakes, complex modeling that defines their practice.
But even with this deep expertise, Managing Partner Ricardo Taborda dos Reis recognized a pattern across most of their client engagements, regardless of industry or company size: data preparation was consuming 70-80% of project time, leaving scarce hours for the strategic analysis that actually creates value.
Teams were spending too much time in data preparation. Refreshing scenarios meant rebuilding workflows from scratch. Only specialists with deep IT knowledge could build pipelines using traditional ETL tools, creating bottlenecks that slowed everything down. For tactical planning processes like S&OE, clients had no scalable alternative to manually-intensive spreadsheets. Desktop dependencies made distributed collaboration nearly impossible.
"Data is always a problem," Ricardo explains. "Independent of the kind of company, the size of the company—if you're working with a small company or the biggest companies in the world—data is always going to be a challenge."
For 7D Analytics, solving these client challenges meant redefining what their consulting practice could deliver. In a world where executives demand faster answers to more complex questions, the firm that could help clients accelerate from raw data to actionable insights would create competitive advantage—for themselves and their clients.
7D chose DataStar because it fundamentally transforms how consulting engagements deliver lasting value, transforming data preparation from a bottleneck into an accelerator.
Radical Simplification Through AI
Using Leapfrog, DataStar's AI capability, one natural language prompt replaces countless manual actions—a fundamentally different way of working.
"Usually, those tools were I.T. territory... most of the time the people that need that tool are not familiar with IT in general, but they need to clean the data. With Leapfrog, you don't need to know anything about that. What you need to do is tell Leapfrog that you want to create a column in a table, and that data is coming from another table... and then Leapfrog is going to create that action for you."
Built for Business Users, Powered for Experts
"DataStar is going to be a tool for supply chain users, not for IT users. This is a game changer. Even though DataStar is focused on those users, it still doesn't lose the capability of being flexible and robust. If you want, you can run a Python script inside it, you can run a SQL script…and make all the pieces connected to your workflow."
This means 7D can deploy solutions that the clients’ business teams will be able to run independently—while still leveraging advanced capabilities when needed.
Cloud-Native Collaboration at Scale
Workflows are reusable across geographies, teams collaborate in real-time, and version control becomes automatic. Build once, deploy everywhere.
20-30% More Projects Delivered
What used to take weeks of iterative data prep, will now happens in days. This acceleration compounds across the project lifecycle—faster initial insights, faster scenario iterations, faster client feedback loops.
"Definitely, with DataStar we'll be able deliver our projects quicker since the ability to create those workflows will also be quicker than doing it manually step by step.”
The expected result is that 7D can deliver 20 to 30% more modeling projects within the same timeframe and achieve breakthrough results on complex engagements that previously would have been economically prohibitive or initially constrained.
Democratized Capabilities
By lowering technical barriers, DataStar transforms how 7D's clients can maintain solutions post-implementation. Junior analysts can contribute meaningfully to data pipeline development. New hires ramp faster. Client organizations are no longer bottlenecked by a handful of technical specialists.
"DataStar has made a huge difference for us because it's a tool that can be used by people that doesn't know information technology and can process the data without any knowledge of Python or anything else."
This democratization doesn't just improve margins—it changes what's possible in talent development and project staffing for 7D's clients.
Client Self-Sufficiency
The best consulting engagements don't create dependency—they build capability. DataStar enables 7D to deliver solutions that clients can reuse and adapt after consulting projects are delivered.
"We believe that with DataStar we can create solutions that today are not being supported by a tool or are being supported by a tool with some difficulties. With DataStar we can create those solutions to replace Excel for many processes inside the companies."
For tactical planning processes like S&OE, this is transformative. 7D is now building DataStar-powered solutions where planners adjust prioritization rules, capacity constraints, and business logic independently. "With DataStar, we now can implement specific requirements for tactical planning in a very easy way, without IT," Ricardo explains. Business users can modify workflows as requirements change—without opening IT tickets or depending on specialized skillsets held by few people.
Compounded Quality Improvements
For 7D's internal processes, the firm is also building a library of templatized workflows—like Brazil's complex tax calculations—that eliminate errors, create data confidence, and accelerate future projects. "When you have this automated and validated and you can reuse, you know that it's right."
Looking Ahead: Reimagining What Consulting Can Deliver
7D relies on Optilogic because the companies share a vision: the future of supply chain belongs to teams who move from questions to decisions in hours, not weeks. Who democratize analytical capabilities across business users. Who make continuous scenario planning the norm.
"Optilogic is a strategic partner for us because we love to work with them. They are great people; they invest a lot in people and in technology and we believe they have a great future."
7D Analytics isn't just using DataStar to do the same work faster—they're reimagining supply chain data transformation for 2025 and beyond. They're replacing spreadsheet-based planning with business-user-friendly solutions, building industry-specific accelerators that collapse time-to-value from months to weeks, enabling client self-sufficiency where business users handle many scenarios independently, and scaling their practice without additional headcount.
"DataStar is going to be a game changer for us because we are going to have a tool that will help us process all the data that we need to deliver great solutions."
A leading Brazilian consultancy is fundamentally transforming how they deliver supply chain solutions—moving clients from spreadsheet complexity to confident, data-driven decisions in record time.
The Challenge: When Data Prep Becomes the Bottleneck
7D Analytics, a specialized consulting firm based in Brazil, architects decision-making capabilities that fundamentally change how supply chain organizations operate. With 20 specialized professionals and 15 years of experience, they build optimization models, predictive analytics, and custom decision tools for clients across manufacturing, pharmaceuticals, and emerging industries. Their recent portfolio includes helping an electric vehicle manufacturer map optimal plant locations across multiple continents for a product launching in 2030—the kind of high-stakes, complex modeling that defines their practice.
But even with this deep expertise, Managing Partner Ricardo Taborda dos Reis recognized a pattern across most of their client engagements, regardless of industry or company size: data preparation was consuming 70-80% of project time, leaving scarce hours for the strategic analysis that actually creates value.
Teams were spending too much time in data preparation. Refreshing scenarios meant rebuilding workflows from scratch. Only specialists with deep IT knowledge could build pipelines using traditional ETL tools, creating bottlenecks that slowed everything down. For tactical planning processes like S&OE, clients had no scalable alternative to manually-intensive spreadsheets. Desktop dependencies made distributed collaboration nearly impossible.
"Data is always a problem," Ricardo explains. "Independent of the kind of company, the size of the company—if you're working with a small company or the biggest companies in the world—data is always going to be a challenge."
For 7D Analytics, solving these client challenges meant redefining what their consulting practice could deliver. In a world where executives demand faster answers to more complex questions, the firm that could help clients accelerate from raw data to actionable insights would create competitive advantage—for themselves and their clients.
7D chose DataStar because it fundamentally transforms how consulting engagements deliver lasting value, transforming data preparation from a bottleneck into an accelerator.
Radical Simplification Through AI
Using Leapfrog, DataStar's AI capability, one natural language prompt replaces countless manual actions—a fundamentally different way of working.
"Usually, those tools were I.T. territory... most of the time the people that need that tool are not familiar with IT in general, but they need to clean the data. With Leapfrog, you don't need to know anything about that. What you need to do is tell Leapfrog that you want to create a column in a table, and that data is coming from another table... and then Leapfrog is going to create that action for you."
Built for Business Users, Powered for Experts
"DataStar is going to be a tool for supply chain users, not for IT users. This is a game changer. Even though DataStar is focused on those users, it still doesn't lose the capability of being flexible and robust. If you want, you can run a Python script inside it, you can run a SQL script…and make all the pieces connected to your workflow."
This means 7D can deploy solutions that the clients’ business teams will be able to run independently—while still leveraging advanced capabilities when needed.
Cloud-Native Collaboration at Scale
Workflows are reusable across geographies, teams collaborate in real-time, and version control becomes automatic. Build once, deploy everywhere.
20-30% More Projects Delivered
What used to take weeks of iterative data prep, will now happens in days. This acceleration compounds across the project lifecycle—faster initial insights, faster scenario iterations, faster client feedback loops.
"Definitely, with DataStar we'll be able deliver our projects quicker since the ability to create those workflows will also be quicker than doing it manually step by step.”
The expected result is that 7D can deliver 20 to 30% more modeling projects within the same timeframe and achieve breakthrough results on complex engagements that previously would have been economically prohibitive or initially constrained.
Democratized Capabilities
By lowering technical barriers, DataStar transforms how 7D's clients can maintain solutions post-implementation. Junior analysts can contribute meaningfully to data pipeline development. New hires ramp faster. Client organizations are no longer bottlenecked by a handful of technical specialists.
"DataStar has made a huge difference for us because it's a tool that can be used by people that doesn't know information technology and can process the data without any knowledge of Python or anything else."
This democratization doesn't just improve margins—it changes what's possible in talent development and project staffing for 7D's clients.
Client Self-Sufficiency
The best consulting engagements don't create dependency—they build capability. DataStar enables 7D to deliver solutions that clients can reuse and adapt after consulting projects are delivered.
"We believe that with DataStar we can create solutions that today are not being supported by a tool or are being supported by a tool with some difficulties. With DataStar we can create those solutions to replace Excel for many processes inside the companies."
For tactical planning processes like S&OE, this is transformative. 7D is now building DataStar-powered solutions where planners adjust prioritization rules, capacity constraints, and business logic independently. "With DataStar, we now can implement specific requirements for tactical planning in a very easy way, without IT," Ricardo explains. Business users can modify workflows as requirements change—without opening IT tickets or depending on specialized skillsets held by few people.
Compounded Quality Improvements
For 7D's internal processes, the firm is also building a library of templatized workflows—like Brazil's complex tax calculations—that eliminate errors, create data confidence, and accelerate future projects. "When you have this automated and validated and you can reuse, you know that it's right."
Looking Ahead: Reimagining What Consulting Can Deliver
7D relies on Optilogic because the companies share a vision: the future of supply chain belongs to teams who move from questions to decisions in hours, not weeks. Who democratize analytical capabilities across business users. Who make continuous scenario planning the norm.
"Optilogic is a strategic partner for us because we love to work with them. They are great people; they invest a lot in people and in technology and we believe they have a great future."
7D Analytics isn't just using DataStar to do the same work faster—they're reimagining supply chain data transformation for 2025 and beyond. They're replacing spreadsheet-based planning with business-user-friendly solutions, building industry-specific accelerators that collapse time-to-value from months to weeks, enabling client self-sufficiency where business users handle many scenarios independently, and scaling their practice without additional headcount.
"DataStar is going to be a game changer for us because we are going to have a tool that will help us process all the data that we need to deliver great solutions."
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