At BEANS, we transform data fields into land of action. We create efficient and innovative solutions for a better future.
Automatic Reporting
Standardized and timely reports eliminate errors and redundancies due to manual labor.
We create semantic models, and implement sharable reports across your organization, providing a Single Source of Truth that users can trust to guide their decision making.
Connecting to your operations with IoT
With IoT, we empower manufacturers with agile and sustainable solutions. By utilizing the cloud, data analytics, and artificial intelligence, we improve the overall efficiency of equipment and predict machine failures. We install sensors on your production lines to collect real-time data, process it, and generate reports that help you streamline the maintenance of your machinery and reduce downtime in your operations.
At Beans, we equip you with robust infrastructure designed based on your business requirements, planting data seeds in fertile ground to create value.
We work with Microsoft Azure and Google Cloud technologies to store and organize your data securely and scalably, optimizing your operating costs and ensuring agile and reliable access to your insights.
We design actionable reports that will become your single source of truth (SSOT).
Unlocking insights from a high level view to the deepest level of granularity, facilitating root cause analysis and empowering you to make the right changes in your operations.
Our team of specialists in PowerBI and DAX is prepared to develop intuitive and effective reports, and then implement a comprehensive training program for adoption, ensuring that your users integrate these tools into their daily routine.
Digital transformation at BEANS is an evolution towards a domain where each data seed is cultivated to drive decisions that add business value: increasing sales, reducing costs, working capital and optimizing the use of fixed capital.
Jose Angel Urbano
With an excellent track record, leading Unilever's Supply Chain and Manufacturing operations in Cuba and the Caribbean, achieving the highest growth and profitability in the region, Jose Angel Urbano brings his experience from the consumer-packaged goods sector to turn our analytics solutions into concrete and measurable results for the business. Jose Angel is our specialist when it comes to implementing artificial intelligence in forecasting and the Internet of Things to achieve operational excellence. He leads Beans to transform Supply Chain and Manufacturing processes.
Nicholas Woo
Nick Woo is a technological visionary at Beans, bringing his experience as a software engineer at Amazon Canada. Specialized in software development, database management, cloud services, machine learning, and artificial intelligence, Nick is an alumnus of the University of Toronto, graduated in Computer Engineering with a specialization in Artificial Intelligence. His thesis focused on identifying illicit cryptocurrency transactions. At Beans, he leads technological innovation and business strategies, driving the use of advanced technology and data analysis to revolutionize the analytics consulting landscape.
Frank Chen
Frank is a software engineer with extensive experience in developing and operating cloud services and fintech applications.
He stands out for his proven track record in delivering high-impact projects at Google and Amazon, both in product development and technological infrastructure. His ability to collaborate across teams and align objectives with stakeholders' interests positions him as a distinguished professional.
At Beans, Frank reinforces his commitment to delivering innovative solutions and measurable results that drive our clients' success in the digital age.
Matin Nahvi
Matin Nahvi, a data analyst, graduated from California State University in Northridge with a degree in Computer Information Technology and certified in Data Analytics from George Washington University.
He brings extensive experience from his work on Web3 protocols and AI-driven projects, where he has used data to influence strategic decision-making and create compelling visual narratives for his collaborators. Recognized for his competence in Data Analytics and strategic insights, he has actively participated in various Data Science challenges and contributed to Web3 initiatives.
At BEANS, he applies his experience to provide us with a creative vision and advance the strategic objectives of our clients.