About Us

We capture the Untapped Value of Your Data

The Beginning: The formation of the team started in 2017 when facing the challenge of inconsistent, siloed, and untrustworthy data management throughout the finance operations of Laureate Education – a global network of approximately 70 universities.

The Development: During a 3-year journey, the team tried out a wide variety of supposedly cutting-edge tools. Through trial and error, a proven toolset was assembled. Several hidden gems were discovered, while other tools – sometimes highly acclaimed – were discarded. In addition, and through hard lessons learned, a robust and scalable operating model emerged. At the peak of deployment was considered a groundbreaking success.

The Spin-Off: In February 2020, Laureate Education announced the sale of assets. This rendered the solution useless, but it did not diminish its value. Seizing the opportunity, the team founded Stratify with the vision to help companies capture the untapped value of their data.

Data Warehouse 100% 100%
Data Governance 100% 100%
Data Extraction (ETL, ELT) 100% 100%
Data Visualization (Reporting & Dashboards) 100% 100%
Robotics (RPA) 100% 100%
Big Data & Data Science 100% 100%
(I)IoT 100% 100%

The Validation: During the first months, the team focused on offering their services to large enterprises and gaines interesting and valuable insights. Check out the video if you want to learn more about it!

The Evolution: Continuously, the team developed a convenient, low-cost ‘pay-as-you-go’ service offering for small and medium-sized companies. the service turned out an immediate success.

Today: The team is serving multiple clients in different industries. Based on the robust backbone of their solutoin, additional functionalities have been added, such as IIoT and cloud services based on AWS, Azure and GCP solutions. Stay tuned for more!

Our Team

Albert Fabritius

Founder

Albert combines years of management consulting experience in Europe, LATAM, and the US with line positions in Finance, Business Transformation, and IT.

Miguel Cintolesi

(I)IoT Partner

Miguel is a veteran in mechanical and electrical R&D and engineering with a strong background in areas such as patent management, production line design and IIoT solutions.

Diego Arenas

Advisory Board Member

Diego is a research engineer and upcoming EngD. graduate at the renowned School of Computer Science of the University of St Andrews in the UK.

Agustín Llaña

Data Engineering

Agustin is specialized in data engineering and in cloud based IoT solutions.

Jesús Reyes

Data Engineering

Jesus is specialized in data engineering, with a strong foundation in data modelling and solution architectures.

Daniela Ortiz

Trainee Comercial

Daniela is participating in and coordinating activities related to branding, online marketing, prospecting and sales.

Elias Ocque

Trainee Data Engineering / Science

Elias is participating in data engineering projects, taking on challenges related to data warehousing, ETLs/ELTs, and machine learning/AI related projects.

Nicolás Castillo

Trainee Data Engineering/IoT

Nicolas is participating in client data management proyects and is part of the IoT Development team.

Carlos Calfio

Manager

Carlos is an MIT-certified data scientist with experience in finance, sales, and marketing expertise in LATAM and in the US.

Sebastian Vergara

Senior Data Engineer

Sebastian specializes in data extraction and integration, with a strong background in ETL/ELT, RPA, and DataWarehouse solutions.

This could be you!

Interested in a career in data management? Don’t be shy and let us know. We would be happy to discuss the opportunity with you!

Contact

E-mail

albert.fabritius@stratify.cl

Schedule

Albert Fabritius

Albert combines years of management consulting experience with Deloitte, Booz & Company, and Falcon Management Partners in Germany and Chile, with line position experience in Strategic Planning and Finance Management with Coca-Cola Andina and Laureate in Chile and USA. His diverse background allows him to guide organizations from complex problems over efficient diagnostics to feasible solution design up to tangible results. His knack for data management originates in his belief that tangible, measurable results are the universal language of for-profit organizations.

Albert holds a BA from the University of Applied Sciences of Nürtingen and an MBA from Pontificia Universidad Católica de Chile.

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Miguel Cintolesi

Miguel started his professional career focusing on matters of Industrial Property. He managed all aspects of utility and design patents, including technology evaluation, preparation, prosecution and enforcement of patents, in the fields of electricity, electronics and mechanics. He then expanded his practice to designing and implementing custom-made solutions in those fieldes, for clientes in the manufacturing, logistics, mining, and retail industry. His curren focus is on (I)IOT, covering mechanical and electronic aspects of custom-made solutions.

Miguel holds a degree in Mechanical Engineering from Universidad de Chile and a Master of Business Administration from Universidad Católica, he also has been trained in process control and automation in both Universidad de Chile and Universidad Católica.

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Diego Arenas

Diego is a research engineer and upcoming EngD. graduate at the renowned School of Computer Science of the University of St Andrews in the UK. His field of study is the intersection of data science and data engineering. His research is focused on the cutting edge of advanced analytics, in the fields of Business Intelligence, Data Warehousing, and Machine Learning. Currently, Diego is researching a solution for automated, exploratory data analysis predicting maintenance requirements of power generators.

Diego's passion is the fusion of cutting-edge science with real-world applications.

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Agustín Llaña

Agustin is specialized in data engineering and in cloud based IoT solutions. His focus is on the resolution of complex client requirements, combining sensor and remote-controlled solutions with complex data transformation and visualization requirements. His passion is the end-to-end optimization and automation of use cases, from data extraction to the final decision making processes.

Agustín is holding a Bachelor’s Degree in Computer Science (BA) from the DuocUC.

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Jesús Reyes

Jesus is specialized in data engineering, with a strong foundation in data modelling and solution architectures. His focus is on the resolution of complex client requirements, building data value chains around multi-dimensional business logics. His passion is the optimization and automation of use cases.

Jesus is holding a Bachelor’s Degree in Computer Science (BA) from the DuocUC.

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Daniela Ortiz

Daniela holds a degree in Business Administration (BA) from the University of Talca. She recently joined the team after finishing an internship in which she gained experience in the day to day challenges of Stratify. She quickly got drawn to the opportunities related to the marketing and sales activities. Her current focus is to integrate and elevate branding and online marketing with prospecting and sales efforts.

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Elias Ocque

Elias is participating in data engineering projects, taking on challenges related to data warehousing, ETLs/ELTs, and machine learning/AI related projects. His specialty is the resolution of complex big data use cases, leveraging cutting edge tools and languages, such as Python, SQL, and others.

Elias is aspiring a Bachelor’s Degree in Computer Science (BA) from the University of Talca in Chile.

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Nicolas Castillo

Nicolas is participating in data engineering projects, taking on challenges related to data warehousing, ETLs/ELTs, and low-code/no-code solutions. In addition, he is involved in R&D related to IoT solutions.

Nicolas is aspiring a Bachelor’s Degree in Computer Science (BA) from the University of Talca in Chile.

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Carlos Calfio

Carlos is an MIT certified Data Analytics Professional with over 7 years of experience in getting the most out of financial data. He is well versed in cutting edge applications such as Tableau, PowerBI or Qlik, with an excellent understanding of SQL and Python. Throughout his career in Chile and in the US he has managed to acquire deep know how in finance operation. This experience has allowed him to skillfully extract, transform, combine, and visualize data until hidden truths become visible – most often to the delight of senior executives looking for insights and answers.

Carlos holds a BA in Business Administration from the University Andres Bello, Chile, and is an MIT certified Data Analytics Professional.

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Sebastian Vergara

Sebastián has three years of experience in which he expanded his skills in several aspects of data management. He started out as an analyst, using standard tools and methods to handle day-to-day reports and analysis. After discovering the power of advanced visualization tools, he quickly got immersed in concepts such as data warehouses, ETLs/ELTs, RPAs, and low-code/no-code solutions. Currently, he is pursuing the possibilities of IoT data and advanced data science solutions.

Sebastián is an Industrial Engineer from the University of Santiago de Chile.

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Get in Touch

Feel free to drop us a line below

Contact Info



+56 9 5755 6470



albert.fabritius@stratify.cl julian.alveal@stratify.cl

Data Transformation

Challenge:

Inbound electronic invoices provided in a semi-structured file format. Transformation into a useable format for finance operations requiring one full-time analyst to manually cleanse and prepare data on a daily basis.

Approach:

Identified transformation requirements and options. Selected adequate toolset to meet requirements. Designed and implemented a fully automated data transformation logic. Established support and maintenance structure for the solution.

Result:

Analyst freed up from manual data transformation. The new solution requires one hour of maintenance per week. Cloud-based licensing costs under USD 100 per month. Manual processing errors eliminated.

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Data Warehousing

Challenge:

Functional areas with local, and mostly file-based data storage. Data sharing through shared folders or emails create redundancies, inconsistencies, and multiple sources of truth. Analysts invest a significant amount of time in data reconciliation. Executive decision making is rarely backed by conclusive data.

Approach:

Implementation of cloud-based Enterprise Data Warehouse. Role-based security model established, including administrative procedures and policies. In-house support model added to address skill requirements and ensure useability and sustainability.

Result:

Established a single source of truth. Increased the quality and timely availability of data increased. Cross-functional collaboration and data-driven decision making enhanced.

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Dashboarding

Challenge:

Management with fragmented, incomplete, and untimely views on key performance indicators. Multiple reports with inconsistent data and without drill-down options used.

Approach:

Created a customized dashboard based on a single, trusted data source. Optimized data extraction and data blending. Enabled self-service reporting functionality. Re-designed reporting processes and structure. Trained stakeholders in required skills and capabilities.

Result:

Vastly enhanced KPI visibility for the Management. Decreased data extraction and preparation efforts by over 80%. Decreased response time of KPI drill-downs from days to minutes.

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About Us

Our Team

Albert Fabritius

Miguel Cintolesi

Diego Arenas

Agustín Llaña

Jesús Reyes

Daniela Ortiz

Elias Ocque

Trainee Data Engineering / Science

Nicolás Castillo

Carlos Calfio

Sebastian Vergara

This could be you!

Contact

Whatsapp

E-mail

Schedule

Get in Touch

Contact Info

+56 9 5755 6470

albert.fabritius@stratify.cl julian.alveal@stratify.cl

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