Elevate your data initiatives with expert management and guidance
helping you to plan, resource, execute and report like a pro.
At 1749 we fuse our deep expertise in advanced analytics, both linear and frequentist approaches and open-source modeling with unparalleled project experience to guide and consult on innovative data projects from conception to completion.
From directing best-in-class econometric projects to leading in-housing initiatives, you can leverage our expertise to help guide your projects and drive transformational results.
Partner with a team that understands the intricacies of advanced and open-source data projects and bring clarity, efficiency, and innovation to your projects.
Our unique strength lies in our comprehensive understanding of advanced analytics, linear and frequentist approaches and open-source technologies. We navigate complex data landscapes with ease, ensuring your projects leverage the latest innovations for optimal outcomes.
Recognizing the uniqueness of each project, we tailor our project management methodologies to fit your specific needs, challenges, and goals. From setting up data pipelines to deploying machine learning models, we adapt our strategies to serve your project best whether it be leading a best-in-class econometrics project or helping you setup in-house capabilities.
With a strong foundation in managing open-source data projects, we bring agility, flexibility, and a collaborative spirit to your initiatives. Our approach ensures you benefit from the collective wisdom and continuous innovation inherent in the open-source community.
Companies seeking to build or enhance their in-house analytics capabilities, requiring project management for training programs, team structuring, tool selection, and best practices implementation.
Companies seeking to build or enhance their in-house analytics capabilities, requiring project management for training programs, team structuring, tool selection, and best practices implementation.
Clients with multiple data sources looking to integrate or manage their data efficiently. This includes creating unified data warehouses or lakes, ensuring data quality, and enabling seamless access and analysis.
Organizations looking to migrate their data analytics platforms and infrastructure to more scalable, cost-effective solutions, such as open-source software, without disrupting ongoing operations.
Companies aiming to develop or customize open-source analytics platforms to suit their specific needs, requiring expert knowledge in both the technology and the best practices for its implementation and maintenance.
Businesses seeking to leverage generative artificial intelligence (AI) for predictive analytics, customer insights, process automation, and more. They need expertise in model development, training, deployment, and monitoring.
Businesses needing to establish robust data governance frameworks to comply with data protection regulations (such as GDPR, CCPA) while maximizing data's value and accessibility.
Enterprises and research institutions undertaking R&D projects in fields like bioinformatics, financial modeling, or energy forecasting, where advanced analytics and data processing are critical.
Businesses undergoing digital transformation, integrating advanced analytics into their operations, products, and services to drive innovation, improve customer experiences, and optimize processes.
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