At Your Data Buddies (YDB), we help organizations make meaningful decisions with their data. Whether it’s crafting a data roadmap, creating dashboards, setting up data systems, or moving to the cloud, we make data simpler and more useful.
We'll work with you to assess your data needs and evaluate how you're currently leveraging data. Our consulting services focus on scalability and cost-effectiveness, ensuring solutions that align with your organization's existing processes while optimizing for future growth.
Understanding key metrics in a clear and user-friendly way is essential. We'll help you identify the right measures to track and build regularly updated visualizations using tools like Tableau and Power BI. Our dashboards ensure you have real-time insights to support data-driven decision-making.
Efficient data pipelines are key to seamless data flow and analysis. We’ll help you design, build, and optimize pipelines that automate data collection, cleaning, and integration. Whether working with SQL, Python, R, or cloud-based tools, we ensure your data is accessible, reliable, and ready for analysis when needed.
Moving to the cloud enables scalability, security, and efficiency. We’ll help you migrate, optimize, and manage your data infrastructure on cloud platforms like AWS and Google Cloud.
Get the right expertise for your data needs—efficient pipelines, accurate insights, and clear visualizations. We turn raw data into real impact.
We adapt to your needs, ensuring a tailored approach that fits your unique data challenges and goals.
With experience working across multiple countries and cultural contexts, we understand the unique challenges of global data.
We support you at every stage, from data collection to actionable insights, ensuring a seamless end-to-end experience.
Our team members have worked with state and federal government agencies in the United States, contributing to research projects, providing data analytics and engineering support, and conducting training on quantitative tools like Python, R, and SQL. Their experience includes developing end-to-end data pipelines for data ingestion, processing, and visualization, with a strong emphasis on security and reliability.
Our team members have extensive experience working with tools like Python, SQL, Amazon Web Services, and GitHub to build and maintain scalable data pipelines that process millions of observations regularly. In their previous roles, they contributed to projects like the City Data Explorer, developing custom data ingestion and processing scripts while ensuring rigorous data validation and scalability.
We're currently developing a data strategy for a medium-sized business in the healthcare industry, helping them understand and unlock the potential of their existing data. Our work involves optimizing inventory and sales data to drive better decision-making. The end goal is a dynamic dashboard that provides both real-time and historical insights across multiple product offerings, enabling smarter business operations.
Our team members have experience in supporting data integration for Randomized Controlled Trials (RCTs). This has involved cleaning and linking large-scale datasets (200,000+ observations) using Stata, building surveys in SurveyCTO, and training 30+ field researchers to ensure high-quality data collection.
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