tegy & Planning Service
Our track record of success and years of experience can help your team formulate and articulate a data strategy from use case definition to technology planning to data governance. You can lean on our expert and vendor-neutral advice–along with our proven cloud analytics readiness assessment–to select the right technology stack for your analytics use cases and goals.
erprise Data Platforms
You need to aggregate and integrate data from a constellation of sources, along with enabling machine learning and AI to serve a range of analytics users from data scientists to C-level executives. Our 20-plus years of data experience, combined with proven methodologies and best practices, means we’ll build you a platform that covers the full analytics lifecycle–from ingestion, to integration, processing, and consumption.
a Warehouse Migrations
Migrating your data warehouse to a cloud-native data platform with full multi-source data ingestion and integration is never easy–unless you do it with Python. Whether you’re moving from an on-prem system to the cloud, or from one cloud to another, our expertise and time-tested methodologies will guide you as smooth and as fast as possible through what can sometimes be a challenging transition.
a Lake Migrations
Data lakes enabled are amazing for generating business value from large volumes of unstructured or semi-structured data, but can be limiting in on-premises systems like Hadoop. Let Python open up a new frontier of analytics within the data lake through cloud-based big data processing, machine learning, real-time and clickstream analytics and more.
anced Data Services
Top data expertise is hard to find–and even harder to retain. Make use of our roster of advanced experts in data science, data modeling, data visualization and other analytics disciplines. Python's data architects and engineers, data modelers, big data experts, and report and visualization developers are available for one-time project consulting or ongoing engagements.
a Science & Machine Learning
Python’s machine learning experts, AI experts, and data scientists take an entrepreneurial approach to every data science project. We combine cutting-edge techniques with a repository of tried-and-true methods to identify business needs, devise solutions, and execute AI/ML projects that provide real and ongoing value for your business.