
Modern Data
Platform
Trusted by leading companies to design, build, and manage data-driven solutions.
Data Strategy
Data Engineering
Data Governance
Data Quality
BI & Data Analytics
Data Science
Data Sharing
Data Apps
Data Strategy & Architecture
It’s time to refresh your approach, patterns, and skills. Outside-in thinking from CYFRTEK can deliver a cutting-edge perspective and guide you to what’s next.
Data Engineering
High-speed, high-quality data drives insights and innovation. At the core of every data-driven organization lies modern data engineering. This means automated, tested, and documented pipelines that land data, transform it, and fuel growth.
Data Governance
Modern data governance can improve the quality of your analytics and ease of access through better data literacy and collaboration. Data governance is an approach, policy, and technology. If you have slow analytics, duplicate efforts, and data that doesn’t align, your governance could be in need of an update. CYFRTEK helps you address governance holistically.
Data Quality
The field of data quality is experiencing rapid innovation. Data quality is a process that includes automated testing and observability. CYFRTEK helps organizations embed data quality into their engineering efforts.
BI & Data Analytics
Two decades of efforts to extract data’s value have stacked up, leaving ‘data sprawl’. Find out about this problem in our research report. If you experience conflicting or missing data, slow reporting, or if the cost of analytics is scaling out of control, CYFRTEK can help.
Data Science
Data science capabilities, like machine learning, can drive incredible value for organizations. Our clients are working to scale their machine learning efforts by automating pipelines and data prep and adopting MLOps processes.
Data Sharing
The ability to securely share data with vendors and partners is changing data analytics forever. Gone are the days of FTP and sending data files which are difficult to control and quickly become stale.
Data Apps
As companies continue their app modernization journey, they face a rapidly increasing need for rich data apps. More data, embedded analytics, and machine learning are driving new requirements and new design patterns in this field.