Discover Needs, Objectives & Usage
First and foremost, any good data strategy needs to align with the organization's overall business needs and objectives. Gaining a deep understanding of the data ecosystem and discovering what the business aims to achieve is the compass that guides every decision in the process.
Analyze Data Quality, Systems & Processes
Data quality is paramount to gaining the right insights. No one understands this better than our data teams who work to fully analyze and document all data streams, systems, and the processes that drive them. We develop a streamlined plan that ensures 100% data quality and informs the overall data warehousing strategy.
Define Data Strategy & Governance
With business goals and complete data analysis in hand, our data leaders can develop a modern data strategy tailored fit to your organization's needs. From ingestion to storage, quality to security, we'll define and architect a strategy to create the foundation to solve for today and scale for future growth.
Integrate Data Sources
Integrating multiple data sources in modern data warehouse architecture is vital to creating a single, comprehensive hub. Our solutions converge all data sources together into a unified and centralized repository, making them ready for storage and available to other services including reporting, analytics, and AI/ML.
Develop Storage & Management
Working closely with your IT and business teams, we’ll define a flexible and scalable data storage solution that aligns with all goals, whether it's a data warehouse, data lake, or a combination of both. Our data experts prioritize data quality, security, and governance practices to ensure data accuracy, compliance, readiness, and availability.
Transform Data (ETL)
Our approach to modern data transformation (ETL -Extract, Transform, Load) is rooted in efficiency, flexibility, and data quality. We start by selecting, or developing, ETL tools that align with your specific needs, ready to handle diverse data sources and formats. Finally, our data transformation experts automate your ETL workflows for ongoing integration, ensuring that quality data is always readily available.
Ensure Security & Access Control
Modern data security and access control hinges on proactive measures. First, we identify and classify your data assets and implement strong encryption, authentication, and authorization mechanisms to safeguard data in all its states. Our security experts regularly audit and monitor data access, setting up alerts for any suspicious activity, fine-tune access controls, educate your team about security best practices, and encourage a culture of vigilance.
Define Data Catalog & Documentation
We start by capturing comprehensive metadata about the data stored, including data definitions, lineage, and contextual information. Our teams implement an intuitive interface for easy data discovery and ensure the catalog is regularly updated to reflect changes in the data landscape. Through transparency, accessibility, and data governance, our data teams create a well-defined catalog to effectively manage data.
Configure Analytics & Reporting
We take a strategic approach to reporting defining clear objectives and the specific metrics and KPIs critical to your organization. We work closely with you to select the analytics and reporting tools that align with your goals, ensuring they integrate seamlessly. Our analysts design a data model that optimizes query performance and scalability and regularly monitor and fine-tune your reporting processes for efficiency and accuracy.
Ongoing Monitoring & Optimization
Business is always evolving and data growing. Our teams set up regular checks to detect anomalies or issues in data ingestion, processing, and access. Implementing automated data validation and quality checks at different stages, our data and systems specialists ensure the integrity and efficiency of your data. We proactively address any issues, ensure data accuracy, and keep all systems running smoothly.