Streamline Your Data Strategy

What are compounds?

The principles of database structure and data elements, akin to the periodic table's elements, allow organizations to synthesize 'data compounds' that hold specific meaning and value to their operations. By establishing immutable data definitions drawn from these raw elements, an organization can construct reliable and verifiable assets, ensuring consistency and repeatability in their data reporting. With a blockchain-like approach to data integrity, every 'data compound' is securely recorded, verified, and maintained, ensuring uniformity and accuracy across the entire organization and eliminating the risk of ad-hoc and inconsistent analyses.

How are they related?

Drawing from the analogy of the periodic table, the raw data elements within an organization's database can be interlinked and transformed through mathematical functions, algorithms, or statistical techniques to construct more sophisticated and valuable structures, akin to atoms forming molecules. As integral parts of these compound definitions, the unique interconnections—like chemical bonds—establish the metrics, stabilizing their integrity. These defined relationships and transformations guarantee that the resulting metrics are consistent and reliable, serving as stable references for analysis and decision-making across the organization.

How can they be used?

Upon their establishment, these data compounds can be dynamically retrieved and computed, either in real-time or according to predefined schedules, and then chronicled along historical timelines. This empowers data science teams to conduct temporal analyses and allows for broad access throughout the organization, effectively democratizing the data. By continuously recalculating these values at regular intervals, the system ensures that pertinent data is available at the precise moment it's needed, enhancing decision-making and operational efficiency across the entire organization.