Extract, Transform, and Load software costs companies millions of dollars a year in licensing, training, and consulting time. We aim to minimize those costs by analyzing a companies data centers and finding the most critical areas to focus on by using data algebra to determine the quality issues that will cause critical operational bottlenecks.
Model Proposed Data Quality Enforcement Rules With Data Algebra
Does the math add up? Where does it become overly complicated?
How Much Cruft is in the data, and how much does it matter?
What do we need the fields for? Are their substitutes we can use?