Data quality has become a key challenge for the data industry. Disruptive, growing complexity of data landscapes, being known as data heterogeneity, has become a headache for IT departments, especially considering the AI / ML usage. In this situation, a need for universal, configuration-based solutions with powerful functionality is enormous. This is how you stop AI to lie.
Our core technology {openTurtle} metadata and its modular services answer the following fundamental questions from the customer's point of view:
• where is our data located
• how is the data structured and encoded
• what is the quality of the data
• what quality must the data have
• can the data be used directly at its origin and
• how do we extract value from this data