The challenge we face today with data
In today’s business landscape, the journey of raw data from collection to its transformation into robust data products is multi-faceted and complex.
Raw data, gathered in alignment with internal operations and stored either on the cloud or on-premises, undergoes various manipulations, such as enrichment, augmentation, and enhancement. It’s also subjected to health and quality checks across standard data quality dimensions, with an additional focus on maintaining data privacy and data sovereignty and protecting personally identifiable information (PII).
Despite all of this work, the true-to-use utility and value of data are often constrained by natural domain boundaries.
To unlock greater value and drive business growth, data must connect across those boundaries, fueling analytical aspirations and evolving into data products. These products empower data scientists to uncover correlations and new opportunities, significantly...
