The problem is too much data - in too many places and in too many formats. Data integration has long been terribly painful and extremely expensive. The difficulties in getting it all in one place and keeping it that way is the main reason that most Big Data Analytics initiatives have failed. Until now.
Forget everything you know about long complex systems integration projects, cleansing data, building data lakes, and expensive analytics warehouses while still not getting the business results you are looking for. APIlation delivers an on-demand intelligent technology collaboration platform that dynamically enables universal integration, analytics, and action-ability of every available application, technology, and data asset so you can innovate disruptive new business models like never before.
To solve the data integration problem we pioneered a patent-pending object-oriented NoSQL integration technique that enables any file format or API to be dynamically mapped through the use of Advanced Machine Learning / Artifical Intelligence (AI) algorithms.
NoSQL technologies are uniquely suited for providing the interoperability required of applications because their document-based architectures and flexible data schemas accept both structured and unstructured data without requiring complex data normalization/transformation, cleansing, and point-to-point integration techniques.
In layman's term that means that APIs essentially map themselves and we don't necessarily need to get it all in one place first.
We are able to work with the data asynchronously wherever and whatever it is. Hence, we don't need to spend huge amounts of money and time on data cleansing, transformation, and normalization into a big "lake" until we can work with all that data from all those places.
We just make data integration happen - in a small fraction of the time for a small fraction of the costs.
