OmniAI transforms business data for AI
How do technical and security considerations impact data analytics?
Technical and security considerations impact data analytics by limiting the accessibility and usability of data. Data silos, compatibility issues, and security concerns can make it difficult for businesses to apply analytical tools and extract value from their data. This is particularly challenging for companies in regulated industries, as off-the-shelf data models often do not meet their specific needs.
What inspired Pojawis and Maran to start OmniAI?
Pojawis and Maran were inspired to start OmniAI after discovering that many companies, especially in regulated industries like healthcare and finance, struggled with data analytics. They found that the majority of corporate data doesn't fit into a database and off-the-shelf data models are typically not sufficient. Thus, they created OmniAI to transform unstructured enterprise data into something that data analytics apps and AI can understand1.
What percentage of business data typically goes unused for analytics?
Between 60% and 73% of data belonging to the average business goes unused for analytics, according to Forrester. This is due to data being siloed or otherwise restricted by technical and security considerations, making it difficult to apply analytical tools.