Category Theory based Business Data Explorer to democratise access to data locked in databases, with the freedom to define, extend, compose, prove data descriptions by and for business users.
Access to data, with confidence, is a pressing business, without going through the tech team is long due for unavailability of apt tools. Sure there are tools which need tech intervention to surface metadata but what if there were a tool that just maps to any databases/data sources’ metadata and allows any user to EXTEND the metadata in any dimension, without disintegrating the source data? What is this tool can capture the business metadata continuously, as business events are unfolding, while also closely related to the hard truths of technical data? This document describes the problem, gaps in prior art/existing solutions, the promise of the solution that leverages the strengths of Category Theoretical approach to this.
Category Theoretical Business Data Explorer – a Universal, Tech-Free Business Data explorer for enterprises: A platform to provide business users ‘business view of data’ that is complete, accurate, faithful, and connected to the source data.
The need for data-driven decision making, or at least data-influenced decision making is more pressing now than ever. But for all the talk about data-driven decision making, at all levels of enterprise hierarchy, it has never taken off for lack of enabling factors mentioned below. There has never been a proven technology that can give the confidence of systemic data sanctity to decision makers, to address the below impediments.
Read further here: https://surecan.substack.com/p/business-data-explorer-with-infinite
Comments