Cinchy: The Problem With Data Integration
If you have anything to do with managing or using data at your organization, this podcast’s for you.
Imagine, ALL your enterprise data acting as a collaborative network, ABLE to place relevant data in and out of ANY application as needed, made available to ANY person as needed.
Now imagine how much easier your life would be and how much better your business would perform in this state.
Sounds like a dream right? Well it’s not.
It’s a reality of today and it’s all possible with an enterprise dataware platform.
In this 3-part podcast series with Cinchy, Data Whisperer, Scott Taylor examines the challenges and opportunities associated with data integration and transformation with Dan DeMers, Co-Founder and CEO at Cinchy. For their first episode, the pair discuss what's wrong with data integration and big data architecture. Though there are a number of solutions on the market that businesses can use, many of them are not solving the problem of trapped data within apps that create an endless number of data silos.
Points of conversation include:
- Why approaches like data fabric, data mesh, data visualisation, data warehouse, MDM, data lake, data lakehouse do not solve the problem with data integration
- The concept of the 'app trap'
- The hidden and growing costs of data integration
- Why you buy into the hype of data integration and what the radical new solution dataware actually is.
