Rethinking Data Governance and Data Integration for a cloud-based digital world - Seguridad Mania.com - España y América Latina

Within the Data Revolution there has been a lot of focus on Data Governance in the last couple of years for two reasons: Value and importance of data and analytics to a company’s business strategy has grown exponentially. And regulatory change globally means it can’t be pushed aside.
 Data Governance has been around a long time, especially in financial services, but how should the capability change to keep up with the following trends in data and technology?
 * Cloud based infrastructure, applications and data platforms
 * Digital technologies
 * AI technologies, both in data and more broadly
 * Laser focus on the customer experience and outcomes
 Many companies are struggling with the dichotomy between: Needing to build agile data and analytics capabilities that can rapidly deliver value to the business. And needing to ensure the data in these use cases is governed - compliant to an ever-increasing complex regulatory environment, and also trusted and accurate. To resolve this dichotomy data governance needs to change to be aligned to the new paradigms in data and technology.  
 We will talk a bit more about the relationship between Data Governance and Data Integration/Data Engineering in this new way of thinking.
 Let’s recap what rethinking Data Governance and Data Integration means:
 -Embedding Data Governance into the operating model for analytics use case delivery.
 -Implementing AI enabled technologies to run data governance, to be lean and fast.
 -Focussing firmly on enabling safe innovation rather than compliance.
 -Use industry standards not bespoke models that are costly to develop and maintain.
 -Work towards real time data integration, transforming and governing the data in the data platform.