Clearly, savvy companies are taking steps to protect personal data. At the same time, forward-looking companies are setting themselves apart by leveraging their metadata to better understand and protect the value of their data.
This post was first published by our partner, MANTA, on their blog and is republished with permission Data management in the financial sector can easily get out of hand. The volume of data that is growing every moment, the complexity of data environments, ever-changing regulatory compliance requirements, and system modernization challenges prevent financial data end-users…
Data governance remains a poorly understood discipline, as discussed in the post Data Governance is not Data Management. Yet, it remains the foundation of almost any data initiative, whether formally or informally, This post discussed five programs that have a heavy depenency on effective governance. 1. Self-service Business intelligence Self-service BI has been a goal…
Empowering remote workforces with effectively managed data is the next frontier, it will be the differentiator in 2021.
Formalising data governance makes these decisions repeatable, reduces rework and conflicts, provides audit trails for compliance and risk management etc. In most cases this means identifying what you already have, and building from there to an enterprise capability.
Our partner choices reflect different approaches to metadata management that address different needs. This blog post is intended to help you to understand why we have selected these partners and where they may fit in.
