Clearing the Road to Quality

Strapline: Q&A

Roberto Maranca, managing director for enterprise data, GE Capital

Are data governance plans proving effective for improving data quality?

In its essence, data governance paves the way towards a change of behavior and a care for data that should yield better data quality. The challenges are centered around its prioritization and pervasiveness. Many firms are planning too aggressively—trying to gulp the entire breadth of data in one go with policies, edicts and compliance programs. Data governance is a huge change in the collective company behavior and should be tailored to the company so that it is progressive, but most importantly sustainable.

What is the most important element for addressing data quality, and why?

Data quality must be seen through the eyes of the data consumers. Too often, "good data quality" is discussed as an absolute value. Therefore quality-level agreements between data owners and data consumers should be brought about to detail what good looks like, in order to manage expectations and use company resources in the right direction. That should also simplify data quality communication, as an unqualified ocean of red, amber and green indicators can affect the confidence of those consuming the data.

Is automation having a negative effect on data quality?

Potentially, if automation increases the output of a process in terms of unit produced per time, and as a benefit is supposed to reduce the human touch-time in the whole process (e.g. risk auto-approval), there is a risk that a quality issue could be replicated on larger scale faster, and have a deeper impact. The solution is to design automation with more robust and tested quality control processes from the start.

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact or view our subscription options here:

You are currently unable to copy this content. Please contact to find out more.

Brown Brothers Harriman unifies busy suite of AI products

It’s a new world, contend BBH’s Kevin Welch and Josh Fine. After a few years of experimentation that yielded several AI products for the bank and its clients, it was time to put the puzzle pieces together to serve a different way of working post-Covid.

Bank-backed Versana takes aim at syndicated loan tech

Born from a consortium that includes JP Morgan and Bank of America, Versana aims to bring up-to-date and permissioned data to the syndicated loan market—the first step to a more transparent and faster operating market.

You need to sign in to use this feature. If you don’t have a WatersTechnology account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here: