SAS: 5 Common data quality project mistakes (and how to resolve them)
Over the course of the last eight years, I’ve interviewed countless data quality leaders and learned so much about the common mistakes and failures they’ve witnessed in past projects.
In this post I wanted to highlight five of the common issues and give some practical ideas for resolving them:
\#1: Not connecting data priorities to business priorities
One of the biggest data quality frustrations I’ve witnessed in the business community is a lack of focus on tangible business issues. Data
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 info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Risk & data technologies
RiskTech100® Winner’s Profile: Moody's
Moody’s celebrates its first year at the top of the RiskTech100 rankings. This marks a stellar year for the Overall Winner, with the firm taking home 15 additional individual awards, its largest haul in the 17-year history of the RiskTech100.
Evolution, Volatility, Change: The impact of renewables on energy market structure
This collaborative report attempts to address the lack of a standardized definition of ‘renewables’, and considers the profound impact that renewable energy and sources will have on the structure of energy markets and the software technology employed by…
Vendor Analysis: SAS; Trade-based Anti-Money Laundering Solutions, 2022
This Vendor Analysis summarizes the key theses in Chartis' trade-based money laundering quadrant report, and takes a detailed look at SAS’s quadrant positioning and scoring, and Chartis’ underlying opinion and analysis.
Chartis Big Bets 2022
Chartis’ annual Big Bets report outlines our major predictions for the year ahead, highlighting some of the key market trends, risk areas and core technologies that form the basis of our 2022 report agenda.
RiskTech100 2020
Welcome to RiskTech100 2020. Now in its fourteenth year, RiskTech100 is still the most comprehensive independent study of the world’s major players in risk and compliance technology, globally acknowledged as the go-to place for clear, accurate analysis…
Why more is not always better in the world of credit
Advanced analytics and AI promise revolutions everywhere, but real-world constraints abound. This is notably true in the world of credit scoring, which needs to be understandable, is often slow to give out real-world results, and can be muddied by the…
