CFOs must recognize that data problems stem from process problems, which can create additional issues. It’s a catch-22: Bad processes lead to poor data, and poor data perpetuates bad processes.

Utilize data quality tools and software to automate the process of data cleansing, validation and enrichment. These tools can help identify and rectify inconsistencies, redundancies and ...

Microsoft DQS’s computer-assisted and interactive process saves time and effort by automating the data cleansing process and improving data quality by allowing human input and verification.

The process can include a data quality checklist to determine if there are any data incoherencies, gaps in the timeline, formatting errors, or missing attribute values.

To aid in this process, we analyzed the best data quality software, including their features, costs, pros and cons, and suitability for business scenarios.

Amidst ever-changing regulatory requirements and hype around the potential of data-driven technologies, demand for better quality data in the financial industry has never been higher. Stuart Harvey, ...

The data quality process was slow and had a steep learning curve for new users. In addition, though data cleaning began in February 2008, it is still ongoing, and the CRM still hasn’t been fully ...

This quality-controlled and standardized performance data supports a broad range of data users within theatre-level, corps-level and brigade-level and below, covering a wide array of systems and ...