How poor data impacts your business's bottom line and what you can do about it.
Business tips
Jereme Sanborn
How does poor data impact businesses?
- Poor data quality wastes around 27% of the time of the employee using it.
- Bad data costs the average business $15 million per year in losses.
- Poor data quality is responsible for $3.1 trillion of lost U.S. GDP annually.
- Bad data costs companies an average of 12% of their revenue.
- Inaccurate or incomplete data reduces productivity by 20%.
Why does bad data occur?
- Poor collection and analytical techniques.
- Poor data vetting — accepting data from unverified sources.
- Reliance on unreliable or inaccurate third-party data.
- Recycling low-quality data through software and generating more bad data.
What are the consequences of poor data quality?
- Lower customer satisfaction scores.
- Inability to perceive the needs of market participants.
- Unnecessarily high costs.
- Higher data processing costs.
- Loss of productivity.
- Incorrect business strategies.
- Damaged reputation.
Are businesses aware of their data problems?
- 91% of IT decision-makers believe they need to improve data quality.
- 77% of business decision-makers say they lack trust in their organization’s data.
- 87% of companies report knowingly using bad data in their analyses.
What are the solutions to poor data quality?
- Analyze data patterns: Don’t assume a single data issue is isolated.
- Make your data stack part of your critical infrastructure: Treat it in the same way as your IT network, physical plant and machinery, offices, and staff.
- Avoid using legacy tools: Seek modern data management solutions that let you manage the entire data lifecycle, not just isolated parts of it.
Sources:
https://www.prove.com/global-solutions/uk
https://www.infocleanse.com/impact-of-poor-data-quality-in-business/
https://www.tdinsights.com/infographics/how-bad-data-affects-business/
https://www.inc.com/anne-gherini/why-your-bad-data-is-creating-a-3-trillion-problem.html
https://www.snaplogic.com/resources/research/state-of-data-management-impact-of-data-distrust
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