Quality Related Topics 
Logistics Viewpoints
JUNE 29, 2021
Today, I’m going to add a qualifier — it has to be quality data. Just as any chef will tell you that anything less than the best quality ingredients can render a dish inedible, so too, bad data can turn any data-driven IT effort sour. So, what is quality data? So, ensuring data quality is critical. Inspect before entry.
Enterra Insights
DECEMBER 2, 2022
… This lack of trust comes despite 89 percent of executives surveyed saying a high level of data quality was critical for success.”[1] ”[2] As a result, it appears job one for businesses is to improve data quality. Improving Data Quality. He suggests there are three important data quality dimensions.
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Talking Logistics
MARCH 29, 2022
This January 2022 post from E2open’s blog highlights how manufacturing quality plays into carbon production and presents three steps to reduce. Read more Editor’s Pick: Green Manufacturing Starts with Quality.
SCMDOJO
MAY 10, 2023
However, the success of an ERP system largely depends on the quality of its master data. Poor quality master data can lead to errors, delays, and inconsistencies, which can have serious implications for an organization’s bottom line. These systems help organizations to manage their resources more efficiently and effectively.
Advertiser: ZoomInfo
Those implementing a B2B sales and marketing intelligence solution reported that they have realized 35% more leads in their pipeline and 45% higher-quality leads leading to higher revenue and growth. B2B organizations struggle with bad data.
ivalua
APRIL 28, 2022
To be of use, supply chain data must be of good quality and trustworthy. The post Supply Chain Data Quality & Governance appeared first on Ivalua. The current global supply chain crisis has revealed critical issues involving the global distribution of goods and services.
IT Supply Chain
APRIL 8, 2023
By Richard Pearson (pictured) Content Writer The post Boost Your Website’s SEO with High-Quality Dofollow Backlinks appeared first on IT Supply Chain.
Advertiser: ZoomInfo
Leveraging research and commentary from industry analysts, this eBook explores how your sales team can get back valuable time by overcoming some pain points with your CRM, such as low adoption rates, integrations, and data quality.
Advertiser: ZoomInfo
With remote work making white-collar jobs more flexible and talent more mobile, a rebound in hiring meant the race for quality candidates had become even more frantic. According to Harvard Business Review, the COVID-19 pandemic exacerbated seismic shifts that were already rocking the talent market.
Advertiser: ZoomInfo
Combatting low adoption rates and data quality. Leveraging leading industry research from industry analysts, this eBook explores how your sales team can gain back valuable time with the following: Conquering the most difficult pain points in your CRM. Leading integrations that fit directly into your CRM and workflow.
Advertiser: ZoomInfo
Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.
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Recruitment AI technology uncovers the most qualified candidates. This technology automates recruiting routines and facilitates natural conversations, resulting in higher productivity and a better candidate experience. Download the eBook to learn more!
Advertiser: ZoomInfo
64% of successful data-driven marketers say improving data quality is the most challenging obstacle to achieving success. The digital age has brought about increased investment in data quality solutions. However, investing in new technology isn’t always easy, and commonly, it’s difficult to show the ROI of data quality efforts.
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Common problems like data access and quality are preventing you from taking the first step towards transformation. Modern visibility providers are putting band-aids on bad data, giving you the ability to make misinformed decisions. Solve the data first.
Speaker: Dr. Ken Fordyce, Solutions Director, Supply Chain and Advanced Analytics at Arkieva
To identify these structural shortcomings, you need a quality central planning engine (CPE), and resolving them often requires a change in the economic landscape. What structural data quality is and why it limits rapid intelligent response (RIR). How to avoid data-driven disasters.
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