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Data Quality

Why data integrity is essential for transportation and logistics companies providing realtime updates

With the rise of online ordering and the growth of delivery, consumers and businesses alike order more packages, expect them faster, and want rapid updates on progress, delays, and changes. Companies providing transportation and logistics services, then, have a compelling reason to add realtime update features to their apps. In other articles, we’ve talked about the broad challenges transport and logistics companies face when providing realtime updates, including scalability and low latency.

Without data quality, your data initiatives will fail.

Chad Sanderson is passionate about data quality, and fixing the muddy relationship between data producers and consumers. He is a former Head of Data at Convoy, a LinkedIn writer, and a published author. He lives in Seattle, Washington, and is the Chief Operator of the Data Quality Camp. Without data quality, your data initiatives will fail. Despite that, data teams still struggle to gain buy-in on quality initiatives from executive teams. Here's why: 1.

9 Data Quality Checks to Solve (Almost) All Your Issues

Can you put a number to how much bad data is costing your business? This includes everything from marketing losing 21 cents of every advertising dollar due to misinformed business decisions to data engineers wasting more than 3h daily resolving data quality issues. Luckily, you can guarantee high-quality data with 9 simple checks. In this article, we’ll look at.

Why Data Reliability Is Key to Business Success and How To Ensure It

Poor-quality data costs the U.S. economy around $3 trillion a year and impacts the bottom line of 88% of American companies. That's why data reliability is so critical. It prevents inaccurate, inconsistent, or just plain bad data from moving through your pipelines.

Are You Ready for the Data Quality Assessment?

The quality of your data determines how well it supports your business goals within a given context, be it in operations, planning, or decision-making. Low-quality data cannot effectively serve your purpose. Usually, decision-makers rely on data to support their decisions; however, much evidence suggests that poor or uncertain data quality can contribute to ineffective decision-making in practice.

What Is Data Integrity and Why Is It Important?

Your organization’s data is the source of opportunity for your innovation. However, 25 percent of executives surveyed by KPMG either distrust or have limited trust in their data. Without integrity, the information is essentially useless. So exactly what is data integrity? Let’s take a dive deeper into this topic and discuss why it is important for your organization.