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Business’ Big Data Problem: Data Quality

Enterra Insights

There is almost universal recognition that the age in which we live is dominated by data. Data is the sine qua non of the Digital Age. Here’s the problem: According to a survey conducted by HFS Research , “75 percent of business executives do not have a high-level of trust in their data. Improving Data Quality.

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Freight Market Intelligence: Data is crucial, but context is king


In this article, Eytan Buchman, Freightos’ CMO, discusses the importance of data and context in global freight and logistics. The future of global freight data lies in real-time information, contextual insights, and aggregated data that can help companies make better decisions and adapt to a rapidly changing industry.

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Data Tips for Supply Chain Network Design Part II: Data Collection


The post Data Tips for Supply Chain Network Design Part II: Data Collection appeared first on AIMMS.

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Rise of the Industrial Data Scientist

Logistics Viewpoints

Enter the industrial data scientist, a new breed of data analyst with access to more industrial data than ever before and the advanced technology to translate that information into actionable intelligence. However, leveraging AI requires data science capability, which adds additional complexity to an already complex environment.

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5 Data Roadblocks to Overcome in the Journey to Net-Zero Emissions

This GEP-sponsored Supply Management Insider guide breaks down the data barriers to meeting sustainability goals. CPOs are now being measured on sustainability targets. How can they meet this new challenge?

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How to Use Reference Data to Jumpstart Building Data Models


A key factor in the success of Logility’s network optimization solution is the use of reference data. At Logility, we believe that using market reference data is more statistically sound than relying on historical data from one customer. Yes, this data is comforting in that it reconciles back to accounting numbers.

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Digital Transformations Require Clean, Accessible, Up to Date Data

Logistics Viewpoints

Matt Elenjickal, the Founder and Chief Executive Officer of FourKites, has pointed out that “data is the raw fuel of a digital transformation.” But it must be quality data! When enterprise implementations take longer than expected, almost all do, the amount of time needed to clean up the data is often the leading factor.

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Leveraging Data Analytics to Build a Truly Connected and Collaborative Supply Chain

This GEP-sponsored report will show you how to leverage data for a collaborative supply chain that delivers results and how to future-proof supply chain management strategies. The C-suite is laser-focused on supply chain performance.

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Return to Success: Streamlining Returns in the Supply Chain for Enhanced Efficiency

Speaker: Cathy Morrow Roberson, Research Manager for the Reverse Logistics Association

Businesses need to leverage advanced tracking systems and data analytics to identify bottlenecks and improve supply chain visibility. In today's competitive business landscape, providing a seamless return experience and maintaining an efficient supply chain are critical to customer satisfaction and loyalty.

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ABCs of Data Normalization for B2B Marketers

Data normalization. However, if lead generation, reporting, and measuring ROI is important to your marketing team, then data normalization matters - a lot. At its core, data normalization is the process of creating context within your marketing database by grouping similar values into one common value. Why is this so essential?

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Digitizing Logistics: Harness the Power of Data in 4 Steps

That’s where your data comes in. In demand generation, data is essential for knowing who you should target and how. In this eBook, you’ll learn how to identify and target your ideal prospects — when they’re most receptive to hearing your message — using different types of data. Leveraging intent data.

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The 2019 Technographic Data Report for B2B Sales Organizations

In this report, ZoomInfo substantiates the assertion that technographic data is a vital resource for sales teams. reporting that technographic data is either somewhat important or very important to their organization. In fact, the majority of respondents agree—with 72.3%

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End to End Supply Chain Visibility - Solving The Data Problem

People think end-to-end visibility is simply aggregating data from multiple sources, storing it in one place, and serving it up. But once you have that data, how do you use it? This "Data Problem" is the biggest issue in supply chain today; it's also your biggest opportunity.

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Why B2B Contact and Account Data Management Is Critical to Your ROI

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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Buyer’s Checklist: How to Evaluate a B2B Contact Data Provider

Leveraging a data provider to help identify and connect with qualified prospects supports company revenue goals by alleviating common headaches associated with prospecting research and empowers sales productivity. Download ZoomInfo’s data-driven eBook for guidance on effectively assessing the vendor marketplace. So what’s the problem?