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Revisiting Data Quality in Supply Chain Management

Talking Logistics

Poor data quality is the Achilles’ heel of supply chain management (see “The Big (Crappy) Data Problem In Supply Chain Management.”) This is especially true for data received from suppliers, logistics service providers, and other external trading partners.

Quality 238
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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

Many global multinationals accelerated their investments in digitizing data during the pandemic. According to Colin Masson, a director of research at ARC Advisory Group, the opportunity to mine these vast quantities of data to achieve business value is “NOW.” Mr. Masson leads ARC’s research on industrial AI and data fabrics.

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Redefining Your Relationship with Data

Supply Chain Shaman

Want to be data-driven? Prepare for the journey by redefining your relationship with data. Data has a cycle as described by this quote from Techtarget.com. D ata management is the process of ingesting, storing, organizing, and maintaining the data created and collected by an organization. The reason? Definition?

Data 245
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Unlocking Digital Efficiency in Logistics – Data Standards and Integration

Freightos

One of the key themes that emerged was the growing importance of data standards and integrations. But the volume of available digitalized data, and the number of tools, solutions and platforms that supply chain stakeholders are using (juggling?) The rate of tech adoption in logistics continues to grow. are growing too.

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Modern Data Architecture for Embedded Analytics

Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.

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Stringent Reporting Regulations Require Data Integrity

Logistics Viewpoints

This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.

Report 285
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NRF 2024: Supply Chain Data

Logistics Viewpoints

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

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Drive Better Decision-Making with Data Storytelling

Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.

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How to Build Data Experiences for End Users

Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.

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Using Data & Analytics for Improving Healthcare Innovation and Outcomes

In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.

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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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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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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.