Data Related Topics 
Logistics Viewpoints
JANUARY 31, 2024
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.
Logistics Viewpoints
JANUARY 23, 2024
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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ToolsGroup
JULY 19, 2023
It brings data that is stored in different silos across an organization all into one model. Let’s take a look at the challenges associated with digital twins and how real-time data systems are changing the game for companies looking to leverage them. Big, clunky, siloed, and out-of-date data. Get the insights you need.
Enterra Insights
JANUARY 25, 2024
Data privacy is a big deal. We sit on the cusp of a new business era driven by artificial intelligence (AI); however, without data AI doesn’t work. That’s why there is a growing tension between data availability and data protection. Two years later, Data Privacy Day was observed in the United States.
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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.
AIMMS
SEPTEMBER 21, 2021
The post Data Tips for Supply Chain Network Design Part II: Data Collection appeared first on AIMMS.
Talking Logistics
DECEMBER 12, 2023
Four hours later, we finally arrived, Read more The post Effective Supply Chain Planning Is All In The Data appeared first on Talking Logistics with Adrian Gonzalez. My plan to get there was pretty straightforward; I knew the best route and all the usual traffic patterns, so we set out on what should have been a two-hour drive.
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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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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.
Advertiser: GEP
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?
Advertiser: GEP
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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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
Speaker: Logi Analytics
Logi Spark 2021 consists of two days of networking, best practice sessions, and forward-thinking keynotes on the future of data. Preview our sessions and sign up to join other data leaders looking to transform the world of analytics.
Advertiser: GEP
In response to these challenges, a leading heavy equipment manufacturer selected GEP to redesign its source-to-contract processes and implement a convergent data model to help manage procurement data across its multiple locations.
Advertiser: ZoomInfo
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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