Data Related Topics 
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.
ToolsGroup
MAY 28, 2024
In today’s hyper-competitive market, where supply chains need to be agile and responsive, even a minor delay in data can have significant repercussions. Companies are finding that data latency isn’t just a technical hiccup but a major obstacle to effective decision-making. What is Data Latency?
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Enchange Supply Chain Consultancy
MAY 15, 2024
Who coined that irritating term “Big Data”? How did we get there without normal sized data, slightly larger data, large data and bordering on big data? Perhaps some FMCG companies should have a data limit as you do with mobile phone contracts.
AIMMS
SEPTEMBER 21, 2021
The post Data Tips for Supply Chain Network Design Part II: Data Collection appeared first on AIMMS.
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?
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.
Logistics Viewpoints
JANUARY 11, 2024
Let’s just come right out and say it – without the ability to capture, aggregate, and understand your supply chain data, you have gray area within your organization. The data locked in black boxes across your operating network causes you, and your network, to operate ineffectually. Your “story” is in your data.
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.
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.
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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: 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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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
Advertiser: ZoomInfo
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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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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