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Importance of Ensuring a Data Management and Supervisory Control Framework Spanning Supply Chain Execution Decision Making

Supply Chain Matters

In this commentary we focus specifically on the importance of a broader end-to-end data management framework while overcoming the fragmentation of data that is locked in separate, unconnected software applications. All rights reserved.

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Executives Exploring AI Need to Understand Data Fabrics

Logistics Viewpoints

This is why data fabrics are necessary. A data fabric refers to an architecture that supports a unified approach to data management. Data fabrics need to work across an AI and Analytics lifecycle. This is a critical framework that guides the transformation of “good enough” data into insights and actions.

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Why Master Data Management Is the Crux of Supply Chain Resilience

Supply Chain Brain

To help safeguard their supply chains against future unpredictable events, organizations can implement a master data management (MDM) strategy as a foundation for strong risk mitigation during times of crisis.

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Powering distributor success with master data management

IT Supply Chain

By Pat McCarthy (pictured) Chief Revenue Officer at Precisely The post Powering distributor success with master data management appeared first on IT Supply Chain.

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GEP Procurement & Supply Chain Tech Trends Report

2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.

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Fleet Management 2.0: The Rise of Connected Vehicles in Global Supply Chains

Logistics Viewpoints

Together, these capabilities show how connected fleet technology supports precise, cost-effective fleet management. Operational Challenges in Managing Connected Fleets Connected fleets introduce challenges that require strategic planning, particularly in data management, integration costs, and cybersecurity.

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​​From Data Entry to Data Management: Enhancing Business Intelligence

IT Supply Chain

By Richard Pearson (pictured) Content Writer The post From Data Entry to Data Management: Enhancing Business Intelligence appeared first on IT Supply Chain.

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How ZoomInfo Enhances Your Database Management Strategy

It's quite a process for marketing teams to develop a long-term data management strategy. It involves finding a data management provider that can append contacts with correct information — in real-time. Not just that, but also ongoing data hygiene efforts to keep the incoming (and existing) information fresh.

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Forrester Research Report: How Sales and Marketing Intelligence Drive Improved Business Outcomes

of companies achieved a score indicating maturity in data management practices in the space.". Check out this latest report to gain insight into best practices (and benefits) for B2B data management including how: Automating tasks and improving data quality would increase sales staff satisfaction and productivity.

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Best Practices for a Marketing Database Cleanse

Multiple industry studies confirm that regardless of industry, revenue, or company size, poor data quality is an epidemic for marketing teams. As frustrating as contact and account data management is, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information.

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

Given data’s direct impact on marketing campaigns, reporting, and sales follow-up, maintaining an accurate and consistent database is a top priority for B2B organizations. Download this eBook and gain an understanding of the impact of data management on your company’s ROI. How data impacts your organization as a whole.