How Procurement Can Add Value To Supplier Master Data Management

ivalua

Jarrod McAdoo, Senior Product Marketing Manager, Ivalua. Master supplier data doesn’t just matter to Procurement. Accurate supplier data is the fuel that drives critical business processes that impact the bottom line. Who Should Own Supplier Master Data? Risk management.

Supply Chain Metrics - Gaining Visibility in a Data-rich World

Logility

The late consultant, educator, and author, Peter Drucker, is often quoted as saying "you can't manage what you can't measure.” The second part of Drucker’s quote, “if you can't measure it, you can't improve it,” really brings home the importance of having the right set of metrics. In the field of supply chain management, we have created an abundance of metrics and key performance indicators (KPIs). Master Data Management.

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Transportation Data Overload: How a TMS Enables Data Management

MercuryGate

The volume and opportunity to collect and manage transportation data is increasing, and companies are clamoring over their potential. The post Transportation Data Overload: How a TMS Enables Data Management appeared first on MercuryGate International.

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What Supply Chain Data Should I Track in 2020?

Veridian Solutions

Supply chain data management requires attention to detail and a mechanism in place that provides analytics, or insights, to gain actionable knowledge. Risk exists around data when it is incorrectly or inaccurately collected and shared. To ensure your organization applies data correctly and generates meaningful KPIs , supply chain leaders must know the challenges of data tracking, how it improves operational excellence, and the primary types of data to track in 2020.

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Best Practices for a Marketing Database Cleanse

As frustrating as contact and account data management can be, this is still your database – a massive asset to your organization, even if it is rife with holes and inaccurate information. Entrusting a vendor to help maintain its accuracy and completeness is no ordinary engagement. Download ZoomInfo’s latest data-driven eBook aimed to help marketing leaders understand the best practices around choosing a B2B contact data provider.

8 Master Data Governance Best Practices for Better Customer Engagement & ROI

Vinculum

Over the past decades, the significance of data has amplified and in today every business operation, be it strategic decision-making or the daily function, is data-enabled. Researchers and data scientists are collaborating on a wider scale and bringing out breakthrough innovations in the space to master the ultimate potential of data in today’s time. Despite the growing importance of data and its optimal management, there is still room for improvement in the space.

Coming to IRF 2019, Mumbai? Visit Vinculum at Booth #A22

Vinculum

Order and inventory management. Consistent product and master data management. Order & Inventory Management – Take control of your orders, inventory and returns through a single, real-time dashboard view of your orders and inventory across all sales channels. Realigning metrics, analytics, experience design, and innovation around customer journeys.

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EHS Software: The Accurate Safety Data Leadership Demands

UL EHS- Sustainability

One of the significant challenges our clients battle is winning management buy-in to EHS initiatives when their eyes are laser-focused on the bottom line. If metrics are not part of your plan, “selling” your case will be an uphill battle. But with planning and strategizing, supported by an effective EHS software management system, I’ll outline how to tactically make your case. For added ammunition, your argument should be supported by measurable data points.

5 supply chain management habits that will land you on the naughty list

Kinaxis

If you haven’t broken these ineffective supply chain management habits , you’re likely to find nothing but a lump of coal in your stocking come Christmas. Managing operations for a specific geographical location independently of others will cause misalignment – strengthening those silos and creating data management and transfer barriers. Ensure your supply chain is successful by connecting data, processes and people across the entire network. by Alexa Cheater.

Advanced Analytics Are Everywhere!

Logility

At its most basic level, supply chain analytics are the application of mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns in the vast mountains of data produced by enterprise systems and external sources.

Advanced Analytics Are Everywhere!

Logility

At its most basic level, supply chain analytics are the application of mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns in the vast mountains of data produced by enterprise systems and external sources.

Replenishment Planning

o9 Solutions

o9 Solutions April 21, 2020 Retail Planning Solutions Retail market insights Bring structured and unstructured data scattered across multiple sources into one integrated system to take faster, targeted actions to improve… o9 Solutions April 14, 2020 Retail Planning Solutions Retail Demand Planning Increase revenues, improve margins, and inventory productivity with next generation cloud software.

Forecast Accuracy at the SKU Level is Achievable

Logility

Gartner, for example, places demand forecasts at the top of their Hierarchy of Supply Chain Metrics to highlight the impact of forecasts throughout the supply chain. A confluence of advanced forecasting solutions, increased computer processing power, growing availability of Big Data, and a younger more tech-savvy workforce makes the time right to retire these legacy practices to enable more efficient and effective demand optimization capabilities and drive higher forecast accuracy.

Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Cloud-based supply chain management tools, the Internet of Things (IoT), artificial intelligence (AI) and machine learning are expected to figure prominently in future supply chain operations. Today’s supply chains are increasingly complex, driving logistics operations to invest billions in systems to manage all the moving parts. More data is coming in than ever before.

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How Can Manufacturers Manage Disruption and Improve Productivity?

Halo

By using advanced analytics for manufacturing, to understand the valuable information concealed within data they already have! Here it is again: there’s a valuable asset that many manufacturers have not yet optimized - their own data. Some of you may want to argue that point, but note that we’re calling for the optimization of deriving sound business decisions from data. Managing your data. The term of art is data warehousing.

Conquering the Explosion of Supply Chain Planning Data

Logility

Companies across all industries and sizes struggle to make sense of and value from the available mountains of data. Structured and unstructured data including that from social media, Internet of Things (IoT) and Blockchain sources continue to stream in but much is left untouched. However, to capture these benefits requires the right people, process and technology capabilities to extract the insights within the data. Exponential Growth in Supply Chain Data.

Three Tough Headlines: What Can We Learn?

Supply Chain Shaman

I worked with consultants defining a business case for cloud-based supply chain solutions and new vendors looking to use artificial intelligence to solve the problems of master data management. Running a public software company in the supply chain management space is a tough job. Today is a rainy day in Philadelphia. I am recovering from bronchitis. I am reflective as the rain sheets down my window. My travels this week took me to California and Boston.

7 Tips: A Guide to Mastering Procurement

Material Handling and Logistics

Automation is focusing on risk management, driving innovation, improving cash and increasing revenue. Managing supply risk is not a new concept; however, with growing dependence on suppliers paired with more complex global supply chains, it comes with greater challenges.

The Digital Supply Chain: Making The Leap With A Ball and Chain

Supply Chain Shaman

Master Data is No Longer a Barrier. Cognitive learning and rules-based ontologies will redefine master data management technologies making them obsolete. I also believe that growth in Asia and Africa will spur new thinking in supply chain processes for the use of mobility and sensor data. There are some positives: in 2016, over 60% of supply chain leaders are embracing cloud-based solutions, and 45% are increasing their spend in supply chain management solutions.

Collaboration and Visibility in the Supply Chain

Oracle SCM

One of the Supply Chain Management trends apparent at the Gartner Supply Chain Executive Conference in May was highlighted by several vendor/customer presentations focused on the value of Collaboration and Visibility projects. Tom McDonough , Sr. Director Product Marketing.

7 Tips To Consider When Selecting an MES Solution

IQMS

IQMS is defining MES as including planning & scheduling, production reporting including analytics & Business Intelligence (BI), Quality Management and Shop Floor Control System. That Awkward Moment When You Realize 70% Of Factory Data Isn’t Being Used.

4 Ways Big Data is Changing Inventory Management

EazyStock

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. Processing a large volume of information the main benefit of big data analytics.

Application of Web Based Technology to Improve Supply Chain!

Supply Chain Game Changer

Since the appearance of the first computers, information systems have been introduced in companies as a powerful tool to optimize and improve their management. The Spread of Big Data in Logistics. One of the main applications of technology in the supply chain is big data.

Five Causes of Analysis Paralysis You Can Avoid

TMC

How often do you feel like you’re drowning in data? It’s a familiar feeling for many supply chain professionals in today’s data-rich working environment. Or maybe you are unaware that the volume of data you’re processing may be in excess of what you actually need. It’s a common pitfall at a time when the number of data sources and data points seem to be growing exponentially. The data is not aligned with the specific needs of the functional group.

Five Causes of Analysis Paralysis You Can Avoid

TMC

How often do you feel like you’re drowning in data? It’s a familiar feeling for many supply chain professionals in today’s data-rich working environment. Or maybe you are unaware that the volume of data you’re processing may be in excess of what you actually need. It’s a common pitfall at a time when the number of data sources and data points seem to be growing exponentially. The data is not aligned with the specific needs of the functional group.

Top 15 Logistics Blog Posts of 2014

Cerasis

The Warehouse Manager’s Complete Warehouse Traffic Management Checklist : A warehouse manager is responsible for ensuring the health and safety of their employees and others who visit your workplace. Any process or management after the sale of the product involves reverse logistics. And no wonder, they may find a motherlode waiting to be mined.Companies can no longer afford to treat reverse logistics management as an afterthought.

Why A Successful Transportation Management Program Is Empowered By Data

Cerasis

Today we continue our long series and look at teaching shippers how to remain strategic when it comes to logistics and their transportation management program. 6 Benefits of Applying Useable Data in Logistics For Continuous Improvement. Strategic Logistics Management: The Importance of Flexibility. The Use of Data to Create a Successful Transportation Management Program. However, most of today’s data goes unused and represents a lost opportunity to the company.

Exception management: An important aspect of supply chain visibility

20Cube Logistics

Exception management is an effective mechanism in supply chain management. The capability to address the issues and ensure the smooth functioning of the operations helps a company to be stable and with technology raising its bar every day in supply chain management, it’s more like management by exception rather exception management. . From exception management to manage by exception. Managing by exception is nothing but data management challenges.

Sam’s Club Updates Appointment Scheduler and OTIF Standards

Zipline Logistics

It currently just uses on-time metrics to grade suppliers and the store’s retail buyers can base purchasing decisions on a brand’s delivery performance. Download: Using Data to Drive OTIF and Retail Compliance Success. Download the free white paper to learn more about how data can be used to reduce logistics spend while improving supply chain performance. In this ebook, you will learn how data can be used to identify efficiencies and make logistics improvements.

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Q&A: Chris Reed, Ferguson Enterprises – Building an Agile Supply Chain

Logility

Recently I had the pleasure to sit down with Chris Reed, director of inventory and data management for wholesale distributor Ferguson Enterprises on how they are building an agile supply chain. If we are not preparing well ahead of the transition, market adoption will occur faster than the product master data and demand exchange in our systems, negatively affecting our accuracy.

New job opportunity: Product Owner

DiManEx

Along the way, this person will help us build the product management practice within DiManEx, both managing and improving existing releases & features as well as creating our new roadmap with innovative new data driven products, features and services. Identify market and customer needs, and collaborate with management, business and operations to define product vision & strategy and execute on the chosen product roadmap. ?

What Digital Native, Traditional Brands Can Teach Each Other

Alloy

Lesson One: Let Data Drive Decisions Digital natives were born into today’s technology environment, which treats data analytics as foundational to decision-making. Starting out direct-to-consumer, it’s easy for them to access granular sales data, use it to understand what consumers want, and take action to meet that demand. On the other hand, making data-driven decisions requires more of a mindset shift for traditional brands.

Making Better Manufacturing Decisions With the Help of Machine Learning

Oracle SCM

context, data is coming in from more and more sources. We are creating more and more data every day. quintillion bytes of data created each day, and that pace is only accelerating with the growth of the Internet of Things (IoT). We are creating a lot of data.

Why Logistics and Transportation Should Digitize

3rdwave

The more granular and comprehensive the data captured in digital format, the higher the fidelity and resolution of the picture presented through digitization. Digitization is suddenly so important because the current technology supports the capturing of phenomenal amounts of raw data from an unlimited number of sources and the converting of that data into meaningful, contextual, and actionable information – quickly and at low cost. What is Digitization?

Is Your Supply Chain A Cost Centre or a Value Creator?

Supply Chain Game Changer

From planning to negotiating to buying, from moving goods to processing goods, and from managing data to managing inventory. Whatever your Industry you should be able to make comparisons to competitors, do benchmarking, and even compare yourself on key metrics across industries.