Supply Chain Movement

JULY 11, 2014

On 12 May 2014 IMD organized a one-day open event in Lausanne that analyzed big data and its impact on value chains. Several experts with different backgrounds shared their views on the latest trends at the intersection of big data and value chains. When did big data start being part of our life?

Big Data 84

Big Data Data Price Reduction Sourcing Strategies 84

Logistics Viewpoints

MARCH 9, 2023

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.

Supply Chain Planning Software 200

Supply Chain Planning Software Modeling Forecasting Software Optimization Software 200

Enterra Insights

MARCH 15, 2021

Over the past few years, businesses have expressed both delight and disappointment with their big data analytics efforts. The lesson to be learned is that doing big data analytics correctly isn’t as easy as some people would make you believe. Big Data Analytics: From Disappointment to Delight.

Big Data 147

Big Data Analytics Software Predictive Analytics Analytics 147

Enterra Insights

APRIL 12, 2021

Big data remains a big deal. Because data is being generated at rate that would astonish previous generations. From the earliest starting point of time until 2003,” observes Priya Dialani ( @priyadialani ), founder of Les Fleurs, “the whole world just had five billion gigabytes of data.

Big Data 100

Big Data Prescriptive Analytics Software Analytics Software Data 100

Logility

MAY 7, 2020

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. Figure 1: Demystifying Data Units.

Supply Chain Planning Software 195

Supply Chain Planning Software Supply Chain Planning Supply Chain Software Scenario Planning 195

Logility

DECEMBER 29, 2020

Thanks to the power of the cloud and advanced analytics, manufacturers can put data to work, gathering information from multiple data sources and taking advantage of machine learning models and visualization platforms to uncover new ways to streamline processes from sourcing to sales. The term of art is data warehousing.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Analytics Software Supply Chain Planning Software 130

Supply Chain Shaman

JANUARY 31, 2022

Source E2open Shipping Index). As a result, focusing on cost and efficiency, and functional metrics throws the supply chain out of balance. Over the past two decades, organizations have become more insular and less willing or able to share meaningful data. We started the conversation with sourcing. Focus on Cost.

Procurement Analytics 217

Procurement Analytics Manufacturing Procurement Supply Chain Planning Software Sourcing Strategies 217

American Global Logistics

NOVEMBER 21, 2023

In today's digital era, the exponential growth of data has given rise to the concept of big data analytics. While big data offers immense opportunities for businesses, it also presents tough challenges. To ensure accurate and reliable insights, you must deal with Big Data’s challenges.

Analytics Software 52

Analytics Software Quality Security Analytics 52

ThroughPut

MARCH 24, 2024

Demand planning and forecasting in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. Delayed delivery of performance metrics and consumer behavior sets off a chain reaction of excess, wastage, and loss of profits. Excess inventories lead to excess wastage.

Supply and Demand 52

Supply and Demand Optimal Sourcing Forecasting Modeling 52

Arena Solutions

APRIL 4, 2023

IIoT is the connection of distinct devices within an existing internet infrastructure making it possible for manufacturers to make knowledgeable, strategic decisions using real-time data to improve cost reduction, efficiency, safety, product innovation, and more. Big data The use of big data is increasing in manufacturing.

Manufacturing Procurement 74

Manufacturing Procurement Sourcing Strategies Inventory Reduction Cost Reduction Strategies 74

Logistics Viewpoints

MARCH 27, 2023

It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. Demand forecasts are improved with access to downstream data (point of sale, Nielsen retail data, and access to competitor promotion schedules). Doing this, increases the benefits. forecasting product sales at 10,000 stores.

Forecasting 189

Forecasting Forecasting Software Modeling Optimal Sourcing 189

Logistics Viewpoints

NOVEMBER 14, 2022

Many-to-many can also refer to many participants in a network accessing many, many sources of event data critical to supply chain operations through a public cloud network. As an in-memory solution, Nexus allows for Big Data to be accessed very quickly. COVID of course taught companies the need for agility.

Agile and Lean Supply Chain 224

Agile and Lean Supply Chain Supply Chain Planning Software Supply Chain Design Software Supply Chain Network Software 224

Logility

DECEMBER 28, 2020

Thanks to the power of the cloud and advanced analytics, manufacturers can put data to work, gathering information from multiple data sources and taking advantage of machine learning models and visualization platforms to uncover new ways to streamline processes from sourcing to sales. The term of art is data warehousing.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Manufacturing Analytics Software 130

Logility

NOVEMBER 30, 2020

There is a growing awareness within senior executives that transforming supply chain capabilities to take advantage of the emerging areas of “Big Data,” “Artificial Intelligence,” “Advanced Analytics” and “Cloud Computing” provides a competitive advantage and reduces risk due to disruptions.

Supply Chain Planning Software 179

Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain Supply Chain Strategy 179

Kinaxis

JULY 13, 2016

That’s the question many supply chain practitioners are asking themselves in this world of big data, where a flood of new information is rapidly becoming readily available. But there’s this concept of data paralysis—where you have so much data you don’t know what to do with it all—and it could actually be crippling your supply chain.

Supply Chain Planning Software 100

Supply Chain Planning Software Supply Chain Software Data Supply Chain Planning 100

Intelligent Audit

OCTOBER 19, 2022

The focus on visibility has generated an onslaught of transportation data — often from numerous sources. Shippers receive massive amounts of freight data, but they don’t always have the bandwidth to clean or standardize it. The data provided through freight audit payment services can create enormous opportunities for shippers.

Optimal Sourcing 52

Optimal Sourcing Optimization Software Network Optimization Price Mitigation Strategies 52

Enterra Insights

AUGUST 22, 2018

Big data is not a new topic, but it remains a fresh topic of discussion because the amount of data being generated each day continues to grow. Without advanced analytics, finding actionable insights and gaining new knowledge from that data would be difficult and slow — too slow for today’s speed of business.

Big Data 100

Big Data Prescriptive Analytics Software Analytics Software Predictive Analytics 100

Supply Chain Shaman

MARCH 20, 2016

Cloud and open source analytics are fueling new markets giving rise of new software providers in analytics with names like Board, Cloudera, EveryAngle, Enterra Solutions, FusionOps, Halo, Qlik, Spotfire, Transvoyant, Trifecta, and Trufa. The automation of processes with these new data forms intrigues me. New names abound.

Prescriptive Analytics Software 150

Prescriptive Analytics Software Analytics Software Analytics Supply Chain Planning Software 150

Enterra Insights

MAY 31, 2022

We live in a digital age in which, according to Yossi Sheffi ( @YossiSheffi ), Director of the MIT Center for Transportation & Logistics, big data is an organization’s most valuable asset. Today, it’s not people but data that tops the asset value list for companies.”[1] 1] Staff writers at Gadget go even further. ”[3].

Supply Chain Software 130

Supply Chain Software Supply Chain Optimization Modeling Supply Chain 130

Logility

FEBRUARY 26, 2020

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. Without clean, consistent data, demand planners will struggle to create accurate forecasts. The Rise of AI and Automation.

Forecasting 162

Forecasting Forecasting Software Optimal Sourcing Supply and Demand 162

Logistics Viewpoints

MARCH 4, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. This includes internal and external data sources.

Supply Chain Planning Software 261

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 261

Supply Chain Shaman

JUNE 14, 2014

I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter. This is the clear articulation of when and how to make, source, and deliver for the community. Big data supply chains Bricks Matter' I believe that value is what you create.

Optimal Sourcing 283

Optimal Sourcing Manufacturing Procurement Procurement Analytics Modeling 283

Supply Chain Shaman

JUNE 6, 2013

Closing the gaps happens when there are aligned metrics, clarity of vision and aligned planning processes. It combines decisions across sell, deliver, make and source processes to drive value based outcomes. Metrics Alignment. Most companies operate well within functions, but struggle to build strong horizontal processes.

Supply Chain Planning Software 278

Supply Chain Planning Software Supply Chain Planning Optimal Sourcing Scenario Planning 278

Supply Chain Shaman

OCTOBER 25, 2021

Build capabilities to manage planning master data. Manage Make, Source, and Deliver Together. Change internal metrics to a balanced scorecard and force the functions to work better together. We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. What to do?

Analytics Software 195

Analytics Software Analytics Supply Chain Design Software Supply Chain Planning Software 195

Supply Chain Shaman

JULY 9, 2013

We started with mining the data on supply chain financial ratios within industry groups. This research was the backbone of the Supply Chain Metrics that Matter series of reports. Instead, they have measured functional metrics or focused on projects. The Building of the Index. As we did this analysis, I was amazed.

Supply Chain Software 203

Supply Chain Software Supply Chain Modeling Modeling Software 203

Supply Chain Shaman

NOVEMBER 28, 2016

The company leverages globally sourcing strategies to buy products at a lower cost and then deploys some unique process logic to drive mass customization for retailers. Over the period of 2009-2015, only 88% of companies made improvement on the Supply Chain Metrics That Matter. (As Performance on the Supply Chain Metrics That Matter.

Supply Chain Design Software 195

Supply Chain Design Software Supply Chain Planning Software Agile and Lean Supply Chain Supply Chain Software 195

Logility

JUNE 27, 2018

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. In-Memory Processing: Enables fast response times to analytic operations.

Prescriptive Analytics Software 113

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 113

Logility

OCTOBER 6, 2023

Integrations for modern and frequent data updates – The Logility® Digital Supply Chain Platform includes a data integration layer that enables your organization to build modern integrations that support frequent data updates. Which support activities are included in the cloud platform subscription?

Supply Chain Planning Software 193

Supply Chain Planning Software Modeling Software Supply Chain Network Software Optimization Software 193

Supply Chain Shaman

OCTOBER 25, 2021

Build capabilities to manage planning master data. Manage Make, Source, and Deliver Together. Change internal metrics to a balanced scorecard and force the functions to work better together. We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. What to do?

Analytics Software 195

Analytics Software Analytics Supply Chain Design Software Supply Chain Planning Software 195

Supply Chain Shaman

NOVEMBER 20, 2014

Only 57% of retailers have a perpetual inventory signal, and too few companies (22%) have invested in mining channel data through the use of a Demand Signal Repository (DSR). Too few companies understand the differences between syndicated data sources and the use of channel data. For all, this is an opportunity.

Analytics Software 291

Analytics Software Manufacturing Procurement Supply Chain Planning Software Supply Chain Design Software 291

ToolsGroup

JULY 10, 2018

It often employs statistical metrics like MAPE (mean average percentage error), which has hit a wall in recent years due to increased demand volatility and this approach's mostly backward-facing nature. Data sources for the forecast can include planned sales orders, customer contracts and intercompany standing orders.

Supply and Demand 192

Supply and Demand Demand Planning Software Forecasting Forecasting Software 192

Logility

JUNE 28, 2018

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. In-Memory Processing: Enables fast response times to analytic operations.

Prescriptive Analytics Software 101

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 101

Enterra Insights

AUGUST 20, 2019

era is to find the box, open it, and leverage the data it contains. Big data and manufacturing. Megan Ray Nichols ( @nicholsrmegan ) notes, “In manufacturing, even without modern data systems, you need to be aware of vast quantities of information. .” The key to success in the Industry 4.0 They are: 1.

Supply Chain Design Software 100

Supply Chain Design Software Analytics Software Optimization Software Demand Planning Software 100

SCMDOJO

APRIL 9, 2024

From the ubiquity of the Internet and various electronic gadgets, we are now in the era of next-level digital space where businesses and individuals can easily leverage the power of cloud computing, big data analytics, AI, and the Internet of Things (IoT).

Supply Chain Design Software 76

Supply Chain Design Software Logistics Network Optimization Software Optimal Sourcing Supply Chain Design 76

Logistics Viewpoints

FEBRUARY 10, 2021

A SCCN allows a company to get data useful for planning, sourcing, manufacturing, logistics, returns, supply chain risks, and supply chain finance. Basically, a SCCN that can get data feeds from across the plan, source, make, deliver, risk, and finance categories allows companies to have an end-to-end view of their supply chain.

Supply Chain Planning Software 153

Supply Chain Planning Software Supply Chain Design Software Agile and Lean Supply Chain Supply Chain Planning 153

Enterra Insights

SEPTEMBER 28, 2020

.” According to Nimrod Kaplan, CTO and Co-Founder at Water.io, consumer data might not be as abundant as people think. He explains, “Big data essentially has three sources: social data, machine data and transactional data. Social data is comprised of a consumer’s online behavior.

Data 100

Data Analytics Software Supply Chain Design Software Sourcing Strategies 100

Supply Chain Shaman

MAY 22, 2015

The term Big Data is all the range. For me, buzzword bingo on Big Data is bad. They are a big marketing machine. This includes ominchannel and big data. Do not use the big data lexicon. People like to touch data. It is well-proven that touching data adds little value.

Supply Chain Planning Software 150

Supply Chain Planning Software Analytics Software Modeling Software Supply Chain Software 150