Enterra Insights

NOVEMBER 17, 2015

“There is irony behind a discussion of the business value and metrics related to big data analytics, since a lot … Continued. The post Big Data Analytics Can Help Improve the Bottom Line appeared first on Enterra Solutions.

Big Data 100

Big Data Analytics Software Analytics Data 100

Supply Chain Shaman

SEPTEMBER 22, 2024

Companies speak about moving from a functional metric focus to managing corporate metrics, but this does not happen. Of the 114 balance sheet metrics tested in work with the statisticians at Georgia Tech, operating margin improvement has the highest correlation to market capitalization. Hence the Facebook analogy.)

Cost Reduction Strategies 378

Cost Reduction Strategies Waste Reduction Inventory Reduction Supply Chain Planning Software 378

Unleashed

FEBRUARY 20, 2020

For smaller businesses just starting out, they may not have adequate resources to capture this information — and managers may not know what metrics to look out for. In this article, we explore what big data is and its benefits for small businesses, from tracking sales trends to keeping an eye on competitors. What is big data?

Big Data 80

Big Data Data Inventory Management Software Supply Chain Software 80

synchrono

OCTOBER 16, 2017

Is enthusiasm for Big Data wavering? They also predicted that 80 to 100% of manufacturers will have implemented IIoT applications by then and already be reaping the benefits of data-driven insights into their operations. In this post, I’ll cover the three ways you can use Big Data to improve operational performance. #1

Big Data 104

Big Data Predictive Analytics Software Data Analytics Software 104

GlobalTranz

NOVEMBER 17, 2016

Supply chain leaders are enthralled with the idea of using big data, but they tend to fail to understand how to disseminate big data in their organization properly. Ask Traditional Questions, and Let Big Data Provide Answers. However, the fundamental problem remains. Increasing order efficiency.

Supply Chain Design Software 120

Supply Chain Design Software Big Data Supply Chain Software Continuous Improvement 120

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

EazyStock

OCTOBER 10, 2018

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. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

Inventory Management Software 45

Inventory Management Software Big Data Inventory Management Supply Chain Planning Software 45

GlobalTranz

MAY 12, 2016

To survive in an increasingly complex, data-driven world, businesses must be ready to implement new “Big Data” solutions to ensure all data is aggregated, analyzed, and stored appropriately. Businesses are often left with questions about the origination of such data.

Metrics 120

Metrics Logistics Network Optimization Software Supply Chain Optimization Supply Chain Strategy 120

Supply Chain Collaborator

SEPTEMBER 21, 2015

The potential to capture significant competitive advantage with Big Data strategies is phenomenal. But, before you get too excited about applying big data to supply chain logistics management, make a sober assessment of your organization’s readiness to leverage this amazing new capability. The post Big Data?

Big Data 60

Big Data Optimization Software Analytics Software Data 60

synchrono

FEBRUARY 13, 2017

When we began our metrics discussion, we talked about how behaviors are too often dictated by metrics—and whether or not these behaviors actually “move the needle” for sustainable supply chain improvements. Mark Davidson’s blog about aligning metrics to larger goals and objectives covers this topic well.

Resource Reduction 63

Resource Reduction Cost Reduction Strategies Metrics Supply Chain Strategy 63

Supply Chain Network

APRIL 5, 2018

Shippers, carriers, freight forwarders and third party logistic firms are currently spending millions of dollars in resources on ‘estimating’ important metrics such as container Estimated Time of Arrival (ETAs). And relative to emerging data sources of relevant Big Data on global supply chains, one very interesting new player is Spire Global.

Predictive Analytics 79

Predictive Analytics Predictive Analytics Software Analytics Software Big Data 79

Supply Chain Shaman

OCTOBER 16, 2023

A shift from functional metrics to a balanced scorecard. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. The focus on functional metrics sub-optimizes balance sheet results. Funny, isn’t it?

S&OP 336

S&OP Supply and Demand Forecasting Supply Chain Design Software 336

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

Logility

MAY 7, 2020

Figure 1: Demystifying Data Units. Embracing big data brings the promise of reduced costs, improved customer service, reduced risk and the ability to capture new opportunities. However, capturing the data you need is just the start of the journey. Figure 2: Results Achieved Using Big Data Analytics.

Supply Chain Planning Software 195

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

Logility

FEBRUARY 23, 2021

In addition, each truck itself – and there are over 1,000 of them – is a constant big data generator, capturing location, efficiency, speed, right turns, left turns, stop times and the length of each stop. How do you coordinate all this data against the business issue of on-time deliveries with the greatest efficiency?

Inventory Reduction 134

Inventory Reduction Inventory Logility Logistics Network Optimization Software 134

Enterra Insights

JUNE 17, 2019

William Schmarzo ( @schmarzo ), CTO of IoT and Analytics at Hitachi Vantara, explains he like the definition of data science found in the book Moneyball : “Data Science is about identifying those variables and metrics that might be better predictors of performance.” The perfect data science team!”

Big Data 100

Big Data Data Modeling Software Resource Reduction 100

Supply Chain Shaman

DECEMBER 10, 2014

If you miss reading the Shaman in the next few weeks and you want some new reading in the area of supply chain excellence, consider tucking my new book Metrics that Matter into your suitcase. Enjoy the holidays. Today, it is rolling off the presses, as I write, and it will ship from the Amazon warehouses on December 15th.

Supply Chain Network Software 280

Supply Chain Network Software Pharmaceutical Supply Chain Software Supply and Demand 280

GlobalTranz

FEBRUARY 9, 2017

Big Data Accessibility Will Drive Innovation and Change. Take a moment to think about Big Data. It is a combination of numbers, statistics, progress reports and real-time data. You cannot realistically review every detail manually, so how Big Data is accessed and distributed will also change in 2017.

Supply Chain Planning Software 120

Supply Chain Planning Software Demand Planning Software Trends Logistics Network Optimization Software 120

GlobalTranz

OCTOBER 2, 2017

Last mile delays and problems during delivery can eat away at fuel costs and seriously devalue a brand, but shippers Fan leverage technology, such as Big Data, to make small changes and improvements to last mile logistics processes. Be Consumer-Centric. An effective last mile logistics strategy must be focused on consumer needs.

Inventory Reduction 363

Inventory Reduction Cost Reduction Strategies Logistics Network Optimization Software Supply Chain Strategy 363

The Network Effect

JUNE 11, 2014

In part one I laid out the 5 stage maturity model that shows how organizations can turn their “big data” into “big visibility” The stages are 1) Representation; 2) Accessibility; 3) Intelligence; 4) Decision Management; 5) Outcome-Based Metrics and Performance. The Network Effect'

Supply Chain Design Software 194

Supply Chain Design Software Agile and Lean Supply Chain Supply Chain Design Prescriptive Analytics Software 194

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

Veridian Solutions

SEPTEMBER 17, 2014

Metrics, sometimes referred to as key performance indicators (KPls), data, insights, or analytics, provide a glimpse into the universe of your warehouse management system (WMS) and operation. Tracking the right warehouse metrics is comparable to using binoculars to gain insight into your processes.

Metrics 40

Metrics Warehousing Supply Chain Analytics Software 40

Logistics Viewpoints

MARCH 9, 2023

Big data is used to understand a customer’s propensity to buy, the tendency to return, conversion of clicks to orders, demand sensing signals, individualized promotions, etc. to provide very specific output (production, fulfillment, transportation plans by product/date, etc.).

Supply Chain Planning Software 228

Supply Chain Planning Software Modeling Forecasting Software Optimization Software 228

Kinaxis

JULY 13, 2018

Thick data” vs big data, the power of the supply chain profession, and cybersecurity. Complement big data with “thick data”. Instead, she suggested they should complement it with “thick data”. If big data is about numbers and analysis, thick data is about bringing human intuition into decision-making.

SCM 100

SCM Big Data Predictive Analytics Software Supply Chain Network Software 100

Supply Chain Shaman

OCTOBER 29, 2014

The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. In addition, I am now done with the page proofs for my new book, Metrics that Matter. The book is a story. We hope to see you there!

Supply Chain Planning Software 313

Supply Chain Planning Software Modeling Demand Planning Software Optimization Software 313

GlobalTranz

AUGUST 31, 2018

The emergence of cloud-based platforms and Big Data increases forecast accuracy, eliminates unnecessary stock, and achieves truly optimized slotting designs. Big Data can analyze picking performance and identify best practices to increase performance, effectively reducing the amount of on-hand inventory needed at any given time.

Supply Chain Design Software 121

Supply Chain Design Software Warehousing Analytics Software Forecasting Software 121

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. Data Quality Challenges Data quality plays a pivotal role in the success of any analytics initiative.

Analytics Software 52

Analytics Software Quality Security Analytics 52

BlueYonder

JUNE 3, 2024

“I think you can also get distracted by big data volumes,” Ivanyi points out. There’s so much data available, but which data is relevant? Collect and apply the data that’s related to your key improvement targets.” “A A closely related problem is having too many metrics and KPIs,” Ivanyi continues.

Supply Chain Software 100

Supply Chain Software DC Logistics Network Optimization Software Eliminating Excel in Purchasing 100

Pivot88

NOVEMBER 23, 2020

This is why data quality management is so important: A combination of the right people, processes and technologies, all with the common goal of improving the quality of your data and determining the data metrics that matter most to your company. Big data: Big data is very different from old school data management.

Supply Chain Planning Software 52

Supply Chain Planning Software Demand Planning Software Supply Chain Software Gartner 52

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 178

Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain Supply Chain Strategy 178

Supply Chain Shaman

OCTOBER 11, 2023

We speak about the need to move from a functional understanding to a global, holistic capabilities, but the traditional supply chain leader defines bonus incentives and process performance goals based on functional metrics. Measurement. Organizations speak of the bullwhip, but don’t measure it or monitor the effects.

Supply Chain Planning Software 394

Supply Chain Planning Software Supply Chain Software Forecasting Software Supply Chain Network Software 394

Logility

DECEMBER 28, 2020

Specifically, practitioners can use intuitive displays to drill into safety metrics, product quality, on-time delivery, cost efficiency, and much more. The term of art is data warehousing. Here are some common advanced analytics use cases for manufacturers. Quality Control. Separate trends from one-off outliers. Life Cycle Maintenance.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Manufacturing Analytics Software 130

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. We are currently doing research on the evolution of new forms of analytics in the hype cycle that many people refer to as Big Data , and we are completing our survey on digital manufacturing.

Manufacturing Procurement 286

Manufacturing Procurement Optimal Sourcing Procurement Analytics Modeling 286

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

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 98

Manufacturing Procurement Sourcing Strategies Inventory Reduction Cost Reduction Strategies 98

Supply Chain Shaman

JUNE 6, 2013

Closing the gaps happens when there are aligned metrics, clarity of vision and aligned planning processes. Metrics Alignment. As a result, they never look at metrics in isolation of each other, and try to build the overall potential of the system focusing on alignment and balance. They lack cohesion. I hope that this helps.

Supply Chain Planning Software 280

Supply Chain Planning Software Supply Chain Planning Optimal Sourcing Scenario Planning 280