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The post Predictive Analytics: Promising or Scary? “Big Data is both an over-hyped buzzword and a real trend,” writes Gregory Piatetsky (@kdnuggets), President of KDnuggets, “reflecting the … Continued. appeared first on Enterra Solutions. MORE
“What if you could predict what products or services your customers wanted before they did,” asks Dr. James Canton (@futureguru), … Continued. The post Predictive Analytics: Businesses’ Crystal Ball appeared first on Enterra Solutions. Artificial Intelligence Big Data Business Cognitive Computing Supply Chain Technology Enterra Solutions Stephen DeAngelis MORE
Artificial Intelligence (AI) and Predictive Analytics are also now increasingly being applied in order to make sense of, and best utilize all of these data sources, which are now clearly beyond the capability of human operators to manipulate, analyze, determine insights and then take action from in any kind of a timely manner. When it comes to examples of Predictive Analytics firms focused on supply chains Elementum and ClearMetal are just a couple that come to mind. MORE
And while unplanned disruptions will always occur, the emergence of newer technologies provides the ability to predict potential future disruptions and act on them accordingly, moving to a more proactive view of visibility. TransVoyant is at the forefront of the predictive analytics space. Their proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies achieve competitive advantage. MORE
Collecting and analyzing your organization’s historical data can be crucial for improving and streamlining processes, but applying predictive models to generate forward-looking insights can drive even further improvements. MORE
From a technology standpoint, you also need predictive analytics capabilities to intelligently match forward-looking capacity with available loads, and a framework that respects the confidentiality and data-sharing requirements of the network participants. 3PL Episode Highlights Supply Chain Technology Trends brokers Descartes MacroPoint logistics service providers predictive analytics real-time capacity matching MORE
Predictive analytics with omnichannel supply chain management make up one of the most in-demand topics in modern supply chain management, but it only functions when a thorough, integrated process for data collection, identification, and analysis exists MORE
The predictive analytics of the past are becoming more apt and intellectual, powering a new age in manufacturing. Additionally, major manufacturers are working to prioritize predictive analytics and use them to improve production. Supply chain models are evolving. MORE
Today, in addition to those activities, new analytical tools are available to help business leaders predict what could happen in the future. Petro goes on to predict companies failing to grasp the future risk ending up in history’s dustbin. ” Types of analytics. Predictive analytics — the type of analytics to which Petro refers — are one of four types of analytics now available to enterprises. Descriptive analytics. MORE
According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey, the use of predictive analytics was set to double by 2018 MORE
Can you give some examples of how predictive analytics can drive improvement in final mile delivery? Podcast version (click to play): The post Final Mile Delivery: How Predictive Analytics Can Drive Improvement appeared first on Talking Logistics with Adrian Gonzalez. MORE
The automotive manufacturing supply chain has become almost too massive to manage, leaving manufacturers and suppliers with the challenge of finding qualified workers with the skills to identify and prevent quality risks MORE
In front of the bustling audience, our product director, Andy Hawkins, presented his vision on ‘AI, Machine Learning & Predictive Analysis: Buzzwords or business benefit?’, The post Artificial Intelligence & Predictive Analytics – Buzzwords or Business Benefits? MORE
We met at the United Club in Chicago, as he was on his way back from a visit with Honda, and met to discuss the upcoming study I will be working on with him on procurement analytics for the Center for Advanced Purchasing Studies later this summer. We had a chance to catch up on a great number of things, but one that sticks in my mind is the discussion on predictive analytics and forecasting. MORE
Our Business Development Director from APAC, James Hargraves , was one of the speakers at the summit and presented his vision on “Predictive Analytics in Supply Chain Management.” The post Predictive Analytics in Supply Chain Management appeared first on Adjuno. MORE
The key to answering those to questions: actionable data and predictive analytics. Predictive Analytics Enabling Risk Mitigation. It has certainly been evident this year that natural disasters can significantly disrupt the supply chain. MORE
As manufacturing companies become increasingly complex and begin leveraging more data, the role of advanced analytics in business planning processes is slowly becoming a necessity. Prescriptive Analytics Advanced Analytics predictive analytics MORE
In today’s data-driven world, we’ve become accustomed to companies predicting what we need even before we think we need them. Similarly, Netflix can predict the type of movies that you might enjoy based on your previous TV watching habits. Companies such as Netflix and Amazon take advantage of predictive and prescriptive analytics to increase customer engagement and sales. Events Predictive analytics webinar MORE
First, let's look at the origin of the words: forecast is a Germanic word, whereas predict is a Latin word. Predicting is Latin. Predictive Analytics takes a similar, more humanistic approach. Predict the Actor, not the Widget. View From The Ridge: 69. MORE
Here are some tips on how to enable end-to-end visibility across your enterprise: Sense and respond are critical processes for supply chain visibility and can only be achieved through a collaborative network that is coupled with robust business process orchestration and advanced analytics. MORE
So, let’s take a look at how our predictions for the first four manufacturing technology trends (Predictive analytics, 3D Printing, and VR) to watch for in 2016 stacked up. Predictive Analytics Became Commonplace to Manufacturing. The use of predictive analytics has the potential to dramatically reduce expenses in the manufacturing sector, particularly with respect to proactive machine maintenance. MORE
Michel Plourde, Systems Director at ArcelorMittal Canada, recently briefed ARC Advisory Group about the supply chain challenges surrounding the company’s decision in 2012 to expand its iron ore pellet production in Canada. These challenges largely involved eliminating logistics bottlenecks created by an inability to adapt quickly to disruptions and changes to plans. MORE
What is predictive analytics? 5 predictions on the impact that predictive analytics will have on the future of procurement. What procurement leaders should be thinking about as they consider building greater data and analytic capabilities. I was recently interviewed by Phillip Ideson of the “Art of Procurement” webcast. I met Phillip at the ISM Global Procurement Tech Summit about a month ago, and he invited me to join the show. MORE
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. Predictive maintenance is probably one of the best-known applications of predictive analytics and Big Data. MORE
How can technology, specifically transportation management systems and predictive analytics, help shippers and third-party logistics providers (3PLs) excel in this area? Karen says, “Predictive analytics can help shippers and transportation companies to analyze past trends, including delivery times, quality and costs, to estimate future needs, to evaluate which couriers to use, and to reroute or change delivery times for better efficiency and service.”. MORE
The Hackett Group provides a useful visual for describing the maturity stages that supply chain is moving through as the industry strives to leverage data and advanced analytics. Supply Chain Analytics Maturity Model (Source: Hackett Group). Descriptive Analytics (What happened?). MORE
Most people are familiar with predictive analytics. In short, predictive is there to answer the question “what is the likelihood that x, y, or z will happen based on the data I have?”. While this is a useful — and in many cases essential — question to answer, the main limitation of predictive analytics isn’t the analytics itself…It’s how a business responds when the “likelihood” of a good/bad event occurring reaches a certain threshold that requires action. MORE
So, too, has real-time visibility with predictive analytics crossed the threshold from nice-to-have to need-to-have. Thanks to the Amazon effect, B2B customers crave the insights predictive analytics offers as much as end-consumers expecting a shipment do. Supply chain leaders worldwide struggle to verify that a visibility vendor can achieve predictive analytics. MORE
Prescriptive Analytics Supply Chain Optimization Integrated Business Planning predictive analytics MORE
« Managing After-Sales Service by coupling CRM and Asset Management | Main | Adding intelligence in the Forecasting process to support Supply Chain Segmentation » Use of Predictive Analytics in Supply Chain. Predictive analytics uses several techniques to analyze past events to make predictions about future. Predictive technology can also help to increase in cross sales or sell additional products to customers. About Us. Contact Us. MORE
Are you up to date with how predictive analytics and machine learning could help your business? Advanced Analytics predictive analytics Machine Learning MORE
In logistics, we have not seen all that many examples of Big Data analytics. Business Intelligence Logistics Technologies Big Data logistics ocean Predictive IntelligenceBut it is clear we will see many more solutions in the not so distant future. MORE
The system should provide the opportunity to look forward and offer predictive analytic guidance about what likely could take place, as well as prescriptive guidance on what actions would be best to take. It’s been a busy week and I forgot to charge my Fitbit. MORE
The Power of Predictive Analytics. The use of predictive analytics is rising. In a recent Supply & Demand Chain Executive webinar , we took a deeper dive on how predictive analytics such as demand sensing can help control volatility. MORE
Predictive analytics is still relatively new in procurement, but it’s increasingly important, particularly in organizations that have already been through the cycle of spend analytics, supplier leveraging, segmentation, and consolidation. Prediction requires a deep understanding of the technical and commercial attributes of the supply chain ecosystem, as well as advanced statistical and modeling capabilities. MORE
Predictive analytics is a topic you are likely to hear a lot more about in the years ahead. Predictive analytics … Continued. The post Predictive Analytics becoming a Mainstream Business Tool appeared first on Enterra Solutions. MORE
The Power of Predictive Analytics. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years. In a recent Supply & Demand Chain Executive webinar , we took a deeper dive on how predictive analytics such as demand sensing can help control volatility. MORE
3PL Logistics Supply Chain big data predictive analytics third-party logisticsIt takes a lot of data to make a good decision. And for decision making within the supply chain, big data can provide insights for companies and enable them to make better decisions. Big data is defined as extremely large datasets, structured and unstructured, that reveal patterns, trends and correlations. MORE
Predictive Analytics Related Topics Cerasis
MARCH 16, 2016
The predictive analytics of the past are becoming more apt and intellectual, powering a new age in manufacturing. Additionally, major manufacturers are working to prioritize predictive analytics and use them to improve production. Supply chain models are evolving.
Enterra Insights
APRIL 25, 2019
Today, in addition to those activities, new analytical tools are available to help business leaders predict what could happen in the future. Petro goes on to predict companies failing to grasp the future risk ending up in history’s dustbin. ” Types of analytics. Predictive analytics — the type of analytics to which Petro refers — are one of four types of analytics now available to enterprises. Descriptive analytics.
Talking Logistics
JULY 2, 2018
How can technology, specifically transportation management systems and predictive analytics, help shippers and third-party logistics providers (3PLs) excel in this area? Karen says, “Predictive analytics can help shippers and transportation companies to analyze past trends, including delivery times, quality and costs, to estimate future needs, to evaluate which couriers to use, and to reroute or change delivery times for better efficiency and service.”.
Enterra Insights
APRIL 30, 2015
Predictive analytics is a topic you are likely to hear a lot more about in the years ahead. Predictive analytics … Continued. The post Predictive Analytics becoming a Mainstream Business Tool appeared first on Enterra Solutions.
Talking Logistics
MARCH 5, 2019
So, too, has real-time visibility with predictive analytics crossed the threshold from nice-to-have to need-to-have. Thanks to the Amazon effect, B2B customers crave the insights predictive analytics offers as much as end-consumers expecting a shipment do. Supply chain leaders worldwide struggle to verify that a visibility vendor can achieve predictive analytics.
Enterra Insights
MARCH 24, 2015
The post Predictive Analytics: Promising or Scary? “Big Data is both an over-hyped buzzword and a real trend,” writes Gregory Piatetsky (@kdnuggets), President of KDnuggets, “reflecting the … Continued. appeared first on Enterra Solutions.
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E2open
AUGUST 30, 2016
The Power of Predictive Analytics. The use of predictive analytics is rising. In a recent Supply & Demand Chain Executive webinar , we took a deeper dive on how predictive analytics such as demand sensing can help control volatility.
Enterra Insights
AUGUST 3, 2016
“What if you could predict what products or services your customers wanted before they did,” asks Dr. James Canton (@futureguru), … Continued. The post Predictive Analytics: Businesses’ Crystal Ball appeared first on Enterra Solutions. Artificial Intelligence Big Data Business Cognitive Computing Supply Chain Technology Enterra Solutions Stephen DeAngelis
E2open
AUGUST 30, 2016
The Power of Predictive Analytics. According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey , the use of predictive analytics will double by 2018, with 46% of companies planning to use advanced analytics to sense and shape demand within the next two years. In a recent Supply & Demand Chain Executive webinar , we took a deeper dive on how predictive analytics such as demand sensing can help control volatility.
River Logic
MARCH 6, 2019
Prescriptive Analytics Supply Chain Optimization Integrated Business Planning predictive analytics
Supply Chain 24/7
SEPTEMBER 23, 2018
Predictive analytics with omnichannel supply chain management make up one of the most in-demand topics in modern supply chain management, but it only functions when a thorough, integrated process for data collection, identification, and analysis exists
|
Arkieva
APRIL 3, 2017
In today’s data-driven world, we’ve become accustomed to companies predicting what we need even before we think we need them. Similarly, Netflix can predict the type of movies that you might enjoy based on your previous TV watching habits. Companies such as Netflix and Amazon take advantage of predictive and prescriptive analytics to increase customer engagement and sales. Events Predictive analytics webinar
Adjuno
JANUARY 10, 2019
Our Business Development Director from APAC, James Hargraves , was one of the speakers at the summit and presented his vision on “Predictive Analytics in Supply Chain Management.” The post Predictive Analytics in Supply Chain Management appeared first on Adjuno.
Supply Chain Brain
MARCH 17, 2019
The automotive manufacturing supply chain has become almost too massive to manage, leaving manufacturers and suppliers with the challenge of finding qualified workers with the skills to identify and prevent quality risks
Supply Chain Nation
DECEMBER 5, 2017
3PL Logistics Supply Chain big data predictive analytics third-party logisticsIt takes a lot of data to make a good decision. And for decision making within the supply chain, big data can provide insights for companies and enable them to make better decisions. Big data is defined as extremely large datasets, structured and unstructured, that reveal patterns, trends and correlations.
Logistics Viewpoints
SEPTEMBER 8, 2016
Michel Plourde, Systems Director at ArcelorMittal Canada, recently briefed ARC Advisory Group about the supply chain challenges surrounding the company’s decision in 2012 to expand its iron ore pellet production in Canada. These challenges largely involved eliminating logistics bottlenecks created by an inability to adapt quickly to disruptions and changes to plans.
Supply Chain Nation
APRIL 7, 2017
And while unplanned disruptions will always occur, the emergence of newer technologies provides the ability to predict potential future disruptions and act on them accordingly, moving to a more proactive view of visibility. TransVoyant is at the forefront of the predictive analytics space. Their proprietary machine learning algorithms analyze these massive big data streams in real-time to produce live and predictive insights that help companies achieve competitive advantage.
Talking Logistics
OCTOBER 30, 2017
The key to answering those to questions: actionable data and predictive analytics. Predictive Analytics Enabling Risk Mitigation. It has certainly been evident this year that natural disasters can significantly disrupt the supply chain.
Talking Logistics
JUNE 22, 2018
Can you give some examples of how predictive analytics can drive improvement in final mile delivery? Podcast version (click to play): The post Final Mile Delivery: How Predictive Analytics Can Drive Improvement appeared first on Talking Logistics with Adrian Gonzalez.
Adjuno
JANUARY 10, 2019
In front of the bustling audience, our product director, Andy Hawkins, presented his vision on ‘AI, Machine Learning & Predictive Analysis: Buzzwords or business benefit?’, The post Artificial Intelligence & Predictive Analytics – Buzzwords or Business Benefits?
Talking Logistics
APRIL 4, 2019
Collecting and analyzing your organization’s historical data can be crucial for improving and streamlining processes, but applying predictive models to generate forward-looking insights can drive even further improvements.
NC State SCRC
MAY 10, 2016
What is predictive analytics? 5 predictions on the impact that predictive analytics will have on the future of procurement. What procurement leaders should be thinking about as they consider building greater data and analytic capabilities. I was recently interviewed by Phillip Ideson of the “Art of Procurement” webcast. I met Phillip at the ISM Global Procurement Tech Summit about a month ago, and he invited me to join the show.
Blue Ridge
AUGUST 12, 2016
First, let's look at the origin of the words: forecast is a Germanic word, whereas predict is a Latin word. Predicting is Latin. Predictive Analytics takes a similar, more humanistic approach. Predict the Actor, not the Widget. View From The Ridge: 69.
NC State SCRC
FEBRUARY 27, 2018
Predictive analytics is still relatively new in procurement, but it’s increasingly important, particularly in organizations that have already been through the cycle of spend analytics, supplier leveraging, segmentation, and consolidation. Prediction requires a deep understanding of the technical and commercial attributes of the supply chain ecosystem, as well as advanced statistical and modeling capabilities.
Supply Chain Network
APRIL 5, 2018
Artificial Intelligence (AI) and Predictive Analytics are also now increasingly being applied in order to make sense of, and best utilize all of these data sources, which are now clearly beyond the capability of human operators to manipulate, analyze, determine insights and then take action from in any kind of a timely manner. When it comes to examples of Predictive Analytics firms focused on supply chains Elementum and ClearMetal are just a couple that come to mind.
River Logic
NOVEMBER 30, 2018
Most people are familiar with predictive analytics. In short, predictive is there to answer the question “what is the likelihood that x, y, or z will happen based on the data I have?”. While this is a useful — and in many cases essential — question to answer, the main limitation of predictive analytics isn’t the analytics itself…It’s how a business responds when the “likelihood” of a good/bad event occurring reaches a certain threshold that requires action.
Talking Logistics
APRIL 17, 2018
The Hackett Group provides a useful visual for describing the maturity stages that supply chain is moving through as the industry strives to leverage data and advanced analytics. Supply Chain Analytics Maturity Model (Source: Hackett Group). Descriptive Analytics (What happened?).
River Logic
AUGUST 8, 2017
Are you up to date with how predictive analytics and machine learning could help your business? Advanced Analytics predictive analytics Machine Learning
NC State SCRC
MAY 16, 2016
We met at the United Club in Chicago, as he was on his way back from a visit with Honda, and met to discuss the upcoming study I will be working on with him on procurement analytics for the Center for Advanced Purchasing Studies later this summer. We had a chance to catch up on a great number of things, but one that sticks in my mind is the discussion on predictive analytics and forecasting.
Talking Logistics
SEPTEMBER 13, 2016
Here are some tips on how to enable end-to-end visibility across your enterprise: Sense and respond are critical processes for supply chain visibility and can only be achieved through a collaborative network that is coupled with robust business process orchestration and advanced analytics.
Supply Chain 24/7
JUNE 25, 2018
According to KPMG’s 2016 Global Consumer Executive Top of Mind Survey, the use of predictive analytics was set to double by 2018
Talking Logistics
JULY 19, 2018
From a technology standpoint, you also need predictive analytics capabilities to intelligently match forward-looking capacity with available loads, and a framework that respects the confidentiality and data-sharing requirements of the network participants. 3PL Episode Highlights Supply Chain Technology Trends brokers Descartes MacroPoint logistics service providers predictive analytics real-time capacity matching
Logistics Viewpoints
FEBRUARY 29, 2016
In logistics, we have not seen all that many examples of Big Data analytics. Business Intelligence Logistics Technologies Big Data logistics ocean Predictive IntelligenceBut it is clear we will see many more solutions in the not so distant future.
Talking Logistics
MARCH 17, 2016
The system should provide the opportunity to look forward and offer predictive analytic guidance about what likely could take place, as well as prescriptive guidance on what actions would be best to take. It’s been a busy week and I forgot to charge my Fitbit.
synchrono
OCTOBER 16, 2017
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. Predictive maintenance is probably one of the best-known applications of predictive analytics and Big Data.
Infosys Supply Chain Management
FEBRUARY 4, 2013
« Managing After-Sales Service by coupling CRM and Asset Management | Main | Adding intelligence in the Forecasting process to support Supply Chain Segmentation » Use of Predictive Analytics in Supply Chain. Predictive analytics uses several techniques to analyze past events to make predictions about future. Predictive technology can also help to increase in cross sales or sell additional products to customers. About Us. Contact Us.
River Logic
MAY 11, 2016
As manufacturing companies become increasingly complex and begin leveraging more data, the role of advanced analytics in business planning processes is slowly becoming a necessity. Prescriptive Analytics Advanced Analytics predictive analytics
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