Enterra Insights

NOVEMBER 22, 2021

One answer is advanced analytics. Big Data and Advanced Analytics. Johnston notes that a rapid rise in e-commerce during the pandemic — “ten years growth in just the first three months of 2020” — made it “apparent that predicting future supply chain demand using outdated data is no longer feasible.”

Supply Chain Planning Software 130

Supply Chain Planning Software Prescriptive Analytics Software Supply Chain Design Software Supply Chain Software 130

Logility

DECEMBER 28, 2020

By using advanced analytics for manufacturing, to understand the valuable information concealed within the data they already have! Advanced analytics for manufacturing is a good place to start. Here are some common advanced analytics use cases for manufacturers. How can manufacturers manage disruption and improve productivity?

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Manufacturing Analytics Software 130

Supply Chain Shaman

MARCH 12, 2019

The IT taxonomy for visibility is supply chain analytics. As you implement supply chain analytics and use control theory with well-defined reference data with clear bands for control, process improvement ensues. These sources while functional are difficult to connect. The team was seeking analytics to monitor process compliance.

Prescriptive Analytics Software 173

Prescriptive Analytics Software Manufacturing Procurement Procurement Analytics Analytics Software 173

Intelligent Audit

SEPTEMBER 17, 2020

The best way to gain this visibility is through advanced analytics and robust reporting. The report outlined several use-cases of Advance Analytics in Transportation. Analytics to Reduce Transportation Spend. Shippers absolutely need advanced analytics, and the research clearly proves it.

Prescriptive Analytics Software 52

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 52

Savi

FEBRUARY 5, 2019

Intermodal Transportation Landscape In a 2017 American Shipper Report on global sourcing, 58% of shippers indicated that their biggest concern today is rising intermodal transportation costs. It’s important to note that the volume, quality, and order of data have a significant impact on how accurate analytics are for the end user.

Prescriptive Analytics Software 45

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 45

Enterra Insights

SEPTEMBER 6, 2018

Big data is both wide and deep and skimming the surface never provides the insights that can be obtained through advanced analytics. ”[3] To ensure companies don’t drown in an ocean of data, they recommend using advanced analytics. .”[3] The usefulness of advanced analytics. Descriptive Analytics.

Prescriptive Analytics Software 100

Prescriptive Analytics Software Data Predictive Analytics Analytics Software 100

Arkieva

JANUARY 17, 2017

What supply chain technology trends are set to revolutionize your supply chain in 2017 and beyond? As 2017 comes into focus, several key technological initiatives are topping corporate agendas. Here are 7 Supply Chain Technology Trends for 2017. Big Data Analytics. Customer-Centric Investments. Going to the Cloud.

Supply Chain Planning Software 60

Supply Chain Planning Software Supply Chain Software Analytics Software Modeling Software 60

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?). Predictive Analytics (What will happen?).

Prescriptive Analytics Software 115

Prescriptive Analytics Software Supply Chain Design Software Supply Chain Software Supply Chain Planning Software 115

Logistics Viewpoints

DECEMBER 5, 2022

A multi-enterprise supply chain network platform provides network-based order fulfillment applications and advanced network-based supply chain risk analytics. In one major case in 2017, the Hanjin Shipping company was declared bankrupt by South Korean courts. That increases the value of the analytics used by the procurement team.

Agile and Lean Supply Chain 196

Agile and Lean Supply Chain Rail Software Manufacturing Procurement Supply Chain Planning Software 196

Supply Chain Shaman

JUNE 23, 2020

Let’s celebrate that over the last two years, there were four significant acquisitions by traditional supply chain planning providers to deepen analytics capabilities: 07/2018 JDA purchases Blue Yonder (Purchase price confidential.). 11/2017 Logility acquires Halo for 9.3 This is no longer true.

Supply Chain Design Software 283

Supply Chain Design Software Supply Chain Planning Software Analytics Software Optimization Software 283

AFFLINK

DECEMBER 19, 2017

Here are the five supply chains that exemplified these qualities and shined brightly in 2017. They were able to reduce costs and inefficiency in their supply chain through digital customer logistics, planning, purchasing analytics, and strong industrial productivity. Cheers to 2017. Cisco Systems.

Supply Chain Design Software 48

Supply Chain Design Software Supply Chain Planning Software Waste Reduction Cost Reduction Strategies 48

DELMIA Quintiq

JUNE 20, 2018

Natural gas is a suitable source of energy to fuel the need for heat and the power, making it an influential player on the market. The demand is predicted to be growing at a rate of 1% globally until 2050. – Bernard Looney, CEO Upstream, BP. Low carbon sources and natural gas meet 85% of the increase in global demand.

Trends 176

Trends Sourcing Strategies Optimal Sourcing Supply Chain Software 176

Talking Logistics

FEBRUARY 17, 2017

Exclusive: Wal-Mart to tear down walls between store, online buying operations – sources (Reuters). One of my predictions for this year was that investors will continue to see opportunities in Supply Chain Operating Networks, based on various mergers and acquisitions over the past couple of years.

Logistics Network Optimization Software 0

Logistics Network Optimization Software Supply Chain Planning Software Supply Chain Network Software Analytics Software 0

Resilinc

JUNE 7, 2022

The agency predicts up to 21 named storms, six to 10 hurricanes and three to six major hurricanes, the latter distinguished by sustained winds of 111 mph or higher. How this season will compare to 2017—the costliest Atlantic hurricane season on record—is impossible to predict.

Supply Chain Planning Software 62

Supply Chain Planning Software Supply Chain Strategy Supply Chain Software Supply Chain Planning 62

Enterra Insights

SEPTEMBER 1, 2022

… This is the next wave of analytic innovation.” ” The Importance of Cognitive Analytics. And that is precisely what transpired when we saw the advent of cognitive analytics. … The beauty of cognitive analytics is that it takes into consideration all types of data with its full context.”[4]

Prescriptive Analytics Software 130

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 130

Enterra Insights

JUNE 1, 2021

Back in 2017, Andrew Busby ( @andrewbusby ), Founder and CEO of Retail Reflections, declared, “Cognitive computing is forever changing how we shop. 4] • Forecasting : Paul Winsor ( @PaulWinsor1969 ), general manager of retail at DataRobot, observes, “The really impactful part [of cognitive analytics] is around forecasting.

Supply Chain Design Software 130

Supply Chain Design Software Supply Chain Planning Software Analytics Software Supply Chain Software 130

Enterra Insights

JUNE 30, 2022

” They also found, “Companies increasingly have access to the advanced data analytics and best practices necessary to make their supply chains more resilient.” The previous record for billion-dollar events in a year was 16, in 2017 and 2011. ” Supply Chain Climate Change Risks are Rising. In 2021, the U.S.

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Design Software Supply Chain Planning Supply Chain Design 130

Enterra Insights

MARCH 2, 2021

When there are diverse, changing data sources (e.g., When not to use Cognitive Computing : When predictable, repeatable results are required (e.g., When all data is structured, numeric and predictable. 5] Because data comes from a variety of sources and in a multitude of formats, it needs to be digitized.

Analytics Software 100

Analytics Software Predictive Analytics Software Supply Chain Design Software Supply Chain Planning Software 100

Enterra Insights

MAY 31, 2022

But in an increasingly digital world, extending beyond enterprise boundaries from sourcing to customer engagement is now essential to achieve sustained competitive advantage.”[3]. Not surprisingly, companies that employ advanced analytics to improve decision making and execution have the results to show for it.” ”[3].

Supply Chain Software 130

Supply Chain Software Supply Chain Optimization Modeling Supply Chain 130

ToolsGroup

MAY 10, 2017

Source: Gartner Research, 2017. Financial impact analysis and planning (including predictive financial reports). Performance management and analytics (via scorecards and dashboards). Source: Gartner for Supply Chain Leaders Toolkit, 2014. Other high priority capabilities include: Support for global deployments.

S&OP 213

S&OP Supply and Demand Gartner Supply Chain Planning Software 213

Supply Chain Matters

AUGUST 30, 2023

Redwood Materials was founded by former Tesla Co-Founder and Chief Technology Officer JB Straubel in 2017. Redwood has indicated a commitment to solving the ability to source battery anode and cathode components in the United States and producing them from an increasing amount of recycled content.

Supply Chain Planning Software 59

Supply Chain Planning Software Supply Chain Software Prescriptive Analytics Software Analytics Software 59

Talking Logistics

JUNE 29, 2017

As I wrote two years ago in my supply chain and logistics predictions for 2015 : Historically, Supply Chain Design was an exercise companies undertook at most once a year, or when a significant change occurred in their supply chain, such as an acquisition. Source: LLamasoft. What would this “next generation solution” be?

Supply Chain Design Software 60

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Supply Chain Planning 60

Enterra Insights

AUGUST 6, 2019

According to the survey, “Big-data analytics and other technologies are dramatically improving productivity in the global supply chain.”[2] Through self-learning and natural language, AI capabilities can help automate various supply chain processes such as demand forecasting, production planning or predictive maintenance.”

Supply Chain Planning Software 100

Supply Chain Planning Software Supply Chain Design Software Prescriptive Analytics Software Supply Chain Software 100

Shipsy

JUNE 20, 2017

With an ever increasing focus on innovation and efficiency in the supply chain, Gartner’s Top 25 Supply Chain Rankings 2017 threw up a host of interesting takeaways. Key Trends in Gartner Top 25 Supply Chain Rankings 2017 (Source?—?Gartner) Cost of goods sold/quarterly average inventory Revenue growth?—?Change

Gartner 40

Gartner Agile and Lean Supply Chain Supply Chain Strategy Sourcing Strategies 40

Supply Chain Game Changer

JANUARY 21, 2021

This is why there is such a high focus on digital transformation, adoption of analytics, and automation/cognitive procurement technologies. As seen in the graphic below, 75% of CPOs have already begun to invest in Data Analytics whilst 62% plan to invest in Automation & 64% plan to invest in AI technology in the coming years.

Optimal Sourcing 85

Optimal Sourcing Procurement Data Supply Chain Planning Software 85

Enterra Insights

MAY 22, 2018

Cognitive computing is a sub-set of artificial intelligence (AI) combining machine learning, natural language processing, and advanced analytics. Advanced Analytics. The common thread in areas discussed above is advanced analytics. ” Predictive analytics : “This ‘predicts’ the future.

Supply Chain Planning Software 100

Supply Chain Planning Software Prescriptive Analytics Software Supply Chain Software Analytics Software 100

Enterra Insights

JULY 31, 2019

Generally speaking, supply chain professionals will likely agree that a digital supply chain is essentially summed up as this: data is collected from various sources along the supply chain and integrates that data to improve and reshape supply chain processes.”[2] Good analytics begin with good data. ”[5].

Supply Chain Planning Software 100

Supply Chain Planning Software Analytics Software Supply Chain Software Predictive Analytics Software 100

NC State SCRC

FEBRUARY 20, 2023

The APIs mentioned by IBM’s PoV focus more on improving the flow of transactions than on predictive analytics that aims to mitigate supply chain risks, and the current state of data sharing in the supply chain is generally inefficient, slow, and lacking in standards. Any firm with a database (Oracle, MySQL, SQL Server, etc.)

Analytics Software 52

Analytics Software Supply Chain Planning Software Modeling Software Data 52

IQMS

JULY 11, 2019

McKinsey also found that AI-enhanced predictive maintenance of industrial equipment will generate a 10% reduction in annual maintenance costs, up to a 20% downtime reduction and 25% reduction in inspection costs. Source: Smartening up with Artificial Intelligence (AI) – What’s in it for Germany and its Industrial Sector?

Manufacturing Procurement 42

Manufacturing Procurement Optimal Sourcing Modeling Manufacturing 42

Enterra Insights

NOVEMBER 13, 2019

To address this, savvy businesses have been experimenting with multiple disruptive technologies for quite some time now, hence opening the doors to solutions that are driven by technologies like machine learning, the Internet of Things (IoT), automation, data analytics and more.”[1] ”[4]. The Internet of Things.

Logistics Network Optimization Software 100

Logistics Network Optimization Software Analytics Software Supply Chain Software Predictive Analytics Software 100

IQMS

OCTOBER 18, 2019

The algorithms iteratively query data with many using constraint-based modeling to find the core set of factors with the greatest predictive accuracy. One of the most challenging aspects of managing a supply chain is predicting the future demands for production. 15th, 2017 (PDF., no opt-in). no opt-in). no opt-in). no opt-in).

Supply Chain Planning Software 73

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Analytics Software 73

Enterra Insights

JULY 12, 2019

“Job openings have been growing at double-digit rates since mid-2017, and are nearing the historical peak recorded in 2001.” ” Prediction #2 : “25% of manufacturing planners will be talking to their systems by the end of 2020. ” Obviously, those are short-term predictions with long game implications.

Manufacturing Procurement 113

Manufacturing Procurement Industrial Industry Predictive Analytics Software 113

The Logistics & Supply Chain Management Society

NOVEMBER 14, 2021

In 2017 I also assumed responsibility for Field Services and in 2019 Data Excellence & Analytics embracing digital transformation driving our Tailored, Sustainable and Connected 4.0 This involves improving data excellence and analytical capabilities at all levels, as we strive towards Autonomous Supply Chains.

Sourcing Strategies 246

Sourcing Strategies Supply Chain Planning Software Optimal Sourcing Supply Chain Design Software 246

Enterra Insights

SEPTEMBER 8, 2020

In spite all of its advantages, data carries a certain amount of baggage that other sources of wealth don’t. Cognitive solutions, like the Enterra Global Insights and Optimization System , can leverage data from a wide array of sources to help companies keep up with changing conditions. ”[2]. Making the most of big data.

Big Data 100

Big Data Data Prescriptive Analytics Software Predictive Analytics Software 100

Enterra Insights

DECEMBER 10, 2019

She cited a 2017 Cisco survey that found 75% of IIoT projects fail. Each and every industry must adopt new and inventive methods like IoT and machine learning to analyze transactions and data in any form whether it’s a car that can detect driver fatigue, preventive maintenance sensors, or nanotechnology to monitor food sources.”[4]

Optimal Sourcing 100

Optimal Sourcing Industrial Industry Cost Reduction Strategies 100