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. 2] Michael C.

Big Data 147

Big Data Analytics Software Predictive Analytics Analytics 147

GlobalTranz

DECEMBER 29, 2015

We continue our series on the most read articles from the Cerasis blog for 2015 today by featuring any of the blogs in the transportation management or transportation categories. . We will then conclude the 5 main categories by featuring the top 10 freight articles of 2015. We list them in order of the tenth most read to the most read.

Transportation Management 120

Transportation Management Transportation Cost Reduction Strategies Sourcing Strategies 120

Enterra Insights

FEBRUARY 22, 2021

Geoffrey Moore ( @geoffreyamoore ), an American Management Consultant and Author, once stated, “Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” He insists, “The world is one big data problem.” ” What is big data?

Big Data 113

Big Data Data Analytics Software Predictive Analytics Software 113

Supply Chain Shaman

NOVEMBER 20, 2014

At the end of 2014, many leaders that I work with are preparing their 2015 strategies. 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). In 2015, why not put aside some money for testing? e-commerce.

Analytics Software 291

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

Enterra Insights

APRIL 24, 2019

There has been an enormous amount of hype about big data. The World Economic Forum declared big data a valuable resource like oil or gold. Extracting value from big data can also be difficult and many companies have reported their big data projects have failed or produced disappointing results.

Big Data 100

Big Data Data Analytics Software Supply Chain Network Software 100

Enterra Insights

SEPTEMBER 22, 2021

” Analysts from the Boston Consulting Group (BCG) add, “Over the past decade, public and private sources have dedicated impressive amounts of energy and resources to digital agriculture in developing countries.”[2] Big Data and Artificial Intelligence. artificial intelligence). revolution. Footnotes. [1]

Analytics Software 130

Analytics Software Predictive Analytics Software Supply Chain Network Software Forecasting Software 130

Enterra Insights

OCTOBER 22, 2020

Many executives are finding the only way to keep up with these dramatic changes is by gathering and analyzing big data. ”[1] Devansh Sharma, Global Head of Products Strategy for Skoruz Technologies, agrees that big data analytics will become even more important in the post-pandemic world. ” Footnotes. [1]

Big Data 113

Big Data Prescriptive Analytics Software Analytics Software Predictive Analytics 113

Enterra Insights

SEPTEMBER 15, 2022

Cooper adds, “Placing data and analytics at the center of a digital transformation strategy will allow businesses to take advantage of big data.” Knowing that, and how to combine it with external data sources, allows you to build and maintain a uniquely competitive business asset for your organization.

Analytics Software 147

Analytics Software Sourcing Strategies Supply Chain Design Software Demand Planning Software 147

Enterra Insights

JANUARY 11, 2024

Burton and Vreeswijk insist there are other benefits of obtaining the right data and increasing visibility as well. Sourcing decisions will be based more upon resilience, rather than merely minimizing costs. Mankins and Lori Sherer, “ Creating value through advanced analytics ,” Bain Brief, 11 February 2015. 5] Michael C.

Supply Chain Design Software 130

Supply Chain Design Software Optimal Sourcing Supply Chain Software Supply Chain Optimization 130

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

Supply Chain Shaman

NOVEMBER 11, 2020

The discipline, first defined in 1982, includes source, make, deliver, and planning functions. On September 30, the big data company Palantir went public in an initial 22B$ market valuation. I am frequently asked, “Can a big data data science company help to alleviate the current market pain in the supply chain?”

Supply Chain Design Software 297

Supply Chain Design Software Procurement Solutions Manufacturing Procurement Supply Chain Planning Software 297

Enterra Insights

SEPTEMBER 27, 2019

a business that leverages big data to its best advantage). Data is now considered the most valuable resource in the world and successful companies know how to get the most out their data. Extracting value from data requires a company to invest in advanced analytics capabilities. Use a single source of truth.

Big Data 113

Big Data Analytics Software Data Company 113

Supply Chain View from the Field

JANUARY 13, 2015

I sure called this one right…Globalization linked with increasing labor costs in countries such as China, as well as fuel costs and regulatory shifts, are driving a dramatic impact on where companies source, where they produce, and the complexity of processes required to sell to the customer. Cost Pressures Will Continue to Escalate.

Negotiating Skills 60

Negotiating Skills Predictive Analytics Predictive Analytics Software Supply Chain Planning Software 60

Enterra Insights

SEPTEMBER 21, 2023

This requires a distributed technology environment where every [person] can access the software development tools, data, and applications they need.” ” Gathering and democratizing the right data : “In established companies, data is often a source of frustration. 3] Michael C.

Prescriptive Analytics Software 245

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Supply Chain Design Software 245

Enterra Insights

MARCH 5, 2020

.”[2] Power and authority are often associated with knowledge — “knowledge is power” — and knowledge is often locked up in data. As a result, data in many organizations is stored in silos associated with the organizations managerial structure. ”[3]. Breaking organizational silos. Footnotes. [1] 4] Keith D.

Big Data 100

Big Data Analytics Software Modeling Software Data 100

EcoVadis

JANUARY 20, 2016

With 2015 now in the rear-view mirror, we can take stock of it as a year full of commitments, goals and guidance. In 2015 we saw the foundations laid for the global aspirations for sustainability and Corporate Responsibility. In January of 2015, GRI launched their Reporting 2025 initiative.

Optimal Sourcing 40

Optimal Sourcing Sustainability Procurement Supply Chain Network Software 40

IQMS

OCTOBER 18, 2019

Source: Machine Learning – A Giant Leap for Supply Chain Forecasting, Material Handling and Logistics Conference (PDF, 28 pp., Source: Machine Learning & AI in Transport and Logistics, Frank Salliau & Sven Verstrepen Logistics Meets Innovation Vlerick Brussels – Nov. no opt-in). 15th, 2017 (PDF., 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

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. About the Supply Chains to Admire Research.

Supply Chain Design Software 195

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

Enterra Insights

MARCH 2, 2020

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.”[2] ” Why? Footnotes. [1]

Internet of things 100

Internet of things Analytics Software Predictive Analytics Software Modeling Software 100

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

Enterra Insights

FEBRUARY 1, 2024

Younger people and older people often use different social media platforms, use different news sources, and frequent different stores. Kriegel explains, “Today, self-defining social networks and technological advances have made a huge amount of behavioral data available for ever-more targeted campaigns.

Sourcing Strategies 130

Sourcing Strategies Predictive Analytics Software Supply Chain Planning Software Supply Chain Network Software 130

Enterra Insights

MARCH 13, 2018

” The staff at CIO Review agrees big data analytics has become a differentiator for businesses. “The deluge of data in the market — structured and unstructured — such as market trends or customer behavior and preferences has made big data the latest buzzword in business echelons. ” Summary.

Prescriptive Analytics Software 100

Prescriptive Analytics Software Analytics Software Predictive Analytics Procurement Analytics 100

Enterra Insights

MARCH 1, 2019

Stepping stones between the two revolutions include the generation of big data, advanced computing, and the rise of digital manufacturing. Big data is the lifeblood of the digital age. Data is generated from ubiquitous sensors, the Internet, and mobile technologies. .” Some pundits believe Industry 4.0

Manufacturing Procurement 100

Manufacturing Procurement Optimal Sourcing Supply Chain Design Software Analytics Software 100

Enterra Insights

SEPTEMBER 26, 2023

Decision intelligence delivers early and immediate access to data and trends, driven by artificial intelligence and forward-looking predictive analysis and with a middleware layer capable of abstracting multiple sources of data to provide a single, unified view, and all of it delivered with a natural language interface.”

Optimal Sourcing 130

Optimal Sourcing Supply Chain Planning Software Modeling Modeling Software 130

Elementum

OCTOBER 6, 2022

They want a single source of truth that maps the steps of every process, assigns ownership, and defines due dates. Blockchain was all the craze circa 2015-2016, but supply chain operators realized earlier than most (~2018) that blockchain use cases weren’t yet ready for prime time. Instead, leaders want visibility and accountability.

Supply Chain Software 78

Supply Chain Software Supply Chain Supply and Demand Analytics Software 78

Elementum

OCTOBER 6, 2022

They want a single source of truth that maps the steps of every process, assigns ownership, and defines due dates. Blockchain was all the craze circa 2015-2016, but supply chain operators realized earlier than most (~2018) that blockchain use cases weren’t yet ready for prime time. Instead, leaders want visibility and accountability.

Supply Chain Software 78

Supply Chain Software Supply Chain Supply and Demand Analytics Software 78

Supply Chain Shaman

NOVEMBER 29, 2015

Hadoop is an open-source software framework written in Java for distributed storage and processing of large data sets on computer clusters. Hadoop splits files into large blocks and distributes the data over the nodes in the cluster. The data is not moved. (In Most consultants will say that the answer lies in Big Data.

Supply Chain Planning Software 0

Supply Chain Planning Software Supply Chain Design Software Forecasting Software Demand Planning Software 0

Enterra Insights

MARCH 4, 2022

An infographic prepared by Retail Aware reports that a survey found, “70% of CG executives [taking the survey] selected the inability to integrate data from multiple sources as the top analytics challenge.”[3] ”[3] Mastering data analytics is the sine qua non for success in the Digital Age. Footnotes. [1]

Packaging 130

Packaging Prescriptive Analytics Software Analytics Software Supply Chain Planning Software 130

Supply Chain Shaman

JUNE 9, 2016

In 2015 Insight acquired E2open, and Infor acquired GT Nexus. With the evolution of big data analytics, these Supply Chain Operating Network architectures are evolving: prescriptive and cognitive analytics enhanced by more advanced visualization and benchmarking. It is seldom positive for the line-of-business user.

Supply Chain Network Software 150

Supply Chain Network Software Prescriptive Analytics Software Supply and Demand Modeling 150

Enterra Insights

MAY 22, 2018

3] Like other AI tools, machine learning requires a lot of data. Banker explains, “For machine learning to work well, it needs to be a big data application.” ” To state it another way, there is a symbiotic relationship between big data and cognitive technologies. Footnotes. [1] 1] Michael C.

Supply Chain Planning Software 100

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

Enterra Insights

JUNE 1, 2023

According to Knepp, the biggest obstacle to improved AI solutions is figuring out how to share data. He explains, “The biggest barrier to having the new technology operate as a single platform is that AI is based on an open source of data collection. Why is this a barrier? 8] Michael C.

Supply Chain Software 130

Supply Chain Software Supply Chain Optimization Supply Chain Strategy Supply Chain 130

Supply Chain Shaman

JANUARY 18, 2016

For December 2015, retail sales were the lowest since 2009. To accomplish these processes, companies need to embrace big data architectures for streaming data. The data sets are larger and more complex. Figure 2: Big Data and Process Capabilities. What does this mean?

Supply Chain Planning Software 150

Supply Chain Planning Software Modeling Software Supply Chain Software Manufacturing Procurement 150

Enterra Insights

JANUARY 17, 2023

They write, “Increasingly complex and diverse data has made it difficult for organizations to manage and integrate data. In addition, new data sources and applications have created complexities. Organizations need to manage data in a way that allows them to maximize its value. ”[10]. Footnotes. [1]

Trends 231

Trends Analytics Software Predictive Analytics Predictive Analytics Software 231

GlobalTranz

MARCH 28, 2016

Using AI driven product nature of being and smart attributes, data can be structured to support the needs of ERP applications as well as strategic sourcing and Value Analysis activities , all from one data set.

Logistics Network Optimization Software 120

Logistics Network Optimization Software Optimization Software Inventory Management Software Modeling Software 120

Enterra Insights

JUNE 3, 2021

Tech writer George Lawton ( @glawton ) suggests a dozen “must-have big data analytics features that can help reduce the effort required by data scientists and other users to produce the desired results.”[6] Data exploration. Data management. Data governance. ”[6] Those features are: 1.

Prescriptive Analytics Software 130

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 130

Unleashed

APRIL 27, 2022

Circular vs linear supply chain The linear supply chain is the traditional method of sourcing raw materials to make a product and sell it to consumers, with its lifecycle ending when it is no longer functioning or fit for purpose anymore – and it becomes waste. So nothing goes to landfill.

Material Savings 96

Material Savings Waste Reduction Cost Reduction Strategies Resource Reduction 96

KEPLER Consulting

NOVEMBER 24, 2017

Sources: 1: Global Survey, Mc Kinsey, 2010/ 2: Supply Chain Impact Survey, Cap Gemini, 2013/ 3: Future of Supply Chain, SCM World, 2016. #2 Sources: 1: Future of Supply Chain, SCM World, 2016 /2: Global Supply Chain Survey, PwC, 2013 / 3: Supply Chain Impact Survey, Cap Gemini, 2013. #3 TRANSFORMATION AXIS. #4

Supply Chain Design Software 40

Supply Chain Design Software Supply Chain Planning Software Modeling Supply Chain Software 40