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Category: Analytics

2022 – The wake-up call for supply chain planning enthusiasts

Posted on by Imarticus Learning

The majority of the corporations refused to learn any lesson from the natural disasters of the last decade. As a result, most of them took a hit in their supply chain planning when a global pandemic happened in 2020. COVID-19 should serve as a wake-up call for all supply chain planning enthusiasts, and they need to implement some significant changes in their supply planning to avoid future issues. 

To avoid such disasters from happening again, they need to conduct in-depth mapping of their supply chains, identify alternate item sources, change the assessment method of their procurement function to include cost savings as well as revenue assurance, and include disruption-related metrics in their supplier evaluation. Imarticus has come up with a Certification in Supply Chain Management in collaboration with DoMS and E-learning Centre, IIT Roorkee, to provide supply chain certification online for all young professionals.

This article will help all supply chain planning enthusiasts to understand how to alter their planning in 2022 to avoid future disruptions in their supply chain. 

How most companies reacted to the pandemic

Most companies had their procurement teams struggling to cope with the global pandemic. On the other hand, the companies attempted to follow the response measures, diligently operated to secure raw materials and other necessary components, and protect their supply lines. However, their global teams struggled to access critical information that was unavailable most of the time. As a result, the impact of the pandemic hit most of the companies in full force as their response to the crisis was uncoordinated and reactive. 

In contrast, a small minority of the corporations had already invested in mapping their supply chain network before the pandemic hit the world. As a result, they were better prepared to tackle the crisis. The structure of their supply chains was better visible to them, and they did not need for last-minute scrambling to gather the information they already possessed. They had data to assess the specific sites, products, suppliers, and parts at risk and swiftly arranged for constrained inventory and capacity at alternate locations. 

Major problems in the supply chain planning 

The global pandemic has helped us to identify the major problems in our supply chain planning that need to be corrected. It is up to the companies whether they will be able to identify and rectify them and prepare for future natural disasters or crises. Some of the major problems that most companies faced in their supply chain management during the global outbreak of COVID-19 were:

  • Most companies lacked supply network mapping as a risk-mitigation strategy because of its high expense and labor requirement. 
  • A majority of the companies centered their procurement activities around cost savings instead of ensuring guaranteed revenue. 
  • While writing contracts for suppliers, most companies ignored the need to include annual supply chain mapping and strategy to recover during crisis periods. 

Conclusion

The past decade had its fair share of natural disasters, including earthquakes and tsunamis in Japan, a volcano eruption in Iceland, Hurricanes Harvey and Maria, and floods in Thailand. All of these catastrophes inflicted several upheavals in the supply chain network of most corporations. Yet, a majority of the companies were unprepared when another disaster hit in the form of COVID-19. Resilinc surveyed around 300 companies immediately after the Covid-19 outbreak in China in late January and early February.

The survey found that 70% of the respondents lagged in data collection and assessment. Most of them were manually attempting to identify their supplying sites in specific locked-down regions of China. As the pandemic is on the decline, most companies are looking to revamp their supply chain planning. A supply chain certification course by IIT Roorkee and Imarticus Learning will help you take advantage of this current scenario to build a lucrative career in supply chain planning. 

Python Training: Eliminate the skill gap in the modern workforce

Posted on by Imarticus Learning

There is a well-known skill gap in the present-day workforce. Many job roles remain unfilled because employers can’t find workers with the necessary skills. However, one skill can bridge this gap by 2022: Python training. 

Python is a universal language that you can use for various purposes, from data science to web development. This blog post will discuss why Python is so popular and how you can get started with Python training today! 

Python’s popularity in the tech industry

Python is becoming the third most-requested language on Stack Overflow and LinkedIn. Due to its versatility, ease of use, and popularity among data scientists for machine learning tasks. Many people who are just starting with programming languages choose Python because it has a simple syntax and is easy to learn. 

There are several reasons for Python’s popularity in the tech industry.

  • Python is easy to learn.

One of the main reasons Python has become so popular in recent years is that it’s relatively easy for beginners. It has a simple syntax and fewer lines than other languages such as Java or C++, making learning how to code more accessible for new programmers who want to get started coding quickly without having too much experience.

  • Python is versatile.

Python has many different uses, and you can use it for web development to machine learning. You’ll find that most people know how to code using this language because it allows them the flexibility they need when working on projects in any industry.

  • Python is open-source

One of the best things about using an open-source language like Python is that anyone can contribute to it or make changes if they see something wrong with how something works. It means there’s always a community willing to help each other out when needed, making coding less intimidating than ever before! 

The benefits of learning Python for both personal and professional development

 Python continued to be one of the most popular programming languages in 2021. The demand for Python developers is to grow exponentially in the next few years, with an Increase market share that will only widen further.

Many enterprises utilize Machine Learning (ML) and Artificial Intelligence (AI), which require vast amounts of data to be processed. Python has emerged as the leading language for data science and machine learning projects mainly because of its readability, comprehensibility, and ease of use. 

Professionals and students alike must learn this powerful programming language to bridge the skill gap in the modern workforce. There has never been a good time to start learning Python with its growing popularity than now. Don’t miss out on this opportunity!

Discover Post Graduate program in Data Analytics with Imarticus Learning

This data visualization program is by industry specialists to help students master real-world Data Science applications from the ground up and construct challenging models to deliver relevant business insights and forecasts. 

Course Benefits For learners:

Hello new world of “Supervised Learning”

Posted on by Imarticus Learning

We have entered an era of machine learning called “supervised learning.” In this world, computers can learn from data that humans have labeled. It is a considerable shift from the old world of machine learning, where computers were only able to learn from data pre-programmed by humans.

This new world of machine learning is opening up many possibilities for businesses and organizations that want to harness the power of artificial intelligence. This blog post will discuss supervised learning and how you can improve your business!

A report from Forrester Research predicts that the market for artificial intelligence will grow $37 billion globally by 2025. Advancements are driving this growth in supervised learning algorithms and the increasing amounts of data available to train machines.

An overview of supervised learning

Supervised learning allows computers to learn from data that humans have labeled. Supervised learning aims to accurately train the computer to predict the desired results for new input data.

Supervised learning algorithms operate by finding a mathematical function that best fits the training data. Using this function to predict the desired outputs for new input data. The process of finding this mathematical function is known as “training the model.”

There are many different supervised learning algorithms, each with advantages and disadvantages. The most popular supervised learning algorithms include:

  • Linear regression
  • Logistic regression
  • Support for vector machines
  • Decision trees
  • Neural networks

How Can Supervised Learning Be Used to Improve Business?

Supervised learning can improve business in many different ways. Some of the most popular applications of supervised learning include:

  • Improving customer support: It builds chatbots that provide automated customer support.
  • Enhancing marketing campaigns: Supervised learning can improve marketing campaigns’ targeting by building models that predict which customers are most likely to respond positively to a given offer.
  • Optimizing supply chains: Supervised learning can build models that predict product demand and optimize supply chains accordingly.
  • Improving fraud detection: Supervised learning builds models that detect fraudulent activity such as credit card fraud or insurance fraud.
  • Enhancing security: Supervised learning can build models that identify unusual behavior patterns that indicate security threats.
  • Predicting consumer behavior: Supervised learning builds models that predict how consumers are likely to behave in the future. You can use it to optimize product offerings and marketing campaigns.

The possibilities for using supervised learning to improve business are endless!

Discover AIML certification with Imarticus Learning

This Machine Learning certification course provides students a solid foundation in data science’s day-to-day applications by teaching them how to apply these skills to real-world issues. This training is for graduates and early career professionals who want to advance their fields in Data Science and Analytics, one of the most in-demand skill sets. 

best artificial intelligence courses by E&ICT Academy, IIT GuwahatiCourse Benefit For Learner: 

  • Students can now learn Machine Learning by participating in 25 real-world projects and case studies with industry partners to learn practical machine learning skills. 
  • Students learn how to apply machine learning to solve data-intensive problems. This course will teach students about data analytics and basic machine learning concepts, as well as some of today’s most popular tools. 
  •  Impress employers and showcase skills with the IIT AI course recognized by India’s prestigious academic collaborations.

Data analysis with Tableau: Things you need to know

Posted on by Imarticus Learning

Tableau is one of the best tools for data analysis, data visualization, and business intelligence. The dynamic visualizations and the interactive dashboards in Tableau help companies gain crucial insights as quickly as possible. One of the main aspects of data analysis is to analyze trends and patterns. Tableau’s great visualizations, graphs, charts, plots, etc. make it easier to identify relationships from data. 

The point of data analysis is to help in gaining business intelligence and then tell stories in a cognizable format. Reports, dashboards, and visualizations created by Tableau do just that. More than anything, there are a vast number of visualizations, designs, functions, formats, and customizations that you can choose from. 

Working in Tableau is as simple as choosing the data source, choosing the visualization, customizing the specifications, and in the very next minute your visualization is ready. Tableau uses a drag-and-drop style of user interface and this makes working with this great data analysis tool faster and simpler. 

Why Tableau?

If not the best, Tableau is currently one of the best software for business intelligence and data analytics. It is a trusted software in this domain and it is easy to shift to for people who are using Microsoft Excel. Like Microsoft Office, now Tableau too has an ecosystem or a suite of products. Tableau is acquired by Salesforce now, making the software highly compatible with other products offered by Salesforce such as their cloud computing solutions and CRM software. Tableau also has all the important functions that you can carry out in Excel. As a matter of fact, Tableau can do so much more. 

Here is why you should definitely choose Tableau over most other data analysis or analytics software:

  • Tableau is a leading product with many other complimentary Tableau products such as Tableau Online, Tableau Mobile, Tableau Server, and Tableau Reader.
  • Frequent upgrades and a fast-evolving business intelligence tool.
  • Easy to learn with a proper learning path.
  • Analyze data for making data-driven business decisions.

Important Things You Should About Tableau

The first thing that we all should be aware of is the fact that there are many Tableau products we can choose from for data visualization or analysis. If you wish to use Tableau for your personal or individual use, you can use Tableau Desktop while Tableau Server is recommended for organizations and for collaboration, in general. 

Tableau Online is also another light tool for business intelligence while Tableau Readers allows users to read files saved with the help of Tableau Desktop. Tableau Public is another free option for users who wish to publish or upload data, feedback, and visualizations online.

There are many features in Tableau that you should definitely know about. Here are some:

  • With Tableau, you can use different datasets in formats such as. TXT, .CSV, and many more. You also get the opportunity to connect databases and big data queries as well. Tableau supports data from various different sources and platforms, which makes this tool very compatible and easy to work with.

  • Tableau is capable of functions such as custom SQL, data blending, and working with Google Analytics as well. Tableau also additionally infers the data type through symbols next to variables.
  • Tableau is capable of representing data with various formatting, views, and drill-downs. You can also apply various filters, create sets or groups and generate forecasts or trend lines.

  • This tool also automatically adjusts the most optimized format for the selected measures and dimensions by activating the most compatible views for the worksheet. It is very easy to simply drag variables to these views for them to show in the main visualization.

Conclusion

If you wish to learn data analysis with Tableau, a solid post-graduate program in data analytics will definitely help you out. Additionally, in order to prepare yourself for being industry-ready, you can choose a reputed data analytics course with placement.

Can blockchain resolve certainties in supply chains?

Posted on by Imarticus Learning

Blockchains can be referred to as an upcoming technology, which has enough abilities to reduce cyber security risks available in supply chains. These mostly deal with an auditable, inconvertible history of transactions, bringing about a verifiable identity. 

To begin with, blockchains can be understood as a digitally distributed ledger that tracks transactions among several parties. It is best known for its remarkable roles in cryptocurrency systems, in order to maintain transactions that are mostly decentralized. Blockchains mostly deal with the security and understanding of information, in order to generate trust without any third-party providers.

If you are aiming to become a supply chain analyst, then this article will provide you with information regarding the role of blockchains in supply chains. 

How do Blockchains Enhance the Functioning of Supply Chains?

  • Data Visibility: Increased data visibility could bring about greater transparency and trackability of up-to-date information. Once included, these records cannot bring about change. For instance, these roles are best applicable in the cases of food safety. Data visibility allows you to track mistakes and enhance the safety of the products.

 

  • Process Optimisation: Blockchains provide help to optimize business operations and processes. Inefficiencies present in the supply chains are mostly manual, application-based procedures that can cause mistakes, increase fraudulent activities and bring about difficulties in management processes. 
  • Technical Considerations: Several requirements such as scalability, integrity, and security must be met in an enterprise ecosystem. The blockchains designed for business purposes bring about a sense of identity as well.
    Infrastructure also plays an important role as protection must be provided against the tampering and misuse of information. This can also add up to a higher rate in the production of data at a fast rate. Round the clock, availability is also included to support ledger replication.
  • Collaboration: Blockchain helps in combatting collaboration issues by adding up data and providing a centralized platform. Intermediary requirements are also negated by saving the organization’s primary aspects such as time and finances. It also helps to decrease miscommunications and problems, creating a platform where people can function efficiently.
  • Increased Automation: Most freight invoices comprise inaccurate and unnecessary information. These bring about vulnerabilities such as errors and miscommunication, leading to inefficient supply chain management.

 

Blockchain plays an adjusting role by bringing about suitable product activities. Delivery speed also increases, which finally leads to better services.

Advantages of Blockchains in Supply Chains:

The role of blockchains is to provide successful transactions or transaction facilities. 

  • ERP Software is mandatory when it comes to storage functions and managing business activities which include handling of employees, production as well as accounting. Blockchain makes such functions smoother by connecting all the organizations in order to bring efficiency to the whole process. 
  • Life cycle management is properly enhanced with the help of blockchain technology. Sufficient feedback is provided to the consumers and other members who are part of the supply chain. A distributed consensus is realized where online transactions can be understood in the future. 
  • Blockchains store products, order details, and IoT. Order and transportation are also provided to find the trust of all stakeholders present in the supply chains. These sensors are mostly updated over the cloud and real-time tracking. 
  • Blockchain systems are applicable to not only managerial sectors but to healthcare, agricultural, and legal facilities as well. Inventory management, forecasting, asset tracking, and intellectual property storage area used by blockchains to make the supply chains more alert. 
  • Real estate industries are heavily benefited from blockchains because complete decentralization is provided. 

Conclusion:

If you are looking for a supply chain and analytics management course, then Imarticus Professional Certification in Supply Chain Management and Analytics is the most ideal course available.

best supply chain management and analytics coursesLessons provided from IIT supply chain management based in Roorkee, the course provides for live sessions with faculty experts and a curriculum approved by industrial leaders.

Opportunities for working with international SCM projects are also provided. Overall, this certificate course will fulfill all your interests in blockchains and supply chain management.

Supply chain analytics certification on the rise catalyzing new technological advancements in 2022

Posted on by Imarticus Learning

Supply chain analytics, as a discipline, has existed for over a century now. But the associated applications, data infrastructure, and mathematical models have developed significantly with the advent of technology. Machine learning, the Internet of Things (IoT), predictive modeling, Complex Event Processing (CEP), and cloud infrastructure have greatly benefited the process of supply chain analytics. 

Organizations utilize supply chain analytics to acquire insight into their day-to-day operations and extract value from extensive amounts of data associated with the procurement, processing, and dispersal of manufactured goods. Due to an acute shortage of young professionals in the field of Supply Chain Management (SCM), Imarticus Learning has brought a supply chain analytics course for students to learn about the prospective sector. This article will give you a cursory understanding of supply chain analytics, its benefits, and why the demand for this course is seen on the rise. 

What is supply chain analytics?

Analytics denotes the capability to make data-driven decisions founded on an overview of authorized and pertinent data, often using visualization tools, such as charts, graphs, and diagrams. All large-scale corporations and start-ups have developed their supply chains to cut down on costs and to remain competitive in the business landscape. A supply chain refers to the extensive network of a company to distribute a specific product to its customer. This vast network includes all the procedures that begin with acquiring an order to meet the customer’s request, such as procurement, marketing, finance, customer service, distribution networks, and operations. 

As a result, supply chains generally yield enormous amounts of data. Supply chain analytics aids corporations to analyze all this data critically, generating insights, and locating patterns.

Different types of supply chain analytics

The various types of supply chain analytics have been briefly explained below –

 

  • Descriptive analytics

 

This type of supply chain analytics delivers visibility and acts as a single source of truth across the supply chain for both external and internal data systems. 

 

  • Predictive analytics

 

This type of supply chain analytics allows an institution to comprehend the most probable outcome and its implications on the business. For example, corporations use predictive analytics to project and mitigate perils and disturbances to their business models. 

 

  • Prescriptive analytics

 

This type of supply chain analytics enables organizations to decode problems and unite to gain maximum business value. It aids businesses in collaborating with logistic partners to cut down on time and effort to reduce disruptions.

 

  • Cognitive analytics

 

This type of supply chain analytics permits an organization to respond to complex questions in simple terms. Explaining complicated problems in layman’s terms will help a team hit upon the solution quicker. It helps businesses think through a difficult situation or problem, such as improvisations and optimizations of different aspects of the business. 

Benefits of supply chain analytics

Some of the major benefits of supply chain analytics are: 

 

  • Have a better understanding of risks

 

Supply chain analytics can help businesses pinpoint known risks and permit the prediction of future disruptions by identifying trends and common patterns throughout the supply chain.

 

  • Boost accuracy in future planning

 

By studying customer data, supply chain analytics can assist a business in better predicting future consumer demands. It enables an organization to determine the products to be cut off as they offer less profit and comprehend customer needs after their first order. 

 

  • Achieve an uncomplicated and lean supply chain

 

Corporations can utilize supply chain analytics to monitor and track partner responses, warehouses, and client needs. This will help them make sounder and well-informed future decisions for the betterment of the business. 

 

  • Get ready for the future

 

Many enterprises are looking for professionals with knowledge of advanced analytics. Familiarity with advanced analytics will help businesses process all types of complex data, mitigate risk factors at little expense and with less sustainability impact and help them optimize their decisions by ensuring timely alerts. 

Conclusion

With innovative technologies, such as Artificial Intelligence (AI), becoming more mainstream, corporations and start-ups are looking to hire more and more young professionals in the field of supply chain analytics. Due to an acute shortage of specialists, there is a rise in demand for certification courses of the discipline. Imarticus Learning’s Supply Chain Management course will tap into this new and prospective sector and help you build a supply chain management career with the assistance of various leaders and the expert faculty of DoMS and E-learning Centre, IIT Roorkee. 

Transition from a supply chain analyst to a supply chain manager with the best supply chain management course with analytics

Posted on by Imarticus Learning

Making the transition from a supply chain analyst to a supply chain manager can be challenging. However, with the proper training and education, it is possible! In this blog post, we’ll go over supply chain analyst and supply chain management roles and how to make the transition.

Role of Supply chain analyst

A supply chain analyst analyzes a company’s entire supply chain and makes recommendations to improve efficiency and effectiveness. They will use various analytical tools to examine the data and identify areas of improvement. The goal of a supply chain analyst is to help the company save money and increase profits by streamlining the supply chain.

Role of Supply chain manager

A supply chain manager oversees the entire supply chain of a company. They will decide which suppliers to use, how to transport goods, and how to store inventory. The goal of a supply chain manager is to ensure that the company’s supply chain is efficient and effective.

The transition from a supply chain analyst to a supply chain manager:

You can do a few things to transition from a supply chain analyst to a supply chain manager.

 Get experience in the field:

A great way to transition is to get experience in the field. There are many ways to do this, such as working as an intern. It will allow you to learn about the various aspects of supply chain management and gain valuable experience. 

Take a supply chain management course:

If you want to transition into the supply chain manager role, you should consider taking a supply chain management course. It will give you the necessary knowledge and skills to succeed in this field. There are many great courses, so do your research and find one that fits your needs.

Transitioning from a supply chain analyst to a supply chain manager can be a great career move. You can now become an invaluable asset to any company with the proper knowledge and skills. You can give yourself the best chance of success by taking a supply chain management course.

Explore Supply Chain Management Course with Imarticus Learning

The supply chain certification provides cutting-edge expertise to those interested in entering the operations or supply chain analytics course. This supply chain analytics course will teach students for jobs such as Demand Planner, Data Scientist, and Supply Planner.

This course is by industry leaders to help students learn. Product activity has been increasing at an ever-increasing rate in recent years. Across industries, there has been a dramatic growth in the number of SCM jobs. A career in SCM can be enriching, both financially and professionally.

Course Benefits For Learners:

  • We immerse students in in-demand technologies and projects, including six real-world projects that will give them a complete grasp of the industry to prepare them for a satisfying future in Supply Chain Management and Analytics.

  • Students who complete a supply chain management online course will prepare for competitive careers such as Demand Planner or Data Scientist, which are in great demand among companies today!

  • This supply chain management career will help students become more data-centric and improve Supply Chain decision-making by harnessing the power of Python.

The fourth industrial revolution: The primer on Artificial Intelligence and Machine Learning courses

Posted on by Imarticus Learning

We are living in the fourth industrial revolution. It is a time when technology is rapidly changing and evolving. One of the most critical aspects of this revolution is artificial intelligence (AI) and machine learning (ML). These technologies impact every industry and will continue to do so in the future. If you want to stay ahead of the curve, it’s essential to understand these technologies and learn how to use them.

This blog will provide a primer on AI and ML courses. We will also discuss why it’s vital for you to learn about these technologies. 

The fourth industrial revolution is a period of rapid technological progress and digital transformation. The fourth industrial revolution brings in a new age of automation, data-driven decision-making, and intelligent machines due to innovative technologies such as artificial intelligence (AI) and machine learning (ML). 

What are the key drivers of the fourth industrial revolution?

The key drivers of the fourth industrial revolution include:

  • Rapid technological advancement and digital transformation
  • The emergence of new technologies such as AI and ML
  • Increased connectivity and interdependence among countries, businesses, and individuals
  • Shifting demographics (e.g., an aging population)
  • Increased volatility, uncertainty, and risk
  • Rising income inequality

As we stand on the brink of a fourth industrial revolution, it’s more important than ever to understand the technologies driving it. One of the transformative technologies of our time is artificial intelligence (AI). From how we work and communicate to how we travel and entertain, AI has the potential to change almost every aspect of our lives.

What is the future of AI and machine learning?

The future looks bright for Artificial Intelligence (AI) and Machine Learning (ML), with both technologies experiencing exponential growth in recent years. The applications of AI and ML are limitless, spanning across industries such as finance, healthcare, manufacturing, retail, transportation, and logistics. Businesses need to gain a strong understanding of AI and ML to stay ahead of the curve and seize the opportunities brought about by these technologies,

Fortunately, there are many courses available that can provide this essential knowledge. Here is a primer on the best AI and ML courses, perfect for those looking to get started in this fascinating field.

Discover the AIML course by Imarticus Learning:

This Artificial Intelligence and Machine Learning certification combine the E & ICT Academy, IIT Guwahati, and the best industry leaders. This 9-month course will help students prepare for data scientists, data analysts, machine learning engineers, and AI engineers.

This course will help students strengthen their fundamental AI competencies. Students can now use the Expert Mentorship service to build a practical understanding of artificial intelligence and machine learning. Take advantage of real-world projects from a variety of sectors. This course has a long way to go towards assisting you in seizing lucrative job possibilities in the hot fields of artificial intelligence and machine learning.

Course Benefits for Learners:

  • Prepare for a fascinating data science profession by acquiring in-demand data science and AI abilities with 25 real-world projects that give employers diverse industry exposure.

  • Impress employers and display your AI skills with an E & ICT Academy, IIT Guwahati, and an Imarticus Learning-endorsed certificate.

  • Students can now participate in live online seminars and discussions with one of the finest instructors in India.

Using machine learning to scale data analytics at Airbnb

Posted on by Imarticus Learning

Airbnb was a revolution in the hospitality industry. It allowed their hosts associated with them to set their prices for the rent from their customers.

With the help of large data resources, Airbnb uses Artificial intelligence and Machine Learning to improve its online services. The company is one of the top targets for those pursuing their Machine Learning course with placement opportunities. 

One of the major improvements made by the company is in its price settings. Earlier it was the host who set the price and now, it is still the host who decides but AI directs them towards the price that will be beneficial for both sides.

Airbnb uses the vast amount of data they gather and analytics to come up with this guidance. What changes did they do to achieve this progress? Let’s find out!

  • Price tips

Price tips are the primary feature that ‘nudges’ the host towards the desired price. This AI-powered feature constantly updates the various price ranges for each day of every month of the year. At a glance, the hosts will be able to see if their set price is suitable to garner any profits if it is enough to get the attention of the customers, or which range is most likely to get bookings, etc. If the price is shown in green, then they are good to go.

If it shows in red, then the host needs to make some changes to make it green. Prices in green will be the most suitable for clicks.

This price range depends on the days of the week, time of the year, specific neighborhood, locality, etc. Even the latitude and longitude matter. This is a result of the algorithms set by Airbnb through the available data.  

  • Aerosolve

The machine learning package that helps with the pricing is the other analytical feature of Airbnb. It handles the behind-the-scenes factors and patterns that lead to the pricing shown in the Price Tips. It helps the user to interpret the words having entirely two meanings in two localities in the right context. 

Such developments are a result of a bunch of data analysts and scientists having such a useful model. It is such usage of data analytics that people are looking for a quality Data analytics course with placement offers. 

  • big data analytics certification coursesIn-app message intent

The third important feature of Airbnb analytics is their in-app message system. Here, the queries of customers will be automatically answered appropriately by classifying the message intent. The machine ‘learns’ to understand what the customer is looking for and respond to them as needed.

It is useful for hosts and customers in different time zones. This way, there is no delay in getting the answers and the customers feel valued. The AI system can identify the queries and even give suggestions such as a link, map, or picture, to the various queries. 

Bottom Line

Airbnb achieves all of these with a few data analysts. They are also empowering their hosts so that they can make their own decisions with the help of the already set analytics. The existing hosts can find effective bookings and the company will be able to find more listings and hosts. 

If you are fascinated with these developments in technology, enroll for the Post Graduate Program in Data Analytics here at Imarticus to understand more about data analysis.

The classes are conducted by industry experts. There will be proper mentorship throughout and beyond the period of the course. You will be prepared for interviews and get assistance with placements as well. 

5 traits for a successful career as a supply chain analyst

Posted on by Imarticus Learning

A supply chain Analytics certification through the SCM program at Imarticus helps you become an efficient Supply Chain Specialist responsible for ensuring that the company’s supply matches client demand. They are in charge of its supply networks and guarantee timely delivery and staying within budget.

Duties of A Supply Chain Analyst

Supply Chain Analysts use data gathering and analysis to increase the efficiency of supply chain operations. The job of a supply chain analyst requires meticulous attention to detail, a thorough understanding of the delivery process, and strong analytical abilities. They collect data from various departments and offer methods to improve the supply chain using interpersonal and problem-solving skills.

The duties of a supply chain analyst are:

  • Gather information about supply chain operations.
  • Analyze data to pinpoint weak areas of supply chain operations.
  • Develop and implement programmes that will improve supply chain operations.
  • Develop and maintain working connections with shippers and vendors.
  • Examine vendor operations and ensure meeting of the quality criteria.
  • Measure and report supply chain performance to management.
  • Improve service delivery by collaborating with the procurement, logistics, and IT departments.

5 Traits of An Efficient Supply Chain Manager

Your company’s supply chain is at the centre of everything the company does. Your supply chain manager is in control of the whole route of your product, from acquiring ingredients to making sure it meets client demand.

The role of the supply chain manager has progressed from being the company’s buyer or buying manager in the backroom to being an integral element of the company’s backbone. 

The manager should possess diverse skills, such as effective use of available data, planning, financial management and contract management, building strong relationships, and a good understanding of the manufacturing process, transportation system, and warehousing.

A successful supply chain manager possesses a variety of qualities and skills. It requires a good mix of hard and soft talents, which might be challenging to come by.

With the supply chain analytics course training at Imarticus, we emphasize the following five qualities of a supply chain manager:

  • Math skills and strong analytical and statistical capabilities are required to grasp supply and demand concerns with the available data.

  • The manager should have the ability to analyze orders and shipments, sales patterns, demand, and any flaws and inefficiencies using data.

  • Another trait of a supply chain manager is the technical knowledge of artificial intelligence, machine learning, the Internet of Things, analytics software and apps.

  • A supply chain manager requires soft skills for negotiating and building connections with suppliers, customers, and team members.

  •  Attention to detail for understanding the business and its environment.

Supply Chain Analytics Course 

By generating the SCM program at Imarticus, we help you train in an exciting area in high demand. This course at Imarticus takes you on a fascinating journey where supply chain analytics meets data analytics. 

At Imarticus with SCM program, our motive is to know the real-life examples of the application of supply chain onto various domains: selling, logistics, production, sourcing, and generating a powerful and significant social and economic impact.