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Category: Management

Best practices to set up safety stock targets in supply chain management and analytics

Posted on by Imarticus Learning

In the modern era, technology has been an indispensable part of our lives. And the fact remains constant for various industries including the field of supply chain management. With cloud computing, big data, and other forms of advanced analytics, businesses are becoming more efficient than before with their supply chains. But what exactly does this mean? 

Supply chain management is a management process that focuses on the smooth flow of information, materials, and services to meet customer demand. It is a complex process that requires the coordination of many different players, from suppliers to distributors and customers.

Now that we’ve discussed supply chain management, it’s time to learn about safety stock. Safety stocks are a component of supply chain management aimed at preventing stockouts. 

The term “stockout” refers to a situation in which a firm has run out of inventory, leaving clients without a product or service. This can be quite harmful to businesses because it could result in lost revenue and customer satisfaction. Therefore, it is clear that Safety stock targets are one of the most important aspects of supply chain management.

Essential elements of setting up safety stock goals in supply chain management and analytics:

  1. Using advanced analytics can help ensure that your company will never run out of inventory and prevent the loss in revenue that comes with a stockout. Analytics can also help you to avoid overstock, which occurs when a company has more inventory than they need. Apart from this, Advanced analytics can help you to determine the optimal amount of inventory that should be kept in a warehouse.

  2. In order to ensure your business is using safety stocks effectively, it’s important that all stakeholders work together from the beginning stages of an operation plan. This will allow companies to make decisions based on accurate data and demand forecasts for their products.

  3. It is also important to take into consideration the various planning horizons when setting up safety stock targets. For example, if your plan has a long-term horizon (more than one year), you will want to make sure that the inventory accounts for fluctuations in demand over time, however, if your supply chain management strategy focuses on short-term goals. You might want to have a more streamlined strategy that focuses primarily on current demand.

  4. You may also enroll in a supply chain management course to learn more about the subject and how it might assist your organization to operate successfully.

Explore SCM with Imarticus Learning:

Imarticus learning offers you a Supply chain management course with analytics that will provide you with the skills and knowledge to understand supply chain planning, management, and optimization. You will get to learn about the modern supply chain management concepts and how to apply them in your specific business environment.

This course contains numerous case studies which will help you understand exactly how these issues are handled by professionals working in Supply Chain Management across various industry sectors. Also, this course will take your Supply chain management career to the next level. 

Course USP’s:

  • Real SCM projects and case studies.
  • Industry expert faculty will help you apply SCM concepts in your organization.
  • Exclusive Videos and Podcasts by industry leaders to take your career ahead.
  • Offers you a certification from one of the most renowned supply chain management training institutes.

Careers in artificial intelligence and machine learning

Posted on by Imarticus Learning

Customer experience is crucial for business growth, and through the omnichannel or a multi-channel approach it is possible to generate better revenue. If you are interested in the impact of technological solutions in sales and marketing, you can learn artificial intelligence. This will help you prepare for an exciting and rewarding career. You can choose the AIML course from Imarticus Learning. 

Top Benefits of Artificial Intelligence in Omnichannel

If you are considering a career in artificial intelligence, you can work in the sales and marketing industry. To know the impact of artificial intelligence on omnichannel, take a look at the points below. 

 

  • Scaling Customer Experience 

 

Artificial intelligence and machine learning can be used to effectively restructure the entire IT architecture of companies. This helps to set a scale for the improvement of customer experiences by analyzing all customer preferences. 

 

  • Trial Features on Mobile Apps

 

If you are able to combine artificial intelligence with machine learning, you can ensure that mobile apps for businesses offer a better experience to potential buyers. For example, if you are working for a company that sells clothes, you can create a feature on the mobile app that allows customers to try on the garments. Such trial features are possible for any products that need to be worn or applied. 

 

  • Creation of Accurate Buyer Personas

 

Buyer personas are essential to creating a good marketing strategy for omnichannel. You can implement artificial intelligence to create buyer personas that are accurate and will help to design products and services that cater to that target audience. 

 

  • Use of Propensity Models

 

Machine learning algorithms and artificial intelligence can be applied to the creation and use of propensity models for predictive analysis. These help to determine customer responses to price bundling, offers, email advertisements and other call-to-action methods. 

 

  • Increase in Operational Efficiency

 

Artificial intelligence can be used in every aspect of an omnichannel and it will assist in developing and revolutionizing customer support. In doing this, artificial intelligence can improve the operational efficiency of a business. 

 

  • Quick Analysis of Customer Behaviour

 

Using artificial intelligence and machine learning, you can analyze customer behavior or the response of potential customers to a certain product or service. The insights that you obtain from the analysis will help gain better responses and thus improve the sales close rates. 

 

  • Increase of Revenue

 

As artificial intelligence for the omnichannel helps to improve operational efficiency, it can also help to generate better revenue. Since every product or service is tailored to fit customer preferences, the revenue is bound to increase. 

 

  • Improved Traceability of Orders

 

Artificial intelligence can be used to track different orders across various channels. If operational risks in the channels are reduced, the traceability of orders will improve and it will have a positive impact on customer experience. 

 

  • Better Marketing Strategies

 

Marketing strategies for the omnichannel need to be optimized to understand what is working and what is not working for the business. Artificial intelligence in marketing for an omnichannel can help in the prioritization of sales time and sales strategies, and the improvement of customer profiles. 

Study Artificial Intelligence from Imarticus Learning

If you want a career in implementing artificial intelligence for omnichannel, you should opt for an artificial intelligence course. At Imarticus Learning we offer the best certification in Artificial Intelligence & Machine Learning program. The course is ideal for aspiring data scientists and analysts. You can also opt to pursue a career in machine learning engineering once you complete this certificate course. To create the curriculum and provide certification, we collaborated with the country’s top institutions, IIT Guwahati and the E&ICT Academy. 

At Imarticus Learning, you will be able to participate in live lectures that are held for 8 hours every week. This will help you build important networks and interact with industry professionals, making it easier to land lucrative jobs.

Should we reconcile forecasts to align supply chain management and analytics?

Posted on by Imarticus Learning

One of the biggest perks of analytics in supply chain management is its utilisation of the demand forecast. Managers at different levels of the supply chain may be using it for different purposes. The common factor is that they all use the data for making some sort of decision.

One could say that the supply chain management career will require you to make a lot of decisions based on the various data available at any given time. Decisions of different levels may be based on the same set of data or entirely different ones as well. 

One must think about whether or not to align multiple levels using the forecasts. So the question here is, will it be wise to use a unified forecast across all levels?

Unified forecast in Supply Chain Management (SCM)

The technological advancements have made it easier to unify the various sections or levels in the SCM and send a common forecast for all. But, it is the only easy path here as there are more challenges ahead for such a decision to be successful. The main challenges here are, 

  • Efficiency: It is going to be a tedious process to repeat the same process every month for the specified period.  
  • Optimality: The optimal model that is successful for one product or material may not be at the same level for another product, even for the same company. 
  • Alignment: Aligning the forecast and aligning the performance may not be the same. Even with a unified forecast, the outcome of different departments may be different so it is not advisable to take such a move. 

So, the answer to the question is, it is not advisable to align the forecast in a supply chain system. But what you can do is to provide the data in a single platform where it is accessible for all levels. This way a lot of fragmentation could be prevented. This is where a skilled supply chain manager comes into play. 

Importance of Supply Chain Management & Analytics

These days businesses rely on data to come with better plans for their future. The supply chain uses the massive data generated through its operations on a daily basis. The SCM system and analytics can use this data to predict future trends so that the companies can optimize their production or increase their sales. 

Opting for a supply chain management course with analytics will give you a clear idea about the various processes involved in these operations. The designing of the distribution network, planning, and coordination, etc are some of the topics that are included in such courses. 

The Professional certification in Supply Chain Management & Analytics course here at Imarticus is in collaboration with IIT Roorkee. The course offers live sessions, discussions, assignments, assessments, and a capstone project that will award a certificate after successful completion. You will receive career support with the guidance of experts. The career options ahead include the Supply Planning Analyst, Procurement Specialist, Supply And Operations Planner, Quality Assurance Manager, Logistics Manager, etc. 

Conclusion

Completing a course in SCM will enable you to see and make appropriate decisions based on the analytics. A smart manager will be able to run the show for any given period and will be able to adjust the decisions at crucial points, without compromising the competitive advantage. It is all about balancing the supply and demand so that neither of these is above or below the other. 

What 60% of data analytics learners do wrong

Posted on by Imarticus Learning

Data science is a field that is as demanding as it is difficult. It has become a necessary part of our lives. Whether managing education, retail or corporate, data analytics has come in really handy in recent years. Corporate especially is a field where data analytics helps a lot as there are always big amounts of data to be processed. It is in no way an easy job. The job market is also very demanding, but thankfully numerous positions are being offered across the globe. 

This is why if you are thinking of switching to a data analytics career, then you should learn data analytics properly. Fortunately, a lot of institutions in India offer compact courses on it. Such an institution is Imarticus Learnings who offer a solid data analytics certification course with placements. This will not only cover the basics of ‘what does a data analyst do’ but also hone your skills to a different level. Now, here, we are going to elaborate on some primary mistakes that a majority of data analytics learners do wrong to help you avoid them altogether. Please read on to learn more.

What does a data analyst do?

A data analyst needs to process big data, including the current trends of a market, the inefficiencies present in the current system of a company, changing market trends, changes in customer demands, and so on very quickly. This is the only way to analyze certain problems and address them accordingly. Data analysts need to make suggestions for a more profitable approach for the company that they are in. They also need to collaborate with other departments to make a plan that works for all and even supervise it regularly. So, mistakes are not appreciated.

The mistakes to avoid

There are some primary mistakes that beginners end up making that can become harmful to their careers. They are, as follows:

  • Jumping into things headfirst: You need to analyze the problem first properly before jumping into conclusive solutions. The best way to deal with this is to scope the entire value of delivery from the get-go. This comes in really handy later as it gives a clear value of what data science can bring with each step.
  • Exploratory Data Analysis (EDA) is a must: Although EDA might seem like a tedious aspect, it is a must. It gives you the edge in both competitions and real-life projects. Skipping it entirely and jumping straight into modeling can turn out to be a real problem later on.
  • Spend time on feature engineering: This is directly linked to your building models. You need to spend enough time building predictive parameters after the initial processing and cleaning of a data set. Although directly jumping to grid searches and model building without this might work in some cases, that does not work well when you are trying to build a proper score.
  • Global models are part of the process: It is necessary to have the entire picture in mind before getting into projects seriously. This will help you make a plan with minimum efficiency and easier structures if the client has limited resources.

 

  • You also need to talk to domain experts regularly as they can provide insights you might overlook sometimes.
  • Know the basics properly.
  • Improve your connections.

Conclusion

The job can seem intimidating at first, but there are also some seriously interesting aspects to it. For a better understanding, learn data analytics with Imarticus Learnings’ data analytics certification course to give your career the boost it needs.

Here’s how to build a multi-layered neural network in Python

Posted on by Imarticus Learning

As businesses are recognizing the importance of neural networks, there is an increasing demand for the appropriate implementation of the same. Therefore, you can opt for a neural network tutorial. If you find the prospect of building and implementing neural networks to be exciting, then you can choose Imarticus Learning’s AIML program.  

How to Develop a Neural Network with Multiple Layers in Python

A master’s in artificial intelligence is essential to have a career in neural networking. However, you can start with the basics like building a network with Python code. Take a look at the following steps to learn more. 

Step 1: Prepare the Functions and Variables

To prepare all the functions and variables, you need to use the NumPy library. It is easier to do the calculations with this tool. Once your calculations are complete, you can move on to function activation. For this, you need to use the logistic sigmoid function.

Once you have all the values, you can decide on the learning rate, the input layer dimensionality, and the hidden layer dimensionality. This is crucial for a multi-layer neural network. You also need to determine the epoch count. 

Next, you need to fill the weight matrices with the np. random.uniform() function. Keep in mind that the values will be between -1 and +1. When this is complete, you need to set the empty arrays which are necessary for the values of preactivation and post-activation which are found in the hidden layer. 

Step 2: Import the Training Data

Use the Pandas library to import training data that is stored in Excel. Once you import it, you will need to convert that data to the NumPy matrix. 

Step 3: Initiate Feedforward Processing

Feedforward is a part of the neural network that is present within the computations that lead to the output. In the first loop, you will find more than one epoch value. You can calculate the output from each epoch value. The third loop is where you will need to check each hidden node separately and use the dot product to get the preactivation value. This will help to generate the post-activation signal. 

Finally, you can calculate the value for the output node. To do this, you need to calculate the pre-activation signals with the help of the dot product, and then use the activation function to get the post-activation signal. To know the final error, you will have to subtract the target from the post-activation signal of the output node.  

Step 4: Back-Propagation of the Output

You need to reverse the direction once the feedforward processing is complete. You need to first shift from the output node to the hidden-to-output weights and then to the input-to-hidden weights. This back-propagation will help to provide the error data that you can use to train the neural network.

Choose Imarticus Learning’s Course for Neural Networking

If you wish to learn about neural networks and pursue a career in that discipline, you need a degree from a reputable institute. At Imarticus Learning we offer certification in Artificial Intelligence and Machine Learning which is in collaboration with IIT Guwahati and the E&ICT Academy.

Industry experts have assisted our academicians in creating a curriculum that includes artificial intelligence, machine learning, AI deep learning, and data science. You will be learning through live lectures, hands-on project work, and assignments. 

Imarticus Learning prepares students for rewarding jobs as data scientists or machine learning engineers. The certification in Artificial Intelligence and Machine Learning is open to candidates with a Bachelor’s or Master’s in mathematics, computer science, engineering, statistics or science. If you have 50% in your graduation, enroll in our program and land the best job in the industry.

What no one will tell you about data analytics job applications

Posted on by Imarticus Learning

Do you know what the data analytics job roles are? At Imarticus we look at the keys to this professional profile, what their work consists of and the main requirements to start a career as a data analyst. We also tell you all you should know about data analytics jobs.

We are surrounded by data that, while it may not mean much in its raw form, can give significant value to many businesses and organizations when analyzed and turned into information. It’s not about who has the most, but who gets the most out of it at the end of the day.

The data analyst is a specialist who converts data into information so that they may make better-informed judgments. To that goal, these experts complete the following tasks:

In the discipline of data engineering, consider the following:

– Data acquisition: 

  • Dataset identification: data may be found in a variety of places (e.g. databases, social networks, etc.).
  • Acquisition: strategies for retrieving data for data analysis and processing.
  • Review of the information gathered (structure).

– Preparation: 

  • Exploration: using strategies to gain a better understanding of the data through preliminary analysis and a study of its nature (correlation, trends…).
  • Data cleansing (incoherent, duplicated, incorrect values, etc. ), transformation, and packaging into useful/manageable structures for processing.

In the subject of computational data science, there are a few things to keep in mind:

– Analyze: by deciding on the best strategies and creating processing models (predictive models, classification, clustering, etc.).

– Dissemination of data analysis/processing outcomes.

– Using the model’s conclusions in real-world situations, such as decision-making.

Data analyst profile

Due to the incipient process of digital transformation that many firms and organizations that already have a huge quantity of data but don’t know how to use it to gain commercial benefits have begun to handle, the data analyst’s profile is one of the most in-demand today.

With the rise of new occupations coming from technology demand, such as data analysts, the necessary training to perform the activities of this profile may be obtained in a variety of methods. STEM (Science, Technology, Engineering, and Mathematics) degrees are the ideal place to start if you want to learn the fundamentals of this field.

There are also many postgraduate and master’s degrees available to become an expert in this sector, such as a master’s degree in Big Data Analysis and Visualisation / Visual Analytics & Big Data.

Requirements to be a good data analyst

– Communication skills: describing the outcomes of the task to company or organization managers and directors who do not have a technical background.

– Dashboard design and implementation experience, particularly in the area of business intelligence.

– Familiarity with distributed storage systems

– Technological and “Machine Learning” foundation: algorithm creation, programming languages and databases management, and so on.

– Computer science, mathematics, and statistics knowledge: these profiles must be able to analyze databases, construct models, and forecast statistics, among other things.

– The capacity to evaluate data and draw judgments based on it is critical.

– The capacity to synthesize data in order to derive meaningful and relevant information.

– Analytical and creative skills: methodical, systematic, and creative workers do their tasks carefully, analyzing and processing data to develop answers to issues or company demands.

– Business acumen: understanding of the industry and the activities of the firm for which you work, as well as the ability to apply that knowledge to identify problems that can be solved through data analysis and processing.

Conclusion

If you want to find out what data analytics job roles entail, at Imarticus, we look at the most important aspects of this profession, what they do, and what it takes to get started in your career as a data analyst. We also cover all you need to know about data analytics jobs.

Careers in artificial intelligence: A smashing tool of Omnichannel

Posted on by Imarticus Learning

Artificial intelligence and machine learning can be implemented in various industries, including cybersecurity, healthcare, manufacturing, finance, and marketing. This is why there is an increase in the demand for artificial intelligence and machine learning courses. If you wish to have a successful career, you can choose our AIML program. Imarticus Learning offers the best course curriculum and learning sessions to prepare you for a steady career. 

Why Choose a Career in Artificial Intelligence and Machine Learning? 

A career in AI and machine learning can be rewarding in many aspects. Such a career is an excellent choice for those with a knack for technology. Following are some reasons you should become an expert in artificial intelligence and machine learning. 

  • Scope for Career Growth

Artificial intelligence and machine learning are beginning to become essential for businesses across industries. Therefore, there is endless scope for growth. If you start a career today, you will likely find opportunities in top managerial and research positions. Suppose you have a degree in artificial intelligence and machine learning that corresponds to current industry requirements. In that case, your career will continue to improve. 

  • Opportunity to Learn

If you enjoy learning new technological skills, then this is the best career for you. Artificial intelligence and machine learning are the new domain, dominating almost every sector. Therefore, there is a lot to learn. As it evolves, you will be learning the implementation of different technological solutions to generate the best outcomes for businesses. 

  • Competitive Salary

As artificial intelligence and machine learning are still evolving, there is a rising demand for professionals with the necessary skills. The industry is yet to become mainstream but is proving itself crucial for futuristic business processes. Therefore, you can ask for competitive salary packages from your potential employers. Companies are offering lucrative packages for artificial intelligence and machine learning experts. 

  • Jobs in Various Disciplines

If you have a degree in artificial intelligence and machine learning, you can pursue jobs in different fields. Most courses that teach artificial intelligence and machine learning include specialization in various disciplines. So, you can switch your career to that of a data scientist or even a deep learning engineer. These jobs are rewarding, and there is a demand for experts in such specialized fields. 

  • Challenging Work

A career in artificial intelligence and machine learning requires focusing on real-world business challenges and overcoming them with technological solutions. Such work is ideal if you enjoy data analysis and the use of technological tools for improving productivity. Since artificial intelligence and machine learning is evolving at every step of the way, there is no scope for stagnation. You will continue to enjoy the most challenging work in the field. 

How Can a Degree From Imarticus Learning Assist in Ensuring a Rewarding Career? 

Suppose you wish to pursue a career in artificial intelligence and machine learning. In that case, you need to choose one of the best AI ML courses. At Imarticus Learning, we offer certification in Artificial Intelligence and Machine Learning. This course is in collaboration with the E&ICT Academy and IIT Guwahati. Therefore, you will get the opportunity to interact with and learn from academicians and industry professionals.

The course is for nine months and will prepare you for a career in artificial intelligence engineering, machine learning engineering, data science, as well as data analytics. We offer real-world projects that provide you with hands-on experience in the field of artificial intelligence and machine learning. At Imarticus Learning, we also organize live lectures so that you can interact with your teachers and your peers. 

The course from Imarticus Learning is the best if you are considering a career as a data scientist or a data analyst. You can also become a specialist in artificial intelligence, machine learning, and deep learning and land the best jobs in the industry. 

Why Supply Chain Courses are in-demand and how to choose the best course

Posted on by Imarticus Learning

With the world becoming ever-more interconnected, supply chain courses are in high demand. Supply chains are not just for manufacturing companies anymore. More and more companies are starting to see how important it is to have a streamlined process from factory gate to customer delivery.

With this growth comes increased competition for quality training programs – but don’t worry! This blog post will teach you what you should look out for when researching your options so that you can choose the best course available to suit your needs.

What is supply chain Management?

Supply chain management is the process of planning, organizing, and controlling the flow of goods and services from suppliers to customers. It involves forecasting demand, sourcing materials, and production, arranging transportation and storage, and maintaining quality control. Many companies consider their supply chains to be their competitive advantage.

Why are Supply Chain courses in demand?

Supply chain courses are in demand because they can help students and professionals gain skills to be at the forefront of change. These are the following factors why SCM course is high in demand:

Increasing globalization.

As global markets continue to grow, there is a high need for people with expertise in supply chains to manage international activities smoothly and ensure that everyone will be satisfied with their products or services.

Technological advancements.

The advancement of technology has made supply chains more complex than ever before. With so many different aspects of managing, it is essential to have well-versed in supply chain management principles and strategies.

How To Choose The Best Course for your need?

Many supply chain courses are available in the market, but not all of them are perfect for your need. Here are a few factors to consider before enrolling in an SCM course.

  • Certified Material: All supply chain courses are imperfect because many use non-certified material. You must ensure that your chosen system has a certified instructor and use only certifiable resources in their syllabus.
  • Education Level: The next factor is your education level. For instance, if your current professional designation doesn’t require supply chain courses, then it will be difficult for you to learn advanced concepts of any supply chain course.
  • Training Duration: The duration of the training is another vital factor that you need to consider before signing up for a supply chain certificate program. 
  • Job Outlook: Many supply chain courses are available in the market, but not all of them will provide you with job opportunities. So before choosing a system, make sure that it gives enough knowledge to work with various organizations and provides ample career opportunities after completing the program.

Explore More and Make a Career with Imarticus Learning

IIT Supply Chain management course allows professionals to make data-driven strategic, operational, and tactical choices. There is a scarcity of experts with process and analytical skills in the Supply Chain Management area. This supply chain analytics certification prepares students for jobs such as Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner, which are in great demand.

 Some course USP:

  • The E-Learning Centre IIT Roorkee provides the best supply chain analytics certification.
  • Impress employers & showcase skills with a career as a supply chain professional recognized by India’s prestigious academic collaborations.
  • This course provides students experience in hands-on learning with real-world SCM projects.

Contact us via the chat support system, or drive to one of our training centers in Mumbai, Thane, Pune, Chennai, Bengaluru, Delhi, Gurgaon, or Ahmedabad.

5 beginner friendly steps to learn neural network tutorial

Posted on by Imarticus Learning

A neural network mimics the human brain. The system architecture is made of artificial neurons and such a network can perform multiple functions in different industries. If you consider a career in the field of machine learning and neural networks, then a neural network tutorial is a must. You can start with a beginner-friendly tutorial and then move on to advanced topics of study. The AIML from Imarticus Learning is ideal for those interested in becoming specialists in the field. 

A Guide to Neural Network in 5 Steps

To understand a neural network, you need to understand the workings of such a network. If you opt for a Masters’s in artificial intelligence that includes a specialization in neural networks, it will be easier for you to grasp the concept and become an expert. 

A neural network has three distinct layers: the input layer, the hidden layer, and the output layer. Before we get into the details of the neural network tutorial, you need to understand how each of these layers functions. Now each layer is comprised of nodes and there can be more than one hidden layer.

As the name suggests, the input layer is responsible for recognizing and taking inputs, before transferring the signals to the next layer. Now, the hidden layers are where the back-end calculations occur. Once the results are obtained, the output layer transmits them. 

Now that you know the workings of each layer, it is important to take a look at how the network functions. Here are 5 steps that are involved in the working of a neural network. 

Step 1: Information Enters the Input Layer and Assignment of Weights

The data or the information is fed into the input layer. This then passes on to the hidden layer. At this interconnection, weights are assigned to every input. 

Step 2: Addition of Bias

The weights will multiply with each individual input. Once that happens, a bias is added to every input. 

Step 3: Transfer of Weighted Sum and Activation Function

The weighted sum, once obtained transfers onto the activation function. It is the activation function that decides which of the nodes can be used for the extraction of specific features. 

Step 4: Application Function

For the output layer to deliver, the deployment of an application function is necessary. It prompts the output layer to generate the output metrics. 

Step 5: Back-Propagation of Output

The weights need to be adjusted and then the output result is back-propagated. This helps to reduce errors. 

Using the above 5 steps, you can implement neural networks to approximate multiple functions accurately. To learn more about neural networks and move beyond the beginner level, you can opt for a course from Imarticus Learning. 

Learn Neural Networking from Imarticus Learning

Imarticus Learning offers certification in Artificial Intelligence and Machine Learning. We have designed this particular program with academicians and industry experts from the E&ICT Academy and IIT Guwahati. If you have a Bachelor’s or a Master’s degree in computer science, statistics, mathematics, economics or science and engineering with at least 50% in your graduation, then you are eligible for this course.

Our Artificial Intelligence and Machine Learning program include specialized topics like AI deep learning, machine learning, data science, and data analytics. Once you complete the course you will be able to seek job opportunities in all of these disciplines.

The mode of training for this course is online and we organize live lectures every week. You will spend 8 hours every week learning from the best academicians and professionals. We encourage students to interact and build networks during these sessions. At Imarticus Learning, we also provide hands-on training through 25 real-world business projects and more than 100 assignments. 

If you are interested in the current implementation of neural networks and wish to build a career in it, our certificate program is one of the best options. You can choose Imarticus Learning to gain excellent experience and engage with industry experts.

Develop the skills to become a supply chain analyst

Posted on by Imarticus Learning

Supply chain analysts are a key part of any business hoping to reach excellence in their operations. They develop efficient logistical methods by analyzing and supervising all the processes related to the supply chain management of a company.

Be it demand, cost, transportation, or even productivity, they have their thumbs into everything. This is why supply chain analysts are very high in demand. And, it needs specific requirements or eligibility to become supply chain analysts. In fact, if studies are to be believed the positions are only going to grow in numbers in the coming year. 

Considering this, it is the perfect time to do a course in supply chain management if you are looking for potential career scopes. There are lots of institutes in India that offer comprehensive courses in this domain. And, Imarticus Learnings has a cover-all, supply chain management course that will help you to learn all the desired skills you need to ace your career. You will also get excellent exposure which will put you in a league of your own.

Now, let us take a look at what this job entails and the skills that are required for a career as a supply chain analyst. 

Supply Chain Analyst: Job Description, Estimated Salary, and Prospects

The job market is supposed to grow about 5%, opening about 8,400 job opportunities across the United States. On a global scale, this number increases a lot more. As a starting salary, people can expect about $45,800. With years of experience, it can grow up to about $116,600 and the average annual salary stands at about $74,400.

As we stated before, this profile of supply chain analysts is high in demand and demanding as well. There are lots of things you need to do to fit into the job description. However, there are three major things that you need to be able to do. And, these are as follows:

 

  • Data analysis: Your job is to look for where the inefficiencies in the chain system lie and address them proficiently. The underperforming areas can be anything including productivity issues, changes in demands, delivery issues, weather problems, and so on. You need to be capable enough to find quick solutions for these problems. A lot of experts use professional tools like relational database management systems to analyze data in a faster and smoother way.

 

 

  • Improvement suggestions: This is one of the most important aspects of the job. After recognizing and addressing the concerns, you also need to put in suggestions that will help improve the plans and the system as a whole. During monthly sales and operations meetings, you will need to offer suggestions to the executives for a smoother experience all around.

 

 

  • Collaborate with different units: You will need to interact with employees across different units to come up with a plan that works for everyone. Based on the plan, the interactions then pan out to the vendors and even customers to negotiate proper deals and address their concerns. 

 

Skills you Need to Ace

Here is a list of skills that enhances your eligibility to become a supply chain analyst. 

  • Mathematical analytics
  • Analyzing big data samples quickly
  • Inventory management
  • Making educated predictions and plans
  • IT skills
  • Interpersonal connection skills

This is a tremendous career option for people who are looking for stable careers. Check out Imarticus Learnings’  supply chain management course by IIT Roorkee to gear up for your career as a supply chain analyst.

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