May 30, 2023 – Finance, Tech & Analytics Career Resources

Integrating Demand Planning in Digital Supply Chains

Posted on May 30, 2023April 8, 2024 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

Effective supply chain management has become essential to any company’s success in today’s fiercely competitive business environment. Digital supply chains are gaining popularity as more businesses rely on various technologies to manage and optimise their supply chains and associated processes.

By integrating demand planning into digital supply chains, businesses can improve the most important aspects of their supply chains, such as inventory, forecasting, supply pipelines etc.

Let us learn more with this blog.

What is demand planning in supply chain management?

Demand planning is a crucial component of supply chain management that entails forecasting customer demand and developing strategies to meet that demand efficiently. It involves estimating the expected demand for goods or services and devising strategies to ensure supply meets demand.

To accurately forecast future demand, businesses must analyse historical sales data, market trends, customer behaviour, and other relevant factors. Overestimating or underestimating demand can result in inventory shortages or surpluses, leading to lost sales or excess inventory carrying costs, and can have a significant impact on a company’s financial performance.

Demand planning in digital supply chains

Thanks to digital supply chains, businesses can capture and analyse massive amounts of data from various sources, such as social media, sales transactions, and customer feedback. This data can be used to improve the accuracy of demand planning, allowing businesses to understand customer demand patterns better and adjust their supply chain accordingly.

Additionally, digital supply chains enable businesses to optimise inventory management and reduce inventory carrying costs by providing real-time visibility into inventory levels.

Why is demand planning beneficial in supply chains?

Effective demand planning ensures that businesses have the right products available at the right time, reducing lead times and increasing order fulfilment rates, resulting in higher customer satisfaction.

Here are some benefits of effective demand planning in supply chains:

Improved Inventory Management: Demand planning allows businesses to optimise their inventory levels, ensuring that they have enough stock to meet customer demand, lowering inventory carrying costs, and minimising stockouts.

Increased Operational Efficiency: By streamlining supply chain processes, reducing waste, and increasing productivity, demand planning can improve operational efficiency.

Improved Collaboration: Demand planning can improve collaboration among supply chain partners by allowing suppliers and manufacturers to plan production schedules, reducing lead times and ensuring the timely delivery of products.

Effectively integrating demand planning in digital supply chains

The following are some essential steps that businesses can take to integrate demand planning into their digital supply chains effectively:

Adopt a Collaborative Approach: Effective demand planning necessitates collaboration among supply chain stakeholders such as suppliers, manufacturers, and distributors. Businesses should use digital technologies to create real-time communication channels among supply chain partners to share information, coordinate planning, and optimise processes.

Utilise Data Analytics: Data analytics is critical in demand planning because it allows businesses to capture and analyse massive amounts of data from various sources, such as sales transactions, customer feedback, social media, and market trends. To develop accurate demand forecasts, businesses should use advanced analytics tools such as machine learning and predictive modelling to gain insights into customer behaviour, demand patterns, and other relevant factors.

Create Agile Supply Chain Processes: Digital supply chains enable businesses to create agile supply chain processes that can respond quickly to changes in customer demand. Businesses should implement adaptable production and inventory management processes that can respond to changes in demand in real-time, reducing lead times and increasing order fulfilment rates.

Embrace Automation: Automation can significantly improve demand planning efficiency in digital supply chains. Automation technologies such as robotic process automation (RPA) and artificial intelligence (AI) should be used by businesses to automate routine tasks such as data entry, forecasting, and reporting, freeing up resources for more strategic activities.

Monitor Performance: Performance should be monitored on a regular basis using key performance indicators (KPIs) such as demand forecast accuracy, inventory turnover, and order fulfilment rates. This will allow them to identify areas for improvement, optimise supply chain processes, and continuously improve the effectiveness of demand planning.

Adopt Continuous Improvement: Demand planning is an iterative process requiring continuous improvement. Businesses should review and update their demand planning strategies on a regular basis to reflect changes in market trends, customer behaviour, and other relevant factors, ensuring that their digital supply chains continue to meet customer demand effectively.

Conclusion

Integrating demand planning effectively into digital supply chains necessitates the use of data analytics, the establishment of agile supply chain processes, the acceptance of automation, the monitoring of performance, and the continuous improvement of processes.

These go a long way towards assisting businesses in remaining competitive in a highly dynamic business environment.

If you wish to learn more about digital supply chains, you can check out the Advanced Certification Programme in Digital Supply Chain Management by Imarticus. This programme will help you secure a career In digital supply chain management and help you gain all the necessary skills to become a Supply Chain Manager.

Google Ads: Basics of Running Google Ads and Google Analytics for Digital Marketing

Posted on May 30, 2023April 2, 2024 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

A paid platform offered by Google for online product promotion or marketing is termed Google Ads. Based on the preference of the platform, the Ads may be launched over different Google applications like a Search Engine Response Page (SEPR) as a website, as videos over YouTube, as text and image content over Gmail, Play Store, Google News etc.

Google Ads is a subject for a candidate enrolling in a digital marketing course. The quality of the advertisement is directly connected to the lead it generates and determines the charges an advertising company needs to pay to Google.

Working Methodology of Google Ads

The basic system of operation is pay-per-click. Using the search engine platform, the basic purpose is to rank within the first five searches and grab the eyeballs of prospective users.

The advertising company not only needs to work on the content of the advertisement but also must determine the perfect keywords to generate desired search results. For video promotions, the marketing company needs to attach it as a precursor to the main topic video making sure that the subject interest is somewhat aligned in both cases.

Types of Advertisement

Based on the target audience, the various types of marketing promotions are as follows –

Search Campaign
Shopping Campaign
Display Campaign
Video Campaign
App Campaign

Promotions may be launched as websites over text messages, images, videos, graphics or a combination of all or some of the modes. The advertising company may decide when the advertisements can go live and can attach a schedule to them. Marketers can also decide the geography and population mix for their advertisement, based on the relevance, interest and availability of the products or services.

Steps of Running Google Ads

After signing up with a new account, beginners may follow a few simple steps to launch their advertisement with Google. Choosing amongst the options provided may seem to be a bit tricky since they depend on the nature of the product to be advertised and its target audience. The steps for running Google Ads are mentioned below –

Advertisement goal

Marketers must choose a specific goal. Options available are creating brand awareness over video views, getting clients to visit physical store locations or getting more website sign-ups.

Campaign types and settings

Advertisers must fix up a campaign type best suited for a given product. In the initial days, it is advisable to run a specific advertisement goal with a fixed campaign type. However, based on feedback and experience gathered, both may be catered to in multi-dimensions.

Advertisers are then required to set up a campaign name and may also add Google’s partner or network websites to the campaign.

Scheduling Ads

Campaigns need to be scheduled with respect to time, the right population mix, geography, location, and language.

Budget

This is the most important issue for an advertising company. One should investigate the industry standards for similar products and decide upon the initial expenses. However, the budget should be enhanced at a later stage based on the growth of the business.

Selecting bid strategy

Google offers manual, automatic and semi-automatic bid strategies. A beginner should ideally follow the artificial intelligence-based, fully automatic strategy. However, after gaining expertise and experience, manual methods may be selected.

Keywords

Digital marketing is highly dependent on the keywords chosen. The advertising company must take a call on whether he should go for an exact match, a phrase match or a broad generic match. Negative keywords should be avoided since these lead to misunderstanding of the user and the advertisement lands upon the user with a related but different requirement.

Device targeting

Laptops, tablets, and cellular mobiles are the general devices to be targeted by advertising companies.

Landing page

Every promotion succeeds with a powerful presentation. The landing page is the first visual of the advertisement to a user. Ideally, it should have a crisp coverage of the technical aspects of the product and a user-friendly, clean and attractive interface.

Google Analytics

It is essentially a web analytics tool that is designed to provide both macro and micro details on the website of the marketing agency and/or the performance of the advertisement campaign with respect to its key metrics. It also predicts course correction by offering specific solutions to complex problems. However, the marketing agency is required to invest more time into this tool to extract the maximum benefit.

Google Analytics refers to new and upcoming challenges to the relevant industry and provides parameter-based analysis. Successful digital marketing must use an analytical web tool for monitoring its performance on a regular basis. The specific benefits of Google Analytics to are as follows –

Find target audience

Target audience suggestion in terms of schedule, population mix and geography is a key function of this tool.

Track online traffic

Traffic from search engines, social platforms, direct or referral links, emails etc. is tracked separately.

Analyse user behaviour and preferences

Bounce rates, behaviour flows, average session duration, exit rates, etc. may be monitored.

Data reports and tailor-made customisation

This tool generates reports, dashboards alert etc. with a wide range of third-party support.

Industry analysis and offering new ideas

The tool provides important market analysis on several parameters. This information must be accessed by advertising companies to make changes to an existing campaign.

Website design analysis and improvement

The quality of the website and its responsiveness in terms of ease and information is a key parameter in marketing. This tool offers guidance towards the same.

E-commerce performance

It also helps to upgrade advertisements posted on E-commerce platforms.

Conclusion

Digital marketing course helps aspiring candidates learn not only the nuances of conventional marketing but also the tricks of a successful website design, thumb rules of digital advertisements and much more.

The Post Graduate Program in Digital Marketing by Imartcus will give the prospective candidate a perfect start to their career. The duration of the course is 6 months and the mode of training is offline. Visit the official website of Imarticus for more details.

Industries That Were Transformed by Data Analytics

Posted on May 30, 2023April 8, 2024 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

In modern times, big data has taken the world by storm. Initially, the analysis of huge amounts of data was a time-consuming process and often prone to errors. However, with the advent of technology, the process could be automated. New analytical tools have changed the way in which we analyse, manage, and interpret data, and have made it easy for businesses to make data-driven decisions.

As these new technologies have emerged, a career in data science looks like a lucrative option that many youngsters are opting for. There are many data analytics courses that have come to prominence as they are helping youngsters gain an edge in their careers.

This article discusses the number of industries that have been transformed by data analytics and how a data analytics course can give a vent to new career opportunities. Read on to find out.

About Data Analytics

Before we delve deeper into the discussion, let us have a look at what data analytics is. Data analytics refers to the process of analysing humongous amounts of raw data and identifying trends in order to answer certain questions. It is an amalgamation of business, technology, and statistics that help in providing a clear picture of a scenario at different points in time.

Data analytics aims at maximising the productivity of businesses and by figuring out ways in which the results can be enhanced. The main processes in data analysis include the collection of data, data processing, analysis, and finally presentation of the results.

Data analytics is used in multiple industries as it helps business leaders to make decisions that are backed by data. Data analytics techniques help businesses make informed decisions that are backed by strong evidence. For instance, a company that manufactures sneakers may use data analytics to understand customer preferences and determine which design is liked by the customers, and which one they should retire. Data scientists incorporate the use of OOPs concepts and reduce the complexity of data, which can streamline the process of analysis.

This article talks about the industries that rely on data analytics for the most accurate decisions. You will also get an idea about how a data analytics course can open up a plethora of opportunities for you. Read on to find out.

Industries that Use Data Analytics Techniques for the Most Accurate Results

Health Sector

The healthcare sector is one of the largest sectors that incorporates the use of humongous amounts of data. With the advent of technology in different spheres such as laboratories, claims systems, radiology systems, and health records, there are exorbitant amounts of financial as well as clinical data. But for some advanced technology, it is not possible to analyse such huge amounts of unstructured data.

The use of AI and machine learning has helped to reform the health sector by providing improved healthcare services to patients, better diagnosis, automation of tasks, and so on. The healthcare sector deals with sensitive information which may have life-altering outcomes. Big data allows the possibility to gather data and analyse it in a jiffy, which makes it easy to make prompt choices related to treatment and other long-term plans.

Banking and Finance

The use of Big Data has facilitated banks and other financial institutions to simplify their operations and service delivery systems. With the help of advanced analytics, banking, and finance institutions can cater to the needs of customers by determining their transaction patterns and banking history. This helps the customers enjoy a personalised experience.

Just like the health sector, the banking and finance industry also houses a lot of sensitive data, which should be safeguarded against fraud. Advanced technologies have unique algorithms that can smell the stench of dubious activities. This helps to make sure that sensitive data is not leaked and that fraudulent activities are avoided.

Financial institutions also count on big data analytics techniques to assess the creditworthiness of customers before lending a loan and understand if a customer is financially stable enough to be able to repay a debt. An understanding of a customer’s spending habits and the nature of transactions can help financial institutions in effective risk management.

Transportation and Logistics

Data analytics has proved beneficial for transportation and logistics as well. Companies use advanced technology to gather data from their fleets. These data help to improve the driving behaviour, or optimise the routes so that the deliveries can be made on time.

Not only this, but data analytics is also useful in efficient stock management. Warehouses have digital cameras and shelf-level sensors that monitor stock levels. There are pre-set programs that send alerts when the stocks need to be refilled.

Apart from these, two other sectors that deserve a notable mention for incorporating the use of data analytics are agriculture and the manufacturing sector. The use of data analytics in the field of agriculture helps to reduce wastage through accurate forecasts of demand and supplies. Similarly, in the manufacturing sector too, data analytics helps to identify trends and decide on the factors that can deliver the most effective results.

Conclusion

It is quite evident that data analytics techniques have resulted in the transition of decisions based on guesswork to decisions that are backed by robust data. Big data technologies and analytical tools help to solve issues while also increasing the scope for newer opportunities.

If you are looking forward to developing a career in data science, a postgraduate data analytics course by Imarticus Learning may be of great help to you. This course will teach you a wide range of topics starting from the basics of Excel to more advanced topics such as Python programming, data visualisation using Tableau and Power BI, SQL, statistics, etc. The course will help learners acquire knowledge about the real-world implications of data science, through which they will be able to optimise the business outcomes of an organisation.

Check out the website of Imarticus Learning to know more.

UAE – The Future Of Corporate E-Learning: Emerging Trends And Technologies

Posted on May 30, 2023April 2, 2024 by Imarticus Learning

Last Updated on 2 years ago by Imarticus Learning

Introduction

Technology is developing at a fast pace these days. It is paving the way for more engaging and productive learning experiences for modern learners. The use of online or electric (e-learning) platforms, especially, is gathering steam. Organisations worldwide are tapping new-age corporate e-learning solutions to train, develop and upskill their workforce.

As per a report, the corporate e-learning market will increase by $38.09 billion between 2020 and 2024. In the coming years, digital learning will evolve as an effective tool for upskilling employees, enhancing productivity and driving business growth. Emerging technologies will add substance, relevance and personalisation to the learning experience.

This article lays out the emerging trends and technologies that will shape the future of corporate e-learning.

Emerging Trends in Corporate E-Learning

Microlearning

This emerging technology encompasses giving small, bite-sized learning units to employees. It promotes easier content comprehension and retention. Learners can consume content through videos, podcasts, infographics, simulations and interactive modules.

Gamification

It involves using game mechanics as an integral e-learning technique. Playing games makes online learning more engaging and motivating for learners. Gaming elements, such as points/scores, badges, leaderboards and progress tracking, add fun and competition features to the learning process. Leveraging innovative gaming tools will provide interactive and gamified experiences to employees in the future.

Personalisation

The corporates will prioritise providing personalised and impactful learning experiences to their employees in the future. They will focus on facilitating a learning environment where the employees can learn at their own pace. The Learning and Development leaders will invest in personalised training plans to cater to the distinct business needs and work ethics.

The future custom corporate e-learning solutions will use flexible and adaptive learning algorithms. It will have learning content tailored to the specific training needs of learners. The new-age programmes will provide flexibility to function online or offline, accessible through an app or a web browser and on mobile and desktop devices. Artificial Intelligence will help personalise learning content and provide real-time feedback to learners.

Virtual and Augmented Reality (VR/AR)

VR/AR are productive tools to create a fully immersive e-learning environment. This technology allows learners to practise skills and scenarios in a safe and simulated setup. As a part of emerging corporate e-learning solutions, VR/AR will help employees learn complex digital concepts, simulate intricate processes and apply their knowledge in real-world situations.

Mobile Learning

It is an emerging trend that will be a boon for employees working in remote locations. They will use their mobile devices to access learning content anytime and from anywhere. Learning on the go will be a convenient and flexible learning method for time-crunched corporate employees.

To Sum Up

Corporate e-learning solutions are constantly evolving to meet the changing needs of the modern workplace. The future of corporate e-learning is promising and exciting. The emerging trends will make learning more interactive, engaging and personalised for future learners. The focus will be on custom corporate e-learning to devise a customised learning path for each employee.

Imarticus – An Innovative Platform for Corporate E-learning Solutions

Imarticus Learning is an ed-tech company offering e-learning solutions to companies. We provide customised training plans that align with their mission. We help corporates analyse their upskilling needs. Our industry-relevant programs facilitate transforming your workforce using advanced technological tools. Contact us to get more details about our custom corporate e-learning solutions.