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WILL ARTIFICIAL INTELLIGENCE RENDER DATA ANALYSTS USELESS?

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  Introduction Artificial Intelligence (AI) has rapidly evolved and permeated numerous aspects of our lives, revolutionizing industries such as healthcare, finance, and transportation. With its ability to process vast amounts of data, draw insights, and make predictions, it is natural to wonder if AI will render human data analysts obsolete. In this blog post, we will explore the role of AI in data analysis and examine whether it will make data analysts useless or create new opportunities for collaboration. The Rise of AI in Data Analysis AI has significantly enhanced the capabilities of data analysis by automating repetitive tasks, accelerating data processing, and uncovering patterns that humans may overlook. Machine learning algorithms can quickly analyze large datasets, identify correlations, and generate accurate predictions. Additionally, AI-powered tools can handle complex statistical analyses, perform sentiment analysis on text, and even generate natural language summaries ...
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The Benefits of Supply Chain Analytics for Company Revenue

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Businesses have several difficulties with supply chain management (SCM), including a need for more transparency, production scheduling, and team synchronization. Intelligent data analytics are used by businesses in the manufacturing, retail, and fast-moving consumer goods (FMCG) industries to address these issues. Supply chain analytics is the phrase for this. Companies can use it to determine consumer preferences and forecast future product or service demand. Let's examine supply chain analytics in more detail. Supply Chain Analytics: What Is It? It alludes to the improvement of supply chain procedures through the application of big data analytics. Simply put, it refers to using various tools to analyze the data gathered during the SCM process and extract real-time insights to enhance logistics and the SCM environment. Three main elements make up supply chain analytics: a software platform, data analytics, and data visualization. Data analytics makes it easier to get insightful ma...
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ASHY PLC SALES REPORT

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 Introduction Ashy PLC is a large retail company with a many outlets across the United States. The company sells variety of products ranging from electronics, offices supplies to home appliances.  The company want to expand its operation across the globe and management want to have a comparative analysis of its sales performance from 2014 to 2017. Purpose of Project This project is aimed at comparing revenue performance of Ashy for the period 2014 to 2017 and advice management on best ways to maximize profit.  The project will discuss as much insights as possible to improve performance. Asking the Right Questions I started this project by asking some vital questions which are fundamental to the success of this project. I need to understand who the stakeholders are, the source of data and the business problem. I asked the following questions; Who are the stakeholders What is the business problem the company want to solve What are the sources of data Which people will make ...
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ASKING THE RIGHT QUESTION AS A DATA ANALYST

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To solve a business problem, data analysts must ask the right questions. Asking effective questions leads to getting the right insights from your analysis. Asking the right questions is the first step in the data analysis process. As data analysts, we ask a lot of questions. However, many beginner data analysts do not pay attention to this important step. The more questions you ask, the more you will learn about your data and generate more powerful insights from your analysis. It is good to ask questions, but some questions are effective while some are ineffective. The ability to ask the right questions is a skill set all data analysts must have. How to Ask Effective Questions Effective questions follow the SMART model. Specific, Measurable, Action-oriented, Relevant and Time-bound.  Specific questions are simple and focus on the most significant thing. Asking specific questions means you will get only the answers that are significant to the project. This will help you avoid being...
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GETTING STARTED WITH DATA ANALYTICS

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dashboard Businesses need data specialists now more than ever. With a surge in demand for data professionals, many people are undergoing self training to fill the vacancies in the data space. There are many roles in the field of data. Data scientists, data engineers and data analysts are some roles in data analytics with high demand for skilled workers.  Many people are willing to dive into the field of data analytics. However, the question remains, 'how can one become a self-trained data analyst'? In this article, we shall look at the essential skills that are needed to get started as a data analyst. Having gone through this process myself, I have noted some key things that may be essential to every aspiring data analyst.  TECHNICAL SKILLS  There are different schools of thought on which technical skills are necessary and in which order one should learn them. Having been here myself and after making so many mistakes in my journey before finding my foot, these are the tec...
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BIKE SALES ANALYSIS WITH MS EXCEL

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Introduction This project was an analysis of a Bike Selling Company`s dataset of its potential customers. This project was undertaken as a challenge by my mentor,  Alex the Analyst. The purpose of this project was to, among others; Find the correlation between income of citizens and their ownership of bikes. The relationship between marital status and owning a bike. If the distance people commute to work affect their bike purchase. How the education level of people influence their willingness to buy bikes. The relationship between different age groups and their purchase of bikes. Any other insight that may arise from the analysis. Data Gathering and Transformation The dataset was downloaded from Github. The link to the dataset was provided by Alex the Analyst , a mentor in the data community. To get the data, I simply clicked the link provided under his Youtube video and was taken to his Github Repository. The dataset was downloaded and converted to excel sheet. Cleaning the Data T...
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WHAT IS DATA ECOSYSTEM

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An ecosystem, to put it simply, is a collection of components that communicate with one another. The jungle in a tropical rainforest or the amazon rain forest are examples of vast ecosystems. The germs on your skin may also be small, like tadpoles in a puddle. Additionally, data has its own ecology, just like the kangaroos and koala bears that reside in the Australian desert. Data is produced, managed, stored, organized, analyzed, and shared through the interaction of many different parts that make up data ecosystems. These components include the people who use the tools, as well as the technology and software. The cloud is another place where data can be found. Instead of storing data on a computer hard disk, you can use the cloud. So, data is accessed through the internet rather than being stored somewhere inside your company's network. As a data analyst, it is your responsibility to make the most of the cloud's role in the data ecosystem, locate the pertinent data, and offer...
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