Publications by erika
Comparing Significance Level, Confidence Level, and Confidence Interval
What: This article highlights the importance of significance level, confidence level, and confidence interval in drawing conclusions and making informed decisions while working with data.Why: This article aims to help readers understand the differences and connections between these concepts and how they can be used to make informed decisions while ...
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Streamlining Process Efficiency With a Pareto Chart
In our data-centric world, tools that visualize data effectively are of paramount significance. One such tool is the Pareto chart. In the following sections, we will explore the concept, importance, and utilization of Pareto charts in enhancing efficiency. Below, you can learn more about Pareto charts and their significance in the business landscap...
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The Impact of Funnel Charts on Sales Data Visualization
In a fast-paced commercial world driven by data, effective data visualization tools have become indispensable assets. The ability to succinctly visualize large volumes of complex data enhances decision-making processes at all levels of a business. In this article, we will focus on one specific data visualization tool that is positively disruptive i...
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What Are the 8 Essential Steps for Successfully Executing a Data Analytics Project
Data Analytics allows researchers to optimise the process of collecting processing and analysing data. Ensuring that you have collected quality data from reputable sources improves the data resources you have at hand when you are developing conclusions based on the data you have collected. If you want inspiration you should look at completed data a...
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Optimizing Data Workflow: Integrating Data Science with PDF Tools
PDFs play a significant role in the world of data science where information comes in various forms. Whether it’s research papers, reports, or datasets, dealing with PDF documents is inevitable. Luckily, data scientists can leverage tools to extract, compress, and merge PDF data to improve their data workflow. In this blog post, we’ll explore ho...
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The Power of T-Charts in Data Analysis: A Comprehensive Overview
Data analysis is an essential tool for making informed decisions in various fields, from business and finance to healthcare and academia. To effectively analyze data, analysts use a wide range of techniques and tools, one of which is the T-chart. T-charts are powerful tools that can help simplify complex data sets, identify patterns, and make data-...
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Enterprise Data Warehouse: Concepts and Architecture
Enterprise Data Warehouse – DefinitionAn enterprise data warehouse is a centralized digital repository. It gathers, polishes, and stores vast amounts of data from every department of an enterprise.With a data warehouse, all the data is right there, always ready for analysis. So, instead of rummaging through multiple, disjointed databases or syste...
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How the training of the AI models works
IntroductionThe advent of Artificial Intelligence (AI) has unleashed transformative potential across industries. This article delves into the intricate processes underlying the training of AI models, shedding light on the algorithms that power this remarkable technology. As you embark on your journey to understand AI model training, consider the an...
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Data Cleansing: How Clean Data is the Foundation of Digital Transformation
Businesses are obsessed with digital transformation, however, they often fail at recognizing data as being the foundation of digital transformation. More importantly, quality data as being the backbone of most transformation projects. Data cleansing is a critical function to achieve data quality benchmarks, however, due to the lack of business conv...
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What is a Data Lake? Architecture and Tools
In an information-saturated world, many companies learn to benefit from the gigantic amount of data around us. Data is everywhere: millions of posts and breaking news are published and shared every single day. Internet users visit thousands of websites and make millions of purchases, leaving their digital footprint behind. Stock markets fluctuate, ...
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