The BAWorld

FEBRUARY 4, 2021

Business data analytics is an area of study that targets effective business decision-making as opposed to using the rigorous technical know-how through which data is analyzed. A business data analyst should possess industry and functional expertise as well as a deep understanding of the meaning of data in the business context.

Data Analytics 98

Data Analytics Data Analytics Visualization Data Mining 98

The BAWorld

NOVEMBER 22, 2021

What is Exploratory Data Analysis? We can define exploratory data analysis as the essential data investigation process before the formal analysis to spot patterns and anomalies, discover trends, and test hypotheses with summary statistics and visualizations. Univariate Plots. Histograms.

Data Visualization 52

Data Visualization Visualization Banking Business Analysis 52

The BAWorld

NOVEMBER 22, 2021

What is Exploratory Data Analysis? We can define exploratory data analysis as the essential data investigation process before the formal analysis to spot patterns and anomalies, discover trends, and test hypotheses with summary statistics and visualizations. What would you do?

Data Visualization 52

Data Visualization Visualization Banking Business Analysis 52

The BAWorld

SEPTEMBER 16, 2021

Data visualization is an essential step in the analytics life cycle. Before we dive into the topic, let us check the sales and profit data in different regions for various products. Using just numbers from the data set, getting to the correct answer is very daunting. This was created using Tableau.)

Data Visualization 52

Data Visualization Visualization Healthcare Business Analysis 52

Marutitech

JANUARY 21, 2022

A growing number of data science projects has led to an increase in the demand for data science managers. It is natural to think that any project manager can do the job or that a good senior data scientist will make an excellent data science manager. 5 Key Concepts of Data Science Management . Engage stakeholders.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., Big Data Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

ElegantJ BI

MAY 31, 2021

Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gage its condition and predict when maintenance work is needed. Better the data, Profound is the insight! If we have data, let’s look at it! Any kind of analysis initiates by looking upon the data.

Logistics 130

Logistics Visualization Monitoring Planning 130

ElegantJ BI

MAY 31, 2021

Predictive maintenance of machines helps in evaluating the timely collected machine data in order to gage its condition and predict when maintenance work is needed. Better the data, Profound is the insight! If we have data, let’s look at it! Any kind of analysis initiates by looking upon the data.

Logistics 130

Logistics Visualization Monitoring Planning 130

The BAWorld

NOVEMBER 28, 2021

Exploratory Data Analysis (EDA) tools provide a better understanding of the data variables and their relationships. This, in turn, helps in deciding how to manipulate data for complex analysis, like determining the machine learning algorithm, features selection, and creating new features using business knowledge.

Data Quality 92

Data Quality Visualization Business Analysis Business Analysis 92

Juice Analytics

DECEMBER 1, 2020

From Edward Tufte's Visual Explanations, a diagram based on Salman Rushdie‘s description of the Indian epid Kathasaritsagara or Ocean of the Streams of Story. The hot new concept in data visualization is "data storytelling"; some are calling it the next evolution of visualization (I'm one of them).

Data Visualization 133

Data Visualization Visualization Data Management 133

The BAWorld

NOVEMBER 25, 2021

And this is what data scientists in their language call ‘Exploratory Data Analysis (EDA). . In this article, let’s understand the basics of exploratory data analysis. What Is Exploratory Data Analysis ( EDA)? Why is Exploratory Data Analysis Important?

Banking 52

Banking Business Analysis Business Analysis Visualization 52

The BAWorld

NOVEMBER 26, 2021

Exploratory Data Analysis (EDA) has been around since the early 1970s! He explains EDA as: “Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there.” Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 26, 2021

Exploratory Data Analysis (EDA) has been around since the early 1970s! He explains EDA as: “Exploratory data analysis is an attitude, a state of flexibility, a willingness to look for those things that we believe are not there, as well as those we believe to be there.” (p. Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Sisense

JUNE 26, 2020

The human brain processes visual data better than any other kind of data, which is good because about 90% of the information our brains process is visual. Visual processing and responses both occur more quickly compared to other stimuli. This where the power of visualizations is apparent.

Data Visualization 97

Data Visualization Visualization Vision Big Data 97

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. A classification model distinguishes among two or more discrete values or separates data into different classes, like whether an email is a spam or not, will the customer pay his loan on time or not. Also, see data visualization.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Marutitech

SEPTEMBER 24, 2021

Here, we have prepared a detailed guide to help you understand the need and importance of regression testing in software engineering and its strategies, tools, and techniques. Here, the application was initially designed for iOS 8, so the developers used XCode6 IDE. Using Smoke and Sanity Test Cases. What is Regression Testing?

IBM Maintenance 76

IBM Maintenance IBM Support IBM cost Agile 76

Marutitech

JUNE 30, 2022

As technology progresses, astronomical data creation is inevitable. According to a report by Statista Research Department, global data creation is projected to grow to more than 180 zettabytes by 2025. With so much data being generated, it is challenging for businesses to organize and derive insights from the sea of unorganized data.

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

Whizlabs

JANUARY 27, 2021

These are for various positions such as developer, architect, admin, and others with specialties like big data, security and networking. AWS Big Data Expert. AWS Data Analyst. Knowledge of AWS services and the common use cases. Basic knowledge of IT solutions and services, and their uses in the AWS platform.

Big Data 105

Big Data Data Analytics Data Analytics Monitoring 105

Juice Analytics

SEPTEMBER 13, 2021

With the popularity of our list of 20 Best Data Storytelling Examples , we thought it worth finding some more data stories for inspiration. The good examples in this list demonstrate how to combined data visualization, interactivity, and classic storytelling. of data stories gone wrong.

Data Visualization 140

Data Visualization Visualization Innovation 140

Juice Analytics

MAY 6, 2021

Data storytelling is quickly becoming a popular mode for presenting data. It combines text and graphics with data visualizations to guide an audience. Traditionally, people have used tools like PowerPoint and Excel, as well as traditional dashboard and business intelligence platforms, to communicate in this way.

Visualization 77

Visualization Data Visualization Business Intelligence Business Intelligence 77

Insight Software

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. These capabilities are to be made available inside the applications people use every day. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52