Juice Analytics

DECEMBER 17, 2018

Scatter Plot. The scatter plot is a common visualization for data exploration. Christmas is a special time of year. We all have our favorite aspects of the season. In the spirit of Christmas and the Christmas carol, the 12 days of Christmas, here are the Juice team’s 10 favorite visualizations. Ranked List. Distribution.

Visualization 53

Visualization Data Visualization 53

Tableau

DECEMBER 28, 2020

Or, if you have taken virtual training, you may wonder what Tableau’s has to offer. For example, to make complex topics more relatable—they may use ice cream sales to help you understand Scatter plots or superheroes to discuss Sets and combined Sets or even cookie recipes to get you more familiar with Relationships. Guess what?!

Planning 77

Planning 77

The BAWorld

NOVEMBER 28, 2021

What is Exploratory Data Analysis? What Is Data Wrangling? The primary purpose of data scientists is to find a suitable data science model for the massive amount of data. A data science model refers to organizing the data elements and extracting meaningful insights from raw, unstructured data. You can explore more here.

Visualization 52

Visualization Data Visualization Data Discovery Data Quality 52

Perceptual Edge

AUGUST 19, 2019

What we see once we shift perspectives is the same, no matter how we get there. Imagine yourself in the midst of a 3-D scatter plot, with data points all around you. What might seem cool about VR navigation on the surface would be dysfunctional in actual practice when viewing data visualizations. by wearing a VR headset).

Data Visualization 62

Data Visualization Visualization Vision 62

Data Pine

JUNE 7, 2022

But, by knowing what to look for, you can avoid connecting with metrics that will lead your organization down the wrong path. Take heed of these poorly arranged visuals and you will know exactly what to look for when analyzing your business’s most invaluable data. Let’s get started. Truncated Y-axis. Omitting Data.

Data Visualization 107

Data Visualization Visualization Digital Real-time Data 107

Sisense

JULY 17, 2019

Widgets that follow the top-level should explain, in more detail, why a top-level KPI is what it is. If you Google “data visualization” or “dashboard design,” which is likely how you ended up reading this, you’ll probably find examples of beautiful widgets and dashboards that leave you wondering, “How can I make these for my business?”.

Visualization 71

Visualization Data Visualization Monitoring 71

Tableau

DECEMBER 28, 2020

Or, if you have taken virtual training, you may wonder what Tableau has to offer. For example, to make complex topics more relatable—they may use ice cream sales to help you understand scatter plots or superheroes to discuss sets and combined sets or even cookie recipes to get you more familiar with relationships. Guess what?

Planning 52

Planning 52

Marutitech

MARCH 10, 2022

With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?” Doing this will ease your task and help you better understand what is expected from the project implementation. . ” Thankfully, there is predictive analytics.

Predictive Analytics 130

Predictive Analytics IBM Maintenance E-Commerce IBM Support 130

Agile Velocity

APRIL 16, 2020

In doing so, leaders can easily lose the plot: people still matter. . All of us need to regularly have the experience that what we do matters, that it is valuable and that our presence makes a difference to others. What the person has done doesn’t have to be a huge thing. Great Leadership Skills. Small experiments.

Agile 64

Agile Planning 64

The BAWorld

OCTOBER 19, 2021

A narrative coupled with data helps explain to the audience what the data is telling. In this scenario, compelling data storytelling can change the picture by engaging the audience and encouraging a broader and open conversation about what the data is telling. What are the key steps to consider while framing a data story?

Visualization 52

Visualization Data Visualization Finance Retail 52

Sisense

JUNE 26, 2020

What are data visualizations? They help users explore data through visual elements like charts, graphs, plots, maps, and other visualizations. In Next-Level Moves , we dig into the ways advanced analytics are paving the way for the next wave of innovation. The good news is, you don’t have to!

Data Visualization 97

Data Visualization Visualization Vision Big Data 97

The BAWorld

NOVEMBER 26, 2021

Learning what you can do using the data available will make your final analysis more robust and effective. It was defined by John Tukey, a great mathematician & statistician. He gave a very apt simile to EDA – an investigation carried out by a detective. EDA techniques reveal the true nature of the data. Why is EDA Important?

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Data Pine

FEBRUARY 23, 2023

Table of Contents 1) What Are Graphs And Charts? What Are Graphs And Charts? It uses different symbols such as bars, lines, columns, tables, box plots, maps, and more, to give meaning to the information, making it easier to understand than raw data. Let’s start this journey by looking at a definition.

Data Visualization 71

Data Visualization Visualization E-Commerce Procurement 71

The BAWorld

NOVEMBER 22, 2021

What is Exploratory Data Analysis? What would you do? You would see how far you want to travel, what kind of cuisine you are craving, can you book a table so that you don’t have to wait, and of course the price range. Univariate Plots. Univariate plots show the frequency or the distribution shape of a variable.

Data Visualization 52

Data Visualization Visualization Banking Business Analysis 52

The BAWorld

NOVEMBER 22, 2021

What is Exploratory Data Analysis? What would you do? You would see how far you want to travel, what kind of cuisine you are craving, can you book a table so that you don’t have to wait, and of course the price range. Univariate Plots. Univariate plots show the frequency or the distribution shape of a variable.

Data Visualization 52

Data Visualization Visualization Banking Business Analysis 52

The BAWorld

NOVEMBER 26, 2021

Learning what you can do using the data available will make your final analysis more robust and effective. It was defined by John Tukey, a great mathematician & statistician. He gave a very apt simile to EDA – an investigation carried out by a detective. EDA techniques reveal the true nature of the data. Why is EDA Important?

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 25, 2021

And this is what data scientists in their language call ‘Exploratory Data Analysis (EDA). . What Is Exploratory Data Analysis ( EDA)? Imagine you and your friends decide to hang out and visit a place that you have never heard of before. Is it safe to go there? And to get a preview, you would also search for the location online.

Banking 52

Banking Business Analysis Business Analysis Visualization 52

Astera

OCTOBER 31, 2023

A study by Harvard Business Review reveals that only 3% of data is reliable. The rest have errors, inconsistent values, varying formats, and missing or duplicate information. To deal with these issues effectively, we must identify the extent of these problems and devise strategies to improve data quality. Why Is Data Exploration Important?

Visualization 40

Visualization Data Quality Monitoring Information Technology 40

Perceptual Edge

SEPTEMBER 11, 2019

[Note: To make it easy for you to read this article offline and to share it with others, I’ve made a PDF version available as well.]. Almost all data visualizations are multivariate (i.e., they display more than one variable), but there are practical limits to the number of variables that a single graph can display.

Data Visualization 88

Data Visualization Visualization Innovation Digital 88

Monday

SEPTEMBER 27, 2022

Ensuring your idea has an audience and figuring out exactly what those customers want is the single most important step of product development. Ensuring your idea has an audience and figuring out exactly what those customers want is the single most important step of product development. What is a Kano model template?

Documentation 52

Documentation Visualization Digital Planning 52

Tableau

AUGUST 31, 2020

AI can not only enable enterprises to better understand current business conditions, but also to predict what will happen in the future and take actions based on those predictions. The scatter plot displays each profitable opportunity that Aible has identified, colored by the customer type.

Artificial Intelligence 53

Artificial Intelligence Digital Transformation Visualization Digital 53

Sisense

MAY 18, 2021

That feeling of figuring out the perfect anecdote for an ad, tagline for a brand, or video concept for a new product launch is what keeps so many marketers going. That feeling of figuring out the perfect anecdote for an ad, tagline for a brand, or video concept for a new product launch is what keeps so many marketers going.

Data Analytics 52

Data Analytics Data Analytics Visualization Data Visualization 52

Tableau

AUGUST 31, 2020

AI can not only enable enterprises to better understand current business conditions, but also to predict what will happen in the future and take actions based on those predictions. The scatter plot displays each profitable opportunity that Aible has identified, colored by the customer type.

Artificial Intelligence 52

Artificial Intelligence Digital Transformation Visualization Digital 52

Astera

OCTOBER 11, 2023

What is Data Merging? Data stored separately includes several problems like: Scattered information makes it difficult for analysts to parse various data sets to interpret the data correctly and make the right decisions. These various tools tend to collect similar information, resulting in duplicates. When is Data Merging Needed?

Visualization 52

Visualization Digital Digital Transformation Finance 52

Perceptual Edge

MAY 14, 2018

Few data technologies are subject to more hype these days than VR-enabled data visualization. I have never seen a single example that adds value and therefore makes sense. Those who promote it don’t base their claims on actual evidence that it works. Instead, they tend to spout a lot of misinformation about visual perception and cognition.

Data Visualization 65

Data Visualization Big Data Visualization Artificial Intelligence 65

Data Pine

APRIL 11, 2019

First, we’ll delve into the power of data storytelling as well as the general dynamics of a storytelling dashboard and what you can do with your data to deliver a great story to your audience. What Is Dashboard Storytelling? Plato famously quipped that “those who tell stories rule society.” Big data commands big stories.

Data Visualization 67

Data Visualization Visualization Retail Healthcare 67

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Data Analytics Terms & Fundamentals. Classification Model. Completeness. Conformity. Consistency. Dashboard. Data Cleaning.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

ElegantJ BI

FEBRUARY 12, 2021

Now that we have a good understanding of what medical cost prediction use-case is, the next obvious step is to analyze it. The goal is to figure out what to do with the data! Rising medical costs have been a major public health concern hence getting an understanding upon the contributing factors is very crucial.

Healthcare 130

Healthcare Visualization Data Analytics Data Analytics 130

ElegantJ BI

FEBRUARY 12, 2021

Now that we have a good understanding of what medical cost prediction use-case is, the next obvious step is to analyze it. The goal is to figure out what to do with the data! Rising medical costs have been a major public health concern hence getting an understanding upon the contributing factors is very crucial. Examine the dataset.

Healthcare 130

Healthcare Visualization Data Analytics Data Analytics 130

The BAWorld

MARCH 3, 2021

Profiling helps in deciding what transformations are needed for the data. Profiling helps in deciding what transformations are needed for the data. Summary statistics like percentages, variations, or visualizations like histograms, box plots for distribution and correlations, and scatter plots for associations give us a good idea.

Data Quality 52

Data Quality Visualization 52

Tableau

DECEMBER 1, 2021

Jock Mackinlay. Technical Fellow, Tableau. Bronwen Boyd. December 1, 2021 - 11:06pm. December 2, 2021. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. The history view shows Tableau releases with diamond marks placed on a temporal x-axis.

Innovation 144

Innovation Visualization User Experience Documentation 144

Tableau

DECEMBER 1, 2021

Jock Mackinlay. Technical Fellow, Tableau. Bronwen Boyd. December 1, 2021 - 11:06pm. December 2, 2021. Innovation is necessary to use data effectively in the pursuit of a better world, particularly because data continues to increase in size and richness. The history view shows Tableau releases with diamond marks placed on a temporal x-axis.

Innovation 98

Innovation Visualization User Experience Documentation 98

Insight Software

MAY 1, 2023

It will show you what embedded analytics are and how they can help your company. It will show you how to select the right solution and what investments are required for success. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. CRM, ERP, EHR/EMR) or portals (e.g.,

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

What are examples of data pipelines? 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. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52