DataKitchen

MAY 10, 2021

Some will argue that observability is nothing more than testing and monitoring applications using tests, metrics, logs, and other artifacts. Below we will explain how to virtually eliminate data errors using DataOps automation and the simple building blocks of data and analytics testing and monitoring. . Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Depict Data Studio

AUGUST 24, 2021

3 Tips for Visualizing Social Change Data. In the podcast, we discussed three tips for coalitions, foundations, and nonprofits that are visualizing social change data. Let’s pretend that a nonprofit is running a GRE test prep program for high schoolers. Remember that Data Visualization Isn’t Supposed to be Hard.

Visualization 98

Visualization Testing Statistics Software 98

Sisense

SEPTEMBER 25, 2020

A data scientist must be skilled in many arts: math and statistics, computer science, and domain knowledge. No matter your skill, career level, or title, the ability to analyze, organize, and visualize data are vital skills in our world of quickly growing and ever-changing data. Statistics and programming go hand in hand.

Statistics 98

Statistics Predictive Modeling Modeling Machine Learning 98

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2) Data Discovery/Visualization. Data exploded and became big.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. Because ML models can react in very surprising ways to data they’ve never seen before, it’s safest to test all of your ML models with sensitivity analysis. [9]

Machine Learning 281

Machine Learning Modeling Testing Risk Management 281

Depict Data Studio

APRIL 10, 2023

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

Visualization 105

Visualization Dashboards Testing Reporting 105

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

datapine

APRIL 16, 2019

As a direct result, less IT support is required to produce reports, trends, visualizations, and insights that facilitate the data decision making process. From these developments, data science was born (or at least, it evolved in a huge way) – a discipline where hacking skills and statistics meet niche expertise.

Data-driven 287

Data-driven Dashboards Visualization Cost-Benefit 287

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

MARCH 16, 2023

2) Pros & Cons Of Bar Charts 3) When To Use A Bar Graph 4) Types Of Bar Charts 5) Bar Graphs & Charts Best Practices 6) Bar Chart Examples In today’s fast-paced analytical landscape, data visualization has become one of the most powerful tools organizations can benefit from to be successful with their analytical efforts.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

datapine

NOVEMBER 6, 2023

That is because visuals make it easier to convey and understand critical information, breaching the knowledge gap between audiences across industries. That being said, for data visualizations to be successful and avoid misleading your audience, it is necessary to understand the different use cases for each visual.

Visualization 186

Visualization Cost-Benefit KPI Sales 186

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. If a database already exists, the available data must be tested and corrected. Subsequently, the reporting should be set up properly.

Big Data 84

Big Data Measurement Visualization Reporting 84

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Let’s dive into them.

Visualization 177

Visualization Dashboards Sales Measurement 177

datapine

JULY 17, 2019

Typically presented in the form of an interactive dashboard , this kind of report provides a visual representation of the data associated with your predetermined set of key performance indicators – or KPI data, for short. Set up a report which you can visualize with an online dashboard. 5) Drill down into data visualization.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. Logs and storage for problem diagnosis and visualization of historical trends. Data and tool tests. Testing at Every Step. (Part 1) (Part 2).

Testing 130

Testing Statistics Measurement Metrics 130

CIO Business Intelligence

NOVEMBER 14, 2022

They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. Commonly used models include: Statistical models. It features support for creating and visualizing decision tree–driven customer interaction flows.

Data mining 144

Data mining Data-driven Statistics OLAP 144

CIO Business Intelligence

OCTOBER 13, 2023

The data architect is responsible for visualizing and designing an organization’s enterprise data management framework. Data architects and data engineers work together to visualize and build the enterprise data management framework. In some ways, the data architect is an advanced data engineer.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

OCTOBER 26, 2023

Through use of data analytics, data visualization, and data modeling techniques and technologies, BI analysts can identify trends that can help other departments, managers, and executives make business decisions to modernize and improve processes in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Wayne Yaddow

MARCH 5, 2025

In this post, well see the fundamental procedures, tools, and techniques that data engineers, data scientists, and QA/testing teams use to ensure high-quality data as soon as its deployed. First, we look at how unit and integration tests uncover transformation errors at an early stage. Key Tools & Processes Testing frameworks (e.g.,

Testing 52

Testing Data Transformation Statistics Metadata 52

CIO Business Intelligence

OCTOBER 7, 2022

SAS Certified Specialist: Visual Business Analytics Tableau Certified Data Analyst Tableau Desktop Specialist Tableau Server Certified Associate Certified Business Intelligence Professional (CBIP). The certificate does not require prior programming or statistical skills. SAS Certified Specialist: Visual Business Analytics Specialist.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Occam's Razor

OCTOBER 31, 2011

In this case for my data it is not statistically significant (more on that later in this post), but there is no way you would know that (or not know that) just from the data in front of you. As the analyst you hold a lot of power in your hands when it comes to visualizing data. Statistical Significance is Your BFF. Download it.

Statistics 131

Statistics Testing Reporting Key Performance Indicator 131

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. On-site courses are available in Munich. Remote courses are also available. Switchup rating: 5.0 (out

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

datapine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. 3) What Are KPI Best Practices?

KPI 221

KPI Management Key Performance Indicator Measurement 221

AWS Big Data

DECEMBER 17, 2024

In internal tests, AI-driven scaling and optimizations showcased up to 10 times price-performance improvements for variable workloads. Redshift Serverless works behind the scenes to scale the compute up and down and deploys optimizations to meet and maintain the performance levels, even when workload demands change.

Data Lake 82

Data Lake Data Warehouse Data-driven Optimization 82

CIO Business Intelligence

JUNE 14, 2023

Organization: AWS Price: US$300 How to prepare: Amazon offers free exam guides, sample questions, practice tests, and digital training. The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smart Data Collective

OCTOBER 17, 2022

It can be used to run analytical tools and power data visualization as well. Although a data pipeline can serve several functions, here are a few main use cases of them in the industry: Data Visualizations represent any data via graphics like plots, infographics, charts, and motion graphics.

Data Warehouse 145

Data Warehouse Data Lake Visualization Big Data 145

The Unofficial Google Data Science Blog

SEPTEMBER 30, 2016

The statistics app for Google Sheets hopes to change that. Editor's note: We've mostly portrayed data science as statistical methods and analysis approaches based on big data. Introduction Statistics for Google Sheets is an add-on for Google Sheets that brings elementary statistical analysis tools to spreadsheet users.

Statistics 55

Statistics Big Data Data Science Marketing 55

AWS Big Data

JULY 27, 2023

DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Create a visual ETL job in AWS Glue Studio Next, you create the job that uses the recipe.

Visualization 90

Visualization Cost-Benefit Data Quality Publishing 90

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

O'Reilly on Data

MARCH 26, 2024

This seems to be emerging as a feature, not a bug, and hopefully it’s obvious to you why they called their IEEE opinion piece Generative AI Has a Visual Plagiarism Problem. Also, training models doesn’t seem to me to infringe copyright because it doesn’t yet produce output! To see this, let’s consider another example, that of MegaFace.

Modeling 322

Modeling Machine Learning Risk Advertising 322

CIO Business Intelligence

AUGUST 9, 2022

Data engineers must also know how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. They visualize and design an organization’s enterprise data management framework.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

JUNE 6, 2023

In this post, we highlight the seamless integration of Amazon Athena and Amazon QuickSight , which enables the visualization of operational metrics for AWS Glue Data Quality rule evaluation in an efficient and effective manner. We can query and submit the Athena data to QuickSight to create visuals for the dashboard.

Data Quality 79

Data Quality Metrics Visualization Dashboards 79

Smart Data Collective

NOVEMBER 9, 2022

One of the biggest benefits is testing processes for optimal effectiveness. The main purpose of machine learning is to partially or completely replace manual testing. One example is using machine learning tools like Selenium to test web development processes. There are a number of great applications of machine learning.

Machine Learning 122

Machine Learning Testing Cost-Benefit Data-driven 122

AWS Big Data

OCTOBER 23, 2024

This feature is part of the Amazon Redshift console and provides a visual and graphical representation of the query’s run order, execution plan, and various statistics. To test Query profiler against the sample data, load the tpcds sample data and run queries. Try this feature in your environment and share your feedback with us.

Data Warehouse 89

Data Warehouse Metrics Broadcasting Dashboards 89

BA Learnings

JANUARY 2, 2023

This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets. This could include streamlining specific tasks or finding new ways of utilizing existing resources more effectively.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

AWS Big Data

FEBRUARY 26, 2025

Amazon SageMaker Unified Studio brings together functionality and tools from the range of standalone studios, query editors, and visual tools available today in Amazon EMR , AWS Glue , Amazon Redshift , Amazon Bedrock , and the existing Amazon SageMaker Studio.

Analytics 59

Analytics Data Lake Metadata Data Warehouse 59