O'Reilly on Data

JUNE 18, 2019

These data sets are often siloed, incomplete, and extremely sparse. Moreover, the domain knowledge, which often is not encoded in the data (nor fully documented), is an integral part of this data (see this article from Forbes). See this article on data integration status for details.

Machine Learning 264

Machine Learning Data Quality Statistics Modeling 264

Smart Data Collective

DECEMBER 17, 2021

The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. Types of Data Used in Marketing Analytics. Source: [link].

Marketing Analytics 100

Marketing Analytics Marketing Data-driven Analytics 100

datapine

JANUARY 6, 2022

Interval: a measurement scale where data is grouped into categories with orderly and equal distances between the categories. For a more in-depth review of scales of measurement, read our article on data analysis questions. Quantitative analysis refers to a set of processes by which numerical data is analyzed. Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

NOVEMBER 18, 2020

Data sources play a very important role in making sure content creators and marketers, scholars and students have access to statistical and factual information. You can find all sorts of information from data sources, ranging from finance and economics, drugs, content marketing, health, government, education and entertainment.

Big Data 133

Big Data Statistics Recreation/Entertainment Finance 133

FineReport

MARCH 7, 2024

As we explore examples of data analysis reports and interactive report data analysis dashboards, we embark on a journey to unravel the nuanced art of transforming raw data into meaningful narratives that empower decision-makers. This will be elaborated on in the third part of this article. We assess revenue streams.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

FineReport

MARCH 24, 2024

Given the critical role they play, employers actively seek data analysts to enhance efficiency and stimulate growth. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. SQL manages and retrieves data from databases, handling larger datasets.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JANUARY 17, 2024

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. Additionally, it continuously explores reams of data and modern tools to improve its capabilities and adapt to the changing data landscape.

Digital Transformation 119

Digital Transformation Dashboards Reporting Data Science 119

Smart Data Collective

JANUARY 10, 2023

In this article, we offer you to have a look at how it can be done and provide you with step-by-step instructions. BI and IoT are a perfect duo as while IoT devices can gather important data in a real team, BI software is intended for processing and visualizing this information. But what if we combine these technologies?

IoT 116

IoT Business Intelligence Visualization Internet of Things 116

Ontotext

DECEMBER 15, 2023

It includes only ML papers and related entities; this SPARQL query shows some statistics: papers tasks models datasets methods evaluations repos 376557 4267 24598 8322 2101 52519 153476 We can start with these repositories (most of them are on Github) and get all their topics. We use Categories as a way of finding relevant articles.

Machine Learning 69

Machine Learning Deep Learning Interactive Statistics 69

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. How to build analytic products in an age when data privacy has become critical”. Culture and organization.

Machine Learning 225

Machine Learning Risk Management Statistics 225

Smart Data Collective

AUGUST 4, 2022

According to statistics, an astonishing 62% of managers are reluctant to talk to their employees about anything, while one in five business leaders feel uncomfortable when it comes to recognizing employees’ achievements. These findings illustrate the benefits of shifting towards a data-driven approach to monitoring employee performance.

Data-driven 132

Data-driven Metrics Software Data Collection 132

FineReport

MARCH 6, 2024

In this article, we will thoroughly examine the significance of financial statements, elucidate the various types of financial statements, and provide illustrative examples to facilitate a comprehensive analysis of the three essential financial statements. Reports serve as a summary and visualization of systematically collected data.

Reporting 52

Reporting Statistics Operational Reporting Dashboards 52

O'Reilly on Data

JULY 28, 2020

In this article, we turn our attention to the process itself: how do you bring a product to market? The development phases for an AI project map nearly 1:1 to the AI Product Pipeline we described in the second article of this series. Acquiring data is often difficult, especially in regulated industries. Identifying the problem.

Marketing 363

Marketing Experimentation Metrics Testing 363

Smart Data Collective

APRIL 23, 2022

For instance, the branding and marketing experts of the Superbowl would benefit from big data when planning the promotion and organization before it takes place. Kenneth Taylor wrote an insightful article on the ways that big data is transforming the Superbowl. Big data is being used all around the world and not just in sports.

Analytics Technologies 113

Analytics Technologies Broadcasting Data Analytics Technology 113

FineReport

JUNE 29, 2023

The Internet of Things (IoT) has revolutionized the way we interact with devices and gather data. In this article, we will explore the concept of IoT dashboards, delve into their benefits, examine real-life examples, and highlight the essential features that make them indispensable in the IoT landscape.

IoT 52

IoT Dashboards Visualization Cost-Benefit 52

Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). They provide more like an FAQ (Frequently Asked Questions) type of an interaction.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

MAY 8, 2022

Brands are closely working to solve this as they dive deep into the world of big data analytics. Well, don’t go anywhere because, in this article, we will show you how you can use big data analytics combined with AI to achieve the best performance possible. What is the relationship between big data analytics and AI?

Big Data 111

Big Data Data Analytics Analytics Cost-Benefit 111

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. It refers to datasets too large for normal statistical methods. The term was first published in 1999 and gained a solid definition in the early 2000s.

Data mining 82

Data mining Big Data Data-driven Measurement 82

Smart Data Collective

NOVEMBER 24, 2020

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. Identify Opportunities.

Business Intelligence 133

Business Intelligence Visualization Dashboards Prescriptive Analytics 133

Smart Data Collective

NOVEMBER 14, 2019

As Andrew Pearson wrote in his article “ Predictive Analytics in the Gaming Industry ,” the gaming industry has used some form of predictive analytics for decades. Older statistical modeling methodologies only used three or four variables, so gaming companies can make much more nuanced insights these days.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Statistics 79

O'Reilly on Data

JULY 28, 2020

A recent article in The Verge discussed PULSE , an algorithm for “upsampling” digital images. When looked at this way, it’s largely a problem of mathematics and statistics. There is no such thing as “raw data,” and hence, no pure, unadulterated, unbiased data. It’s an issue of harms and of power.

Testing 135

Testing Statistics Recreation/Entertainment Software 135

Smart Data Collective

JUNE 15, 2022

According to many surveys, more than 90% of retail organizations across a wide range of sectors feel location data is crucial to their success. In fact, the popularity of location data has grown so much that it is expected to touch about $35 billion in value by 2027. 9 Ways Location Data Can Help You Excel in Retail.

Advertising 102

Advertising ROI Cost-Benefit Sales 102

FineReport

JUNE 26, 2023

In this article, we will explore what a performance report entails, emphasize the significance of such reports, delve into different types of performance reports, provide a performance report template, and outline the steps to create an effective performance report. One invaluable tool for gaining these insights is the performance report.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

datapine

JUNE 4, 2020

A CTO report is based on a curated collection of data and statistics that exist within the dashboard and offer a wealth of information based on established KPIs that can be easily automated and shared across the board, in order to monitor relevant IT performance. Besides, these dashboards can also be used as CTO reports.

Dashboards 130

Dashboards Reporting Metrics Visualization 130

Depict Data Studio

APRIL 16, 2019

Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. And learning how we learn–the courses on cognition, memory, perception, and brain biology–are critical in my everyday work as a data visualization designer and speaker. What really mattered in each article?

Visualization 56

Visualization Reporting Statistics Dashboards 56

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. We’ll actually do this later in this article. R: Analytics powerhouse. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

Jet Global

AUGUST 4, 2023

Learning to work with data involves developing the technical skills to manage large data sets and the soft skills to use storytelling and influencing to help audiences make data-informed decisions. In this article, we will focus on common technical skills/tools that can improve your confidence and capability to work with data.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Depict Data Studio

MAY 8, 2023

In this article, you’ll learn more about each of the classes. Class 1: Simple Spreadsheets: How to Analyze Data from Start to Finish in Excel Need to make sense of spreadsheets? Davey Strategies “I am a university researcher and have a lot of familiarity with data collection and statistical analysis programs/platforms (e.g.

Dashboards 52

Dashboards Visualization Reporting Interactive 52

Sisense

OCTOBER 15, 2020

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process.

Dashboards 98

Dashboards IoT Optimization Internet of Things 98

Alation

APRIL 25, 2023

But whatever your industry, perfecting your processes for making important decisions about how to handle data is crucial. Whether you deal in customer contact information, website traffic statistics, sales data, or some other type of valuable information, you’ll need to put a framework of policies in place to manage your data seamlessly.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Depict Data Studio

JULY 28, 2020

Finally, the news article and 90-second video provided a high-level overview of the survey results. And, a couple days after the school board meeting, Vivian was out shopping in a store and overheard a couple parents discussing statistics from the report. The school board also gave Vivian’s office good feedback on the data.

Visualization 102

Visualization Reporting Modeling Statistics 102

Domino Data Lab

OCTOBER 23, 2019

This article provides insight on the mindset, approach, and tools to consider when solving a real-world ML problem. It covers questions to consider as well as collecting, prepping and plotting data. Collecting and prepping data are core research tasks. A complementary Domino project is available. Introduction.

Statistics 59

Statistics Machine Learning Testing Modeling 59

The Unofficial Google Data Science Blog

JULY 18, 2023

Editor's note : The relationship between reliability and validity are somewhat analogous to that between the notions of statistical uncertainty and representational uncertainty introduced in an earlier post. Measurement challenges Assessing reliability is essentially a process of data collection and analysis.

Measurement 52

Measurement Metrics Uncertainty Slice and Dice 52

Occam's Razor

MARCH 30, 2017

We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. Sidebar: If you don’t know these three phrases, please watch my short talk: A Big Data Imperative: Driving Big Action.].

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166