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

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 259

Machine Learning Data Quality Statistics Modeling 259

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 92

Marketing Analytics Marketing Data-driven Analytics 92

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 118

Digital Transformation Dashboards Reporting Data Science 118

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 131

Big Data Statistics Recreation/Entertainment Finance 131

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 Interactive Deep Learning Statistics 69

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 Operational Reporting Statistics Dashboards 52

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 220

Machine Learning Risk Management Statistics 220

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

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 362

Marketing Experimentation Metrics Testing 362

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 105

Analytics Technologies Broadcasting Data Analytics Technology 105

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 104

Big Data Data Analytics Analytics Cost-Benefit 104

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 76

Data mining Big Data Data-driven Measurement 76

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 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

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 78

Predictive Analytics Analytics Forecasting Modeling 78

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 96

Advertising Cost-Benefit ROI Sales 96

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 60

Optimization Forecasting Data-driven Strategy 60

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

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

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

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

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

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

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

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. You saw in the previous chapter that conditioning can break statistical dependence. Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Instead, I built the AIgent. features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

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 127

Data-driven Metrics Software Data Collection 127

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 109

IoT Business Intelligence Visualization Internet of Things 109

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. He also really informed a lot of the early thinking about data visualization. It involved a lot of interesting work on something new that was data management. To some extent, academia still struggles a lot with how to stick data science into some sort of discipline.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

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

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

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

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