The Data Visualisation Catalogue

FEBRUARY 27, 2019

Continuing on at looking into the claims being made about virtual reality (VR) data visualization, we will now look at the second most commonly made claim: VR data visualization is great for multidimensional data analysis; VR allows you to view the data in ‘multiple dimensions’. Can VR Enhance Data Visualization?

Visualization 41

Visualization Interactive Technology Reporting 41

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. That solution is the data fabric.

Management 58

Management Data Quality Metadata Data Integration 58

Sisense

APRIL 29, 2021

The right data visualization will take your custom analytics to the next level. The right data visualization will take your custom analytics to the next level. Explore data vis libraries. Personalization will be the prime driver of marketing success within five years,” McKinsey predicted, and for good reason.

Analytics 52

Analytics Dashboards Machine Learning Visualization 52

Sisense

FEBRUARY 24, 2020

What is the ultimate goal of using data internally at your organization? You probably answered something like “Make smarter, data-driven decisions.” You probably answered something like “Make smarter, data-driven decisions.” Centralized reports were in-depth, but slow. That’s the goal for a lot of companies!

Analytics 72

Analytics Metrics Data-driven Interactive 72

Jen Stirrup

APRIL 2, 2019

Marketing is viewed as a key strategic participant in achieving the goals of businesses, both large and small. I thought I’d share how we started to apply marketing theory, practice, and insights from data. The secret is the data. It’s about focusing on the real , not the soundbite. Real never goes out of fashion.

Marketing 59

Marketing Advertising Data-driven Strategy 59

Insight

OCTOBER 25, 2019

Image credit: [link] As the title suggests, this is a story about a question that may resonate well with many machine learning practitioners trying to build applications in the real world, where clean and annotated data on a specific problem can be sparse— How do we leverage the power of AI when we have very little data?

Snapshot 57

Snapshot Testing Deep Learning Visualization 57

Domino Data Lab

JANUARY 6, 2019

In Paco Nathan ‘s latest column, he explores the theme of “learning data science” by diving into education programs, learning materials, educational approaches, as well as perceptions about education. He is also the Co-Chair of the upcoming Data Science Leaders Summit, Rev. Learning Data Science.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. data science’s emergence as an interdisciplinary field – from industry, not academia. Session Summary. Key highlights from the session include.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Insight

JANUARY 14, 2020

Will a network trained with fake data be able to generalize to the real world? I will also discuss how I navigated specific challenges with data gathering. Lauren Holzbauer was an Insight Fellow in Summer 2018. The first time I walked into a weight room was six years ago, while I was at UCLA.

Metrics 58

Metrics Optimization Modeling Testing 58

DataKitchen

SEPTEMBER 17, 2021

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh.

Testing 237

Testing Data Architecture Measurement Enterprise 237

Domino Data Lab

APRIL 29, 2021

Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand. If we can crack the nut of enabling a wider workforce to build AI solutions, we can start to realize the promise of data science. Image from zazzle.com.

Data Science 134

Data Science Deep Learning Modeling Forecasting 134

Occam's Razor

OCTOBER 16, 2007

I love Internal Site Search data. It is a amazing peek into customer intent, which usually is quite elusive in our normal clickstream data. This post is using screenshots of the new Google Internal Search Analysis reports but the process of understanding the search data will apply to all companies. You Should Be.

Analytics 101

Analytics Metrics Measurement Reporting 101

Data Science 101

NOVEMBER 8, 2023

Note: The views in these interviews are personal views and do not represent the interviewee’s employer. You are welcome to follow along and let me know on Threads if you would like to be interviewed. It was my former director announcing my promotion in a large, all-hands meeting emphasizing how I had earned that promotion.

Data Science 59

Data Science Visualization Management Data Processing 59

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

OCTOBER 30, 2019

Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. The business intelligence industry has been revolutionized over the past decade and data reports are in on the fun. Read on to see why data reports matter and our top data reporting tips.

Reporting 127

Reporting Visualization Dashboards KPI 127

datapine

OCTOBER 14, 2020

Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. A professional dashboard maker enables you to access data on a single screen, easily share results, save time, and increase productivity. That’s why we welcome you to the world of interactive dashboards.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 71

Data Quality Data Integration Metadata Cost-Benefit 71

The Data Visualisation Catalogue

FEBRUARY 11, 2022

A lot of the papers here are focused on the mathematical side of Arc Diagrams and look at subjects such as graph theory and combinatorics rather than purely on data visualisation. Since mathematics is not my area of expertise and not relevant to my research, I haven’t read into those papers in much depth. Saaty Topic: Mathematics.

Visualization 107

Visualization Interactive IT 107

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

APRIL 11, 2019

In the contemporary world of business, the age-old art of storytelling is far from forgotten: rather than speeches on the Senate floor, businesses rely on striking data visualizations to convey information, drive engagement, and persuade audiences. . Download our 10-step checklist and see how to tell the best data story.

Dashboards 169

Dashboards Visualization Data-driven Key Performance Indicator 169

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! By managing your information with data analysis tools , you stand to sharpen your competitive edge, increase your profitability, boost profit margins, and grow your customer base.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Cloudera

NOVEMBER 13, 2020

This is part of our series of blog posts on recent enhancements to Impala. Apache Impala is synonymous with high-performance processing of extremely large datasets, but what if our data isn’t huge? It turns out that Apache Impala scales down with data just as well as it scales up. The entire collection is available here.

Optimization 142

Optimization Metadata Statistics Cost-Benefit 142

Cloudera

NOVEMBER 30, 2017

Buried deep in the data are the context clues that can point us to what our customers want which helps us grow, retain, and service them better. Buried deep in the data are the context clues that can point us to what our customers want which helps us grow, retain, and service them better. TDWI Research.

Strategy 40

Strategy Big Data Data mining Visualization 40

Cloudera

JANUARY 21, 2021

While cloud-native, point-solution data warehouse services may serve your immediate business needs, there are dangers to the corporation as a whole when you do your own IT this way. And you also already know siloed data is costly, as that means it will be much tougher to derive novel insights from all of your data by joining data sets.

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Occam's Razor

AUGUST 28, 2017

They are crucial in being able to internalize the depth and breadth of the revolution, and why we strengths AI brings are a radical shift beyond what humans are capable of. Some of these possibilities have already been realized (more on this later in the post). And, I could not be more excited to see them out in the world. Professional).

Deep Learning 139

Deep Learning Machine Learning Marketing Strategy 139

Peter James Thomas

OCTOBER 1, 2019

The recent update of The Data & Analytics Dictionary featured an entry on Charts. A Chart is a way to organise and Visualise Data with the general objective of making it easier to understand and – in particular – to discern trends and relationships. Introduction. Bar & Column Charts. Bubble Charts. Cartograms.

Sales 61

Sales Measurement Statistics Data Architecture 61

Occam's Razor

JUNE 28, 2011

Web Analysts are blessed with an immense amount of data, and an amazing amount of valuable, even sexy, metrics to understand business performance. You: The person responsible for "providing data" / "analyzing metrics" / "reporting." Even with all that, I think the problem is you. Okay, now what?

Metrics 126

Metrics Measurement Key Performance Indicator Reporting 126

Depict Data Studio

SEPTEMBER 10, 2019

Emily Rose Barter is one member of the Data, Reporting, and Evaluation team at Emerge Community Development in Minneapolis, Minnesota. This has multiplied the impact of the class, leveling up the data visualizations the team can produce for the entire agency. This is a word I’ve seen Ann use a lot in her blog posts.

Visualization 40

Visualization Dashboards Metrics Reporting 40

The Data Visualisation Catalogue

DECEMBER 29, 2021

Many of us in the western data visualisation community may think of data visualisation as a field that primarily emerged out of the West. If you were to name key historical practitioners of data visualisation, likely, the names Charles Joseph Minard , Florence Nightingale , William Playfair or Charles Dupin come to mind.

Publishing 133

Publishing Visualization Marketing Statistics 133

Peter James Thomas

APRIL 9, 2019

This is the second year in which I have produced a retrospective of my blogging activity. This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. These are as follows: General Data Articles.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Occam's Razor

OCTOBER 12, 2017

Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. The Next section provides advice on what you should be doing to invest in yourself to get ready for the depth and breadth change Artificial Intelligence is going to bestow upon us (regardless of your business role).

Marketing 136

Marketing Analytics Machine Learning Strategy 136