The Data Visualisation Catalogue

JANUARY 24, 2022

This was the first paper to introduce the “Alluvial Diagram” and used this new visualisation to visually represent the change in a large and complex network structure over time. Mapping shifting hierarchical and regional tendencies in an urban network through alluvial diagrams (2013). Visualizing changes in nationally averaged PM2.5

Visualization 84

Visualization Reporting Modeling IT 84

CIO Business Intelligence

MAY 4, 2022

What if there were a free, globally accessible, and open framework that could help your team map attacks, visualize strengths and weaknesses in your environment, and understand where you can strengthen controls to protect critical assets against attackers? In fact, it has been available since 2013.

Measurement 105

Measurement Visualization Marketing Testing 105

Ms SQL Girl

MARCH 30, 2016

It’s been a long time since I wrote an article on Tabular Model. In this article, I want to show you how to connect to your Tabular Model database and use it as the underlying model for either Pivot Table, Pivot Chart, or Power View. Connecting to Tabular Model in Excel. i.e. Pivot Table, Pivot Chart or Power View.

Modeling 40

Modeling Visualization IT Business Intelligence 40

Ms SQL Girl

MARCH 30, 2016

It’s been a long time since I wrote an article on Tabular Model. In this article, I want to show you how to connect to your Tabular Model database and use it as the underlying model for either Pivot Table, Pivot Chart, or Power View. Connecting to Tabular Model in Excel. i.e. Pivot Table, Pivot Chart or Power View.

Modeling 40

Modeling Visualization IT Business Intelligence 40

Occam's Razor

JANUARY 2, 2013

This post is about standard GA reports, but the standard cart/checkout funnel visualization in GA is value deficient. It will be the same in 2013. Even if you never get into the mess of attribution modeling and all that other craziness, you are much smarter by just analyzing the data, and implications, from at this report.

Strategy 160

Strategy Analytics Reporting Metrics 160

AWS Big Data

AUGUST 7, 2023

Amazon Redshift ML makes it easy for data analysts and database developers to create, train, and apply machine learning (ML) models using familiar SQL commands in Amazon Redshift. Simply use SQL statements to create and train SageMaker ML models using your Redshift data and then use these models to make predictions.

Forecasting 90

Forecasting Data Warehouse Machine Learning Modeling 90

Sisense

JUNE 8, 2020

As a result, many organizations are able to join external data to their own data in real time to forecast business impacts, predict supply and demand , apply models, and aggregate to predict the spread of the virus. This builds reusable artifacts that power ad hoc analysis, and also serves that data into reporting to send to teams and models.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 112

Data Warehouse Analytics Data Lake Machine Learning 112

AWS Big Data

JULY 25, 2023

licensed, open-source search and analytics suite, comprising OpenSearch (a search, analytics engine, and vector database), OpenSearch Dashboards (a visualization and utility user interface), and plugins that provide advanced capabilities like enterprise-grade security, anomaly detection, observability, alerting, and much more.

Cost-Benefit 80

Cost-Benefit Modeling Management Optimization 80

The Data Visualisation Catalogue

SEPTEMBER 28, 2022

Source: Montreal Mayoral Election 2013, nicolas.kruchten.com. For example, you might compare the specifications of various computer or car models (comparing specs across a range of products). Another example is the badges generated for members of the Data Visualization Society. Ternary Bubble Graph. Ternary Contour Graph.

Visualization 68

Visualization IT Modeling 68

IBM Big Data Hub

OCTOBER 16, 2023

Containers have increased in popularity and adoption ever since the release of Docker in 2013, an open-source platform for building, deploying and managing containerized applications. Gartner predicts that 90% of global enterprises will use containerized applications and one in five apps will run in containers by 2026, as CIO reported.

Dashboards 71

Dashboards Data Processing Metrics Cost-Benefit 71

Sisense

DECEMBER 11, 2019

And he explained that the leap to visual-based data discovery put analytics in the hands of data experts working in different lines of business, rather than in IT, where bottlenecks could previously occur, and reporting could take much longer. Kongregate has been using Periscope Data since 2013.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

Insight

MAY 20, 2020

The tradeoff is that you’d have to follow Spark’s programming model and you wouldn’t have the same amount of control as if you built the infrastructure yourself. Presto, which was open-sourced in 2013 and predates the rise of Spark SQL, became popular due to its reliance on the SQL standard to query large amounts of data.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

AWS Big Data

NOVEMBER 14, 2023

Amazon Redshift data sharing enables you to evolve your Amazon Redshift deployment architectures into a hub-and-spoke or data mesh model to better meet performance SLAs, provide workload isolation, perform cross-group analytics, and onboard new use cases, all without the complexity of data movement and data copies.

Data Warehouse 64

Data Warehouse Analytics Testing Cost-Benefit 64

Howard Dresner

NOVEMBER 6, 2013

At one of our recent Friday #BIWisdom tweetchats, we talked about the findings in our 2013 Wisdom of Crowds® Collaborative Business Intelligence Market Study, which led to an insightful conversation about why some organizations haven’t adopted collaborative BI technologies and why some adopted it but failed to achieve the anticipated value.

Technology 40

Technology Business Intelligence Strategy ROI 40

Domino Data Lab

JANUARY 6, 2019

I’ve been teaching data science since 2008 privately for employers – exec staff, investors, IT teams, and the data teams I’ve led – and since 2013, for industry professionals in general. Also, clearly there’s no “one size fits all” educational model for data science. The Berkeley model addresses large university needs in the US.

Data Science 56

Data Science Machine Learning Visualization Reporting 56

Ontotext

JANUARY 6, 2022

In compliance with the EU market transparency regulation (( Regulation EU No 5 43/2013 of 14 June 2013 on submission and publication of data in electricity markets ), ENTSO-E is doing a great job of collecting electricity market data (generation, transmission, consumption, balancing, congestion, outages, etc.)

Marketing 52

Marketing Data Quality Dashboards Visualization 52

Howard Dresner

DECEMBER 14, 2013

Mobile apps have the characteristics that “good BI” should have: agile, visual, interactive and intuitive. Some tweeted that perhaps we should apply the mobile app model to business intelligence. Unfortunately this seldom occurs.

Business Intelligence 40

Business Intelligence Interactive Predictive Analytics Data Processing 40

The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. That is true generally, not just in these experiments — spreading measurements out is generally better, if the straight-line model is a priori correct.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Ontotext

OCTOBER 7, 2020

The Financial Industry Business Ontology (FIBO) is a conceptual model of the financial industry that has been developed by the Enterprise Data Management Council (EDMC). FIBO-DM is an Enterprise Data Model available as SAP PowerDesigner Conceptual and Logical Data Models. Query language W3C Recommendation 21 March 2013.

Finance 59

Finance Visualization Modeling Metadata 59

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. 2013: Google launches Google Compute Engine (IaaS), its own version of EC2. Microsoft also releases Power BI, a data visualization and business intelligence tool.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

Domino Data Lab

MARCH 27, 2019

Special thanks to Addison-Wesley Professional for permission to excerpt the following “Manipulating data with dplyr” chapter from the book, Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R. While this grouping is not visually apparent (i.e., Introduction.

Statistics 85

Statistics Data Science Visualization IT 85

Occam's Razor

SEPTEMBER 21, 2015

Avoid complex visualizations – they get in the way! My goal is that you'll learn a set of filters you'll use as you think about the best ways to create your stories, however you choose to tell them with whatever visual output you most love. Avoid complex visualizations – they get in the way!

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

Occam's Razor

DECEMBER 9, 2013

One that reflects the customer expectations of 2013. Or Ford (it is amazing that in 2013, for such an expensive product, it looks so… 2005). Go buy a simple A/B testing tool ( Visual Website Optimizer , Optimizely ), go crazy optimizing every little thing to take money from the people who want to give it to you!

Marketing 165

Marketing Analytics Key Performance Indicator Optimization 165

Occam's Razor

JANUARY 28, 2013

Innocent: Passionate Copy and Heart-warming Visual Design. ~ Innocent: Passionate Copy and Heart-warming Visual Design. AAA's visual experience is substantially better than MetLife. You can't try the dress on, but this data helps you understand if it will look on you just like it does on the model.

Marketing 165

Marketing Insurance Visualization IT 165

Occam's Razor

AUGUST 9, 2016

Gain Attribution Modeling Savvy. You can also search for other stuff, like custom reports or attribution models. Ignore the eminently useless Reverse Goal Path report (I don't even know why this is still in GA after years of uselessness) and Funnel Visualization (almost totally useless in context of almost all Goals).

Analytics 110

Analytics Metrics Reporting Strategy 110

Domino Data Lab

JULY 9, 2019

Diving into examples of building and deploying ML models at The New York Times including the descriptive topic modeling-oriented Readerscope (audience insights engine), a prediction model regarding who was likely to subscribe/cancel their subscription, as well as prescriptive example via recommendations of highly curated editorial content.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

Occam's Razor

OCTOBER 14, 2014

See step four in the process for creating your Digital Marketing and Measurement Model.]. This recommendation also valuable for companies that have very unique business models, or face other unusual circumstances (geographic, size, amount of innovation, and many others). See Page 269. :). So how can you use your own data?

Key Performance Indicator 135

Key Performance Indicator Metrics Reporting Marketing 135

Jet Global

MAY 1, 2023

Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Companies like Tableau (which raised over $250 million when it had its IPO in 2013) demonstrated an unmet need in the market. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. More relevant to the AIgent is Google’s BERT model, a task-agnostic (i.e. an aspiring author?—?finished

Modeling 59

Modeling Metadata Publishing Sales 59

David Menninger's Analyst Perspectives

JANUARY 29, 2025

Founded in 2013, Databricks initially gained prominence for its cloud-based Apache Spark services, aimed at enhancing big data processing and creating an alternative to MapReduce. In 2013, the project was donated to the Apache Software Foundation. Databricks Assistant can be used to generate code, provide help and troubleshoot errors.

IT 147

IT Dashboards Unstructured Data Big Data 147