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 ROI Strategy 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. See the 2013 article in Nature , “ MOOCs taken by educated few, ” and also some extended discussion at an ACM meetup on the topic.

Data Science 56

Data Science Machine Learning Reporting Visualization 56

Howard Dresner

DECEMBER 14, 2013

Many agreed that trying to change a user’s adoption of and interaction with BI tools on a daily basis is difficult; one tweet compared it to trying to change someone’s religion or belief system. Mobile apps have the characteristics that “good BI” should have: agile, visual, interactive and intuitive.

Business Intelligence 40

Business Intelligence Interactive Data Processing Predictive Analytics 40

The Data Visualisation Catalogue

FEBRUARY 11, 2022

Arc Diagrams: Visualizing Structure in Strings (2002) By Martin Wattenberg Topic: Data Visualisation. Thread Arcs: an email thread visualization (2003) By Bernard Kerr Topic: Data Visualisation. Visualising Bluetooth Interactions (2007) By Daragh Byrne, Barry Lavelle, Gareth J.F. Jones, Alan F. Smeaton Topic: Data Visualisation.

Visualization 106

Visualization Interactive IT 106

IBM Big Data Hub

FEBRUARY 26, 2024

Data lineage helps you answer these questions by creating highly detailed visualizations of your data flows. The Basel Committee released BCBS 239 as far back as 2013. You need a complete overview of all your data sources to see how it moves through your organization, understand all touch-points, and how they interact with one another.

Cost-Benefit 101

Cost-Benefit Metadata Data Governance Reporting 101

Juice Analytics

MARCH 28, 2023

We wanted to take some time at the end of the month to celebrate female pioneers and influential women in data visualization and storytelling! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization.

Visualization 96

Visualization Statistics Interactive IT 96

Juice Analytics

MARCH 4, 2022

March is Women’s History Month and as a company that celebrates women, we wanted to highlight some of the most influential women in the history of data visualization! Florence Nightingale: Florence Nightingale is considered to be one of the first pioneers of data visualization. Hull House Chicago Maps by Florence Kelley go-wage-maps/.

Visualization 100

Visualization Statistics Data-driven Interactive 100

Insight

MARCH 12, 2020

In 2013, Robert Galbraith?—?an To visualize the results, I performed dimensionality reduction with t-distributed stochastic neighbor embedding: As can be seen in the above example, the works of each author are well-clustered. an aspiring author?—?finished finished his first novel, Cuckoo’s Calling. often without even looking at it.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

OCTOBER 14, 2014

Here's the complete year 2013… While the numbers for individual month are different, you can see that October spiked and then things came down to below Sept performance by December. It is pretty interesting that while bluenile kissed kay in Sept 2013, it never comes close to Kay, who is pulling way in 2014.

Key Performance Indicator 133

Key Performance Indicator Metrics Reporting Marketing 133

The Unofficial Google Data Science Blog

APRIL 23, 2024

However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters. Figure 4: Visualization of a central composite design. Central composite designs are made of three parts. The center part is one or more experiments in which parameters take their control (i.e.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

The Data Visualisation Catalogue

DECEMBER 23, 2018

One of the methods I used during my investigatation into the impact of Virtual Reality (VR) technology on data visualization and infographic design was to simply search online what other people have been saying. which talks about the issues and challenges currently facing VR data visualization.

Visualization 43

Visualization Big Data Finance Technology 43

Insight

MAY 20, 2020

Once you’ve successfully installed Spark on to your cluster, be sure to check out the open-source “Quick Start” guide for a basic walk through of the interactive Spark shell (spark-shell)— which is a great way to learn about Spark commands and test some of its functionality interactively. Companies, such as Looker , use NiFi.

Data Warehouse 106

Data Warehouse Optimization Interactive Cost-Benefit 106

Occam's Razor

AUGUST 9, 2016

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). A value close to 1 indicates that this channel functioned equally in an assist role and as the final conversion interaction.

Analytics 109

Analytics Metrics Reporting Strategy 109

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

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. Interactive bokeh plot of two-dimensional word-vector data. Note: Mikolov, T.,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

JULY 9, 2019

Here is a picture of The New York Times on its birthday in 1851, and for the vast majority of its lifespan this is pretty much what the user experience of interacting with The New York Times looks like. It’s a visual problem so it works both in our MSE and it works by your eyeballs. When I showed up in 2013…there was pain.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

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

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.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52