Great Storytelling With Data: Visualize Simply And Focus Obsessively

Occam's Razor

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.

Speed, Focus, Smart Insights: 5 Google Analytics Custom Reports FTW!

Occam's Razor

Key Metrics: Map Overlay Visualization. In each of the above five amazing custom reports, you'll learn various techniques – how to create a flat report, how to use filters, how to create micro-ecosystems of data, just get cool visualizations you can in PowerPoint, etc.

Digital Marketing & Analytics: Five Deadly Myths De-mythified!

Occam's Razor

Here's a slide from one of my recent presentations where I created a visual to represent data that came from eMarketer… Amazing, is it not?

Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

There are dashboarding and visualization solutions (try Tatvic or NextAnalytics ). The 80/20 rule applies to our use of web analytics tools as well. Most of us use just a small amount of power our tools contain. This hurts my feelings!

Crushing It With Competitive Intelligence Analysis: Best Metrics, Reports

Occam's Razor

It is 2015. My favourite method is to use the Traffic Dashboard report in Compete (as I'd mentioned in my post on data visualization strategies and examples ).

How Data Visualization Can Help Governments Address Societal Challenges

TIBCO

Until recently, data analytics and data visualization tools have commonly been used by cities and government agencies to address societal challenges such as congestion, crime, and municipal services.

Azure Data Factory and Visual Studio

Ms SQL Girl

One thing that I’d like to highlight is there is an Azure Data Factory extension in Visual Studio. To get the Azure Data Factory extension in Visual Studio: Launch Visual Studio 2013. Click on the Download button for the Microsoft Azure DataFactory Tools for Visual Studio.

Upcoming Power BI Workshop in Huntington Beach, CA – Apr 10, 2015

Ms SQL Girl

Actionable Visualization In Power BI. Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. The first step before creating data visualization using Power View and Pivot Tables/Charts in Excel, we need to acquire the data from various data sources.

Radar: More Evil Than Pie?

Darkhorse

One such example recently appeared in a Harvard Business Review (HBR) blog post: CEOs Get Paid Too Much, According to Pretty Much Everyone in the World The visual design is appealing. VisualizationIt is by now common knowledge among the viz-savvy crowd that pie charts are best avoided.

Make the Grade

Darkhorse

Being an Alberta-based data visualization firm, we felt encouraged, perhaps even duty-bound, to enter. It’s squeaky clean and accessible, just waiting to be visualized. As an aside, our visualization doesn't make claims it cannot possibly deliver on. Visualization

Pluck the Low-Hanging Fruit

Darkhorse

Have her think through her approach including data collection, cleaning, modeling, verification, visualization, tool or metric development, and implementation. This is part two in a series of articles about effective analytics implementation.

Data scientist as scientist

The Unofficial Google Data Science Blog

Another concern is that the Google results page sometimes contains visual elements, such as images, that may create sharp changes in user attention.

Causal attribution in an era of big time-series data

The Unofficial Google Data Science Blog

Analyses might begin by exploring, visualizing, correlating. Setting aside their statistical intricacies, randomized experiments and observational approaches generally work well in the world of small data, where we can reason about modeling assumptions and inspect our data visually.

Information Builders Combines InfoAssist and InfoDiscovery to Deliver Most Complete Self-Service Product for Business Users

Information Builders

The new InfoAssist offering will enable organizations to visually analyze complex data sets, generate sophisticated data visualizations, dashboards and reports, and enhance data-driven decision-making enterprise wide

Learning SQL Server, R and Azure Online With 24HOP

Ms SQL Girl

24 June 2015 9:00 PM PDT / 25 June 2015 4:00 AM UTC / 25 June 2015 2:00 PM AEST. Understanding and Visualizing Data Using R in SQL Server. 25 June 2015 1:00 AM PDT / 25 June 2015 8:00 AM UTC / 25 June 2015 6:00 PM AEST. Yes, it’s that time of the year again with 24 Hours of PASS. I’m very proud to see 24 amazing speakers lined up from different parts of the world. Check them out here.

Learn Microsoft BI Stack

Ms SQL Girl

Chapter 10 Choosing the Right Business Intelligence Visualization Tool. Chapter 12 Visualizing Your Data Interactively with Power View. This is a much belated follow up to my very first blog post Open Your Mind To Business Intelligence from 4 years ago.

Create High-Impact Data Visualizations: Nine Effective Strategies

Occam's Razor

In service of that belief, there are few things that bring me as much joy as visualizing data (smart segmentation comes close). While I am partial to the simplest of visualizations in a business data context, I love a simple Bar Chart just as much as a Chord or Fisher-Yates Shuffle.

Closing Data's Last-Mile Gap: Visualizing For Impact!

Occam's Razor

Experiment with visualization options, even in Excel! Consider experimenting with different visuals in Excel ( or D3js ). Once you arrive at that conclusion, you’ll apply principle #4 and realize that the most interesting data on this slide is not the visual… Rather, it is the table on the top right corner of the slide. The visualization is getting in the way, creating a wider last-mile gap. There’s an even more important principle to learn from this visual….

Watch Out for Business Intelligence "Gotchas"

Howard Dresner

But I’ll make an exception now – I predict that we’ll see even more success in BI initiatives in 2015 if organizations eliminate these “gotchas” from their practice. When it comes to commentary with valuable real-world insights, I can always count on the participants at my weekly #BIWisdom tweetchats on Fridays. I kicked off a recent discussion with this question to the group: “What are the top five worst practices in business intelligence?”

Visualization's Twisted Path

Darkhorse

Visualization is not a straight path from vision to reality. But, seeing one visualization regularly leads to ideas about another. We get that sense of motion for geographically close states, but the visual doesn’t match our mental model of migration.

It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Delete anything that's redundant, and simply visualize what's left for sharper focus. The challenge of course is that it is quite odd to see that the 2,120k number is on a graph that is visually lower than 106k.

So What’s the Buzz Surrounding VR Data Visualization?

The Data Visualisation Catalogue

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. For a few years now, there have been a number of articles prophesying the coming of VR to the field of data visualization and the big data industry. which talks about the issues and challenges currently facing VR data visualization.

More datasets for teaching data science: The expanded dslabs package

Simply Statistics

They are used in improved problem sets and new projects within the HarvardX Data Science Professional Certificate Program , which teaches beginning R programming, data visualization, data wrangling, statistics, and machine learning for students with no prior coding background. Introduction.

Introduction To The Basic Business Intelligence Concepts

datapine

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights.

Natural Language in Python using spaCy: An Introduction

Domino Data Lab

Next let’s use the displaCy library to visualize the parse tree for that sentence: In [4]: from spacy import displacy?? The displaCy library provides an excellent way to visualize named entities: In [15]: displacy.render(doc, style="ent").

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. In this article, we argue that a knowledge graph built with semantic technology (the type of Ontotext’s GraphDB) improves the way enterprises operate in an interconnected world.

The ethics of data flow

O'Reilly on Data

There’s a long history of language about moving data: we have had dataflow architectures, there's a great blog on visualization titled FlowingData , and Amazon Web Services has a service for moving data by the (literal) truckload.

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Ontotext

In case you missed the party, travel back to 2015 or to 2006 or maybe to the moderately noisy one in 1999. Frequently dubbed too difficult to build or too complicated to understand, semantic technology is increasingly gaining popularity. Again.

Tableau Grows Up!

Rita Sallam

The vision revealed in the keynote had an unmistakable emphasis on the enterprise, but as the market for visual-based data discovery is mainstreaming, Tableau also laid a foundation for building a next generation, ‘smart’ BIA platform. Everyone experiences rites of passage into adulthood.

Cross-Functional Trade Surveillance

Cloudera

This post describes how native visual analytics on a Cloudera Enterprise Data Hub is the keystone that supports a holistic trade surveillance program. This example took place in 2015 and was only discovered through extensive cross-jurisdictional coordination among global regulatory bodies.

Ten Takeaways from the IBM Think Conference

Hurwitz & Associates

IBM has developed a dashboard that enables the customer to visually see everything that is running and performing across platforms. The company donated its open source blockchain technology, Hyperledger to the Linux Foundation in late 2015.

Just Buying Into Modern BI and Analytics? Get Ready for Augmented Analytics, the Next Wave of Market Disruption

Rita Sallam

Over the past 10 years or more, visual-based data discovery tools (e.g. A new paradigm — augmented analytics — has emerged, which we started writing about in 2015 (“Smart Data Discovery: Enabling a New Class of Citizen Data Scientists”). Machine learning automation is affecting all of enterprise software, but will completely transform how we build, analyze, and consume data and analytics. Tableau, Qlik, Tibco Spotfire) have disrupted the traditional BI market (e.g.

Is A Big Data A Blessing Or A Curse To The Old Internet?

Smart Data Collective

Even MySpace, once a bustling social media site with hundreds of thousands of songs, lost multiple years of uploads during a server migration that effectively erased everything uploaded to the site before 2015. Websites that visualize YouTube’s traffic help bring a sense of perspective to what is an almost impossible task. Although the Internet has existed since around the beginning of the Cold War, it didn’t reach American households until the mid-1990s.

Gartner IT Expo: Real Time Data Drives Fanatics Growth

Perficient Data & Analytics

Amit Jain, Director of BI and Data Visualization at Fanatics, spoke on what they are doing to keep the world’s largest seller of licensed sports merchandise, ahead of the competition. From 2011 to 2015, they had SSRS reports that were not real time.

IT 54

No one knows where America’s helipads are, except this neural network

Insight

Photo by Wayne Chan on Unsplash The race to the future I don’t know about you, but I distinctly remember a promise from 1989 that flying cars would be commonplace by 2015. Below is a visualization of this approach for the example area I provide in my video demo.

Data Science at The New York Times

Domino Data Lab

It’s a visual problem so it works both in our MSE and it works by your eyeballs. For visualization we’re not building our own dashboards. However, in 2014, 2015 the editors were falling in love with Slack. Chris Wiggins , Chief Data Scientist at The New York Times, presented “Data Science at the New York Times” at Rev.

Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

In 2015, only 17% of organizations surveyed had big data implementations. When dealing with big, fast, and complex data, you need to be able to visualize your analytics and BI in real-time. Data analytics priorities have shifted this year.

Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

For content, the foundational material needs hands-on examples which reinforce statistical thinking , how to build reproducible workflows , understanding how to use confidence intervals , how to visualize data , no free lunch theorem, creating a confusion matrix , and so on. Joel Grus (2015).

Is Your Brand Magnificent At Digital Marketing? A Diagnostic Framework.

Occam's Razor

My answer: I would spend the budget I need to take 100% of the Proactively Capture (right most in the visual above) and then steadily spend rest of the budget moving from right to left. Do you have a 2009, 2012, 2015 mobile strategy? You are ready for 2015!

Ten Takeaways from the IBM Think Conference

Hurwitz & Associates

IBM has developed a dashboard that enables the customer to visually see everything that is running and performing across platforms. The company donated its open source blockchain technology, Hyperledger to the Linux Foundation in late 2015. Will multicloud and software anywhere be the differentiator that IBM needs? After having been IBM watchers for many years, we are in a unique position to assess what is happening and what has changed.