Randy Krum
President of InfoNewt.
Data Visualization and Infographic Design

Infographic Design

Infographics Design | Presentations
Consulting | Data Visualizations

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Entries in IBM (2)


23 Reasons to Get Excited About Data (Free eBook)

23 Reasons to Get Excited About Data IBM eBook

The team at IBM Watson Analytics has released a free, new eBook 23 Reasons to Get Excited About Data that explores the latest trends, practical applications and predictions about big data. I'm honored to have been included in the book as an expert on data visualization, along with all of the other IBM Watson Analytics applications!

These days, everyone’s tossing around the term “big data.” The term is nothing new – businesses have been collecting and analyzing data since the 1950s, before the two words were ever even uttered. Take a look back in time and you’re likely to see someone laboriously poring over a sheaf of spreadsheets, manually going through row after row to identify trends and gain insights.

More people are doing more things – personally and professionally – with data, and best practices will continue to develop. Self-serve, more democratized data analytics will Get Bigger, Get Faster and Get Cloudier!

I participated in an IBM video series about big data and visualization that you can see HERE. Data visualization is such an important conponent for humans to the analyze data, discover insights and communicate our findings to others! I'm very passionate about helping people understand how important data visualization truly is! Here are a couple of the thoughts I contributed to the ebook:

Humans are visual creatures. We can process visual information extremely fast, and are 6.5 times more likely to remember visual information than text. These are incredibly important facts when you are trying to communicate data to others. Use data visualizations to help your audience understand your information, and remember it later when it could influence their decisions or behavior. - Randy Krum

Data visualization is a language of context. You dramatically improve comprehension of your data when you design a visualization that puts your data into context for the audience. This can be a series of data points over time, or comparing your data to reference data to give the audience the perspective of how your data fits into a bigger picture. Storytelling with data is more than designing a chart, it’s the art of communicating specific insights from your data. - Randy Krum

Are you doing everything you could with your data? The future of data, along with predictive analytics and data visualization, is very exciting! Grab the free ebook now!

23 Reasons to Get Excited About Data IBM eBook Randy Krum Quote


Experts Predict the Future of Data Analytics and Visualization

IBM Watson Analytics is a data discovery service that guides data exploration, automates predictive analytics and enables dashboard and data visualization creation. Through their Expert Series videos, Watson Analytics explores the future trends of data analytics. I had the pleasure of participating in this series, along with other prominent figures in the field.

Watch these interviews to learn about today’s trends in data visualization, data analysis, and which trends we think will have the most significant impact on the future of analytics.


What trends in data visualization are you seeing today and what are the opportunities for the future? (2:24)

Cathy Harrison (@VirtualMRX), Randy Krum (@rtkrum), William McKnight (@williammcknight), Tony Adams (@tonyadam)


Which trend do you think will have the most significant impact on the future of Analytics and why? (1:52) (1:44)

Deborah Berebichez (@debbiebere), Randy Krum (@rtkrum), Anil Batra (@AnilBatra), Valdis Krebs (@OrgNet), Christopher Penn (@cspenn)


What is your #1 tip for anyone who is asked to use data to inform business decisions? (2:22)

Deborah Berebichez (@debbiebere), Miles Austin (@milesaustin), Juntae DeLane (@JuntaeDeLane), Anil Batra (@AnilBatra), Tony Adams (@tonyadam)


What trends in data analysis are you seeing today, and what are the opportunities for the future? (2:19) (1:37)

Emilio Ferrara (@jabawack), Bob E. Hayes (@bobehayes), John D. Cook (@JohnDCook), Juntae DeLane (@JuntaeDeLane), Miles Austin (@milesaustin)



You can also subscribe and follow all of the IBM Watson Analytics videos on YouTube: