Remove 2013 Remove Big Data Remove Data Collection Remove Visualization
article thumbnail

Data-Driven Pitch Deck Examples for Inspiring the Next Big Screenwriter

Smart Data Collective

Big data has been very important in the creative and entertainment sectors. Many artists are using big data to improve the quality of their work. We mentioned in the past that big data has been very valuable for Hollywood. A growing number of screenwriters are discovering the wonders of big data.

article thumbnail

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

Occam's Razor

Ten years, and the 944,357 words, are proof that I love purposeful data, collecting it, pouring smart strategies into analyzing it, and using the insights identified to transform organizations. Delete anything that's redundant, and simply visualize what's left for sharper focus. simplification and 2.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. Eliminate distractions, make data the hero! #5. Consolidate data, be as honest as you can be. #7. Ditch the text, visualize the story.

article thumbnail

Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

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. Just skip the we can give you data and benchmarks on performance bits. If you do use them, please consider the data collection methodology.

article thumbnail

What Is Embedded Analytics?

Jet Global

This is in contrast to traditional BI, which extracts insight from data outside of the app. We rely on increasingly mobile technology to comb through massive amounts of data and solve high-value problems. Plus, there is an expectation that tools be visually appealing to boot. Their dashboards were visually stunning.