11/23/2016The Graphic Continuum-our library of graphic types-has been available in and versions for about two years. It has helped countless people expand their graphic literacy and consider different visualization options for their data. For the past few months, and I have been creating a card deck based on the Graphic Continuum project. Each card in this set of 52-each card is 3″x4.5″-contains an original image on one side and description of the graph type on the other. We’ve derived the descriptions from our own research and Severino’s Data Visualisation Catalogue project. The cards are colored and categorized in our original 6 categories of Distribution, Time, Comparing Categories, Geospatial, Part-to-Whole, and Relationships. We felt that a set of cards would be useful for teaching, researching, or simply spurring your imagination. They are more portable than the poster and you can use them with your teams to work in a more analog way as you develop your data visualization ideas and approaches. As in the past, we haven’t captured every graph type, but we view this project as a thought-starter, as a way to consider different or alternative graphs for your data.
Few weeks ago, I came across Rocketgraph. This is a new platform that offers custom reports based on cloud data sources. While the concept is not new, what sets this company apart is the reports & dashboards are sold to users in a marketplace. The platform brings the analytics buyers and sellers together and provides the infrastructure. For years, many vendors have promised custom out-of-the-box solutions. In a majority of cases, most businesses require significant customizations. Will a marketplace approach to analytics offer an intermediate solution with significant time & cost savings? I interviewed Rocketgraph co-founder Constantine Nikitiadis to found out. Take a listen.
Data visualization blogosphere is filled with great ideas and inspiration. What is missing is the candid conversations about the limitations of data. Unfortunately, finding quality content on this topic is like finding a needle in a haystack. So, when one of the greatest thought leaders in SaaS data world wrote on this topic, I feel obligated to share it with you. Here is Tomasz Tunguz on the limitations of data.
Self-service has been a buzzword in the analytics industry for the last few years. While the self-service movement has been instrumental in bringing about rapid decision making and empowering business users get answers to their data questions, one has to be aware of the key skills still required. Stephen Few highlights this important foundation of building a data-driven culture.
Subscribing to email newsletters written by experts on growth and analytics is a great way to learn. Here are five newsletters that stand out from the rest. Written by entrepreneurs, data scientists, growth marketers and venture capitalists, each one offers unique insight into the process of using data to make better decisions and build a better company.