11/23/2016Exploring and analyzing data is not at all like pumping your own gas. We should all be grateful that when gas stations made the transition from full service to self service many years ago, they did not relegate auto repair to the realm of self service as well. Pumping your own gas involves a simple procedure that requires little skill. Repairing a car, however, requires a great deal of skill and the right tools. The same is true of data exploration and analysis (i.e., data sensemaking). Self service has become one the most lucrative marketing campaigns of the last few years in the realms of business intelligence (BI) and analytics, second only to Big Data. Every vendor in the BI and analytics space makes this claim, with perhaps no exception. Self-service data sensemaking, however, is an example of false advertising that’s producing a great deal of harm. How many bad decisions are being made based on specious analytical findings by unskilled people in organizations that accept the self-service myth? More bad decisions than good, I fear. Describing analytics as “self service” suggests that it doesn’t require skill. Rather, it suggests that the work can be done by merely knowing how to use the software tool that supports “self-service analytics.”
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.
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.