There have been 5 summers since former Wired Editor-in-Chief Chris Anderson published an article about Big Data that concluded with the following statement: “Correlation supersedes causation, and science can advance even without coherent models, unified theories, or really any mechanistic explanation at all.” Big Data is not only changing science-it’s changing the way businesses interact with and gain insight from their data.
Data projects are becoming a necessity across industries, and they’re intimidating analysts and managers alike. The data is there, lurking in the back of workers’ minds and invading everyone’s thoughts, planting seeds of uncertainty into decisions because companies just don’t know what they don’t know.
The development of a successful data analytics project doesn’t have to be so imposing that it stalls the work that needs to be done. Developing an outcome-driven analytics endeavor can be rewarding and easier than you think. Here are suggestions for completing successful data analytics projects without even touching data.
When there are only so many hours in the day and three times as many things to make happen in them, the deluge of conversation in the news about your field can be overwhelming, distracting, and frankly something that your time is too precious to give attention to. That’s not true for Steve Lohr’s work.
I met Steve in Atlanta during Big Data Week. My interactions with Steve as a presenter of a fantastic talk and moderator of a panel about all that Big Data can do confirmed the soundness and intention of thought that Steve strives to embody in his work. His message at Big Data Week concerning the importance of Big Data as a tool to understand the world reflects his ability to listen, understand the depth of a movement, and communicate with nuance the strengths and weaknesses of new technologies.
Due to recent developments in the news, Big Data has gone from being a tech community buzzword to being dinner table debate fodder. What does the general public really know about Big Data, though? If you’re feeling the need to catch up on all things Big Data, you’re in luck—there are several readable resources available right now that are worth your time. Here’s a short Big Data reading list to help you get through the summer.
Keeping ahead of the conversation around data analytics is important for today’s Big Data player, both to stay informed of trends for content’s purposes and to keep informed of the conversation around Big Data. Everyone wants to know what the cutting edge of analytics is, and by keeping a trained eye on the buzz words, what types of solutions are trending, and how Big Data is actually shaping the world around us, we’ve noticed a thing or two about the Big Data hype cycle.