Data science is all the rage. Almost every CMO I know wants a data scientist for their very own – they are the status symbol du jour for senior executives everywhere. But… building the right data science team for your organization is not as easy as picking the right data scientist.
Data science allows us to combine hypothesis-based (deductive) reasoning and pattern-based (inductive) reasoning to extract actionable information from diverse data sources.
What can we learn from the data we already have? Can traditional demography be adapted to describe the world as we observe it? Are there tools that could help us better understand consumer behavior? What does it mean to sell an actual audience as opposed to selling a proxy for it?
IBM on Tuesday announced a new product called Watson Analytics, one they claim will bring sophisticated big data analysis to the average business user. Watson Analytics is a cloud application that does all of the the heavy lifting related to big data processing by retrieving the data, analyzing it, cleaning it, building sophisticated visualizations and […]
Our 7th Annual Media Technology Summit is just a few weeks away, and the subject of data science is going to be front and center. Each and every one of us creates a wealth of data every day, but… information is not knowledge. The data must be wrangled and put in context to make it […]