A Data Science Central Community
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.