Being data-driven means building tools, abilities and a culture that acts on data. There are many different types of forward-looking analysis, varying in degrees of sophistication. This interesting topic came to us from Bdaily in their article, “3 challenges preventing businesses becoming data-driven.”
Over the last decade, it’s clear that data has increasingly become a critical asset in helping businesses thrive, and therefore, there’s a need to take advantage of the opportunities data enables in pursuing better customer and financial outcomes.
Data is a key ingredient in this success. Of course, it can’t just be any data; it has to be the right data. The data set has to be relevant to the question at hand. It also has to be timely, accurate, clean, unbiased and it has to be trustworthy.
There is a significant amount of distrust in information. The average professional looking at data does not understand how that data got there, when it is useful and what state it is in. This is important when data insight contradicts a long-standing norm.
Melody K. Smith
Sponsored by Data Harmony, a unit of Access Innovations, the world leader in indexing and making content findable.
