In today’s marketing data plays pivotal role. To take right marketing decisions, you need to carefully handle the processes from data collection to data analytics.

Medium contributor Talib Morgan has shared six best practices to help you create a strong data analytics strategy that delivers great result.

Morgan says, “Do you remember the lessons from high school history classes about the California Gold Rush? I used to enjoy learning how men collected their families and their belongings into their covered wagons and headed out west to mine for gold and, hopefully, strike it rich. The gold prospectors of the 19th century wouldn’t be lost in the great data rush of the 21st century.

For marketers, much like California’s rivers, the ever increasing availability of rushing streams of customer data present great opportunity (all without having to load your family into your horse-drawn covered wagon). Taking advantage of that opportunity, however, requires forethought and preparation. Below, I offer six best practices to consider as you embark on your data journey.

Begin with a Question

A common challenge people run into with data is the “now what”. You go through the process of assembling a data team, identifying data sources, installing a data management platform (DMP) and being excited about having access to all of this data but… now what? Now what is the result of not starting with a question”.

6 Best Practices for Getting the Most from Your Marketing Data Analytics Strategy

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