Most c-suite UK Retail professionals lack the data quality and predictive analytics capabilities needed to best support business-critical, forward decision making. This is the conclusion of our ...

Representative Image Retail data analytics is the act of collecting and interpreting data from all manner of customer touchpoints—buys, online behavior, feedback, even store traffic.

Finding success with data analytics requires good tools, good data management, and good strategy. Turn to these best practices to turn your growing volumes of data into better business decision ...

Both corporate values and customer expectations are driving more conscious policies and spending to benefit the planet. Here’s how data and analytics are helping retail organizations hit their ...

Addressing retail challenges with digital analytics The challenge is that the retail players need to keep pace with the fast change and invest in digital technologies like data analytics ...

We can’t predict where the next crisis is coming from or what shape it will take, but insights from analytics can help us make data-driven decisions more quickly.

With a majority of retail stores going digital, businesses are faced with a large volume of data – and data analytics is providing evidence for SMEs to make educated decisions.

This quick overview provides information on how to use the new Python integration in Microsoft Excel spreadsheets. Python libraries can now ...

Five ways Big Data is revolutionizing retail marketing 1. Growing, cross-channel data volumes The rise of mobile, tablets and social media has accelerated the growth of available customer data.

The programmatic mindset often works well when applied to non-advertising industries. Such has been the case for Crisp, the CPG and retail data analytics business founded by Are Traasdahl, who ...