Customer data analytics explained in business questions and answers. An overview of its key features, as well as raw data and technologies required.
An introduction to big data: we explain what big data is, give multi-industry examples of practical applications and explain good-to-know terms.
With banking analytics software, banks can predict customer behavior, anticipate future events, and gain new insights that improve cross-selling.
Hadoop MapReduce or Apache Spark? We explore two leading big data frameworks to understand the business needs each of them can satisfy.
Is your business among those taking the most from customer analytics? Read our new business intelligence blog post to check.
Let’s look at the KPIs and business strategy of PepsiCo from the perspective of their recently published Q2 2017 results.
Banking software consultants advice using text, voice and image analysis software to interpret customers’ emotions and boost customer loyalty.
Striving to deliver a unique customer experience, companies should not overlook the benefits that customer intelligence can bring.
Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.