Blog / Data Analytics

Customer data analytics explained to managers

Customer data analytics explained in business questions and answers. An overview of its key features, as well as raw data and technologies required.

What is Big Data? A buzzword explained

An introduction to big data: we explain what big data is, give multi-industry examples of practical applications and explain good-to-know terms.

How banks can boost cross-selling with predictive analytics

With banking analytics software, banks can predict customer behavior, anticipate future events, and gain new insights that improve cross-selling.

Spark vs. Hadoop MapReduce: Which big data framework to choose

Hadoop MapReduce or Apache Spark? We explore two leading big data frameworks to understand the business needs each of them can satisfy.

Customer big data analytics: an overview

Is your business among those taking the most from customer analytics? Read our new business intelligence blog post to check.

PepsiCo’s competitive strategy turned into KPIs

Let’s look at the KPIs and business strategy of PepsiCo from the perspective of their recently published Q2 2017 results.

Banks need emotion recognition software to increase customer loyalty

Banking software consultants advice using text, voice and image analysis software to interpret customers’ emotions and boost customer loyalty.

How BI can help create a unique customer experience

Striving to deliver a unique customer experience, companies should not overlook the benefits that customer intelligence can bring.

4 types of data analytics to improve decision-making

Learn about different types of data analytics and find out which one suits your business needs best: descriptive, diagnostic, predictive or prescriptive.

How to translate a corporate strategy into KPIs

Without the right KPIs, it’s impossible to execute even a brilliant strategy. Explore why KPIs are important and how BI helps in strategic management.