Analytics and Data Management

It is the 80s. MTV is still alive. On a busy Monday morning, you rush to your bank because you need money for your college fees.

If you were to answer, what’s the difference between business intelligence and business analytics? What would you say?

In a recent example from Europe, a bank tried several programs to retain its shrinking customer base by focusing on inactive customers, but it has failed.

Data Visualization has gained momentum in almost every field, except finance. It is only ironic that the department that deals with data and numbers all day doesn’t feel the need to visually represent them.

Thanks to its considerable benefits and advantages, Big Data is making inroads into healthcare, and for good reason. Big data applications in healthcare will end up significantly impacting our lives.

Transformation has occurred in every day and age. We did this when we moved from physical to digital. Now, AI (Artificial Intelligence) and IoT (Internet of Things) are taking center stage when ETL (Extract, Transform, and Load) has replaced manual transformation.

According to a survey, 89% of organizations use data analytics applications to improve decisions. Another one points to the fact that companies using data analytics are 2.5 times more likely to make better decisions than those who do not.

Growth Analytics is probably the most rewarding initiative to boost B2B sales, conversions, user retention, and revenue rates.

Data visualization analytics has the potential to streamline data interpretations and analyses for businesses.

Research data analytics involves more rigorous, efficient, and cutting-edge methods to conduct complex surveys and research work.