Alation

AUGUST 26, 2021

Finally, data catalogs leverage behavioral metadata to glean insights into how humans interact with data. Augmented Analytics. DI empowers analysts to apply augmented analytics to applications, supporting predictive and prescriptive analytics use cases. Next, you test these use cases with the software chosen.

Metadata 64

Metadata Data Governance Dashboards Software 64

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. Consider all customer interactions and their data sources as potential sources for predicting future customer behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. Storytelling is a nice one to use early on to test the approach. Yes, prescriptive and predictive analytics remain very popular with clients. Yes, and no.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52