Birst BI

OCTOBER 30, 2018

Descriptive analytics are useful because this method of analysis enables financial services companies to learn from past behaviors. Descriptive analytics techniques are often used to summarize important business metrics such as account balance growth, average claim amount and year-over-year trade volumes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters. Worse than flipping a coin!

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Alation

AUGUST 26, 2021

BI leverages and synthesizes data from analytics, data mining, and visualization tools to deliver quick snapshots of business health to key stakeholders, and empower those people to make better choices. Augmented Analytics. Why reinvent the wheel? Transparency Supports Teamwork and Trust. What will success look like?

Metadata 64

Metadata Data Governance Dashboards Software 64

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. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. We currently do not have a CDO, how critical is this?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52