article thumbnail

What is data analytics? Analyzing and managing data for decisions

CIO

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Analytics 324
article thumbnail

Business intelligence and analytics firm Pyramid Analytics raises $100M

TechCrunch

Pervasive BI remains elusive, but statistics on the category reveal that about a third of employees use BI tools for analytics to inform strategy. The big data and business analytics market could be worth $684 billion by 2030, according to Valuates Reports, if such outrageously high estimates are to be believed.

Analytics 215
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Fire Up Your Insurance Engine with Predictive Analytics

Newgen Software

Process automation has been at the forefront in the insurance landscape, but now, the future of insurance will be shaped by behavioral intelligence and predictive analytics. The post Fire Up Your Insurance Engine with Predictive Analytics appeared first on Newgen.

article thumbnail

Express Cloudera POV on 2021 data trends in insurance

Cloudera

We’ve written about the changes forced on the traditionally risk-averse insurance industry by COVID-19. In 2021, with the crisis hopefully fading, insurance will have time to evaluate the changes made in 2020, assessing what worked and what didn’t, and planning a new way forward rather than reacting in real time. .

Insurance 105
article thumbnail

Combating Fraud in Insurance with Data

Cloudera

The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting. The different venues to commit fraud against an insurer are mind-boggling, with serious financial consequences.

article thumbnail

Minding the Analytics Gap

CTOvision

Like others in the insurance industry, XL has long relied heavily on data analysis to understand and price its products. In response, XL produces increasingly complex analytics, and demand for analytical insights progressively permeates the organization. Yet they must still make these decisions.”. XL is far from alone.

article thumbnail

Streaming Analytics in the Real World

Cloudera

From leading banks, and insurance organizations to some of the largest telcos, manufacturers, retailers, healthcare and pharma, organizations across diverse verticals lead the way with real-time data and streaming analytics. This speed of change has enormous implications for businesses.