Data & Analytics Archives - Page 10 of 13 - Centric Consulting

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Applying a Customer 360-Degree View to P&C Insurance Companies

A Customer 360-view allows forward-thinking, customer-focused insurers to differentiate themselves and retain customers.

Insurance Data: Where Did That Number Come From?

Dealing with insurance data? Apply these four concepts for a single version of facts, truth and confidence in the conclusions.

Artificial Intelligence: A Cognitive Services Tech Talk

The Centric India Artificial Intelligence Cognitive Services Research Group conducted an introductory Tech Talk on Microsoft Cognitive Services.

[Blog Series] The Painful Irony of Insurance and Data

In our blog series, we'll explain how to modernize insurance data and analytics by pairing a modern data architecture with an agile delivery approach.

Don’t Get Left Behind: Invest in Machine Learning Consultants

Misconceptions about machine learning affect your business. Staying informed allows you to move forward with confidence and intentionality.

Enriched and Raw Data in Insurance: Can’t They Just Get Along?

Raw data in insurance needs processing, cleaning, and polishing. Only then can it packaged. This is what we call data enrichment.

[Podcast] Discussing Trends in Data and Analytics

On our first podcast, your host John Kackley explores the broad boundaries of data and analytics with Data and Analytics practice lead Carlos Cruz.

Flip the Script on Customer Retention

Come with us as we walk through a journey of evaluating workflows and introducing a data solution to improve customer retention rates.

Data Governance in Insurance: All Pain, No Gain?

There is no way to eliminate all the pain in data governance. It is hard work. But with a good plan, you can minimize the pain and maximize the gain.

Data in Insurance: How Real is the Need for Real Time?

Learn how you can provide real-time status updates on insurance policies and claims as well as personalized reports and statistics for adjustors and agents.

How Predictive Analytics Can Triage Key Risk Factors Impacting Nurse Attrition

A predictive data model can provide insights into risk factors impacting nurse attrition and help organizations develop data-driven strategies to mitigate risks.

Insurance Business Intelligence: How To Spend More Time on Value-Added Analytics

There is no one-size-fits all-solution for insurance business intelligence needs. But there's a four-part approach and tech that can help.