Big Data Analytics in motor and health insurance: a thematic review

April 28, 2019

Data processing has historically been at the very core of the business of insurance undertakings, which is rooted strongly in data-led statistical analysis. Data has always been collected and processed to inform underwriting decisions, price policies, settle claims and prevent fraud. There has long been a pursuit of more granular datasets and predictive models, such that the relevance of Big Data Analytics (BDA) for the sector is no surprise.

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QuantFarm Training & Consulting Pvt. Ltd.

QuantFarm (www.quantfarm.com) is a full-service, enterprise software consulting firm, focused exclusively on Big Data & Data Science Projects. Big Data has definitely caught the attention of companies globally; But the massive hype, wide range of technologies & a myriad of vendors, make finding the right solution harder than usual. To address these challenges, QuantFarm was founded with the singular purpose of enabling enterprises adopt Big Data and Data Science quickly and easily. And use it effectively to drive bottom-line results. What we offer?

OTHER WHITEPAPERS
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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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The Blueprint for a Data Governance Program

whitePaper | August 25, 2022

Most organizations realize data governance is necessary - if not indispensable - for mitigating data risk while sustaining its longterm value. However, there’s still a fair amount of ambiguity around what exactly data governance is and how to best implement it. By definition, data governance is an enterprise-wide initiative for formalizing the processes, people, and protocols for using data. It reduces risk while increasing data’s ultimate value: consistent reusability for achieving mission critical objectives. Data governance is a strategic approach for creating unassailable trust in data throughout the enterprise.

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Modernizing Clinical Data Management to Be Scalable, Flexible, and Intelligent

whitePaper | May 26, 2022

Clinical trials are becoming more complex and a confluence of forces—including the ongoing COVID-19 pandemic, greater emphasis on patient experience, increasing protocol complexity, and precise value differentiation—is accelerating this complexity. Trials have evolved to include an ever-expanding array of data sources, increased data volume and precision, decentralized clinical trials (DCT), and adaptive designs.

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Why Deck 7

whitePaper | January 1, 2020

With over 2,800 campaigns each year delivered through a team of 300+ digital, data, and technology specialists, Deck 7 is a first resource for B2B demand generation services for marketers worldwide. Clients leverage Deck 7’s multichannel content marketing services and Media 7’s network of 30+ online publications for content syndication to engage over 95 million buyers across 16 industries and 120+ countries.

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Unlocking the Business Value of the Data Lake

whitePaper | November 18, 2022

Data lakes have enormous potential as a source of business intelligence when included as part of an advanced open data architecture. Organizations use data lakes to efficiently store and process a combination of structured, semi-structured and unstructured data at scale, powering multiple business intelligence and data science initiatives to support a variety of business units across an organization.

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How to Analyze and Maximize Customer Retention: Asset

whitePaper | May 10, 2022

Understanding all the factors that impact customer health and retention requires a comprehensive view of complex data.

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Spotlight

QuantFarm Training & Consulting Pvt. Ltd.

QuantFarm (www.quantfarm.com) is a full-service, enterprise software consulting firm, focused exclusively on Big Data & Data Science Projects. Big Data has definitely caught the attention of companies globally; But the massive hype, wide range of technologies & a myriad of vendors, make finding the right solution harder than usual. To address these challenges, QuantFarm was founded with the singular purpose of enabling enterprises adopt Big Data and Data Science quickly and easily. And use it effectively to drive bottom-line results. What we offer?

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