Business Intelligence, Big Data Management

Enhancing Data Empowerment in Financial Services with Modern Cloud Analytics

November 30, 2022

Enhancing Data Empowerment in Financial Services
Modern cloud analytics can help financial services organisations to gain greater insight into their ever-increasing volumes of data, enabling them to improve customer experience, boost productivity and generate new revenue streams.

Spotlight

Lumina Analytics

Lumina Analytics provides intelligent solutions to help clients manage and mitigate risk. We serve large, regulated industries, law firms and governments globally with risk management intelligence. Our approach is to mine data from multiple sources and develop risk intelligence through a combination of machine learning and human analytics.

OTHER WHITEPAPERS
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Advanced Analytics for Decision Making

whitePaper | November 25, 2022

We live in a world of exponentially growing data. Within these massive datasets lies incredible potential, but only if users are equipped with tools capable of managing big data at scale and without lag.

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Build Modern Data Streaming Analytics Architectures on AWS

whitePaper | December 1, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

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Top 6 use cases for a self-sustainable Contact Center powered by Connected Data

whitePaper | August 10, 2022

Connected Data, though used synonymously with Big Data, is carefully created and curated for storage and reference during the customer’s lifetime. As we already know, enterprises need to carefully build and store Big Data to avoid creating a data swamp. Connected Data goes a step ahead of Big Data. It is customer-specific data built in a context-sensitive framework to ensure a 360-degree view of the customer profile, purchasing habits, preferences, etc., at a glance.

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The Evolution of Clinical Data Management into Clinical Data Science

whitePaper | September 12, 2022

Clinical Data Management (CDM) evolved over the last two decades from managing data entered on paper Case Report Forms (CRFs) to managing data transcribed into Electronic Data Capture (EDC) systems. The Society for Clinical Data Management (SCDM) strongly contributed to this first significant CDM evolution through its Good Clinical Data Management Practice 1 (GCDMP©) Chapters first published in 2000 and its certification program for Clinical Data Managers2 subsequently released in 2004.

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Human-Proofing Sensitive Data Governance with Automated Data Classification

whitePaper | December 1, 2022

IT and business leaders are increasingly seeking to harness the valuable data they collect every day to transform their business operations. Yet, these data assets are only as valuable as their organization’s ability to securely access and convert siloed information into scalable enterprise-wide insights. Even though every modern enterprise generates a goldmine of data, many lack the necessary infrastructure to mitigate data privacy and security concerns enough to fully leverage that data for informed decision-making and maximum impact.

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The Lock and Key of Data Literacy and Data Governance

whitePaper | November 24, 2022

Without a data-literate team, your company doesn’t have a chance of becoming data-driven. “Speaking data” is one of the biggest skills in the coming years as more technical skills (think SQL or R programming) become embedded in the tools themselves, demonstrating what we’ve always known — that tools will only take you so far. Your real resource is people.

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Spotlight

Lumina Analytics

Lumina Analytics provides intelligent solutions to help clients manage and mitigate risk. We serve large, regulated industries, law firms and governments globally with risk management intelligence. Our approach is to mine data from multiple sources and develop risk intelligence through a combination of machine learning and human analytics.

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