Data Visualization: Creating Impactful Reports

Data visualization is a great way to create impactful reports, dashboards that improve decision making, better ad-hoc data analysis, improved information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is a critical component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. Visualizations help business users to see data patterns that were not obvious before. Data visualization is the key to present data in a way that is easy to interpret, saving time and energy.

Spotlight

Lumiata

Lumiata wants to radically transform the way we put health data to work. We believe the key to unlocking the full potential of big data in healthcare lies at the intersection of data science and medical science. We exist at that core. Lumiata is a predictive analytics company that leverages medical artificial intelligence to enable health organizations to manage risk and prioritize care. The Lumiata Medical Graph analyzes hundreds of healthcare data sets within the context of clinical practice and the world’s medical knowledge, and maps out insights on current and future health trajectories of individuals. Founded in 2013 and based in Silicon Valley, Lumiata’s team is comprised of clinicians, data scientists, and experts in care delivery.

OTHER WHITEPAPERS
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Cisco HyperFlex HX Data Platform

whitePaper | September 23, 2022

The Cisco HyperFlex™ HX Data Platform revolutionizes data storage for hyperconverged infrastructure deployments and makes Cisco HyperFlex Systems ready for your enterprise applications—whether they run in virtualized environments such as Microsoft Windows 2016 Hyper-V or VMware vSphere, in containerized applications using Docker and Kubernetes, or in your private or public cloud. Learn about the platform’s architecture and software-defined storage approach and how you can use it to eliminate the storage silos that complicate your data center.

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A Modern Data Architecture

whitePaper | April 7, 2021

Assembling the perfect data stack is impossible. But for most data teams, the path to leveraging rapidly evolving tech and best-in-class tools is even more difficult when it’s impeded by the pitfalls of monolithic legacy applications.

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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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Data Encryption Technologies for data protection on the Now Platform

whitePaper | December 29, 2022

At ServiceNow, protecting customer data is a top priority. Different customers have different use cases, so we provide a range of encryption options for maximum security and flexibility. This document provides an overview of these options and is broken into three sections:

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Democratizing Data Analytics in Financial Services

whitePaper | February 22, 2023

There are two reasons financial institutions are learning as much about their customers as possible by gathering—and processing—as much data as they can. Firstly, this information is invaluable for delivering more personalized products and services to increase revenues while making smarter decisions and improving operational efficiency. Better customer understanding can improve things like underwriting accuracy, for example, and many others.

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Logical Data Fabric

whitePaper | December 27, 2022

In this whitepaper we will define “data fabric,” look at different implementation strategies, and highlight the value of a logical approach. The paper will delve more deeply into the technical architecture of a logical data fabric and the key components to build a successful one, including the role played by artificial intelligence (AI) and data virtualization.

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Spotlight

Lumiata

Lumiata wants to radically transform the way we put health data to work. We believe the key to unlocking the full potential of big data in healthcare lies at the intersection of data science and medical science. We exist at that core. Lumiata is a predictive analytics company that leverages medical artificial intelligence to enable health organizations to manage risk and prioritize care. The Lumiata Medical Graph analyzes hundreds of healthcare data sets within the context of clinical practice and the world’s medical knowledge, and maps out insights on current and future health trajectories of individuals. Founded in 2013 and based in Silicon Valley, Lumiata’s team is comprised of clinicians, data scientists, and experts in care delivery.

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