Business Intelligence, Big Data Management

A Modern Approach to Data Sourcing & Optimization

March 3, 2023

A Modern Approach to Data Sourcing & Optimization
In today’s world, data is king and has become a major source of competitive differentiation for businesses across all industries. The COVID-19 pandemic has further accelerated the use and importance of data as the world’s governments and businesses adapted.

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Metric Arts

Metric Arts, a business intelligence consulting company, whose mission is to provide guidance in decision making processes of our customers through outstanding service, combining adequate information management, providing tools and continuous learning after two clear objectives: to maximize value and reduce risk. Established in 2007 with headquarters in Santiago, Chile and Lima, Peru. Provides engineers and analysts with the competences and experience that deliver better solutions. Key focus areas: Data Science, Big Data, Business Intelligence (DataWarehousing, OLAP, Reporting, Data Mining), Performance Management, Process Intelligence and Machine Learning…

OTHER WHITEPAPERS
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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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Our Approach to Data Analytics

whitePaper | November 4, 2022

Truveta offers the most complete, timely, and highest-quality data on US health, enabling actionable insights by researchers in life sciences and healthcare.

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How AI-Powered Analytics Transforms LIMS Data into Valuable,Action-Ready Insights

whitePaper | December 5, 2022

When modern LIMS software overtook traditional paper-based record-keeping in the lab, operations in every industry improved. Automated data collection drove efficiencies at the bench. Cloud solutions accelerated knowledge-sharing between partners. Built-in security and permission features enhanced data integrity. There’s hardly a lab in operation right now that hasn’t gained from this leap towards digital transformation.

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Effective Data Management Is Essential for Taming the 5G Network Complexity Beast

whitePaper | September 26, 2022

Communications service provider (SP) traffic volumes are progressively increasing as networks evolve, user devices gain greater capacity, and applications engaging with advanced network data such as that from the 5G standalone (5G SA) network exposure function (NEF) start to deliver on customer expectations. Cloudification of network functions — virtualized network functions (VNFs) and cloud-native network functions (CNFs) — is placing new burdens on old systems and processes not designed to manage intent-based network architecture. Silos of data locked within many installed systems keep transformation efforts from reaching anticipated objectives.

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Enterprise analytics: Ideal vs. Reality

whitePaper | September 28, 2021

Read on to learn how the Cloudera Data Platform accelerates your on-premises data analytics operations in a manner reminiscent of the cloud, unlocking flexibility, scale, and power from your traditional, on-premises data center.

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PulseNet 2.0 White Paper

whitePaper | May 1, 2023

This document is intended to provide a high-level overview of the proposed data architecture for PulseNet 2.0. If the details come across as vague, that merely reflects where we are in the development phase. Further questions are welcome and can be directed to pulsenet@cdc.gov with “PulseNet 2.0” in the subject line.

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Spotlight

Metric Arts

Metric Arts, a business intelligence consulting company, whose mission is to provide guidance in decision making processes of our customers through outstanding service, combining adequate information management, providing tools and continuous learning after two clear objectives: to maximize value and reduce risk. Established in 2007 with headquarters in Santiago, Chile and Lima, Peru. Provides engineers and analysts with the competences and experience that deliver better solutions. Key focus areas: Data Science, Big Data, Business Intelligence (DataWarehousing, OLAP, Reporting, Data Mining), Performance Management, Process Intelligence and Machine Learning…

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