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Big Data Business Intelligence and Analytics
for the Public Sector and Government

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L'Arizona State University usa HDP® per ottenere analisi approfondite

L'Arizona State University (ASU) è la maggiore università degli Stati Uniti ed è stata nominata “Most Innovative School in America” (scuola più innovativa d'America) nel 2016 da U.S. News and World Report. Con la sua Complex Adaptive Systems Initiative (o CASI), l'ASU ha creato un data lake genomico, composto da petabyte di dati genetici relativi a centinaia di soggetti. In questo modo è stato possibile eseguire attività di ricerca su come ogni variante individuale del genoma può influire sull'espressione di un gene del cancro, permettendo di ottenere dati approfonditi per trattamenti potenzialmente in grado di salvare vite.

I vantaggi dei dati nel settore pubblico

Public sector organizations are challenged with extracting actionable intelligence from data in various formats from many different sources. And with their resource and budget constraints, it’s an even greater challenge. With the Hortonworks Connected Data Platform, our customers can turn all their data to competitive advantage at an affordable price.

Use Cases

Uso di dati provenienti da macchine e sensori per mantenere l'infrastruttura pubblica in modo proattivo

Metro Transit of St. Louis (MTL) operates the public transportation system for the St. Louis metropolitan region. Hortonworks Data Platform helps MTL meet their mission by storing and analyzing IoT data from the city’s Smart Buses, which helped the agency cut average cost per mile driven by its buses from $0.92 to $0.43. It achieved that cost reduction while simultaneously doubling the annual miles driven per bus. Hortonworks delivered the MTL solution in partnership with LHP Telematics, an industry leader in creating custom telematics solutions for connected vehicles in the heavy equipment OEM marketplace, transportation, service, and construction fleets. The combined solution is making MTL bus service more reliable–improving the Mean Time Between Failures (MTBF) for metro buses by a factor of five, from four thousand to twenty-one thousand miles.

Similarly, a Department of Defense customer has turned to Hortonworks Connected Data Platforms to enable analytics and preventative maintenance on their fleet of aircraft. With HDP and HDF, the customer is able obtain predictive analytics and actionable intelligence on their platforms. In addition to reduced Total Cost of Ownership, realized results have included tangible improvements in lifecycle management, operational readiness, pilot safety, and supply management.


Enterprise Data Warehouse (EDW) Optimization

The Enterprise Data Warehouse has become a standard component of enterprise data architectures. However, the complexity and volume of data has posed some interesting challenges to the efficiency of the existing EDW solution. Realizing the transformative potential of Big Data depends on an organization’s ability to manage complexity, while leveraging various and disparate new data sources such as social, web, IoT and more. The integration of these new data sources into the existing EDW system is often costly and incredibly complex.

Hortonworks Enterprise Data Warehouse Optimization Solution is the industry’s only turnkey Hadoop-powered Business Intelligence (BI) solution. The EDW Optimization Solutions is powered by Hortonworks Data Platform (HDP®) and technology from partners Syncsort and AtScale. With the EDW Optimization Solution, Public Sector users can extend the value of existing EDW investments and overcome the challenges, risks and costs of introducing new solutions into legacy infrastructure.

The solution can be implemented rapidly, makes fast BI on Hadoop a reality and reduces cost by moving non-critical workloads off the EDW and leveraging the cost-effective archiving in Hadoop.


University Health Care

Difficult challenges and choices face today’s healthcare industry. Researchers, clinicians and administrators have to make important decisions – often without sufficient data. Hortonworks Connected Data Platforms (powered by Apache Hadoop and Apache NiFi) make healthcare data available and actionable.

By partnering with Hortonworks, researchers can access genomic data for new cancer treatments, physicians can monitor patient vitals and sensor data in real time, hospitals can reduce re-admittance rates, and universities can store medical research data forever.


Prevenire le truffe e gli sprechi

Explosive data growth has increased the complexity of government agencies attempting to detect fraud waste in abuse, while also efficiently accomplishing their missions. One federal agency with a large pool of beneficiaries turned to Apache Hadoop and the Hortonworks Data Platform to discover fraudulent claims for benefits. The implementation reduced ETL processing from 9 hours to 1 hour, which allowed them to create new data models around fraud, waste and abuse. After significantly increasing the efficiency of their ETL process, the agency used the surplus processing time and resources to triple the data included in its daily processing. Because Hadoop is a “schema on read” system, rather than the traditional “schema on load” platform, the agency now plans to search additional legacy systems and include more upstream contextual data (such as social media and online content) in its analysis. All of this will make it easier to identify and stop fraud, waste, and abuse.

Smart Cities

With the continuing trend of the connected world and requisite big data needs comes big obstacles and even bigger opportunities. City, Local, and State Governments are challenged with establishing and managing an infrastructure built for connected technologies in an ‘Internet of Anything’ environment. These connected devices (sensors, smart meters, medical devices, road telemetry devices, fleet management sensors, emergency response devices, etc) will generate vast amounts of data that need to be processed in real-time to provide valuable insights and actionable intelligence. Additionally, storage and access of this data can provide historical insights and predictive analytics.

With Hortonworks Connected Data Platforms, Public Sector organizations can build a modern Data Analytics platform that is enterprise grade, highly scalable, and multi-tenant. Using Hortonworks Data Flow (HDF), the data from the various sensors and devices can be collected, aggregated, correlated, and processed in real-time and leveraged to perform a desired task. This data is then stored in the Hortonworks Data Platform (HDP) where large volumes of data at petabyte scale can be stored and processed on commodity hardware at much lower cost than traditional systems. Additional nodes can be added with ease to a cluster as the data demand increases.

Single View of a Resource

Whether a Soldier, a Student, or a Military Aircraft, Public Sector customers are overwhelmed with data from various sources and different formats that are often stored in siloed architectures and requiring unique applications and/or complex translations to simply view the data. Correlation of the data in these environments is both complicated and costly. In many instances these systems have no way of communicating.

With Hortonworks Connected Data Platform, Public Sector customers can build an Analytics Data Platform that enables a Single View capability of both Data in Motion and Data at Rest. Real-time data from sensors and other sources (i.e., social media) is collected, logically correlated, and linked while in flight using Hortonworks Data Flow (HDF). Once collected and correlated, it is stored in Hortonworks Data Platform (HDP) where the unmodified data is retained indefinitely and used for future historical analysis and advanced analytics.

Single view of the resource is implemented and enabled through entity resolution. In this process, disparate pieces of data related to the resource are linked using attributes that are unique to respective resource, such as a serial number, tail number, student ID, or social security number.

Customer Case Studies

Arizona State University
cliente
Arizona State University

L'Arizona State University (ASU) è la maggiore università pubblica come numero di iscritti negli Stati Uniti, con oltre 83.000 studenti e 3.300 docenti. Lo statuto dell'ASU, approvato nel 2014 dal consiglio d'amministrazione dell'università, si basa sul modello della "Nuova università americana" creato dal presidente dell'ASU Michael M. Crow. Definisce l'ASU come "una...

UNOS
cliente
UNOS

The United Network for Organ Sharing (UNOS) is the private, non-profit organization managing the United States organ transplant system. UNOS brings together hundreds of hospitals, transplant centers, organ procurement professionals, and thousands of volunteers. The mission of UNOS is to advance organ availability and transplantation by uniting and supporting communities for the benefit of patients…

The MITRE Corporation Transforms Aviation
cliente
The MITRE Corporation Transforms Aviation

MITRE Corporation® è una società non-profit che gestisce vari centri di ricerca e sviluppo finanziati dallo Stato (Federally Funded Research and Development Centres, FFRDC) Il Center for Advanced Aviation System Development (CAASD) rappresenta uno di essi ed opera per l'interesse pubblico, promuovendo la sicurezza, l'efficacia e l'efficienza del settore aerospaziale negli Stati Uniti e nel mondo. Trasformiamo il...

Metro Transit of St. Louis
cliente
Metro Transit of St. Louis

Metro Transit of St. Louis (MTL) gestisce il sistema di traposto pubblico della regione metropolitana di Saint Louis. La missione dell'azienda è “Soddisfare le esigenze di trasporto della regione, mettendo a disposizione un servizio sicuro, affidabile, accessibile, incentrato sul cliente nel rispetto delle normative fiscali”. Fornire un sistema di trasporti pubblico sicuro e affidabile Per garantire la sicurezza dei passeggeri e l'...

UC Irvine Health
cliente
UC Irvine Health

Il centro Irvine Health della UC si è affidato a Hadoop e Hortonworks Data Platform per migliorare le operazioni cliniche all'interno dell'ospedale e la ricerca scientifica presso la scuola di medicina. Il suo team sta creando una prassi medica quantificata che riduce le riammissioni, velocizza i nuovi progetti di ricerca e tiene traccia delle statistiche sui parametri vitali dei pazienti minuto per minuto. Una piattaforma Hadoop per due diverse…