New research from Unisys Corporation (NYSE: UIS) reveals that airports expect to fully embrace more advanced analytics solutions in the coming years, with potential applications for use across several key areas within the airport ecosystem. Unisys conducted the survey of 29 airport executives and industry professionals at the Airports Council International – North America Annual Conference and General Assembly held in Montreal, September 25-28, 2016.
Unisys Survey Finds Airports’ Investment in Analytics Technology Set to Soar as Digital Transformation Needs Take Flight
In this special technology white paper, Architecting for Access: Simplifying Analytics on Big Data Infrastructure, you’ll learn how designing systems for data analytics is a bit of a trapeze act—requiring you to balance front-end convenience and access without compromising on back-end precision and speed.
In this contributed article, tech writer Linda Gimmeson tackles the important topic of big data marketing and how it comes down to providing a more personalized experience for customers.
Qlik®, a leader in visual analytics, announced the launch of Qlik Playground™. Qlik Playground is a web-based environment providing an easy way for developers to learn about, use, and experiment with Qlik’s powerful platform.
LogtrustTM, the Real-time Big Data-in-Motion firm for Fast Data, Big Data analytics, has solved the “real-time” challenge facing most Big Data projects, by offering the ability to ingest, store and analyze massive, varied and dynamic data sets at high speed.
Tableau Software (NYSE: DATA) announced that it has delivered new APIs that make it possible for developers to build new experiences for its customers and extend the possibilities of Tableau.
In this contributed article, tech writer Linda Gimmeson take a close look at the potential growth of big data analytics and the top 4 industries that may benefit from it.
Wal-Mart handles more than a million customer transactions each hour and imports those into databases estimated to contain more than 2.5 petabytes of data.
Radio frequency identification (RFID) systems used by retailers and others can generate 100 to 1,000 times the data of conventional bar code systems.
Facebook handles more than 250 million photo uploads and the interactions of 800 million active users with more than 900 million objects
(pages, groups, etc.) – each day.
More than 5 billion people are calling, texting, tweeting and browsing on mobile phones worldwide.
Organizations are inundated with data – terabytes and petabytes of it . To put it in context, 1 terabyte contains 2,000 hours of CD-quality music and 10 terabytes could store the entire US Library of Congress print collection . Exabytes, zettabytes and yottabytes definitely are on the horizon .
Data is pouring in from every conceivable direction: from operational and transactional systems, from scanning and facilities management systems, from inbound and outbound customer contact points, from mobile media and the Web .
According to IDC, “In 2011, the amount of information created and replicated will surpass 1 .8 zettabytes (1 .8 trillion gigabytes), growing by a factor of nine in just five years . That’s nearly as many bits of information in the digital universe as stars in the physical universe .” (Source: IDC Digital Universe Study, sponsored by EMC, June 2011 .)
The explosion of data isn’t new . It continues a trend that started in the 1970s . What has changed is the velocity of growth, the diversity of the data and the imperative to make better use of information to transform the business .
The hopeful vision of big data is that organizations will be able to harvest and harness every byte of relevant data and use it to make the best decisions . Big data technologies not only support the ability to collect large amounts, but more importantly, the ability to understand and take advantage of its full value .
Analytics-generated insights are increasingly driving successful decision-making for communication service providers (CSPs). From network enablers to business support systems, there are opportunities to utilize insights gathered from careful analysis of network data.
Big data is at the core of this opportunity. But the traditional technology view of big data is not enough. Rather than focusing on big data technology, CSPs should start from the business value they want to create and apply extensive telecom competence to understand how the relevant insights can be extracted from raw data before applying big data techniques as needed.
When used effectively, data analytics can help to save lives, improve efficiencies, reduce costs, and help government deliver better citizen services. This special GovLoop report explores how data analytics is changing Government.