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Which clippings match 'Data Gathering Instruments' keyword pg.1 of 2
26 MAY 2014

Hootsuite: Social Media Management Dashboard

"Manage social networks, schedule messages, engage your audiences, and measure ROI right from the dashboard."

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TAGS

2008 • analytic reporting • analyticsbrand management • business strategy • campaign momentum • content management dashboard • dashboarddata gathering instrumentsFacebookFoursquareGoogle Plus • Hootsuite Media Inc • Instagram • integration platform • integration softwareLinkedIn • MailChimp • managing brands • marketing processes • measure performancemeasurement of impactmetrics tools • Mixi • MySpaceonline marketingpromotion and disseminationReddit • regulatory compliance • return on investment (ROI) • ROI • Ryan Holmes • social implementation • social media • social media activity • social media analytics • social media analytics reports • social media channels • social media dashboard • social media efforts • social media management • social media management system • social media marketing • social media monitoring tool • social media platform • social media presence • social network integrations • social networks • social reach • software integration • software utility • Storify • TrendSpottr • TumblrTwitter • utility software • VimeoWordPressYouTube

CONTRIBUTOR

Simon Perkins
17 MARCH 2014

The Pandora Music Genome Project

"We believe that each individual has a unique relationship with music–no one else has tastes exactly like yours. So delivering a great radio experience to each and every listener requires an incredibly broad and deep understanding of music. That's why Pandora is based on the Music Genome Project, the most sophisticated taxonomy of musical information ever collected. It represents over ten years of analysis by our trained team of musicologists, and spans everything from this past Tuesday's new releases all the way back to the Renaissance and Classical music.

Each song in the Music Genome Project is analyzed using up to 450 distinct musical characteristics by a trained music analyst. These attributes capture not only the musical identity of a song, but also the many significant qualities that are relevant to understanding the musical preferences of listeners. The typical music analyst working on the Music Genome Project has a four–year degree in music theory, composition or performance, has passed through a selective screening process and has completed intensive training in the Music Genome's rigorous and precise methodology. To qualify for the work, analysts must have a firm grounding in music theory, including familiarity with a wide range of styles and sounds.

The Music Genome Project's database is built using a methodology that includes the use of precisely defined terminology, a consistent frame of reference, redundant analysis, and ongoing quality control to ensure that data integrity remains reliably high. Pandora does not use machine–listening or other forms of automated data extraction.

The Music Genome Project is updated on a continual basis with the latest releases, emerging artists, and an ever–deepening collection of catalogue titles.

By utilizing the wealth of musicological information stored in the Music Genome Project, Pandora recognizes and responds to each individual's tastes. The result is a much more personalized radio experience – stations that play music you'll love – and nothing else."

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TAGS

analysing dataappeal • attributes • automated data extraction • characteristicsdata analysisdata gathering instruments • data integrity • databasedescriptive labels • ersonalised radio experience • frame of reference • individual preference • individual taste • internet radio • listener preference • machine-listening • metricsmusic • music analyst • Music Genome Project • music taste • music theory • musical characteristicsmusical identitymusical information • musical preferences • musicological information • musicologist • Pandora Radiopersonal taste • precisely terminology • qualities • quality control • radio • radio experience • redundant analysis • relatednesssegmentationsongtaste (sociology)taxonomy • unique taste • user behavioursuser segmentation

CONTRIBUTOR

Simon Perkins
07 OCTOBER 2013

Data Journalism Handbook 1.0

"This website is dedicated to providing anyone interested in getting started with data driven journalism with a collection of learning resources, including relevant events, tools, tutorials, interviews and case studies. The data journalism community and mailing list are dedicated to strengthening the community of journalists, designers, data providers and others, and encouraging collaboration and exchange of expertise."

(European Journalism Centre)

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2013analysing dataanalysis data • analysis model • analysis of quantitative informationdatadata analysisdata collection and analysis • data driven journalism • data gathering instrumentsdata infrastructuredata into informationdata journalism • Data Journalism Handbook • data miningdata-drivendigital humanitiesdigital journalism • Dutch Ministry of Education Culture and Science • European Journalism Centre (EJC) • handbookhistorical datajournalismOpen Knowledge Foundationquantitative dataquantitative informationstatisticstrend analysis

CONTRIBUTOR

Simon Perkins
22 AUGUST 2013

Re-imagining segmentation in Google Analytics

"One of the most popular and powerful features in Google Analytics is Advanced Segmentation. It lets you isolate and analyze subsets of your traffic. You can select from predefined segments such as 'Paid Traffic' and 'Visits with Conversions' or create your own segments with a flexible, easy–to–use segment builder. Then, you can apply one or more of these segments to current or historical data, and even compare segment performance side by side in reports.

We've recently re–imagined segmentation to make it even easier for new Analytics users, yet also more powerful for seasoned analysts and marketers."

(Google Inc)

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TAGS

2013analysing dataanalysis dataanalyticsanimated explainer video • cohort analysis • cohort segmentation • cohort studies • compare segment performance • customersdata gathering instrumentsdemographics • Google Analytics • Google Inchistorical datamarket segmentationmetricsmetrics toolsreports • segment builder • segmentation • site behaviours • sub-segment • subset • traffic analysistransaction datatrend analysisuser behavioursuser demographicsuser groupsuser segmentationwebsite traffic statistics

CONTRIBUTOR

Simon Perkins
20 AUGUST 2013

An improved method of studying the user/search process in user-system interactions

"A major 'user/search process' limitation identified by Kinsella and Bryant (1987) is the inability to isolate and characterise individual users of on–line systems in order to describe the pattern of their use. Users' perceptions of their searches are not recorded, transaction logs cannot measure the information needs that users' are unable to express in their search statements (input), and they cannot reflect users' satisfaction with search results (output). As Kurth states, '[the fact] that transaction logs are unable to address such cognitive aspects of on–line searching behaviour is a true limit of the methodology' (Kurth, 1993: 100). Supplementary research, such as questionnaires, protocol analysis and interviews, must be undertaken in order to build a fuller picture of searching behaviour, success and satisfaction."

(Griffiths, J. R., R. J. Hartley, et al., 2002)

Jillian R. Griffiths, R.J. Hartley and Jonathan P. Willson. (2002). "An improved method of studying user–system interaction by combining transaction log analysis and protocol analysis." Information Research 7(4).

TAGS

2002 • characterising users • cognitive actionsdata collectiondata gathering instruments • electronic information resources • end user studiesend-users • information needs • Information Research (journal) • information system evaluation • information-seeking • information-seeking behaviourinterview (research method) • Janet Kinsella • Jillian Griffiths • Jonathan Willson • limitations of quantitative methodologies • Martin Kurth • online systems • open access journalpatterns of usepeer-reviewed journal • Philip Bryant • protocol analysisqualitative dataquestionnaire • Richard Hartley • search and retrieval • search behaviour • search logging • search process • search results • search results satisfaction • search statements • searchersearching and browsing • searching behaviour • searching for information • success and satisfaction • supplementary research • system requirements • talk-aloud comments • think aloud (research method)transaction log analysis • transaction logging • transaction logging datatransaction logsusability testing • user search process • user-based evaluation • user-system interaction

CONTRIBUTOR

Simon Perkins
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