{
    "version" : "https://jsonfeed.org/version/1",
    "content" : "news",
    "type" : "single",
    "title" : "Analyzing Search Data in Real-Time to Drive Decisions |Digital.gov",
    "description": "Analyzing Search Data in Real-Time to Drive Decisions",
    "home_page_url" : "/preview/gsa/digitalgov.gov/bc-archive-content-3/","feed_url" : "/preview/gsa/digitalgov.gov/bc-archive-content-3/2014/05/07/analyzing-search-data-in-real-time-to-drive-decisions/index.json","item" : [
    {"title" :"Analyzing Search Data in Real-Time to Drive Decisions","summary" : "DigitalGov Search recently rolled out a new open source technology stack, which gives the team access to real-time analytics and dashboards to monitor search trends.","date" : "2014-05-07T13:00:27-04:00","date_modified" : "2025-01-27T19:42:55-05:00","authors" : {"andreanocesigritz" : "Andrea Sigritz"},"topics" : {
        
            "analytics" : "Analytics",
            "content-strategy" : "Content strategy",
            "open-source" : "Open source",
            "search" : "Search"
            },"branch" : "bc-archive-content-3",
      "filename" :"2014-05-07-analyzing-search-data-in-real-time-to-drive-decisions.md",
      
      "filepath" :"news/2014/05/2014-05-07-analyzing-search-data-in-real-time-to-drive-decisions.md",
      "filepathURL" :"https://github.com/GSA/digitalgov.gov/blob/bc-archive-content-3/content/news/2014/05/2014-05-07-analyzing-search-data-in-real-time-to-drive-decisions.md",
      "editpathURL" :"https://github.com/GSA/digitalgov.gov/edit/bc-archive-content-3/content/news/2014/05/2014-05-07-analyzing-search-data-in-real-time-to-drive-decisions.md","slug" : "analyzing-search-data-in-real-time-to-drive-decisions","url" : "/preview/gsa/digitalgov.gov/bc-archive-content-3/2014/05/07/analyzing-search-data-in-real-time-to-drive-decisions/","content" :"\u003cp\u003e\u003ca href=\"https://search.gov\"\u003eDigitalGov Search\u003c/a\u003e recently rolled out a new open source technology stack, which gives the team access to real-time analytics and dashboards to monitor search trends.\u003c/p\u003e\n\u003cp\u003eThe \u003ca href=\"http://www.elasticsearch.org/overview/\"\u003eELK stack\u003c/a\u003e consists of Elasticsearch, a real-time search and analytics engine; Logstash, a log management tool; and Kibana, a data visualization engine for creating dashboards.\u003c/p\u003e\n\u003cdiv class=\"image\"\u003e\n  \u003cimg\n    src=\"https://s3.amazonaws.com/digitalgov/_legacy-img/2014/05/600-x-333-ELK-dashboard-deck.jpg\"\n    alt=\"ElasticSearch Logstash Kibana ELK Dashboard for DigitalGov Search\"/\u003e\u003c/div\u003e\n\n\n\u003cp\u003eThe dashboard-building capabilities surface trends not seen otherwise when buried in the data, Ammie Farraj Feijoo, manager of DigitalGov Search said in a \u003ca href=\"https://web.archive.org/web/20140503004552/http://gcn.com/Articles/2014/04/29/DigitalGov-Search.aspx\"\u003erecent article\u003c/a\u003e in \u003cem\u003eGCN\u003c/em\u003e.\u003c/p\u003e\n\u003cp\u003eThe team is now able to make quick sense of massive amounts of data to make decisions about which features to develop and how they’re developed. They’re also using the dashboards to notify agency customers when a query is trending and, based on that, agencies can promote or create new content to answer searchers’ questions.\u003c/p\u003e\n\u003cp\u003eWhat’s next? The team is working on putting these dashboards in the hands of customers so that they, too, can quickly make sense of their agency’s search data and make decisions to improve searchers’ experience on their sites.\u003c/p\u003e\n\u003cp\u003eNot a DigitalGov Search customer? \u003ca href=\"/preview/gsa/digitalgov.gov/bc-archive-content-3/services/search/\"\u003eSign up\u003c/a\u003e and join the 1,500 government websites using the service to power their search box and improve customers’ search experience.\u003c/p\u003e\n"}
  ]
}