{"id":130,"date":"2025-01-14T16:18:08","date_gmt":"2025-01-14T16:18:08","guid":{"rendered":"https:\/\/live-biw-main.pantheonsite.io\/?page_id=130"},"modified":"2025-04-02T07:48:26","modified_gmt":"2025-04-01T23:48:26","slug":"research-and-analytics","status":"publish","type":"page","link":"https:\/\/www.biworldwide.com\/en-zh\/research-and-analytics\/","title":{"rendered":"Research and Analytics"},"content":{"rendered":"
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Home<\/a><\/span><\/span><\/div>\t\t\t<\/div>\n\t\t\n\t\t\t\t\t
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<\/div>\n\t\t\t\t\t\t\t\t\"A\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\tResearch and Data Analytics\t\t\t<\/h1>\n\t\t\t\t\t\t\t\t\t\t
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We help drive the results you need through data and analytics that address key business and program issues throughout the program lifecycle.<\/p>\n\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t<\/div>\n<\/div>\n\n\n\n

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Leverage data and analytics to optimize engagement.<\/strong><\/p>\n\n\n\n

Whether assessing problem spaces, pre-planning for program launch, or conducting postmortem analysis on a program in order to more-effectively spin up the next one, we help our partners collect and wield data to make effective decisions at every phase.<\/p>\n\n\n\n

Need states include:<\/strong><\/p>\n\n\n\n

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  • Business case assessment<\/strong> – uncovering the hidden impact of engagement<\/li>\n\n\n\n
  • Program modeling<\/strong> – understanding the potential impact of each engagement solution<\/li>\n\n\n\n
  • Program improvement analysis<\/strong> – identifying what’s working, what’s not, and opportunities for program improvement<\/li>\n\n\n\n
  • Attrition analysis<\/strong> – understanding the potential cost savings of a recognition program<\/li>\n\n\n\n
  • Return on purpose<\/strong> – providing holistic assessment of events, training, and communications to drive engagement<\/li>\n\n\n\n
  • ChannelWISE\u2122<\/strong> – segmentation analysis to identify your best, worst, and highest potential customers<\/li>\n\n\n\n
  • QuitRisk<\/strong> – predicting employees who are most likely to leave<\/li>\n<\/ul>\n<\/div>\n\n\n\n
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    Addressing key issues with data.<\/h2>\n\n\n\n

    <\/p>\n<\/div>\n\n\n\n

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    \n\t\t\t\t\t\t\tDesign\t\t\t\t\t<\/h3>\n\t\t
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    • Program structure<\/li>\n\n\n\n
    • Program modeling<\/li>\n<\/ul>\n\n\n\n

      Pre-program analysis:<\/strong><\/p>\n\n\n\n

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      • What is the value of changing behaviors?<\/li>\n\n\n\n
      • Should segments of the target audience be motivated differently?<\/li>\n\n\n\n
      • How much will we spend on the proposed initiative?<\/li>\n<\/ul>\n\n<\/div>\n\t<\/div>\n\t<\/div>\n\n
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        \n\t\t\t\t\t\t\tAssess\t\t\t\t\t<\/h3>\n\t\t
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        • Program engagement<\/li>\n\n\n\n
        • Program performance<\/li>\n\n\n\n
        • Program optimization<\/li>\n<\/ul>\n\n\n\n

          Ongoing program analysis:<\/strong><\/p>\n\n\n\n

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          • How does performance vary across segments?<\/li>\n\n\n\n
          • To what extent is the engagement solution driving targeted results?<\/li>\n<\/ul>\n\n<\/div>\n\t<\/div>\n\t<\/div>\n\n
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            \n\t\t\t\t\t\t\tValue\t\t\t\t\t<\/h3>\n\t\t
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            • Behavior change<\/li>\n\n\n\n
            • Business impact<\/li>\n<\/ul>\n\n\n\n

              Post-program analysis:<\/strong><\/p>\n\n\n\n

                \n
              • What was the value of the program?<\/li>\n\n\n\n
              • How effective was the rule structure, and what are areas of improvement?<\/li>\n\n\n\n
              • What behaviors\/activities align with higher performance?<\/li>\n<\/ul>\n\n<\/div>\n\t<\/div>\n\t<\/div><\/div>\n<\/div>\n<\/div>\n\n\n\n
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                The metrics tell the story<\/h2>\n<\/div>\n\n\n\n
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                100<\/h3>\n\n\n\n

                Fortune 1000 companies using our decision sciences<\/p>\n<\/div>\n\n\n\n

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                $900M<\/h3>\n\n\n\n

                improvement in business results last year, across all clients<\/p>\n<\/div>\n\n\n\n

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                39%<\/h3>\n\n\n\n

                average reduction in incentive program costs<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

                Leverage data and analytics to optimize engagement. Whether assessing problem spaces, pre-planning for program launch, or conducting postmortem analysis on a program in order to more-effectively spin up the next one, we help our partners collect and wield data to make effective decisions at every phase. Need states include: Addressing key issues with data. The […]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"featured_image_focal_point":{"x":0.5,"y":0.5},"footnotes":""},"wf_page_folders":[37],"class_list":["post-130","page","type-page","status-publish","hentry"],"yoast_head":"\nResearch and Analytics - China (English)<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.biworldwide.com\/en-zh\/research-and-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Research and Analytics - China (English)\" \/>\n<meta property=\"og:description\" content=\"Leverage data and analytics to optimize engagement. Whether assessing problem spaces, pre-planning for program launch, or conducting postmortem analysis on a program in order to more-effectively spin up the next one, we help our partners collect and wield data to make effective decisions at every phase. Need states include: Addressing key issues with data. 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