{"id":1145,"date":"2017-03-04T00:34:11","date_gmt":"2017-03-04T00:34:11","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=1145"},"modified":"2017-03-04T00:48:59","modified_gmt":"2017-03-04T00:48:59","slug":"in-god-we-trust-all-others-must-bring-data","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/03\/04\/in-god-we-trust-all-others-must-bring-data\/","title":{"rendered":"In God we trust, all others must bring data"},"content":{"rendered":"

We all are facing different issues while completing our projects. I experienced myself losing an argument with professor because either the veracity of the data, where it came from, or how it was collected was called into question. Hence my data or my\u00a0conclusions were not trusted. I learned that if I\u00a0ever present arguments, back it up with data not story.<\/p>\n

Hence after professor suggestions I made\u00a0sure to have\u00a0done my homework. That way, I can address any questions about data with confidence. Trust on correct data to consistently deliver meaningful, relevant results based on evidence and fact. Here are the tips in how to present data in era of alternate facts:<\/p>\n

    \n
  1. Be impartial:<\/strong>\u00a0Try not to have preconceived notions about what the data should show or how it should be interpreted in advance.\u00a0If you go into an analysis without an agenda and present your results as objectively as possible, it won\u2019t seem like your analysis takes a side or pushes a particular point of view.<\/li>\n
  2. Provide Context:\u00a0<\/strong>No analysis is done in a vacuum.\u00a0There’s always a reason for conducting it, as well as a plethora of factors that go into what data is used, where the data comes from and the methodology you choose to approach it.<\/li>\n
  3. Obsess over accuracy: <\/strong>Put yourself in the shoes of your audience and try to question your numbers the way they would question them.\u00a0Does everything add up?\u00a0Does everything make sense?\u00a0Yes?\u00a0Good.\u00a0Now bounce your analysis off someone else for one final review before you take it to present.<\/li>\n
  4. Admit your mistakes<\/strong>:Honesty is always the best policy, with no exceptions. If being accurate helps build trust, admitting it when you’re not reaps similar rewards. You will get far more respect for owning up when you are wrong than if you cover it up and are caught.<\/li>\n
  5. Be Thoughtful About How, What and When To Communicate :\u00a0<\/strong>How<\/em>, what<\/em> and when<\/em> you communicate can have a major impact on how trustworthy you are perceived to be, too. \u00a0On what<\/em> you communicate, it is important to know your audience and explain yourself clearly in terms they will understand.\u00a0Talking too much or being long-winded can turn people off and be a sign that you don’t listen.<\/li>\n<\/ol>\n

    Source:\u00a0https:\/\/www.linkedin.com\/pulse\/how-present-data-executives-era-alternate-facts-hint-aaron-maass?trk=v-feed&lipi=urn%3Ali%3Apage%3Ad_flagship3_search_srp_content%3BK45zLsFN7bdjFYCdvXf6pw%3D%3D<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

    We all are facing different issues while completing our projects. I experienced myself losing an argument with professor because either the veracity of the data, where it came from, or how it was collected was called into question. Hence my data or my\u00a0conclusions were not trusted. I learned that if I\u00a0ever present arguments, back it … Continue reading In God we trust, all others must bring data<\/span><\/a><\/p>\n","protected":false},"author":1883,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-1145","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":4,"qubely_featured_image_url":null,"qubely_author":{"display_name":"roopadaga","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/roopadaga\/"},"qubely_comment":4,"qubely_category":"Uncategorized<\/a>","qubely_excerpt":"We all are facing different issues while completing our projects. I experienced myself losing an argument with professor because either the veracity of the data, where it came from, or how it was collected was called into question. Hence my data or my\u00a0conclusions were not trusted. I learned that if I\u00a0ever present arguments, back it…","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1883"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=1145"}],"version-history":[{"count":3,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1145\/revisions"}],"predecessor-version":[{"id":1148,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1145\/revisions\/1148"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=1145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=1145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=1145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}