{"id":3308,"date":"2022-03-22T08:30:00","date_gmt":"2022-03-22T14:30:00","guid":{"rendered":"https:\/\/idsinc.com\/?p=3308"},"modified":"2026-03-09T15:13:48","modified_gmt":"2026-03-09T21:13:48","slug":"principe-fc7","status":"publish","type":"post","link":"https:\/\/idsinc.com\/fr\/fc-principle7\/","title":{"rendered":"Fact Crashing\u2122 : Principe 7"},"content":{"rendered":"\n
\n <\/div>\n\n\n\n

La compr\u00e9hension des donn\u00e9es est requise pour une analyse correcte<\/h1>\n\n\n\n

Ceci est le neuvi\u00e8me volet d'une s\u00e9rie de blogs sur Fact Crashing\u2122<\/a>, l'acc\u00e9l\u00e9ration de la prise en compte des donn\u00e9es ACTION (Ambient, Contextual, Transactional, IoT, Operational, Navigational) au profit de la r\u00e9solution des litiges.<\/p>\n\n\n\n

Il y a 9 principes de Crash de faits<\/a>\u2122. Les blogs pr\u00e9c\u00e9dents couvraient\u00a0: <\/p>\n\n\n\n

Principe 1 : Les donn\u00e9es sont des preuves et sont d\u00e9tectables<\/strong><\/a><\/p>\n\n\n\n

Principe 2 : Les donn\u00e9es doivent \u00eatre trait\u00e9es t\u00f4t<\/strong><\/a><\/p>\n\n\n\n

Principe 2 : Analyse approfondie<\/strong><\/a><\/p>\n\n\n\n

Principe\u00a03\u00a0: D\u00e9finir les probl\u00e8mes de cas comme des requ\u00eates centr\u00e9es sur les donn\u00e9es<\/strong><\/a><\/p>\n\n\n\n

Principe 4 : Identifier, qualifier et hi\u00e9rarchiser les sources de donn\u00e9es<\/strong><\/a><\/p>\n\n\n\n

Principe 5 : Les donn\u00e9es sont soumises aux obligations de conservation et de protection<\/strong><\/a><\/p>\n\n\n\n

Principe 6 : La fiabilit\u00e9 des donn\u00e9es commence par une collecte appropri\u00e9e<\/strong><\/a><\/p>\n\n\n\n

Maintenant, regardons le septi\u00e8me principe.<\/p>\n\n\n\n

\n\n\n\n

Pour vraiment comprendre les donn\u00e9es, vous devez les consid\u00e9rer comme un tabouret \u00e0 trois pieds : administrateur syst\u00e8me (par exemple, informatique) ; Propri\u00e9taire de l'entreprise (par exemple, les ventes) et utilisateur final (par exemple, le vendeur).  Avoir ces trois perspectives aidera \u00e0 d\u00e9couvrir certaines nuances dans la r\u00e9ponse \u00e0 des questions telles que\u00a0:<\/em><\/strong><\/p>\n\n\n\n

  • Les utilisateurs utilisent-ils le syst\u00e8me comme pr\u00e9vu\u00a0?<\/em><\/li>
  • Le service informatique est-il conscient de la mani\u00e8re dont l'entreprise utilise le syst\u00e8me (r\u00e9alit\u00e9 versus conception)\u00a0?<\/em><\/li>
  • Quelles modifications ont \u00e9t\u00e9 apport\u00e9es par n\u00e9cessit\u00e9 commerciale\u00a0?<\/em><\/li><\/ul>\n\n\n\n

    Ce sont toutes des situations simples et pourtant trop courantes que nous avons vues se produire sans la faute de personne, juste une r\u00e9alit\u00e9 des affaires. Par exemple, les utilisateurs d\u00e9cident eux-m\u00eames d'utiliser un champ ou un flux de travail d'une mani\u00e8re diff\u00e9rente de celle pr\u00e9vue parce que "c'\u00e9tait simplement plus facile". Il est important que ce processus se concentre sur la compr\u00e9hension des r\u00e9alit\u00e9s des donn\u00e9es, et non sur le jugement de l'entreprise quant \u00e0 la "Pourquoi."<\/em> <\/p>\n\n\n\n

    Jambes manquantes<\/em><\/strong><\/h3>\n\n\n\n

    Il n'est pas rare d'\u00eatre dans une situation o\u00f9 il vous manque des jambes (par exemple, la personne des RH qui conna\u00eet cet ancien syst\u00e8me ne fait plus partie de l'entreprise).<\/em>  Cela ne signifie pas que vous ne pouvez pas continuer; cela signifie simplement que vous devez le faire en comprenant que vous \u00eates en \u00e9quilibre sur deux jambes. <\/p>\n\n\n\n

    En passant, un client m'a dit r\u00e9cemment, \u00ab Je n'ai pas de jambes. Zut, je n'ai pas de tabouret.<\/em>  Bien que cela ne soit pas courant, cela arrive de temps en temps. Ici, vous devrez peut-\u00eatre poser plus de questions sur les donn\u00e9es plut\u00f4t que sur les personnes.  (Astuce : il est toujours utile de poser les questions ci-dessous en rapport avec les donn\u00e9es, ce qui aidera \u00e0 son tour \u00e0 v\u00e9rifier ce que les gens disent).<\/em><\/p>\n\n\n\n

    • Les donn\u00e9es de ce champ correspondent-elles \u00e0 ce que j'attendais\u00a0?<\/em><\/li>
    • La gamme\/vari\u00e9t\u00e9 de donn\u00e9es correspond-elle \u00e0 ce \u00e0 quoi je m'attendais\u00a0?<\/em><\/li>
    • Y a-t-il une quantit\u00e9 inhabituelle ou inattendue de valeurs \u00ab\u00a0NULL\u00a0\u00bb\u00a0?<\/em><\/li><\/ul>\n\n\n\n

      Profiler les donn\u00e9es<\/em><\/strong><\/h3>\n\n\n\n

      Comme indiqu\u00e9 dans le principe 6, il existe des moyens efficaces d'\u00e9tablir rapidement des KPI de base pour la validation. Il en va de m\u00eame pour le profilage d'une source de donn\u00e9es pour une meilleure compr\u00e9hension. Certains points de donn\u00e9es fr\u00e9quents qui aident \u00e0 \u00e9tablir ce profil incluent\u00a0:<\/p>\n\n\n\n

      • Nombre d'enregistrements<\/em><\/li>
      • Plage de dates (et \u00e9ventuels \u00e9carts)<\/em><\/li>
      • Plage de valeurs<\/em><\/li>
      • Valeur moyenne (et valeurs aberrantes)<\/em><\/li>
      • Valeurs communes)<\/em><\/li><\/ul>\n\n\n\n

        Cela fournit les connaissances n\u00e9cessaires pour analyser les donn\u00e9es, et fournit \u00e9galement une couche suppl\u00e9mentaire de validation via ce \u00abcontr\u00f4le de coh\u00e9rence\u00bb consistant \u00e0 examiner les donn\u00e9es \u00e0 partir de quelques perspectives standard.<\/p>\n\n\n\n

        Apprentissage actif continu<\/em><\/strong><\/h3>\n\n\n\n

        "Apprenez continuellement - il y a toujours "une chose de plus" \u00e0 apprendre\u00a0! "~ Steve Jobs<\/p>\n\n\n\n

        Chaque interaction que vous avez avec les donn\u00e9es peut vous apprendre quelque chose (confirmez ce que vous attendiez ou donnez des indices de l'inattendu). <\/em> Je ne peux pas vous dire combien de fois nous entendons le "Oh oui, j'ai oubli\u00e9 de te dire..."<\/em> parce que lorsque vous regardez des ann\u00e9es en arri\u00e8re dans un ensemble de donn\u00e9es, ces nuances ne sont pas toujours en t\u00eate. Si ces nuances ne sont pas prises en compte dans le cadre de l'analyse, vos r\u00e9sultats peuvent \u00eatre fauss\u00e9s. <\/p>\n\n\n\n

        Cherchez \u00e0 en savoir plus sur ces types de sc\u00e9narios dans votre ensemble de donn\u00e9es.<\/em><\/strong><\/h3>\n\n\n\n

        Il y a eu un \u00e9chec de r\u00e9tention \u00e0 un moment donn\u00e9 car le transfert de donn\u00e9es vers le serveur d'archives a \u00e9chou\u00e9 pendant quelques semaines avant que nous ne l'attrapions.<\/p>\n\n\n\n

        Nous avons cess\u00e9 d'utiliser le champ A pour X et avons commenc\u00e9 \u00e0 utiliser les champs D et E l'ann\u00e9e derni\u00e8re.<\/p>\n\n\n\n

        Nous utilisons g\u00e9n\u00e9ralement le champ M pour d\u00e9clarer et ex\u00e9cuter la paie, mais les donn\u00e9es brutes se trouvent dans les champs Q, R, S et T.<\/p>\n\n\n\n

        Il y a tellement de nuances qui arrivent aux donn\u00e9es dans le cours normal des affaires qu'il est raisonnable de supposer qu'il y en aura dans vos donn\u00e9es. Cherchez \u00e0 l'apprendre et \u00e0 le comprendre tout au long de votre entreprise.<\/em><\/strong><\/p>\n\n\n\n

        \n\n\n\n

        iDS fournit des solutions de donn\u00e9es consultatives aux entreprises et aux cabinets d'avocats du monde entier, leur donnant un avantage d\u00e9cisif - \u00e0 la fois dans et hors de la salle d'audience. Nos experts en la mati\u00e8re et nos strat\u00e8ges de donn\u00e9es se sp\u00e9cialisent dans la recherche de solutions aux probl\u00e8mes de donn\u00e9es complexes, garantissant que les donn\u00e9es peuvent \u00eatre exploit\u00e9es comme un atout et non comme un handicap.<\/em><\/strong><\/p>","protected":false},"excerpt":{"rendered":"

        Data Understanding is Required for Proper Analysis This is the ninth installment in a blog series on Fact Crashing\u2122, the acceleration of the consideration of ACTION data (Ambient, Contextual, Transactional, IoT, Operational, Navigational) to the benefit of resolving disputes. There are 9 Principles of Fact Crashing\u2122. Earlier blogs covered:  Principle 1: Data is Evidence and […]<\/p>\n","protected":false},"author":7,"featured_media":3431,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[10,38],"tags":[16],"class_list":["post-3308","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","category-methodologies","tag-fact-crashing","has-post-title","has-post-date","has-post-category","has-post-tag","has-post-comment","has-post-author",""],"yoast_head":"\nFact Crashing\u2122 Principle 7: Data Understanding is Required for Analysis<\/title>\n<meta name=\"description\" content=\"In the ninth installment of Fact Crashing\u2122, iDS discusses the 7th principle, Data Understanding is Required for Proper Analysis.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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