{"updated":"2025-01-19T16:44:56.625821+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00142691","sets":["6394:7784:7787"]},"path":["7787"],"owner":"13","recid":"142691","title":["アナリティクスで継続して成果を生み出す仕組み"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-07-15"},"_buckets":{"deposit":"0ee4736b-0c0f-4f2b-8911-d7fda18a28e7"},"_deposit":{"id":"142691","pid":{"type":"depid","value":"142691","revision_id":0},"owners":[13],"status":"published","created_by":13},"item_title":"アナリティクスで継続して成果を生み出す仕組み","author_link":["212692"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"アナリティクスで継続して成果を生み出す仕組み"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"特集:ビッグデータ分析をビジネスに活かす","subitem_subject_scheme":"Other"}]},"item_type_id":"21","publish_date":"2015-07-15","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_21_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"日本アイ・ビー・エム(株)"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/142691/files/IPSJ-DP0603004.pdf","label":"IPSJ-DP0603004"},"date":[{"dateType":"Available","dateValue":"2021-12-07"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DP0603004.pdf","filesize":[{"value":"775.3 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"5"},{"tax":["include_tax"],"price":"0","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"1142a028-daff-4cc5-94af-26623d47089f","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Information Processing Society of Japan"}]},"item_21_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山田敦"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_6501","resourcetype":"journal article"}]},"item_21_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1245124X","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-4390","subitem_source_identifier_type":"ISSN"}]},"item_21_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"ビッグデータから競争優位を構築するために,多くの企業がアナリティクスの活用を進めている.優秀なデータサイエンティストを多数獲得・育成できれば,果たして成果を生み続けられるのだろうか.これまで数多くのお客様に対してアナリティクス活用の支援をしてきた筆者は,アナリティクスで継続して成果を生み出すには,企業は組織としての仕組みを持つべきであると考える.そう考えて筆者が実践してきたことを,本稿で,企業の仕組みとしてまとめた.この仕組みは,(1)データ活用プロセス,(2)データ基盤管理,(3)意思決定と運用管理の3つから構成される.","subitem_description_type":"Other"}]},"item_21_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"197","bibliographic_titles":[{"bibliographic_title":"デジタルプラクティス"}],"bibliographicPageStart":"190","bibliographicIssueDates":{"bibliographicIssueDate":"2015-07-15","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicVolumeNumber":"6"}]},"relation_version_is_last":true,"item_21_alternative_title_2":{"attribute_name":"その他タイトル","attribute_value_mlt":[{"subitem_alternative_title":"招待論文"}]},"weko_creator_id":"13"},"created":"2025-01-19T00:20:06.797653+00:00","id":142691,"links":{}}