{"id":4068,"date":"2014-02-20T08:26:08","date_gmt":"2014-02-20T01:26:08","guid":{"rendered":"http:\/\/science-technology.vn\/?p=4068"},"modified":"2014-02-20T08:26:08","modified_gmt":"2014-02-20T01:26:08","slug":"phan-tich-du-lieu","status":"publish","type":"post","link":"https:\/\/science-technology.vn\/?p=4068","title":{"rendered":"Ph\u00e2n t\u00edch d\u1eef li\u1ec7u"},"content":{"rendered":"

M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed doanh nghi\u1ec7p h\u1ecfi: \u201cKh\u00e1c bi\u1ec7t g\u00ec gi\u1eefa ph\u00e2n t\u00edch Big Data v\u00e0 ph\u00e2n t\u00edch truy\u1ec1n th\u1ed1ng? Ch\u00fang t\u00f4i \u0111\u00e3 t\u1eebng l\u00e0m ph\u00e2n t\u00edch nhi\u1ec1u n\u0103m v\u00e0 t\u00f4i kh\u00f4ng th\u1ea5y t\u1ea1i sao big data l\u1ea1i quan tr\u1ecdng th\u1ebf.\u201d<\/span><\/p>\n

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\u0110\u00e1p: C\u00f3 kh\u00e1c bi\u1ec7t l\u1edbn gi\u1eefa ph\u00e2n t\u00edch Big Data v\u00e0 ph\u00e2n t\u00edch truy\u1ec1n th\u1ed1ng. Ph\u00e2n t\u00edch truy\u1ec1n th\u1ed1ng d\u1ef1a tr\u00ean c\u00e1c y\u00eau c\u1ea7u doanh nghi\u1ec7p n\u01a1i d\u1eef li\u1ec7u \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh, c\u00f3 c\u1ea5u tr\u00fac, \u0111\u01b0\u1ee3c thu th\u1eadp, v\u00e0 \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch th\u00e0nh th\u00f4ng tin v\u1ec1 hi\u1ec7u n\u0103ng doanh nghi\u1ec7p \u0111\u1ec3 cho ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c so s\u00e1nh v\u1edbi th\u00f4ng tin qu\u00e1 kh\u1ee9. Ch\u1eb3ng h\u1ea1n s\u1ed1 b\u00e1n th\u00e1ng n\u00e0y \u00edt h\u01a1n nhi\u1ec1u so v\u1edbi th\u00e1ng tr\u01b0\u1edbc hay c\u00f4ng ti d\u00f9ng nhi\u1ec1u \u0111i\u1ec7n n\u0103m nay h\u01a1n n\u0103m tr\u01b0\u1edbc. D\u00f9ng th\u00f4ng tin n\u00e0y c\u1ea5p qu\u1ea3n l\u00ed c\u00f3 th\u1ec3 ra quy\u1ebft \u0111\u1ecbnh li\u00ean quan t\u1edbi v\u1eadn h\u00e0nh c\u1ee7a c\u00f4ng ti nh\u01b0 l\u1ee3i nhu\u1eadn, ch\u1ea5t l\u01b0\u1ee3ng, n\u0103ng su\u1ea5t, c\u1ea1nh tranh, hay ph\u1ebf th\u1ea3i v.v. Ph\u00e2n t\u00edch d\u1eef li\u1ec7u truy\u1ec1n th\u1ed1ng nh\u1eadn di\u1ec7n d\u1eef li\u1ec7u n\u00e0o h\u1ecd mu\u1ed1n thu th\u1eadp v\u00e0 l\u01b0u gi\u1eef ch\u00fang trong trang t\u00ednh excel hay c\u01a1 s\u1edf d\u1eef li\u1ec7u n\u01a1i ch\u00fang c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch b\u1edfi c\u00e1c c\u00f4ng c\u1ee5 m\u00f4 h\u00ecnh ho\u00e1 th\u1ed1ng k\u00ea \u0111\u1ec3 t\u1ea1o ra b\u00e1o c\u00e1o trinh s\u00e1t doanh nghi\u1ec7p.<\/p>\n

Ph\u00e2n t\u00edch Big Data l\u00e0 v\u1ec1 d\u1ef1 \u0111o\u00e1n xu h\u01b0\u1edbng v\u00e0 h\u00ecnh m\u1eabu v\u1ec1 \u0111i\u1ec1u c\u00f3 th\u1ec3 x\u1ea3y ra trong t\u01b0\u01a1ng lai d\u1ef1a tr\u00ean d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u ngu\u1ed3n (\u0110a d\u1ea1ng). V\u00ec d\u1eef li\u1ec7u kh\u00f4ng \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh, m\u1ed9t s\u1ed1 c\u00f3 th\u1ec3 l\u00e0 v\u0103n b\u1ea3n, \u1ea3nh, video, hay k\u00ed hi\u1ec7u (m\u00e3 v\u1ea1ch) v.v. n\u00f3 y\u00eau c\u1ea7u c\u00e1ch ngh\u0129 v\u00e0 c\u00e1ch ti\u1ebfp c\u1eadn kh\u00e1c ho\u00e0n to\u00e0n. B\u1edfi v\u00ec c\u00f3 nhi\u1ec1u th\u1ee9 trong ch\u00fang t\u1eeb nhi\u1ec1u ngu\u1ed3n, d\u1eef li\u1ec7u l\u00e0 kh\u1ed5ng l\u1ed3 (Kh\u1ed1i l\u01b0\u1ee3ng) v\u00e0 n\u00f3 thay \u0111\u1ed5i th\u01b0\u1eddng xuy\u00ean (Gia t\u1ed1c) cho n\u00ean r\u1ea5t kh\u00f3 thu th\u1eadp v\u00e0 ph\u00e2n t\u00edch b\u1eb1ng vi\u1ec7c d\u00f9ng ph\u01b0\u01a1ng ph\u00e1p truy\u1ec1n th\u1ed1ng. V\u00ec nh\u1eefng d\u1eef li\u1ec7u n\u00e0y kh\u00f4ng \u0111\u01b0\u1ee3c x\u00e1c \u0111\u1ecbnh, m\u1ed9t s\u1ed1 l\u00e0 c\u00f3 c\u1ea5u tr\u00fac v\u00e0 m\u1ed9t s\u1ed1 th\u00ec kh\u00f4ng, ch\u00fang kh\u00f4ng th\u1ec3 \u0111\u01b0\u1ee3c l\u01b0u gi\u1eef trong trang t\u00ednh hay c\u01a1 s\u1edf d\u1eef li\u1ec7u m\u00e0 ph\u1ea3i \u0111\u01b0\u1ee3c “m\u00f4 h\u00ecnh ho\u00e1 l\u1ea1i” v\u00e0 \u0111\u01b0\u1ee3c t\u1ed5 ch\u1ee9c kh\u00e1c \u0111i \u0111\u1ec3 xem th\u00f4ng tin hay h\u00ecnh m\u1eabu n\u00e0o c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c thu th\u1eadp v\u00e0 \u0111\u01b0\u1ee3c nh\u1eadn di\u1ec7n cho d\u1ef1 b\u00e1o t\u01b0\u01a1ng lai. Ch\u1eb3ng h\u1ea1n, kinh doanh tr\u1ef1c tuy\u1ebfn c\u00f3 th\u1ec3 thu th\u1eadp d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac t\u1eeb ph\u01b0\u01a1ng ti\u1ec7n x\u00e3 h\u1ed9i \u0111\u1ec3 x\u00e1c \u0111\u1ecbnh s\u1ea3n ph\u1ea9m n\u00e0o \u0111\u01b0\u1ee3c ng\u01b0\u1eddi d\u00f9ng nh\u1eafc t\u1edbi th\u01b0\u1eddng xuy\u00ean; xu h\u01b0\u1edbng n\u00e0o \u0111ang n\u1ed5i l\u00ean, hay qu\u1ea3ng c\u00e1o n\u00e0o l\u00e0 hi\u1ec7u qu\u1ea3 do s\u1ed1 l\u01b0\u1ee3ng b\u1ea5m c\u1ee7a ng\u01b0\u1eddi d\u00f9ng v.v.<\/p>\n

C\u00e1c c\u00f4ng c\u1ee5 c\u1ee7a trinh s\u00e1t doanh nghi\u1ec7p truy\u1ec1n th\u1ed1ng \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho d\u1eef li\u1ec7u c\u00f3 c\u1ea5u tr\u00fac nh\u01b0 v\u0103n b\u1ea3n v\u00e0 s\u1ed1 nh\u01b0ng KH\u00d4NG \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho d\u1eef li\u1ec7u phi c\u1ea5u tr\u00fac nh\u01b0 m\u00e3 v\u1ea1ch v\u00e0 \u1ea3nh. B\u1ea1n s\u1ebd c\u1ea7n c\u00e1c c\u00f4ng c\u1ee5 kh\u00e1c, c\u00e1c thu\u1eadt to\u00e1n kh\u00e1c v\u00e0 m\u00f4 h\u00ecnh to\u00e1n h\u1ecdc cho ph\u00e2n t\u00edch big data v\u00ec c\u00f3 nhi\u1ec1u ngu\u1ed3n t\u1eeb \u0111\u00f3 d\u1eef li\u1ec7u c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c ph\u00e2n t\u00edch (\u0111a d\u1ea1ng). Ch\u1eb3ng h\u1ea1n trong ph\u00e2n t\u00edch b\u1ea3o hi\u1ec3m truy\u1ec1n th\u1ed1ng, b\u1ea1n c\u00f3 th\u1ec3 l\u1ea5y th\u1eeba s\u1ed1 r\u1ee7i ro d\u1ef1a tr\u00ean t\u1eadp c\u00e1c c\u00e2u h\u1ecfi nh\u01b0, tu\u1ed5i, s\u1ee9c kho\u1ebb, tai n\u1ea1n, gi\u00e1 tr\u1ecb v.v.\u00a0 B\u00e2y gi\u1edd v\u1edbi t\u1eebng c\u00e2u h\u1ecfi, c\u00f3 nhi\u1ec1u d\u1eef li\u1ec7u s\u1eb5n c\u00f3 d\u1ef1a tr\u00ean giao di\u1ec7n c\u1ee7a ng\u01b0\u1eddi d\u00f9ng qua ph\u01b0\u01a1ng ti\u1ec7n x\u00e3 h\u1ed9i, thi\u1ebft b\u1ecb di \u0111\u1ed9ng v.v. Th\u00f4ng tin n\u00e0y s\u1ebd d\u1ee9t kho\u00e1t \u1ea3nh h\u01b0\u1edfng t\u1edbi k\u1ebft qu\u1ea3 cu\u1ed1i c\u00f9ng (t\u00ednh nh\u00e2n t\u1ed1 r\u1ee7i ro). V\u00ec nh\u1eefng d\u1eef li\u1ec7u n\u00e0y kh\u00f4ng \u1edf m\u1ed9t ch\u1ed7, n\u00f3 l\u00e0 phi c\u1ea5u tr\u00fac v\u00e0 \u0111\u01b0\u1ee3c sinh ra t\u1ea1i m\u1ecdi kho\u1ea3ng th\u1eddi gian \u0111\u00e3 cho qua nhi\u1ec1u ngu\u1ed3n v\u00e0 theo kh\u1ed1i l\u01b0\u1ee3ng kh\u1ed5ng l\u1ed3 do \u0111\u00f3 c\u00e1c c\u00f4ng c\u1ee5 m\u00f4 h\u00ecnh ho\u00e1 s\u1ebd ph\u1ea3i thay \u0111\u1ed5i v\u00e0 t\u1ed5 h\u1ee3p c\u00f4ng ngh\u1ec7 h\u1ecdc m\u00e1y \u0111\u1ec3 n\u1eafm b\u1eaft t\u1ea5t c\u1ea3 nh\u1eefng \u0111i\u1ec1u n\u00e0y.<\/p>\n

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—English version—<\/p>\n

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Data analytics<\/p>\n

A business manager asked: \u201cWhat is the difference between Big Data analytics and Traditional analytics? We have been doing analytic for years and I do not see why big data is that important.\u201d<\/p>\n

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Answer: There is a difference between Big Data analytics and Traditional analytics. Traditional analytics is based on business requirements where the data is defined, structured, collected, and analyzed into information about business performance so they can be compare with past information. For example sale this month is much less than last month or the company used more electricity this year than last year. Using this information management can make decisions regarding the operation of the company such as profits, quality, productivity, competitive, or wastes etc. Traditional data analysts identifies what data they want to collect and stores them in excel spreadsheet or database where they can be analyzed by statistical modeling tools to create business intelligence reports.<\/p>\n

Big Data analytics is about predicting trends and patterns on what may happen in the future based on data from many sources (Variety). Since the data are not defined, some may be texts, pictures, video, or symbols (Bar code) etc. it requires a completely different minds set and approach. Because there are so many of them from so many sources, the data are huge (Volume) and it changes often (Velocity) so it is very difficult to collect and analyze using traditional methods. Because these data are not defined, some are structured and some are not, they cannot be stored in spreadsheets or database but have to be \u201cre-modelled\u201d and organized differently to see which information or patterns can be collected and identified for future predictions. For example, online business may collect unstructured data from social media to determine what products are being mentioned often by users; which trends are emerging, or which advertises are effective due to the number of user\u2019s click etc.<\/p>\n

Traditional business intelligence\u2019s tools are designed for structured data such as text and number but NOT unstructured data such as bar code and pictures. You will need different tools, different algorithms and mathematical models for big data analysis because there are many sources from which data can be analyzed (variety). For example in traditional insurance analysis, you can capture risk factors based on a set of questions i.e., ages, health, accidents, values etc.\u00a0 Now for each question, there is many data available based on the user\u2019s interface through social media, mobile devices etc. This information will definitely influence the final outcome (calculating the risk factor). Since these data are not in one place, it is unstructured and is being generated at every given moment through multiple sources and in huge volume therefore modelling tools will have to change and incorporate machine learning technology in order to capture all this.<\/p>\n","protected":false},"excerpt":{"rendered":"

M\u1ed9t ng\u01b0\u1eddi qu\u1ea3n l\u00ed doanh nghi\u1ec7p h\u1ecfi: \u201cKh\u00e1c bi\u1ec7t g\u00ec gi\u1eefa ph\u00e2n t\u00edch Big Data v\u00e0 ph\u00e2n t\u00edch truy\u1ec1n th\u1ed1ng? Ch\u00fang t\u00f4i \u0111\u00e3 t\u1eebng l\u00e0m … <\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[26],"tags":[],"class_list":["post-4068","post","type-post","status-publish","format-standard","hentry","category-xu-huong-cong-nghe"],"_links":{"self":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4068","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4068"}],"version-history":[{"count":2,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4068\/revisions"}],"predecessor-version":[{"id":4070,"href":"https:\/\/science-technology.vn\/index.php?rest_route=\/wp\/v2\/posts\/4068\/revisions\/4070"}],"wp:attachment":[{"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4068"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4068"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/science-technology.vn\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4068"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}