{"id":19131,"date":"2025-12-05T07:22:47","date_gmt":"2025-12-05T07:22:47","guid":{"rendered":"https:\/\/client.digityze.asia\/multisite\/?p=19131"},"modified":"2025-12-31T10:23:41","modified_gmt":"2025-12-31T10:23:41","slug":"big-data-ra-quyet-dinh-tu-phan-tich-den-hanh-dong","status":"publish","type":"post","link":"https:\/\/client.digityze.asia\/multisite\/vi\/blog\/big-data-ra-quyet-dinh-tu-phan-tich-den-hanh-dong\/","title":{"rendered":"S\u1eed d\u1ee5ng Big Data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh hi\u1ec7u qu\u1ea3: C\u00e1c c\u1ea5p ph\u00e2n t\u00edch \u2013 Case th\u1ef1c chi\u1ebfn v\u00e0 checklist h\u00e0nh \u0111\u1ed9ng"},"content":{"rendered":"\n
\"H\u1ed9i<\/figure>\n\n\n\n

Trong m\u00f4i tr\u01b0\u1eddng kinh doanh s\u1ed1 h\u00f3a hi\u1ec7n t\u1ea1i, vi\u1ec7c s\u1eed d\u1ee5ng big data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh kh\u00f4ng c\u00f2n l\u00e0 l\u1ef1a ch\u1ecdn m\u00e0 tr\u1edf th\u00e0nh y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh s\u1ef1 t\u1ed3n t\u1ea1i. T\u1eeb nh\u1eefng t\u1eadp \u0111o\u00e0n to\u00e0n c\u1ea7u nh\u01b0 Netflix, Amazon \u0111\u1ebfn c\u00e1c doanh nghi\u1ec7p v\u1eeba v\u00e0 nh\u1ecf, vi\u1ec7c \u00e1p d\u1ee5ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn (big data analytics) \u0111ang t\u1ea1o ra nh\u1eefng \u0111\u1ed9t ph\u00e1 v\u1ec1 hi\u1ec7u qu\u1ea3 v\u1eadn h\u00e0nh v\u00e0 l\u1ee3i nhu\u1eadn.<\/p>\n\n\n\n

B\u00e0i vi\u1ebft n\u00e0y s\u1ebd h\u01b0\u1edbng d\u1eabn chi ti\u1ebft c\u00e1ch tri\u1ec3n khai ph\u00e2n t\u00edch d\u1eef li\u1ec7u kinh doanh t\u1eeb c\u01a1 b\u1ea3n \u0111\u1ebfn n\u00e2ng cao, k\u00e8m theo c\u00e1c t\u00ecnh hu\u1ed1ng nghi\u00ean c\u1ee9u qu\u1ed1c t\u1ebf v\u00e0 danh s\u00e1ch h\u00e0nh \u0111\u1ed9ng c\u1ee5 th\u1ec3.<\/em><\/p>\n\n\n\n

<\/a>T\u1ea1i sao doanh nghi\u1ec7p kh\u00f4ng th\u1ec3 b\u1ecf qua Big Data v\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u?<\/strong><\/h3>\n\n\n\n

<\/a>S\u1ee9c m\u1ea1nh c\u1ee7a d\u1eef li\u1ec7u trong n\u1ec1n kinh t\u1ebf s\u1ed1<\/strong><\/h4>\n\n\n\n

Theo b\u00e1o c\u00e1o c\u1ee7a Vi\u1ec7n McKinsey to\u00e0n c\u1ea7u, c\u00e1c t\u1ed5 ch\u1ee9c \u00e1p d\u1ee5ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn c\u00f3 th\u1ec3 t\u0103ng l\u1ee3i nhu\u1eadn trung b\u00ecnh 5-6% so v\u1edbi c\u00e1c \u0111\u1ed1i th\u1ee7 c\u00f9ng ng\u00e0nh. Thay v\u00ec d\u1ef1a v\u00e0o tr\u1ef1c gi\u00e1c hay kinh nghi\u1ec7m, c\u00e1c nh\u00e0 l\u00e3nh \u0111\u1ea1o hi\u1ec7n \u0111\u1ea1i s\u1eed d\u1ee5ng big data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh d\u1ef1a tr\u00ean b\u1eb1ng ch\u1ee9ng c\u1ee5 th\u1ec3.<\/p>\n\n\n\n

D\u1eef li\u1ec7u l\u1edbn gi\u00fap doanh nghi\u1ec7p n\u1eafm b\u1eaft ch\u00ednh x\u00e1c h\u00e0nh vi kh\u00e1ch h\u00e0ng th\u00f4ng qua vi\u1ec7c ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb nhi\u1ec1u \u0111i\u1ec3m ti\u1ebfp x\u00fac kh\u00e1c nhau. \u0110i\u1ec1u n\u00e0y cho ph\u00e9p t\u1ed1i \u01b0u h\u00f3a h\u00e0nh tr\u00ecnh kh\u00e1ch h\u00e0ng v\u00e0 c\u1ea3i thi\u1ec7n tr\u1ea3i nghi\u1ec7m ng\u01b0\u1eddi d\u00f9ng m\u1ed9t c\u00e1ch c\u00f3 h\u1ec7 th\u1ed1ng.<\/p>\n\n\n\n

<\/a>Xu h\u01b0\u1edbng \u1ee9ng d\u1ee5ng t\u1ea1i th\u1ecb tr\u01b0\u1eddng Vi\u1ec7t Nam<\/strong><\/h4>\n\n\n\n

T\u1ea1i Vi\u1ec7t Nam, t\u1ef7 l\u1ec7 doanh nghi\u1ec7p \u00e1p d\u1ee5ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn \u0111ang t\u0103ng tr\u01b0\u1edfng 25% m\u1ed7i n\u0103m. C\u00e1c ng\u00e0nh d\u1eabn \u0111\u1ea7u bao g\u1ed3m ng\u00e2n h\u00e0ng, b\u00e1n l\u1ebb v\u00e0 logistics \u0111\u00e3 b\u1eaft \u0111\u1ea7u chuy\u1ec3n \u0111\u1ed5i t\u1eeb b\u00e1o c\u00e1o truy\u1ec1n th\u1ed1ng sang ph\u00e2n t\u00edch d\u1ef1 b\u00e1o.<\/p>\n\n\n\n

Tuy nhi\u00ean, th\u00e1ch th\u1ee9c l\u1edbn nh\u1ea5t v\u1eabn l\u00e0 thi\u1ebfu nh\u00e2n l\u1ef1c chuy\u00ean m\u00f4n v\u00e0 h\u1ea1 t\u1ea7ng c\u00f4ng ngh\u1ec7 ph\u00f9 h\u1ee3p \u0111\u1ec3 tri\u1ec3n khai c\u00e1c gi\u1ea3i ph\u00e1p ph\u00e2n t\u00edch d\u1eef li\u1ec7u kinh doanh hi\u1ec7u qu\u1ea3.<\/p>\n\n\n\n

<\/a>Ba c\u1ea5p \u0111\u1ed9 ph\u00e2n t\u00edch d\u1eef li\u1ec7u: t\u1eeb “ch\u1ec9 th\u1ea5y” \u0111\u1ebfn “ra h\u00e0nh \u0111\u1ed9ng”<\/strong><\/h3>\n\n\n\n

<\/a>Ph\u00e2n t\u00edch m\u00f4 t\u1ea3 (Descriptive Analytics) \u2013 Hi\u1ec3u r\u00f5 \u0111i\u1ec1u \u0111\u00e3 x\u1ea3y ra<\/strong><\/h4>\n\n\n\n

Ph\u00e2n t\u00edch m\u00f4 t\u1ea3 l\u00e0 n\u1ec1n t\u1ea3ng c\u1ee7a m\u1ecdi ho\u1ea1t \u0111\u1ed9ng ph\u00e2n t\u00edch, t\u1eadp trung v\u00e0o vi\u1ec7c m\u00f4 t\u1ea3 v\u00e0 t\u1ed5ng h\u1ee3p d\u1eef li\u1ec7u l\u1ecbch s\u1eed. C\u1ea5p \u0111\u1ed9 n\u00e0y gi\u00fap doanh nghi\u1ec7p tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi “Chuy\u1ec7n g\u00ec \u0111\u00e3 x\u1ea3y ra?” th\u00f4ng qua b\u1ea3ng \u0111i\u1ec1u khi\u1ec3n (dashboard), b\u00e1o c\u00e1o v\u00e0 c\u00e1c ch\u1ec9 s\u1ed1 KPI.<\/p>\n\n\n\n

V\u00ed d\u1ee5 \u0111i\u1ec3n h\u00ecnh l\u00e0 Netflix s\u1eed d\u1ee5ng ph\u00e2n t\u00edch m\u00f4 t\u1ea3 \u0111\u1ec3 theo d\u00f5i th\u1eddi gian xem, t\u1ef7 l\u1ec7 ho\u00e0n th\u00e0nh phim v\u00e0 t\u01b0\u01a1ng t\u00e1c c\u1ee7a ng\u01b0\u1eddi d\u00f9ng. D\u1eef li\u1ec7u n\u00e0y t\u1ea1o c\u01a1 s\u1edf cho vi\u1ec7c \u0111\u00e1nh gi\u00e1 hi\u1ec7u qu\u1ea3 n\u1ed9i dung v\u00e0 \u0111i\u1ec1u ch\u1ec9nh chi\u1ebfn l\u01b0\u1ee3c s\u1ea3n xu\u1ea5t.<\/p>\n\n\n\n

\"Chuy\u1ec3n
Ph\u00e2n t\u00edch m\u00f4 t\u1ea3 l\u00e0 vi\u1ec7c m\u00f4 t\u1ea3 v\u00e0 t\u1ed5ng h\u1ee3p d\u1eef li\u1ec7u l\u1ecbch s\u1eed<\/figcaption><\/figure>\n\n\n\n

Ph\u00e2n t\u00edch d\u1ef1 b\u00e1o (Predictive Analytics) \u2013 D\u1ef1 b\u00e1o xu h\u01b0\u1edbng t\u01b0\u01a1ng lai<\/strong><\/h4>\n\n\n\n

Ph\u00e2n t\u00edch d\u1ef1 b\u00e1o s\u1eed d\u1ee5ng h\u1ecdc m\u00e1y (machine learning) v\u00e0 m\u00f4 h\u00ecnh th\u1ed1ng k\u00ea \u0111\u1ec3 d\u1ef1 \u0111o\u00e1n c\u00e1c k\u1ebft qu\u1ea3 t\u01b0\u01a1ng lai d\u1ef1a tr\u00ean d\u1eef li\u1ec7u l\u1ecbch s\u1eed. C\u1ea5p \u0111\u1ed9 n\u00e0y tr\u1ea3 l\u1eddi c\u00e2u h\u1ecfi “C\u00f3 kh\u1ea3 n\u0103ng x\u1ea3y ra \u0111i\u1ec1u g\u00ec?”<\/p>\n\n\n\n

Amazon l\u00e0 t\u00ecnh hu\u1ed1ng nghi\u00ean c\u1ee9u \u0111i\u1ec3n h\u00ecnh v\u1edbi h\u1ec7 th\u1ed1ng g\u1ee3i \u00fd s\u1ea3n ph\u1ea9m (recommendation engine), d\u1ef1 b\u00e1o ch\u00ednh x\u00e1c 35% doanh thu t\u1eeb vi\u1ec7c g\u1ee3i \u00fd s\u1ea3n ph\u1ea9m. Thu\u1eadt to\u00e1n ph\u00e2n t\u00edch h\u00e0nh vi mua s\u1eafm \u0111\u1ec3 \u0111\u01b0a ra nh\u1eefng g\u1ee3i \u00fd ph\u00f9 h\u1ee3p v\u1edbi t\u1eebng kh\u00e1ch h\u00e0ng c\u00e1 nh\u00e2n.<\/p>\n\n\n\n

<\/a>Ph\u00e2n t\u00edch \u0111\u1ec1 xu\u1ea5t (Prescriptive Analytics) \u2013 \u0110\u01b0a ra h\u00e0nh \u0111\u1ed9ng t\u1ed1i \u01b0u<\/strong><\/h4>\n\n\n\n

Ph\u00e2n t\u00edch \u0111\u1ec1 xu\u1ea5t l\u00e0 c\u1ea5p \u0111\u1ed9 cao nh\u1ea5t, kh\u00f4ng ch\u1ec9 d\u1ef1 b\u00e1o m\u00e0 c\u00f2n \u0111\u1ec1 xu\u1ea5t c\u00e1c h\u00e0nh \u0111\u1ed9ng c\u1ee5 th\u1ec3 \u0111\u1ec3 \u0111\u1ea1t \u0111\u01b0\u1ee3c k\u1ebft qu\u1ea3 mong mu\u1ed1n. \u0110\u00e2y ch\u00ednh l\u00e0 l\u00fac big data tr\u1edf th\u00e0nh c\u00f4ng c\u1ee5 \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh chi\u1ebfn l\u01b0\u1ee3c.<\/p>\n\n\n\n

Qu\u1ea3ng c\u00e1o Google (Google Ads) s\u1eed d\u1ee5ng ph\u00e2n t\u00edch \u0111\u1ec1 xu\u1ea5t \u0111\u1ec3 t\u1ef1 \u0111\u1ed9ng \u0111i\u1ec1u ch\u1ec9nh gi\u00e1 th\u1ea7u (bid price), nh\u1eafm m\u1ee5c ti\u00eau (targeting) v\u00e0 n\u1ed9i dung s\u00e1ng t\u1ea1o d\u1ef1a tr\u00ean d\u1eef li\u1ec7u hi\u1ec7u su\u1ea5t th\u1eddi gian th\u1ef1c, gi\u00fap t\u1ed1i \u01b0u h\u00f3a t\u1ef7 su\u1ea5t ho\u00e0n v\u1ed1n (ROI) cho c\u00e1c nh\u00e0 qu\u1ea3ng c\u00e1o.<\/p>\n\n\n\n

<\/a>Case Study: T\u1eeb d\u1eef li\u1ec7u \u0111\u1ebfn doanh s\u1ed1<\/strong><\/h3>\n\n\n\n

<\/a>Levi’s v\u00e0 cu\u1ed9c c\u00e1ch m\u1ea1ng d\u1ef1 b\u00e1o xu h\u01b0\u1edbng th\u1eddi trang<\/strong><\/h4>\n\n\n\n

Levi’s \u0111\u00e3 tri\u1ec3n khai h\u1ec7 th\u1ed1ng tr\u00ed tu\u1ec7 nh\u00e2n t\u1ea1o (AI) tr\u00ean n\u1ec1n t\u1ea3ng Google Cloud \u0111\u1ec3 ph\u00e2n t\u00edch d\u1eef li\u1ec7u t\u1eeb m\u1ea1ng x\u00e3 h\u1ed9i, xu h\u01b0\u1edbng t\u00ecm ki\u1ebfm v\u00e0 d\u1eef li\u1ec7u b\u00e1n h\u00e0ng. K\u1ebft qu\u1ea3, th\u01b0\u01a1ng hi\u1ec7u d\u1ef1 b\u00e1o ch\u00ednh x\u00e1c xu h\u01b0\u1edbng qu\u1ea7n jean r\u1ed9ng (baggy jeans) s\u1ebd quay tr\u1edf l\u1ea1i, d\u1eabn \u0111\u1ebfn t\u0103ng 15% doanh s\u1ed1 trong qu\u00fd tri\u1ec3n khai.<\/p>\n\n\n\n

B\u00e0i h\u1ecdc quan tr\u1ecdng t\u1eeb t\u00ecnh hu\u1ed1ng n\u00e0y l\u00e0 vi\u1ec7c k\u1ebft h\u1ee3p nhi\u1ec1u ngu\u1ed3n d\u1eef li\u1ec7u (n\u1ed9i b\u1ed9 + b\u00ean ngo\u00e0i) gi\u00fap doanh nghi\u1ec7p ph\u1ea3n \u1ee9ng nhanh v\u1edbi thay \u0111\u1ed5i th\u1ecb tr\u01b0\u1eddng v\u00e0 t\u1ea1o l\u1ee3i th\u1ebf c\u1ea1nh tranh b\u1ec1n v\u1eefng.<\/p>\n\n\n\n

<\/a>McDonald’s v\u00e0 t\u1ed1i \u01b0u h\u00f3a chu\u1ed7i cung \u1ee9ng th\u00f4ng minh<\/strong><\/h4>\n\n\n\n

McDonald’s \u00e1p d\u1ee5ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn \u0111\u1ec3 d\u1ef1 b\u00e1o nhu c\u1ea7u th\u1ef1c ph\u1ea9m d\u1ef1a tr\u00ean d\u1eef li\u1ec7u th\u1eddi ti\u1ebft, s\u1ef1 ki\u1ec7n \u0111\u1ecba ph\u01b0\u01a1ng v\u00e0 doanh s\u1ed1 l\u1ecbch s\u1eed. H\u1ec7 th\u1ed1ng AI t\u1ef1 \u0111\u1ed9ng \u0111i\u1ec1u ch\u1ec9nh m\u1ee9c t\u1ed3n kho, gi\u1ea3m 20% l\u00e3ng ph\u00ed th\u1ee9c \u0103n v\u00e0 t\u0103ng 12% \u0111\u1ed9 h\u00e0i l\u00f2ng c\u1ee7a kh\u00e1ch h\u00e0ng.<\/p>\n\n\n\n

T\u00ecnh hu\u1ed1ng nghi\u00ean c\u1ee9u n\u00e0y ch\u1ee9ng minh r\u1eb1ng ph\u00e2n t\u00edch \u0111\u1ec1 xu\u1ea5t kh\u00f4ng ch\u1ec9 gi\u00fap t\u1ed1i \u01b0u chi ph\u00ed m\u00e0 c\u00f2n c\u1ea3i thi\u1ec7n tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng th\u00f4ng qua vi\u1ec7c \u0111\u1ea3m b\u1ea3o s\u1ea3n ph\u1ea9m lu\u00f4n c\u00f3 s\u1eb5n v\u00e0 t\u01b0\u01a1i ngon.<\/p>\n\n\n\n

<\/a>Spotify v\u00e0 c\u00e1 nh\u00e2n h\u00f3a \u1edf quy m\u00f4 to\u00e0n c\u1ea7u<\/strong><\/h4>\n\n\n\n

Spotify s\u1eed d\u1ee5ng big data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh v\u1ec1 tuy\u1ec3n ch\u1ecdn n\u1ed9i dung, v\u1edbi thu\u1eadt to\u00e1n ph\u00e2n t\u00edch h\u01a1n 70 tri\u1ec7u b\u00e0i h\u00e1t v\u00e0 s\u1edf th\u00edch c\u1ee7a 400 tri\u1ec7u ng\u01b0\u1eddi d\u00f9ng. T\u00ednh n\u0103ng “Kh\u00e1m ph\u00e1 h\u00e0ng tu\u1ea7n” (Discover Weekly) t\u1ea1o ra 40% t\u01b0\u01a1ng t\u00e1c v\u00e0 24% t\u1ef7 l\u1ec7 gi\u1eef ch\u00e2n kh\u00e1ch h\u00e0ng cao h\u01a1n.<\/p>\n\n\n\n

Th\u00e0nh c\u00f4ng c\u1ee7a Spotify cho th\u1ea5y vi\u1ec7c \u00e1p d\u1ee5ng ph\u00e2n t\u00edch d\u1eef li\u1ec7u kinh doanh \u1edf quy m\u00f4 l\u1edbn c\u00f3 th\u1ec3 t\u1ea1o ra nh\u1eefng s\u1ea3n ph\u1ea9m \u0111\u1ed9c \u0111\u00e1o v\u00e0 tr\u1ea3i nghi\u1ec7m c\u00e1 nh\u00e2n h\u00f3a ho\u00e0n to\u00e0n.<\/p>\n\n\n\n

<\/a>L\u1ee3i \u00edch t\u1ed5ng h\u1ee3p c\u1ee7a ph\u00e2n t\u00edch Big Data<\/strong><\/h3>\n\n\n\n

<\/a>C\u1ea3i thi\u1ec7n tr\u1ea3i nghi\u1ec7m kh\u00e1ch h\u00e0ng<\/strong><\/h4>\n\n\n\n

D\u1eef li\u1ec7u l\u1edbn cho ph\u00e9p doanh nghi\u1ec7p hi\u1ec3u s\u00e2u h\u00e0nh tr\u00ecnh kh\u00e1ch h\u00e0ng v\u00e0 t\u1ed1i \u01b0u h\u00f3a t\u1eebng \u0111i\u1ec3m ti\u1ebfp x\u00fac. Vi\u1ec7c ph\u00e2n t\u00edch d\u1eef li\u1ec7u c\u1ea3m x\u00fac (sentiment data) t\u1eeb m\u1ea1ng x\u00e3 h\u1ed9i v\u00e0 ph\u1ea3n h\u1ed3i kh\u00e1ch h\u00e0ng gi\u00fap c\u1ea3i thi\u1ec7n ch\u1ea5t l\u01b0\u1ee3ng d\u1ecbch v\u1ee5 v\u00e0 ph\u00e1t tri\u1ec3n s\u1ea3n ph\u1ea9m.<\/p>\n\n\n\n

<\/a>T\u1ed1i \u01b0u v\u1eadn h\u00e0nh v\u00e0 gi\u1ea3m chi ph\u00ed<\/strong><\/h4>\n\n\n\n

Ph\u00e2n t\u00edch \u0111\u1ec1 xu\u1ea5t gi\u00fap t\u1ef1 \u0111\u1ed9ng h\u00f3a c\u00e1c quy tr\u00ecnh ra quy\u1ebft \u0111\u1ecbnh, t\u1eeb qu\u1ea3n l\u00fd kho h\u00e0ng \u0111\u1ebfn ph\u00e2n b\u1ed5 ngu\u1ed3n l\u1ef1c. \u0110i\u1ec1u n\u00e0y kh\u00f4ng ch\u1ec9 gi\u1ea3m sai s\u00f3t do con ng\u01b0\u1eddi m\u00e0 c\u00f2n t\u0103ng t\u1ed1c \u0111\u1ed9 ph\u1ea3n \u1ee9ng v\u1edbi thay \u0111\u1ed5i th\u1ecb tr\u01b0\u1eddng.<\/p>\n\n\n\n

<\/a>D\u1ef1 b\u00e1o v\u00e0 qu\u1ea3n tr\u1ecb r\u1ee7i ro hi\u1ec7u qu\u1ea3<\/strong><\/h4>\n\n\n\n

M\u00f4 h\u00ecnh d\u1ef1 b\u00e1o gi\u00fap doanh nghi\u1ec7p d\u1ef1 \u0111o\u00e1n c\u00e1c r\u1ee7i ro ti\u1ec1m \u1ea9n t\u1eeb bi\u1ebfn \u0111\u1ed9ng th\u1ecb tr\u01b0\u1eddng \u0111\u1ebfn s\u1ef1 c\u1ed1 v\u1eadn h\u00e0nh. H\u1ec7 th\u1ed1ng c\u1ea3nh b\u00e1o s\u1edbm d\u1ef1a tr\u00ean big data c\u00f3 th\u1ec3 gi\u1ea3m 30-50% t\u00e1c \u0111\u1ed9ng c\u1ee7a c\u00e1c s\u1ef1 c\u1ed1 kh\u00f4ng mong mu\u1ed1n.<\/p>\n\n\n\n

<\/a>Th\u00fac \u0111\u1ea9y \u0111\u1ed5i m\u1edbi s\u1ea3n ph\u1ea9m v\u00e0 d\u1ecbch v\u1ee5<\/strong><\/h4>\n\n\n\n

Nh\u1eefng hi\u1ec3u bi\u1ebft d\u1ef1a tr\u00ean d\u1eef li\u1ec7u (data-driven insights) m\u1edf ra nh\u1eefng c\u01a1 h\u1ed9i \u0111\u1ed5i m\u1edbi m\u00e0 nghi\u00ean c\u1ee9u th\u1ecb tr\u01b0\u1eddng truy\u1ec1n th\u1ed1ng kh\u00f4ng th\u1ec3 ph\u00e1t hi\u1ec7n. Vi\u1ec7c ph\u00e2n t\u00edch nhu c\u1ea7u ch\u01b0a \u0111\u01b0\u1ee3c \u0111\u00e1p \u1ee9ng t\u1eeb d\u1eef li\u1ec7u h\u00e0nh vi kh\u00e1ch h\u00e0ng l\u00e0 ngu\u1ed3n c\u1ea3m h\u1ee9ng cho ph\u00e1t tri\u1ec3n s\u1ea3n ph\u1ea9m.<\/p>\n\n\n\n

<\/a>Th\u00e1ch th\u1ee9c v\u00e0 c\u00e1ch kh\u1eafc ph\u1ee5c<\/strong><\/h3>\n\n\n\n

<\/a>V\u1ea5n \u0111\u1ec1 ph\u00e2n m\u1ea3nh d\u1eef li\u1ec7u v\u00e0 ch\u1ea5t l\u01b0\u1ee3ng<\/strong><\/h4>\n\n\n\n

Nhi\u1ec1u doanh nghi\u1ec7p g\u1eb7p kh\u00f3 kh\u0103n v\u1edbi d\u1eef li\u1ec7u ph\u00e2n t\u00e1n \u1edf nhi\u1ec1u h\u1ec7 th\u1ed1ng kh\u00e1c nhau, d\u1eabn \u0111\u1ebfn nh\u1eefng hi\u1ec3u bi\u1ebft kh\u00f4ng nh\u1ea5t qu\u00e1n. C\u00e1c v\u1ea5n \u0111\u1ec1 ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u nh\u01b0 b\u1ea3n ghi tr\u00f9ng l\u1eb7p, thi\u1ebfu gi\u00e1 tr\u1ecb c\u0169ng \u1ea3nh h\u01b0\u1edfng \u0111\u1ebfn \u0111\u1ed9 tin c\u1eady c\u1ee7a ph\u00e2n t\u00edch.<\/p>\n\n\n\n

<\/a>Thi\u1ebfu qu\u1ea3n tr\u1ecb v\u00e0 v\u0103n h\u00f3a d\u1eef li\u1ec7u<\/strong><\/h4>\n\n\n\n

Vi\u1ec7c thi\u1ebfu ch\u00ednh s\u00e1ch qu\u1ea3n tr\u1ecb d\u1eef li\u1ec7u r\u00f5 r\u00e0ng v\u00e0 s\u1ef1 kh\u00e1ng c\u1ef1 thay \u0111\u1ed5i t\u1eeb c\u00e1c b\u00ean li\u00ean quan l\u00e0 nh\u1eefng tr\u1edf ng\u1ea1i l\u1edbn trong vi\u1ec7c tri\u1ec3n khai ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn doanh nghi\u1ec7p.<\/p>\n\n\n\n

<\/a>Gi\u1ea3i ph\u00e1p h\u1ec7 th\u1ed1ng v\u00e0 nh\u00e2n l\u1ef1c<\/strong><\/h4>\n\n\n\n

X\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng d\u1eef li\u1ec7u th\u1ed1ng nh\u1ea5t v\u1edbi quy tr\u00ecnh tr\u00edch xu\u1ea5t-chuy\u1ec3n \u0111\u1ed5i-t\u1ea3i (ETL) ph\u00f9 h\u1ee3p l\u00e0 b\u01b0\u1edbc \u0111\u1ea7u ti\u00ean. \u0110\u1ed3ng th\u1eddi, \u0111\u1ea7u t\u01b0 v\u00e0o \u0111\u00e0o t\u1ea1o v\u00e0 tuy\u1ec3n d\u1ee5ng nh\u00e2n t\u00e0i d\u1eef li\u1ec7u s\u1ebd \u0111\u1ea3m b\u1ea3o th\u00e0nh c\u00f4ng b\u1ec1n v\u1eefng c\u1ee7a c\u00e1c s\u00e1ng ki\u1ebfn d\u1eef li\u1ec7u.<\/p>\n\n\n\n

Tri\u1ec3n khai ch\u01b0\u01a1ng tr\u00ecnh qu\u1ea3n l\u00fd thay \u0111\u1ed5i \u0111\u1ec3 t\u1ea1o v\u0103n h\u00f3a d\u1eef li\u1ec7u, khuy\u1ebfn kh\u00edch nh\u1eefng ng\u01b0\u1eddi ra quy\u1ebft \u0111\u1ecbnh s\u1eed d\u1ee5ng nh\u1eefng hi\u1ec3u bi\u1ebft t\u1eeb big data thay v\u00ec d\u1ef1a v\u00e0o tr\u1ef1c gi\u00e1c.<\/p>\n\n\n\n

<\/a>Danh s\u00e1ch h\u00e0nh \u0111\u1ed9ng cho doanh nghi\u1ec7p<\/strong><\/h3>\n\n\n\n

<\/a>Giai \u0111o\u1ea1n 1: X\u00e1c \u0111\u1ecbnh m\u1ee5c ti\u00eau v\u00e0 chi\u1ebfn l\u01b0\u1ee3c<\/strong><\/h4>\n\n\n\n
    \n
  1. X\u00e1c \u0111\u1ecbnh m\u1ee5c ti\u00eau kinh doanh r\u00f5 r\u00e0ng<\/strong> – X\u00e1c \u0111\u1ecbnh nh\u1eefng quy\u1ebft \u0111\u1ecbnh c\u1ee5 th\u1ec3 c\u1ea7n h\u1ed7 tr\u1ee3 d\u1eef li\u1ec7u<\/li>\n\n\n\n
  2. Ch\u1ecdn c\u1ea5p \u0111\u1ed9 ph\u00e2n t\u00edch ph\u00f9 h\u1ee3p<\/strong> – B\u1eaft \u0111\u1ea7u t\u1eeb m\u00f4 t\u1ea3, ti\u1ebfn t\u1edbi d\u1ef1 b\u00e1o v\u00e0 \u0111\u1ec1 xu\u1ea5t<\/li>\n\n\n\n
  3. \u0110\u00e1nh gi\u00e1 h\u1ea1 t\u1ea7ng d\u1eef li\u1ec7u hi\u1ec7n t\u1ea1i<\/strong> – \u0110\u00e1nh gi\u00e1 ngu\u1ed3n d\u1eef li\u1ec7u v\u00e0 kh\u1ea3 n\u0103ng c\u00f4ng ngh\u1ec7<\/li>\n<\/ol>\n\n\n\n

    <\/a>Giai \u0111o\u1ea1n 2: X\u00e2y d\u1ef1ng n\u1ec1n t\u1ea3ng<\/strong><\/h4>\n\n\n\n
      \n
    1. Tri\u1ec3n khai n\u1ec1n t\u1ea3ng t\u00edch h\u1ee3p d\u1eef li\u1ec7u<\/strong> – T\u1ea1o ngu\u1ed3n s\u1ef1 th\u1eadt duy nh\u1ea5t cho to\u00e0n t\u1ed5 ch\u1ee9c<\/li>\n\n\n\n
    2. Ch\u1ecdn c\u00f4ng c\u1ee5 v\u00e0 \u0111\u1ed1i t\u00e1c ph\u00f9 h\u1ee3p<\/strong> – N\u1ec1n t\u1ea3ng \u0111\u00e1m m\u00e2y, c\u00f4ng c\u1ee5 th\u00f4ng minh kinh doanh, khung h\u1ecdc m\u00e1y<\/li>\n\n\n\n
    3. Thi\u1ebft l\u1eadp khung qu\u1ea3n tr\u1ecb d\u1eef li\u1ec7u<\/strong> – Ch\u00ednh s\u00e1ch v\u1ec1 ch\u1ea5t l\u01b0\u1ee3ng d\u1eef li\u1ec7u, b\u1ea3o m\u1eadt v\u00e0 tu\u00e2n th\u1ee7<\/li>\n<\/ol>\n\n\n\n

      <\/a>Giai \u0111o\u1ea1n 3: Tri\u1ec3n khai v\u00e0 m\u1edf r\u1ed9ng quy m\u00f4<\/strong><\/h4>\n\n\n\n
        \n
      1. B\u1eaft \u0111\u1ea7u v\u1edbi ch\u1ee9ng minh kh\u00e1i ni\u1ec7m<\/strong> – Ch\u1ecdn m\u1ed9t tr\u01b0\u1eddng h\u1ee3p s\u1eed d\u1ee5ng nh\u1ecf \u0111\u1ec3 th\u1eed nghi\u1ec7m v\u00e0 h\u1ecdc h\u1ecfi<\/li>\n\n\n\n
      2. \u0110\u00e0o t\u1ea1o nh\u00f3m v\u00e0 x\u00e2y d\u1ef1ng n\u0103ng l\u1ef1c<\/strong> – \u0110\u00e0o t\u1ea1o nh\u00e2n vi\u00ean hi\u1ec7n c\u00f3 v\u00e0 tuy\u1ec3n d\u1ee5ng chuy\u00ean gia d\u1eef li\u1ec7u<\/li>\n\n\n\n
      3. Theo d\u00f5i ch\u1ec9 s\u1ed1 v\u00e0 t\u1ef7 su\u1ea5t ho\u00e0n v\u1ed1n<\/strong> – Theo d\u00f5i c\u00e1c s\u1ed1 \u0111o nh\u01b0 t\u1ed1c \u0111\u1ed9 quy\u1ebft \u0111\u1ecbnh, t\u00e1c \u0111\u1ed9ng doanh thu, ti\u1ebft ki\u1ec7m chi ph\u00ed<\/li>\n<\/ol>\n\n\n\n

        <\/a>K\u1ebft lu\u1eadn<\/strong><\/h3>\n\n\n\n

        Vi\u1ec7c s\u1eed d\u1ee5ng big data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh kh\u00f4ng c\u00f2n l\u00e0 xa x\u1ec9 m\u00e0 tr\u1edf th\u00e0nh \u0111i\u1ec1u c\u1ea7n thi\u1ebft trong b\u1ed1i c\u1ea3nh c\u1ea1nh tranh hi\u1ec7n t\u1ea1i. T\u1eeb nh\u1eefng t\u00ecnh hu\u1ed1ng nghi\u00ean c\u1ee9u th\u00e0nh c\u00f4ng c\u1ee7a c\u00e1c t\u1eadp \u0111o\u00e0n h\u00e0ng \u0111\u1ea7u, ch\u00fang ta th\u1ea5y r\u00f5 ti\u1ec1m n\u0103ng chuy\u1ec3n \u0111\u1ed5i m\u00e0 ph\u00e2n t\u00edch d\u1eef li\u1ec7u l\u1edbn doanh nghi\u1ec7p mang l\u1ea1i.<\/p>\n\n\n\n

        Th\u00e0nh c\u00f4ng trong h\u00e0nh tr\u00ecnh d\u1eef li\u1ec7u \u0111\u00f2i h\u1ecfi t\u1ea7m nh\u00ecn chi\u1ebfn l\u01b0\u1ee3c, \u0111\u1ea7u t\u01b0 c\u00f4ng ngh\u1ec7 ph\u00f9 h\u1ee3p v\u00e0 cam k\u1ebft c\u1ee7a t\u1ed5 ch\u1ee9c. Nh\u1eefng doanh nghi\u1ec7p b\u1eaft \u0111\u1ea7u h\u00e0nh tr\u00ecnh n\u00e0y s\u1edbm s\u1ebd c\u00f3 l\u1ee3i th\u1ebf c\u1ea1nh tranh b\u1ec1n v\u1eefng trong th\u1eddi \u0111\u1ea1i chuy\u1ec3n \u0111\u1ed5i s\u1ed1.<\/p>\n\n\n\n

        V\u1edbi tinh th\u1ea7n lu\u00f4n h\u1ecdc h\u1ecfi, c\u1ea3i ti\u1ebfn trong l\u0129nh v\u1ef1c ti\u1ebfp th\u1ecb s\u1ed1 v\u00e0 gi\u1ea3i ph\u00e1p c\u00f4ng ngh\u1ec7 (Martech), Reputyze Asia<\/strong> cam k\u1ebft \u0111\u1ed3ng h\u00e0nh c\u00f9ng c\u00e1c t\u1ed5 ch\u1ee9c trong h\u00e0nh tr\u00ecnh n\u00e0y. Reputyze Asia<\/strong> cung c\u1ea5p gi\u1ea3i ph\u00e1p to\u00e0n di\u1ec7n, \u1ee9ng d\u1ee5ng c\u00f4ng ngh\u1ec7 AI<\/strong> ti\u00ean ti\u1ebfn v\u00e0 t\u00edch h\u1ee3p truy\u1ec1n th\u00f4ng \u0111a k\u00eanh t\u1eeb ho\u1ea1ch \u0111\u1ecbnh \u0111\u1ebfn th\u1ef1c thi, k\u1ebft h\u1ee3p c\u00f4ng ngh\u1ec7 v\u00e0 s\u00e1ng t\u1ea1o, mang l\u1ea1i hi\u1ec7u qu\u1ea3 v\u1edbi tinh th\u1ea7n t\u1eadn t\u00e2m v\u00e0 chi ph\u00ed h\u1ee3p l\u00fd.<\/p>\n\n\n\n

        <\/p>\n","protected":false},"excerpt":{"rendered":"

        Trong m\u00f4i tr\u01b0\u1eddng kinh doanh s\u1ed1 h\u00f3a hi\u1ec7n t\u1ea1i, vi\u1ec7c s\u1eed d\u1ee5ng big data \u0111\u1ec3 ra quy\u1ebft \u0111\u1ecbnh kinh doanh kh\u00f4ng c\u00f2n l\u00e0 l\u1ef1a ch\u1ecdn m\u00e0 tr\u1edf th\u00e0nh y\u1ebfu t\u1ed1 quy\u1ebft \u0111\u1ecbnh s\u1ef1 t\u1ed3n t\u1ea1i. T\u1eeb nh\u1eefng t\u1eadp \u0111o\u00e0n to\u00e0n c\u1ea7u nh\u01b0 Netflix, Amazon \u0111\u1ebfn c\u00e1c doanh nghi\u1ec7p v\u1eeba v\u00e0 nh\u1ecf, vi\u1ec7c \u00e1p d\u1ee5ng ph\u00e2n […]<\/p>\n","protected":false},"author":1,"featured_media":21441,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[301,299],"tags":[],"class_list":["post-19131","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-marketing-and-operation-digitalization-vi","category-strategic-consulting-vi"],"acf":[],"yoast_head":"\nBig Data Ra Quy\u1ebft \u0110\u1ecbnh: T\u1eeb Ph\u00e2n T\u00edch \u0110\u1ebfn H\u00e0nh \u0110\u1ed9ng<\/title>\n<meta name=\"description\" content=\"T\u1ed1i \u01b0u h\u00f3a Big Data ra quy\u1ebft \u0111\u1ecbnh kinh doanh qua 3 c\u1ea5p \u0111\u1ed9 ph\u00e2n t\u00edch & case study th\u1ef1c t\u1ebf. 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