• >
  • >
  • >
  • >
  • >

实例探究.

添加案例

我们的案例数据库覆盖了全球物联网生态系统中的 22,657 家解决方案供应商。
您可以通过筛选条件进行快速浏览。

Download Excel
筛选条件
  • (6,653)
    • (2,601)
    • (2,127)
    • (945)
    • (676)
    • (312)
    • (229)
    • (194)
    • (163)
    • (141)
    • (135)
    • (114)
    • (100)
    • (53)
    • (28)
    • (2)
    • 查看全部
  • (5,642)
    • (2,469)
    • (1,692)
    • (826)
    • (497)
    • (441)
    • (353)
    • (84)
    • (1)
    • 查看全部
  • (5,571)
    • (2,178)
    • (1,766)
    • (643)
    • (425)
    • (422)
    • (416)
    • (291)
    • (225)
    • (213)
    • (213)
    • (48)
    • (8)
    • (8)
    • (7)
    • (1)
    • 查看全部
  • (5,247)
    • (2,179)
    • (1,715)
    • (1,321)
    • (250)
    • (10)
    • 查看全部
  • (2,881)
    • (1,448)
    • (574)
    • (376)
    • (210)
    • (183)
    • (174)
    • (158)
    • (154)
    • (152)
    • (80)
    • 查看全部
  • 查看全部 15 技术
  • (1,985)
  • (1,985)
  • (1,915)
  • (1,679)
  • (1,629)
  • (1,613)
  • (1,446)
  • (1,247)
  • (1,221)
  • (1,179)
  • (1,156)
  • (1,097)
  • (1,075)
  • (979)
  • (847)
  • (824)
  • (735)
  • (608)
  • (593)
  • (493)
  • (482)
  • (387)
  • (343)
  • (342)
  • (340)
  • (271)
  • (247)
  • (211)
  • (203)
  • (201)
  • (181)
  • (179)
  • (148)
  • (142)
  • (117)
  • (87)
  • (83)
  • (71)
  • (65)
  • (58)
  • (24)
  • (9)
  • 查看全部 42 行业
  • (8,728)
  • (4,742)
  • (3,618)
  • (3,233)
  • (2,947)
  • (1,692)
  • (1,498)
  • (1,332)
  • (1,315)
  • (1,032)
  • (892)
  • (362)
  • (337)
  • 查看全部 13 功能区
  • (3,304)
  • (2,787)
  • (2,603)
  • (2,006)
  • (1,630)
  • (1,625)
  • (1,561)
  • (1,369)
  • (1,043)
  • (732)
  • (725)
  • (711)
  • (690)
  • (647)
  • (601)
  • (574)
  • (521)
  • (486)
  • (472)
  • (470)
  • (434)
  • (416)
  • (410)
  • (364)
  • (356)
  • (352)
  • (340)
  • (315)
  • (305)
  • (302)
  • (271)
  • (257)
  • (252)
  • (242)
  • (237)
  • (235)
  • (229)
  • (229)
  • (222)
  • (214)
  • (188)
  • (183)
  • (176)
  • (167)
  • (147)
  • (145)
  • (143)
  • (142)
  • (142)
  • (139)
  • (137)
  • (133)
  • (130)
  • (121)
  • (120)
  • (119)
  • (119)
  • (119)
  • (115)
  • (105)
  • (99)
  • (98)
  • (96)
  • (96)
  • (91)
  • (90)
  • (86)
  • (85)
  • (84)
  • (83)
  • (81)
  • (80)
  • (69)
  • (67)
  • (65)
  • (62)
  • (62)
  • (61)
  • (58)
  • (58)
  • (55)
  • (53)
  • (53)
  • (50)
  • (49)
  • (48)
  • (44)
  • (41)
  • (40)
  • (40)
  • (38)
  • (37)
  • (33)
  • (33)
  • (31)
  • (29)
  • (29)
  • (28)
  • (27)
  • (23)
  • (22)
  • (22)
  • (19)
  • (19)
  • (18)
  • (18)
  • (17)
  • (17)
  • (17)
  • (17)
  • (15)
  • (13)
  • (12)
  • (12)
  • (12)
  • (11)
  • (11)
  • (8)
  • (6)
  • (5)
  • (4)
  • (4)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • 查看全部 129 用例
  • (13,581)
  • (5,296)
  • (4,272)
  • (3,520)
  • (2,856)
  • (1,288)
  • (1,239)
  • (360)
  • (10)
  • 查看全部 9 服务
  • (504)
  • (432)
  • (416)
  • (382)
  • (301)
  • (291)
  • (246)
  • (240)
  • (222)
  • (218)
  • (211)
  • (204)
  • (180)
  • (167)
  • (143)
  • (139)
  • (132)
  • (131)
  • (121)
  • (116)
  • (115)
  • (113)
  • (112)
  • (109)
  • (107)
  • (107)
  • (107)
  • (104)
  • (92)
  • (91)
  • (89)
  • (88)
  • (86)
  • (85)
  • (85)
  • (84)
  • (80)
  • (78)
  • (77)
  • (75)
  • (75)
  • (73)
  • (72)
  • (72)
  • (72)
  • (69)
  • (69)
  • (68)
  • (67)
  • (67)
  • (67)
  • (65)
  • (65)
  • (64)
  • (64)
  • (62)
  • (60)
  • (58)
  • (58)
  • (56)
  • (55)
  • (55)
  • (54)
  • (54)
  • (54)
  • (53)
  • (53)
  • (53)
  • (53)
  • (53)
  • (52)
  • (52)
  • (52)
  • (52)
  • (51)
  • (51)
  • (51)
  • (50)
  • (50)
  • (48)
  • (48)
  • (47)
  • (47)
  • (46)
  • (46)
  • (46)
  • (45)
  • (43)
  • (43)
  • (43)
  • (42)
  • (42)
  • (41)
  • (41)
  • (40)
  • (40)
  • (40)
  • (40)
  • (39)
  • (38)
  • (38)
  • (37)
  • (36)
  • (36)
  • (35)
  • (35)
  • (34)
  • (33)
  • (33)
  • (32)
  • (32)
  • (32)
  • (32)
  • (32)
  • (32)
  • (31)
  • (31)
  • (31)
  • (31)
  • (31)
  • (31)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (30)
  • (29)
  • (29)
  • (29)
  • (28)
  • (28)
  • (28)
  • (28)
  • (27)
  • (27)
  • (27)
  • (26)
  • (26)
  • (26)
  • (26)
  • (25)
  • (25)
  • (25)
  • (25)
  • (25)
  • (25)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (24)
  • (23)
  • (23)
  • (23)
  • (23)
  • (23)
  • (23)
  • (22)
  • (22)
  • (22)
  • (21)
  • (21)
  • (21)
  • (21)
  • (21)
  • (20)
  • (20)
  • (20)
  • (20)
  • (20)
  • (19)
  • (19)
  • (19)
  • (19)
  • (19)
  • (19)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (18)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (17)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (16)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (15)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (14)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (13)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (12)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (11)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (10)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (9)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (8)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (7)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (6)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (5)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (4)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (3)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (2)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • (1)
  • 查看全部 1083 供应商
Selected Filters
22,657 实例探究
排序方式:
Assuring High-Speed Availability to Government Resources During COVID-19 - NETSCOUT Industrial IoT Case Study
确保 COVID-19 期间政府资源的高速可用性
由于在 COVID-19 疫情期间突然转向远程工作,该政府机构面临着网络带宽消耗大幅增加的问题。这给他们现有的 VPN 容量和互联网带宽带来了压力。除此之外,该机构还负责支持一项新的临时失业计划,该计划旨在为因疫情而失业的居民提供经济援助。推出一个专门用于访问这些福利的新网站预计将进一步加重该机构本已紧张的互联网资源负担。该机构的 IT 团队缺乏必要的可见性来确定额外的 VPN 和互联网容量的运行情况。
下载PDF
Achieving Successful Cloud Migrations With NETSCOUT - NETSCOUT Industrial IoT Case Study
利用 NETSCOUT 成功实现云迁移
该银行在大型机环境中运行一些面向客户和后台办公的应用程序。但是,这种方法带来的运营费用越来越高,不容忽视。该银行决定重构大型机上的现有应用程序,并将其迁移到本地虚拟化数据中心环境。这个过程涉及 Webtiered、中间件和多层技术,这些技术将作为生产准备,在最终迁移到云之前监控和稳定这些应用程序。在此过程中,网络运营团队遇到了一个障碍:现有大型机应用程序的性能存在可见性问题,他们的开源和供应商应用程序监控工具无法解决这些问题。
下载PDF
Consolidating Financial Data Center Operations, Addressing Remote Workforce Transitions With Smart Visibility - NETSCOUT Industrial IoT Case Study
整合金融数据中心运营,通过智能可视性解决远程劳动力转型问题
该金融集团正在进行长期的数据中心转型、网络升级、思科 ACI 和移动应用程序部署。近期向远程办公的过渡对 VPN 和 VDI 环境造成了负担,带宽升级只会导致延迟。IT 团队的任务是将多个生产级数据中心整合到两个本地公司位置,升级到思科® 应用程序中心基础设施 (ACI) 软件定义网络 (SDN) 架构和 40G 网络速度,并部署新的移动应用程序。
下载PDF
Leading U.S. Bank Assures User Experience and VPN Performance During Critical Times - NETSCOUT Industrial IoT Case Study
美国领先银行确保关键时刻的用户体验和 VPN 性能
当 COVID-19 疫情迫使管理层指示员工在家办公时,该银行面临着重大挑战。这导致该银行虚拟专用网络 (VPN) 的使用量达到前所未有的水平,给 IT 团队带来了可见性和监控方面的挑战。随着越来越多的员工和客户开始依赖数字平台进行金融交易,该银行的 IT 团队必须确保提供一致、高质量的服务。该银行的财务生存与其成功处理网上银行、账单支付服务和其他金融交易的能力变得更加紧密,这些交易现在对有财务需求的客户至关重要。
下载PDF
Leading Financial Ensures Quality Experience for Users of Virtual Desktop Infrastructure Over VPNs - NETSCOUT Industrial IoT Case Study
Leading Financial 确保通过 VPN 为虚拟桌面基础架构用户提供优质体验
该银行的 IT 团队长期以来一直在监控其虚拟专用网络 (VPN) 的整体性能。VPN 是 IT 交付基础设施的重要组成部分——有时,银行近一半的员工使用远程网络从家庭办公室或移动设备开展业务。数千名授权战略合作伙伴和承包商也在访问这些相同的服务,这给该环境带来了额外的流量。对于 IT 团队来说,VPN 性能管理并不像确保有足够的带宽覆盖那么简单。VPN 还支持基于 Citrix 技术的虚拟桌面基础设施 (VDI),该基础设施因用户增加而显示出性能压力。远程用户报告称,他们经常遇到虚拟桌面屏幕冻结和超时的情况,相关问题总结在转发给服务台的故障单中。
下载PDF
Global Contact Center Stops Dropped Calls with nGeniusONE - NETSCOUT Industrial IoT Case Study
全球联络中心利用 nGeniusONE 杜绝掉线
该公司的呼叫中心代理开始遇到语音通话中断的问题,导致客户服务交流在完成之前被中断。无论通话状态如何,不同代理的通话时长各不相同,客户交流在 30 分钟后突然中断。除了处理客户服务问题和因通话中断而无法履行职责的沮丧的呼叫中心代理之外,该公司无法始终如一地满足他们签约服务的公司在语音性能方面协商的服务水平协议阈值。IT 团队使用的现有第三方工具无法以成功故障排除所需的方式查看呼叫流架构。
下载PDF
Nykaa - Handling 1.6 Million Unique Conversations in Just the First 30 Days of Using Verloop.io - Verloop.io Industrial IoT Case Study
Nykaa - Handling 1.6 Million Unique Conversations in Just the First 30 Days of Using Verloop.io
Nykaa, a beauty and fashion startup, was facing challenges in handling customer support. The company was using emails and query forms to follow up with customers during conflict resolution. This process was time-consuming and inefficient, with customer service executives spending over 32,000 staff hours a month answering and replying to support queries. Nykaa wanted to automate parts of customer support that were automatable, to free up time to focus on other important aspects of customer experience.
下载PDF
MediBuddy Increased Its CSAT To Over 90% After Moving To Verloop.Io's Chatbot - Verloop.io Industrial IoT Case Study
MediBuddy Increased Its CSAT To Over 90% After Moving To Verloop.Io's Chatbot
MediBuddy, a healthcare service provider, was struggling to manage the influx of customer queries across various service verticals such as health checkups, medicines, consultations, lab tests, dental care, hospitalization, and genome studies. The company was relying on traditional communication channels like email and phone calls, and a team of over 250 service representatives. However, the team was unable to handle the volume of queries, especially the 800+ concurrent questions in real-time. The challenge was to automate the customer service process without compromising on customer satisfaction.
下载PDF
Accelerating Media Categorization via IPTC Taxonomy at Ansa - Expert.ai Industrial IoT Case Study
Accelerating Media Categorization via IPTC Taxonomy at Ansa
Ansa, a leading press agency, was struggling with the heavy volume of news and the speed at which information circulates. Accurate and timely content sorting and categorization were of the utmost importance. The only way to keep up with current events and satisfy the needs of internal organizations was to have a classification system that is fast, uniform, complete and accurate (according to IPTC international standards). Ansa wanted a tool to improve information management, enabling them to better archive daily news and enhance the image search in their online database.
下载PDF
Community College of Denver Enrolling in Digital Engagement for Efficiency and Better Service - LivePerson Industrial IoT Case Study
Community College of Denver Enrolling in Digital Engagement for Efficiency and Better Service
Community College of Denver (CCD) faced a significant increase in enrollment, which put a strain on their existing systems and programs. The administrative functions, particularly the Call Center, faced unprecedented pressure. The college needed a technology solution that would enable the Call Center to handle a higher volume of support calls without increasing resources. They realized that live chat could bring the economies of scale they were looking for. They also needed to improve their website architecture to improve students’ ability to self-serve.
下载PDF
Beau-coup Success Story - LivePerson Industrial IoT Case Study
Beau-coup Success Story
Beau-coup, a leader in the online favors and gifts industry, was facing challenges with its customer service. The company prides itself on offering exceptional customer service, but technical issues with their previous chat provider were causing interruptions and a frustrating experience for both customers and service reps. The company was dropping a lot of chats due to connection issues, and they were missing 20 to 30 chats a day. They also lacked information about how their customers came to their site, what search terms they used, and if the resulting chat was proactive or reactive. There was no method to the madness in how their chat invitations were fired, and they experienced very poor acceptance rates as a result.
下载PDF
Lifeline Australia: Providing Help and Resources to People in Crisis - LivePerson Industrial IoT Case Study
Lifeline Australia: Providing Help and Resources to People in Crisis
Lifeline Australia, a crisis counseling and referral service, wanted to add a live chat channel to its phone counseling services to reach a younger demographic that is less comfortable with calling in by phone. The organization initially tried a rudimentary live chat solution and an internally-developed application, but found these solutions lacking in several ways. The offshore service had slow connectivity and full-time support was difficult to obtain. The in-house system was not built with the right technology skills and had mistakes in the underlying architecture of the platform.
下载PDF
Engaging with Live Chat to Deliver Compassion and Hope - LivePerson Industrial IoT Case Study
Engaging with Live Chat to Deliver Compassion and Hope
SAHAR, a nonprofit organization based in Israel, was facing the challenge of enabling real-time digital engagement with distressed individuals. They needed to offer mobile chat and leverage data insights to improve chat and information effectiveness. The organization was seeking to connect its network of approximately 100 volunteers with those seeking assistance, and they were conducting approximately 1,000 live chat sessions each month. They needed to add mobile live chat, which was becoming increasingly important for their Arabic-speaking audience who primarily used mobile devices.
下载PDF
Michigan Legal Help Program Assisting Citizens with Legal Matters with Digital Engagement - LivePerson Industrial IoT Case Study
Michigan Legal Help Program Assisting Citizens with Legal Matters with Digital Engagement
The Michigan Legal Help Program was established to provide legal information for citizens who find themselves in the civil court system without a lawyer. The program offers a variety of resources, including informational content, referrals to legal services organizations, and automated online legal forms and documents. However, the complexity of these resources and the variables in people’s situations often led to questions and difficulties in navigation. The five-person staff of the Michigan Legal Help Program did not have the capacity to field inquiries from the public. The organization needed a cost-effective channel to answer legal information questions, help visitors navigate the tools available, and ensure that volunteer agents could log into the platform from anywhere.
下载PDF
The Sun Shines for Sunweb Holidays as Personalised Content Drives Online Conversions and Sales - LivePerson Industrial IoT Case Study
The Sun Shines for Sunweb Holidays as Personalised Content Drives Online Conversions and Sales
Sunweb Holidays, a popular travel holiday company, was facing challenges in the increasingly competitive online travel industry. The cost of targeting customers had risen significantly, with 50% of the company's marketing budget being spent on Google Ad Words alone, which was not driving the required return on investment. The company also suffered from limited IT agility, with a small local team only able to control the site content via a Content Management System that offered limited personalisation and reporting capabilities. Sunweb Holidays wanted to capitalise on the growing number of visitors to its website and convert them into sales, rather than just focusing on driving traffic to the website.
下载PDF
Engaging with Students to Build an Affordable Education - LivePerson Industrial IoT Case Study
Engaging with Students to Build an Affordable Education
StraighterLine, a provider of self-paced college courses, was looking for a way to engage with students and prospective students in a familiar channel. They wanted to provide engagement options for mobile users and improve conversion and customer satisfaction rates. The company had a live chat solution from LivePerson, but it was not being used to its full potential. They were completing around 100 chat conversations per month, with inquiries fielded on an ad-hoc basis by members of the telephone call center team. They realized they were missing substantial opportunities and needed to optimize their live chat.
下载PDF
The Rubber Meets the Road with Live Engagement and Predictive Intelligent Targeting - LivePerson Industrial IoT Case Study
The Rubber Meets the Road with Live Engagement and Predictive Intelligent Targeting
Discount Tire Direct, a subsidiary of Discount Tire Company, was facing challenges in delivering an outstanding digital customer experience and increasing e-commerce conversion rates. The company wanted to maintain high in-store customer satisfaction rates via digital channels. They had experimented with an on-premise live chat solution when they initially added e-commerce to their website in 2003, but it was simply a passive button called Click to Talk and was soon removed. In late 2011, they decided to revisit the use of live chat deployment on their website to rethink how they engaged customers on their website, seeking to make it the best buying experience possible for their customers.
下载PDF
David’s Bridal uses Conversational Commerce to help customers plan the event of their dreams with ease - LivePerson Industrial IoT Case Study
David’s Bridal uses Conversational Commerce to help customers plan the event of their dreams with ease
David’s Bridal, an international wedding dress destination, was facing a unique challenge. When shopping for wedding dresses, 50% of brides were calling stores to book appointments. If the stores were closed or sales agents couldn’t get to the phone in time, they were losing business. Agents sometimes had to step away from the brides they were helping to answer the phone, creating a poor experience for in-store customers. The company wanted to be available for customers 24/7 without having to add additional staff. They believed AI and automation could help and began looking at different chatbot providers.
下载PDF
GPC streamlines Clean Air Act Title V record keeping using Locus Platform - Locus Technologies Industrial IoT Case Study
GPC streamlines Clean Air Act Title V record keeping using Locus Platform
Grain Processing Corporation (GPC), a leading U.S. manufacturer of corn-based products, was struggling with an inefficient system for tracking and reporting compliance parameters for the Clean Air Act Title V. They were using SharePoint to enter over 20 daily logs at two facilities, with several questions per log and per shift, throughout a two-shift day. Their system lacked reporting or notifications, and there was no consistency between the forms in the system. The EHS manager would spend weeks searching through information to obtain the data needed for GPC’s annual Title V certification report and other reporting needs.
下载PDF
Environmental Data Flow Six Sigma Process Improvement Savings Overview - Locus Technologies Industrial IoT Case Study
Environmental Data Flow Six Sigma Process Improvement Savings Overview
The Environmental Data Flow Six Sigma improvement project was initiated in September 2009, driven by a cost-benefit analysis on data validation conducted earlier that year. The project aimed to improve LANL’s environmental data processing following receipt from the analytical laboratories. The project identified thirty-three process improvements, broken into seven subgroups. However, six of the improvements were never implemented, and two of the seven improvement subgroups did not lead to any cost savings but did lead to more accurate sample planning and increased transparency into the system.
下载PDF
RXR Realty: Making sustainability part of the fabric of every business decision - Measurabl Industrial IoT Case Study
RXR Realty: Making sustainability part of the fabric of every business decision
RXR Realty, a leading real estate owner, investor, operator, and developer, sought to make sustainability a core part of every business decision. However, their previous ESG (environmental, social, governance) solution was insufficient to keep internal and external stakeholders informed of its portfolio’s ESG performance or track progress toward any of its sustainability goals. The legacy process involved a consultant collecting data annually, with no involvement for the rest of the year. RXR needed a purpose-built ESG portal that could continuously collect and track environmental data, ensure the information was complete and accurate, and provide a comprehensive view of its buildings’ ESG performance as well as highlight areas of improvement.
下载PDF
Nuveen Optimizes Building Performance with Fast Payback Thanks to Measurabl - Measurabl Industrial IoT Case Study
Nuveen Optimizes Building Performance with Fast Payback Thanks to Measurabl
Nuveen, a global real estate investment manager, was looking for ways to further optimize the performance of its properties, particularly 99 High Street in Boston, which had already undergone significant efficiency improvements. The challenge was to find a solution that could provide real-time performance monitoring and optimization without requiring a large upfront investment. The solution also needed to be able to centralize data and provide actionable insights for further improvements. The onset of the COVID-19 pandemic further emphasized the need for such a solution, as it led to an increased focus on ESG performance from both tenants and investors.
下载PDF
Anadarko Raises Deepwater Drilling Hazard Assessments to Ensure SEMS Compliance, Enable Sustainable Growth - Sphera Industrial IoT Case Study
Anadarko Raises Deepwater Drilling Hazard Assessments to Ensure SEMS Compliance, Enable Sustainable Growth
Anadarko Petroleum Corporation, one of the world's largest independent oil and natural gas exploration and production companies, was faced with the challenge of complying with new U.S. regulatory requirements to support Safety and Environmental Management System (SEMS). The company needed to streamline its drilling permit application process and simplify the management of change. Additionally, Anadarko was faced with the challenge of minimizing operational disruption and delays due to the replacement of experienced staff. The company was deeply affected by the tragic Deepwater Horizon events in 2010, which led to a six-month moratorium on deepwater drilling operations across the Gulf of Mexico and the mandatory adoption of SEMS by federal authorities.
下载PDF
Oil & Gas Industry Excellence Award Winner - Chevron - Sphera Industrial IoT Case Study
Oil & Gas Industry Excellence Award Winner - Chevron
Chevron, a global energy company, has been committed to managing greenhouse gases (GHGs) in its operations. With the proliferation of GHG regulations worldwide, timely and accurate emissions reporting has become essential for the company. Many new GHG protocols include cap-and-trade or carbon pricing requirements, making GHG emissions data financially significant and subject to stringent standards associated with accounting and third-party auditing. Chevron, with its 55 business units and 10,000 sites worldwide, required a standardized system for tracking and reporting GHG emissions data.
下载PDF
Oil & Gas Industry Excellence Award Winner - CITGO - Sphera Industrial IoT Case Study
Oil & Gas Industry Excellence Award Winner - CITGO
CITGO, a multi-faceted refiner and marketer of transportation fuels, lubricants, petrochemicals and other petroleum-based products, is dedicated to the safety and health of its employees and the protection of the environment across its operations. The company is subject to numerous local, state and federal environmental and safety regulations from agencies like the Occupational Safety and Health Administration (OSHA), and the Environmental Protection Agency (EPA). CITGO continually analyzes, maintains, and improves its business processes to address compliance issues across the corporation. The company was looking for tools that would further strengthen its work processes and enhance performance. CITGO’s most recent project has been the design of an innovative Management of Change process powered by the IMPACT.
下载PDF
Chemical Industry Excellence Award Winner - Lanxess - Sphera Industrial IoT Case Study
Chemical Industry Excellence Award Winner - Lanxess
LANXESS Corporation’s Health, Safety, Environment and Quality (HSEQ) group supports global efforts to meet the highest safety standards covering more than 20,000 products in 52 production sites. The Pittsburgh HSEQ group is responsible for keeping all safety data sheets (SDS) current and compliant for 4,000 products in the United States, as well as for a few thousand more products produced in Canada and distributed in Mexico. They work together with other HSEQ groups in the EU, Brazil, China and Japan to author GHS compliant Safety Data Sheets in 39 different languages for destination countries around the world. The United States Occupational Safety & Health Administration (OSHA) has mandated that companies implement the Globally Harmonized System of Classification and Labelling of Chemicals (GHS).
下载PDF
Life Sciences Industry Excellence Award Winner - Siemens - Sphera Industrial IoT Case Study
Life Sciences Industry Excellence Award Winner - Siemens
Siemens, a global Fortune 500 company, faced a major business challenge due to the confluence of two major regulatory changes becoming effective on the same date. The U.S. OSHA adoption of the United Nations Globally Harmonized System of Classification and Labeling of Chemicals (GHS) framework as its standard for hazard communication combined with the enforcement of the EU GHS regulation on mixtures meant Siemens had to reassess and reclassify over thirty-five hundred products by the June 1, 2015 regulatory deadline. Non-compliance would have created an extreme business disruption since Siemens would have been unable to sell its products in several markets. The GHS implementation project formally began in 2014 and leveraged software, content and expertise from Sphera to help them facilitate the transition.
下载PDF
Enterprise-wide visibility at BASF - Sphera Industrial IoT Case Study
Enterprise-wide visibility at BASF
BASF, the world’s largest chemical producer, was using decentralized tools like Word and Excel to document process hazards. As a result, documentation was inconsistent and data extraction was cumbersome. Gathering strategic insights required experienced staff to review long, 300-page reports. The company had limited visibility of risk across the global organization, which was a significant challenge.
下载PDF
Mahindra’s Decarbonization Pathway using the Science Based Targets (SBTs) - Sphera Industrial IoT Case Study
Mahindra’s Decarbonization Pathway using the Science Based Targets (SBTs)
Mahindra & Mahindra Ltd. (M&M Ltd. or Mahindra), a mobility products and farm solutions provider, is the flagship company of the Mahindra Group, an Indian multinational federation of companies operating in over 100 countries around the globe with a presence in multiple industries. In order to take action on combating climate-related risk and contribute to the ambitious emissions reduction target set by the Group, M&M Ltd. decided to set a robust Science Based Target (SBT) in line with the climate goal from the Paris Agreement. During the target development process the company assessed and set science-based greenhouse gas (GHG) reduction targets, considering their direct (scope 1) and indirect (scope 2 & 3) emissions. Mahindra evaluated their emissions based on the Science Based Target Initiative (SBTi) methodology, using primary collected data and data from Sphera’s LCA databases GaBi, to get robust insights for their entire value chain.
下载PDF
Sustainability at Lumileds - Sphera Industrial IoT Case Study
Sustainability at Lumileds
Lumileds, a company committed to a culture of quality, responsibility, and sustainability, was facing a challenge. Their custom-built, end-of-life software for the monthly data collection for health & safety and quarterly data collection for environmental data was no longer adequate. They needed to replace it with a state-of-the-art sustainability solution to track, monitor, and report against their sustainability targets. The new solution needed to be easy-to-use and intuitive for data collectors and data admins. Furthermore, the implementation had to be completed before the next reporting window.
下载PDF

联系我们

欢迎与我们交流!
* Required
* Required
* Required
* Invalid email address
提交此表单,即表示您同意 Asia Growth Partners 可以与您联系并分享洞察和营销信息。
不,谢谢,我不想收到来自 Asia Growth Partners 的任何营销电子邮件。
提交

感谢您的信息!
我们会很快与你取得联系。