WEBVTT 1 00:00:00.388 --> 00:00:02.971 (upbeat music) 2 00:00:05.460 --> 00:00:07.560 Companies need to continue transforming 3 00:00:07.560 --> 00:00:10.470 and innovating while managing budget restrictions 4 00:00:10.470 --> 00:00:12.450 and turmoil in their industries. 5 00:00:12.450 --> 00:00:15.305 Those that truly grasp and leverage data create 6 00:00:15.305 --> 00:00:18.900 more value for customers, employees, and shareholders, 7 00:00:18.900 --> 00:00:21.090 and build stronger resilience. 8 00:00:21.090 --> 00:00:24.210 From revenue growth to enterprise value, 9 00:00:24.210 --> 00:00:26.790 shorter lead times or ESG score, 10 00:00:26.790 --> 00:00:28.860 we have seen that data-mature companies 11 00:00:28.860 --> 00:00:32.040 can achieve two to three times higher performance. 12 00:00:32.040 --> 00:00:34.470 So how do these data champions do it? 13 00:00:34.470 --> 00:00:36.900 Our latest study, commissioned by Google, 14 00:00:36.900 --> 00:00:40.380 surveyed 700 global companies across all sectors 15 00:00:40.380 --> 00:00:43.320 and 21 countries to provide more clarity. 16 00:00:43.320 --> 00:00:45.750 We identified five connected traits. 17 00:00:45.750 --> 00:00:49.170 First, CEOs of data champions are much more likely 18 00:00:49.170 --> 00:00:51.930 to recognize data as a strategic asset 19 00:00:51.930 --> 00:00:53.730 than CEOs of laggards. 20 00:00:53.730 --> 00:00:55.380 These leaders are instrumental 21 00:00:55.380 --> 00:00:59.520 in helping to translate complexity into a clear action plan. 22 00:00:59.520 --> 00:01:03.270 Second, data champions pull the plug on pilots 23 00:01:03.270 --> 00:01:05.190 that are not living up to expectations 24 00:01:05.190 --> 00:01:08.490 and double down on those that drive real value. 25 00:01:08.490 --> 00:01:11.790 These champions invest 2.8 times more than laggards 26 00:01:11.790 --> 00:01:14.460 into scalable data-driven use cases 27 00:01:14.460 --> 00:01:16.320 that drive business outcomes, 28 00:01:16.320 --> 00:01:19.920 and also into technology enablers such as cloud. 29 00:01:19.920 --> 00:01:21.930 Third, success depends on starting 30 00:01:21.930 --> 00:01:24.600 with clean, high quality data. 31 00:01:24.600 --> 00:01:27.360 Leading companies have removed data silos, 32 00:01:27.360 --> 00:01:30.330 improved the reusability of data objects, 33 00:01:30.330 --> 00:01:34.050 and enforced strict governance to improve data quality. 34 00:01:34.050 --> 00:01:38.190 Fourth, champions equip their front line teams with AI, 35 00:01:38.190 --> 00:01:40.530 encouraging them to experiment. 36 00:01:40.530 --> 00:01:43.650 They're also committed to using AI responsibly. 37 00:01:43.650 --> 00:01:46.170 Overall, we found that data champions 38 00:01:46.170 --> 00:01:48.600 have about three times more of their workforce 39 00:01:48.600 --> 00:01:51.300 in roles related to data and AI. 40 00:01:51.300 --> 00:01:54.450 Finally, data champions expect third parties 41 00:01:54.450 --> 00:01:57.690 to be much more than providers of IT and technology. 42 00:01:57.690 --> 00:01:59.460 They seek transformation partners 43 00:01:59.460 --> 00:02:02.880 that can help them discover disruptive solutions 44 00:02:02.880 --> 00:02:04.710 and scaled data offerings. 45 00:02:04.710 --> 00:02:07.920 Every company, regardless of its current maturity level 46 00:02:07.920 --> 00:02:10.887 or industry, can become a resilient data champion. 47 00:02:10.887 --> 00:02:13.470 (upbeat music)