WEBVTT 00:00:00.000 --> 00:00:03.310 align:middle line:90% 00:00:03.310 --> 00:00:05.260 align:middle line:84% As a human resources leader, you're 00:00:05.260 --> 00:00:07.750 align:middle line:84% eager to discover insights and make decisions 00:00:07.750 --> 00:00:09.130 align:middle line:90% faster than ever. 00:00:09.130 --> 00:00:11.950 align:middle line:84% Whether you're analyzing budgets, retention, 00:00:11.950 --> 00:00:15.430 align:middle line:84% or recruiting effectiveness timely and trustworthy data 00:00:15.430 --> 00:00:18.280 align:middle line:90% is vital for your success. 00:00:18.280 --> 00:00:21.160 align:middle line:84% By taking more control over your HR data, 00:00:21.160 --> 00:00:23.440 align:middle line:84% you can be more confident in your analysis 00:00:23.440 --> 00:00:26.920 align:middle line:84% and more effective in influencing business decisions. 00:00:26.920 --> 00:00:29.350 align:middle line:84% Let's explore four crucial areas, 00:00:29.350 --> 00:00:32.770 align:middle line:84% controlling your own sharable and secure data workspace, 00:00:32.770 --> 00:00:35.170 align:middle line:84% capturing up-to-date data, trusting 00:00:35.170 --> 00:00:37.570 align:middle line:84% the data across the work group, and adding 00:00:37.570 --> 00:00:39.970 align:middle line:90% computing power as needed. 00:00:39.970 --> 00:00:42.880 align:middle line:84% First, set up a secure and shareable workspace 00:00:42.880 --> 00:00:46.690 align:middle line:84% in the Oracle Cloud ensuring sensitive HR recruiting data 00:00:46.690 --> 00:00:50.140 align:middle line:84% is available only to authorized users. 00:00:50.140 --> 00:00:53.140 align:middle line:84% Start by entering a few simple details in the Oracle 00:00:53.140 --> 00:00:55.940 align:middle line:90% Autonomous Data Warehouse. 00:00:55.940 --> 00:00:59.770 align:middle line:84% Next, upload an in-progress open position spreadsheet 00:00:59.770 --> 00:01:03.070 align:middle line:84% to drive collaboration around a single source of truth, 00:01:03.070 --> 00:01:04.989 align:middle line:84% rather than emailing and reconciling 00:01:04.989 --> 00:01:06.700 align:middle line:90% duplicate spreadsheets. 00:01:06.700 --> 00:01:09.970 align:middle line:84% Review your imported data, save your project in the Oracle 00:01:09.970 --> 00:01:13.000 align:middle line:84% Cloud and you're all set with full control 00:01:13.000 --> 00:01:15.910 align:middle line:84% over your sharable and secure workspace. 00:01:15.910 --> 00:01:18.190 align:middle line:84% Let's add current interview-related information 00:01:18.190 --> 00:01:22.090 align:middle line:84% to our data set from Oracle and non-Oracle sources. 00:01:22.090 --> 00:01:24.460 align:middle line:90% Best of all, its live data. 00:01:24.460 --> 00:01:27.160 align:middle line:84% No waiting for periodic extracts. 00:01:27.160 --> 00:01:29.890 align:middle line:84% Fast importing ensures maximum efficiency, 00:01:29.890 --> 00:01:31.810 align:middle line:90% even with large data sets. 00:01:31.810 --> 00:01:35.110 align:middle line:84% And it's all optimized for quick access later. 00:01:35.110 --> 00:01:36.940 align:middle line:84% Get a clear view of the data flowing 00:01:36.940 --> 00:01:40.240 align:middle line:84% into your analysis with data even joining automatically 00:01:40.240 --> 00:01:41.860 align:middle line:90% from both sources. 00:01:41.860 --> 00:01:44.350 align:middle line:84% With everything in one place, let's enrich 00:01:44.350 --> 00:01:47.170 align:middle line:84% your data set with centralized data transformations 00:01:47.170 --> 00:01:48.640 align:middle line:90% and formulas. 00:01:48.640 --> 00:01:52.120 align:middle line:84% Simply add a calculation column, create an interview sentiment 00:01:52.120 --> 00:01:55.870 align:middle line:84% comparison scoring formula using data from across the data set, 00:01:55.870 --> 00:01:58.660 align:middle line:84% and save your enriched data set to the cloud, 00:01:58.660 --> 00:02:02.470 align:middle line:84% knowing that you're preventing inconsistency and confusion. 00:02:02.470 --> 00:02:05.800 align:middle line:84% Across your work group, all your data sets can be easily shared 00:02:05.800 --> 00:02:09.490 align:middle line:84% trusted and analyzed faster using the Oracle Autonomous 00:02:09.490 --> 00:02:12.040 align:middle line:84% Data Warehouse and Oracle's included data 00:02:12.040 --> 00:02:15.790 align:middle line:84% visualization for desktop tool, or using Oracle Analytic Cloud 00:02:15.790 --> 00:02:18.880 align:middle line:84% Service, or any third party tools. 00:02:18.880 --> 00:02:21.160 align:middle line:84% Taking control of your data is not just 00:02:21.160 --> 00:02:23.230 align:middle line:84% about data preparation pipelines. 00:02:23.230 --> 00:02:26.590 align:middle line:84% The real payoff in data management is when you use it. 00:02:26.590 --> 00:02:29.390 align:middle line:84% Going back to our recruiting effectiveness analysis, 00:02:29.390 --> 00:02:32.290 align:middle line:84% it would take hours to process the millions of enterprise 00:02:32.290 --> 00:02:35.140 align:middle line:84% transactions with an underpowered CPU. 00:02:35.140 --> 00:02:38.680 align:middle line:84% But with Oracle, analysts can increase processing power 00:02:38.680 --> 00:02:43.510 align:middle line:84% as needed to any analysis, reducing time by up to 90%, 00:02:43.510 --> 00:02:46.810 align:middle line:84% and then scale it back down to reduce costs. 00:02:46.810 --> 00:02:50.260 align:middle line:84% Talk about massive productivity potential. 00:02:50.260 --> 00:02:54.220 align:middle line:84% Easy, fast, powerful, and autonomous. 00:02:54.220 --> 00:02:58.930 align:middle line:84% Vastly improve your HR analysis, reduce cost and complexity, 00:02:58.930 --> 00:03:02.030 align:middle line:84% unlock your creative potential and take full control. 00:03:02.030 --> 00:03:04.770 align:middle line:90% 00:03:04.770 --> 00:03:08.520 align:middle line:84% With analytics and data that are always up-to-date, trustworthy, 00:03:08.520 --> 00:03:09.720 align:middle line:90% and available. 00:03:09.720 --> 00:03:12.510 align:middle line:90% All independently from IT. 00:03:12.510 --> 00:03:16.530 align:middle line:84% Self-driving, self-securing, and self-preparing 00:03:16.530 --> 00:03:19.830 align:middle line:84% with Oracle Autonomous Data Warehouse and Oracle Data 00:03:19.830 --> 00:03:22.340 align:middle line:90% visualization for desktop. 00:03:22.340 --> 00:03:27.126 align:middle line:90%