1 00:00:00.460 --> 00:00:02.920 All right. Welcome back everyone. So I am joined with Hannah, 2 00:00:02.950 --> 00:00:04.720 with Thomas Reuters. So Hannah, 3 00:00:04.750 --> 00:00:08.400 introduce yourself to those people that don't know you and the title with 4 00:00:08.560 --> 00:00:09.600 Reuters that you have. Awesome. 5 00:00:09.980 --> 00:00:13.760 So I am an account executive with Thomson Reuters Clear Products. 6 00:00:13.780 --> 00:00:17.720 So Clear is a public records and due diligence platform. 7 00:00:18.220 --> 00:00:22.280 Our customers are merchant, cash, advance companies, lenders, 8 00:00:22.740 --> 00:00:26.560 and they are accessing our public record data, pulling in things like liens, 9 00:00:26.840 --> 00:00:28.040 judgments, bankruptcies, 10 00:00:28.400 --> 00:00:31.800 U C C filings all into one spot for you instantaneously. 11 00:00:32.430 --> 00:00:34.360 Awesome. So let ask you this, the last year, 12 00:00:34.440 --> 00:00:37.520 I mean obviously it's busy for everyone and a lot of people are doing business. 13 00:00:37.540 --> 00:00:40.560 So what have you seen is the number one thing people have to take into 14 00:00:40.720 --> 00:00:43.520 consideration when using a program, a program like yours? 15 00:00:44.140 --> 00:00:47.080 The real time data is our biggest differentiator. 16 00:00:47.310 --> 00:00:52.040 Like people need to make decisions fast and everyone's looking to automate this 17 00:00:52.200 --> 00:00:52.900 decisioning as well. 18 00:00:52.900 --> 00:00:57.640 So clear offer some risk scoring to really streamline underwriting 19 00:00:57.670 --> 00:01:00.720 processes, give you that pass, fail, and make a decision fastly. 20 00:01:01.180 --> 00:01:04.840 So a lot of people think that they will never experience fraud, 21 00:01:05.230 --> 00:01:08.200 that they're good, they don't need you guys, they don't need, 22 00:01:08.200 --> 00:01:11.840 or they don't need any type of programming that compared to what you guys do. 23 00:01:11.870 --> 00:01:13.280 Yeah. What do you say to those guys? 24 00:01:14.090 --> 00:01:17.920 Never say never. Uh, when I hear that, 25 00:01:17.990 --> 00:01:21.640 most of the time they come crawling back, uh, a year or two later, 26 00:01:21.740 --> 00:01:23.520 and they probably could have saved a lot of dollars. 27 00:01:23.590 --> 00:01:27.920 There's a huge return on investment with doing the underwriting on the front end 28 00:01:27.920 --> 00:01:30.680 versus paying for it on the back end by not doing it. 29 00:01:31.380 --> 00:01:33.880 So if you can give a rough estimate, all right, 30 00:01:34.140 --> 00:01:37.200 of how much people can save by using a program like yours, 31 00:01:37.430 --> 00:01:39.880 what would that look like? Rough estimate. 32 00:01:41.990 --> 00:01:45.270 I don't even know what a rough estimate would be, but I mean, a lot of money, 33 00:01:45.270 --> 00:01:48.470 these lenders, they're giving a lot of money out. So I mean, 34 00:01:48.470 --> 00:01:50.350 you get hit once by one fraud ring, 35 00:01:51.330 --> 00:01:55.670 you're not paying a hundred thousand dollars for our platform a year. 36 00:01:55.970 --> 00:02:00.750 So you could get hit by one ring and that alone to put into perspective. 37 00:02:01.690 --> 00:02:04.750 So overall, what's your best piece of advice for people in this industry? 38 00:02:06.050 --> 00:02:09.950 Do the underwriting on the front end. Get a tool with real time data, 39 00:02:10.170 --> 00:02:14.750 not stale data, um, and automate it. Make your life easier. Get a risk scoring. 40 00:02:15.610 --> 00:02:20.150 Do the work on the front end to save yourself on the back end from these fraud 41 00:02:20.150 --> 00:02:20.970 rings. 42 00:02:20.970 --> 00:02:22.030 All right. So last question. 43 00:02:22.050 --> 00:02:26.070 What's your best Minnesota accent since you are a Minnesota girl and we can hear 44 00:02:26.070 --> 00:02:28.390 it, what's your best Minnesota accent? 45 00:02:29.130 --> 00:02:34.070 The, the bag? Did you, did you get the grocery bag or, I'm from Minnesota. 46 00:02:35.470 --> 00:02:38.710 I love, I love it when you and another Minnesotan comes through, you guys, 47 00:02:38.830 --> 00:02:41.350 I can hear it like, yeah, go full throttle. So it's hilarious. 48 00:02:41.770 --> 00:02:43.350 So when you pick up the phone, you're like, hello? 49 00:02:44.540 --> 00:02:46.790 Most people can hear it right away. They're like, where are you from? 50 00:02:46.850 --> 00:02:48.430 And I'm like, Minnesota. 51 00:02:48.790 --> 00:02:52.830 I was actually at a grocery store in Tennessee deciding what fruit to get, 52 00:02:53.230 --> 00:02:56.110 chatting with a friend and they're like, Hey, are you from Minnesota? I'm like, 53 00:02:56.210 --> 00:02:58.790 how did you know that? And they could hear it just off of that. So 54 00:02:59.120 --> 00:03:01.840 That's hilarious. Yeah. All right. Well, Hannah, thank you so much. Thank you. 55 00:03:01.840 --> 00:03:04.800 Appreciate it. I'll, I'll let you enjoy the rest of, uh, of the event. 56 00:03:05.220 --> 00:03:08.360 All right. All right. So that was Hannah. Hannah made a really valid point, 57 00:03:08.360 --> 00:03:12.840 and we've also talked to Joyce from Thomas Reuters up on the Northeast 58 00:03:12.870 --> 00:03:15.240 regarding, uh, the clear product and what that does. 59 00:03:15.240 --> 00:03:17.800 So if you want to check that video out, you can go ahead and do.