Insights Tech Showcase by Greenbook

Day. Before we get started, I just wanna remind you to leave any questions you have in that q and a box. We’ll get to as many of those as we can at the end of the session. Also, if you push that big button that says Book Time With Me after the session, you’ll be brought to a page to book a live demo as well. So thanks for being here, I’ll go ahead and hand it over to you, Richard. Thank you very much, Cara, and thank you very much to the Green Book events. My name is Richard from Market Logic, and thank you for your time today. So, good morning, good afternoon, and good evening to those who are joining. I’d like to talk to you today a bit about Market Logic and specifically through the lens of shopper insights and knowledge management. So, without further ado, let’s get into this. So, a brief agenda today because we don’t have a lot of time. Just a little bit about who we are, but I’d like to make that relative to the industry. Then we’re going to actually look at a couple aspects of the platform, specifically the unified discovery within temp based search, and the insight sharing with knowledge zones. I will then wrap up and open it up to some questions. Market Logic has been in the industry for about fifteen years, well, in excess of fifteen years. We really came out of the market research domain, if you like, focusing very much on insights. Obviously, with the importance that insights has and is becoming more and more on the global stage, obviously we’re attracting many more customers and clients across a broad range of industries. But today I’m really going to focus in on the FMCG and retail market space, Because not just getting the insights, but it really helps strive to enable you to put the customer at the heart of all of those decisions, which is a very valuable piece. Just a little bit of background about us. We do also integrate with a lot of partners. I’m to talk a little bit more about that partner element from an integration perspective here as we move on. Specifically within the retail and FMCG domain, here are a couple of the clients that we work with globally. Probably for the US market, you’ll recognize the Home Depot. Globally, people I think will know Mars from a number of different products and offerings that they have, whether it’s from the pet food world or the confectory and more. And then there’s a couple retailers here, Reibe out of Germany and Tesco out of the UK with operations also throughout Europe. But I’d like to draw your attention to the quotes from the various different or the respective directors and heads within the organisation because there’s a couple themes that come out of here that I think are very interesting. We talk a lot about the democratisation of those insights, but it’s also about making that information available to everybody and anybody in the company in a quick and efficient means, but also opening up and breaking down of silos. I think that’s all very, very important when it comes to insights in terms of the sharing and distributing and disseminating that information into the organisation, because that really does help put the customer at the centre of that whole experience. Please do check on our website. We do have some wonderful case studies around those particular organisations. And we also do have a couple events that we’ve attended previously with recordings from that with some of those people speaking that will give you some really good insights about how they use the platform and what they’re doing as an organisation in terms of insights. Both at a shopper level, but also broadening that out to more generalist marketing insights and market insights. So how do we actually help organisations do this? Well, as you saw in there through the democratization and the sharing, it’s about pulling all of your information and creating that single source of truth for you. So, really helping you to centralize your insights in one place. And then it’s about democratizing. It’s getting it out to the right people, getting in the right people’s hands at the right time to really help them make those very important business decisions, but driven with insights at the core of that. And we wrap that or we really kind of work in line with change management to develop that and to roll that out within the organisation on that change management platform. So, spoke earlier about some of the partner relationships that we have. We deal with a number of different partners across a number or a range of different offerings. And a lot of that is driven by the kind of information that you have within your organisation. So, some cases we talk about those silos. In other cases it could be the subscription services that you use. It could be generally just where information is, whether that’s on your business platforms, your SharePoints, or your Google drives of the world, or if it’s actually in systems that you subscribe to from the likes of the Mintels, the Kantels of the world, etcetera. We do also now have a wonderful offering for data tables, we can actually get at the raw data itself and bring that in to the platform and make that accessible. As well as, of course, RSS and news feeds. Where DeepSights really comes into its own, it’s about placing that insights knowledge layer on top of all of this and really help to extract and disseminate those insights across the organisation. Without further ado, what I’d like to do now is actually show you what the platform looks like. I’m going to just bring up the platform and we’re going to go in and one of the first things that we are going to look at here is that generative AI assistant that we have that’s part of our intent based search offering. So here’s a question that I’ve prepared. I’m now going to ask the platform for an answer to my question. And what you’ll see is happening is the system is now going off and behind the scenes it’s scanning through all those sources that it has available to it. So, it’s all those primary reports that you’ve either paid for as a service or you’re subscribed to or people have uploaded to the platform. It’s looking at your subscription services. It’s looking at your RSS feeds. It’s looking at all of that information. And as you can see, I’ve just typed in my question using my natural language and I’ve now got a nice succinct response to that question provided to me on the left hand side. It’s in a nice and easy to consume format, but within that what you will see interspersed are the various different sources that are used within here. And I can go in and I can actually look at those sources. So, I can fact check the information around the sources that are being used to generate that response for me. I can really get into the nuts and bolts of this. As you can see, not only can we pull out text, but we can also read graphical information. So, do have the ability to go in and look into infographics and other such types of information. As we scroll down, so those that you see in these kind of greeny colored are our primary reports, but we do also have some secondary source or syndicated source information in here as well. And as we scroll down, you will see all the various different source attributes that have been laid out in the platform. If I go over onto the right hand side I can look at the individual sources that have been used to generate this answer including within here we do have some table data information which is talking about the market values of this particular question that I’ve posed to the system and giving me some factual information out of those data tables itself. So, it’s able to use lots of different types of information and pull that together unbeknownst to me as a user and putting any of that onus on me to know where to go and find that information. I just know I’ve got a question, I put it into the platform and it will go off and it will find that information to me. It also is able to cite the various different sources used specifically and draw out the various pages used in there, and then it wraps it up nicely for me with a conclusion. One of the really nice capabilities here too to really help build up that trust in those answers is what we call watch outs. And the watch outs give a very nice high level overview to help inform the user or the person who asked the question, are there any contradictions that they need to be aware of? So, in this case, the great news is there are no significant contradictions in the sources that you’re using here. It also provides a little bit more of the contextual information. So, in this case, it’s saying that actually though you’ve asked about Asia, a lot of the insights primarily focus on Southeast Asia in here. So, it might not be an entirety overview. And then in terms of the reliability, the good news is most of these are fairly recent sources that have been used. But what you do want to do, because we’re talking about consumer surveys in here, you want to be mindful of things like the sample sizes and the demographic representation. So, it’s really giving you that additional information to be very confident in the information that’s being shared with you. If for any reason you would want to go in and not use any of those sources, well then you have this ability to go in and manage your sources, which enables you to then to come in here and turn off any of those particular attributes. And then you have the ability to regenerate the answer. What you can also do is as part of this offering is you can create a report. So, what this will do is it’ll actually take the answer that’s been generated. It will also compile that complete source list for you and it will create it in a really nice easy to consume report format that can also be downloaded into a Word document to then be shared not just with people on the platform, but also with people externally. So, you wanted to share it with anyone maybe outside of the organisation, you could also do that as well. You can also do things like copy this answer for reuse at a little bit of a later time and also included within here is some further reading. So the further reading is sources that were deemed not necessarily valuable enough to be included in the response, but still may hold some additional context and some related insights to the specific question. So it warrants being mindful of and also potentially using. But once you’ve reviewed it and deemed if it’s important. So, if we just look at the output of the report as you can see there’s our summary there. I can choose to download it at this point, and I also have then my source listing with a nice summary of each one of the sources that we use in there, as well as the specific page references that were included in there. So, that is now an additional resource and an additional asset that I have available to me. Now the power of the intent based search is that it provides a three in one search experience. So, at this point what I can do is I could also come in here and just put in a specific topic that I want to look on. So, now I’m going to use my topic search. And this is going to provide a different experience to the answer that we just generated because this is now very much focused on a specific topic, on a specific subject. So, it’s now going to go off, it’s going to search across the entirety of the platform, and it’s going to retrieve back to me all the relevant information specific to that topic. And you’ll see the presentation of that information will differ from a response as you would expect. So, I will have the ability to and the system will, if you like, prioritise information that’s deemed to be particularly important. And then we’ll look at things like if it’s information that could be relevant to me or is related to the topic there as well. So, we’ve got what we call the top match first and foremost, and then we have the relevant and related. Top match will be displayed first because that is the strongest match. We have a little bit of a nice summary of the overall document, but then as I pick and choose the top matches in this case, you will see that the summary here on the right hand side will change based on the page that I’m looking at. So, it really highlights those particular pages that are important. It’ll also show you information like tags that are available. I can also download the information. I can save it for reuse at a later time. If I wanted to look at the relevant information as well, as you can see I can simply click on that to view that content. Then last but not least, I also have the ability to do a file search. So, the last of my three search experiences is about find a file. So, this is where we actually go off and we look for files that we know are in the system based on whatever the correct credentials and criteria is that I want to actually search for. So, as you can see, we can do things like include specific keywords or exclude specific keywords, and we also have the ability to apply specific filters in there as needed. At the moment, we have country set up as filters, that can of course be included and extended with your taxonomy offerings in there as well. So those are the three different options in terms of finding or the intent based search offering. The last thing that I wanted to cover today as part of the demonstration is what we call a knowledge zone. And this is one way that you can actually reuse information. So, we saw as part of the answer, we can create a report that can be reused, but we also have these knowledge zones which are a great asset for pulling together lots of different information. It could be around a specific topic, so in this case something like functional tea. It could be some SWOT analysis, so some battle cards around a number of different products. It could be around a specific topic or theme, or it could be something like your clients and wanting to understand more about your clients. Because as we know, with shopper insights there’s a broad range of topics to include in there. So, we’ve got things like segmentation, loyalty programs. You know we want to understand who our ideal client is. And all of these types of things can be catered for in here. We can set them up across different pages. So, if I wanted to go and look at say the segmentation information we have in here, we’ve got some information that we can review about how we segment people. We can then also go in and ask specific questions and collaborate and interact with our colleagues around these particular topics and themes. And if I go back to the overview, I’ve got a nice high level definition in here as what the objective is of this knowledge zone to learn and understand more about our clients. But we can also include things like further readings. And if you are interested, if we go back into, let’s say, a different knowledge zone, you can also include things like video content in here. You can also do things like include infographics, as well as some news feeds in here. So, it’s a very flexible way of pulling information together to be reused and shared very quickly and easily. That wraps up the demo part. So, what I’d like to do is just simply recap before I open this up for some questions. So, we looked at the intent based search, that three in one search experience, get your answers, topic based as well as find a file. And then we also looked at the knowledge zones element, which really enables people to get into the art of storytelling, what’s around a particular topic, whether it’s to do some competitive intelligence like SWOT analysis or if you just want to share information around things like your shopper insights like the example that I showed you. So, we’ve got a couple minutes now that I would like to just before I wrap up just hit the point home that we do really have unrivalled experience in the retail and FMCG market space. Please do look at our website for some more details. But I really now would like to open it up for any questions. Wonderful. Thank you so much, Richard. That was great. And for anybody who maybe joined a little late, this session will be available on demand in just a few minutes once we end it. Also, a reminder, you can hit that big button that says book time with me and be taken to a page to book a private demo if you’d like to. So just a couple questions here. And we have only a few minutes left, so we’ll try to be quick. For retail and shopper insights teams looking to get started with DeepSights, what types of content or data sets do they typically start with, and are there certain formats or volumes that work best? Oh, that’s a fantastic question. That’s a really, really good one. I think a lot of it depends on the kind of information that people have available. And I’m not trying to get out of the question by throwing it back. But what I would say is any kind of reports that you have available, that’s a great place to get started and a lot of people start with looking at the information they have, do a little bit of a sanitisation of the information that they have, and then upload a lot of those primary reports, whether that’s something they’ve found, whether it’s something they’ve commissioned, or maybe it’s something they work in partnership with some of their partners with. Next, as I mentioned in the presentation, are the various different connectors to open up those sources. And then of course the RSS feeds. In terms of the volumes, what we tend to do is work with organizations to really lay out a plan of how and when to bring these various different information sources online because of course also coupled within that is any internal systems that you may have. Now especially with the data tables, we can really extend the offering more broadly. So, would say in terms of the volume of the content, it really is however much you’ve got. We would put a plan together to get that uploaded and going into the system. Whether an iterative approach may work well in terms of not doing it as one large job. Some organisations prefer to go that route and actually do a big sort of data dump at once, and others like to do it bring on specific sources at various times. There’s a lot of flexibility there, I think is the main point. But I like to think the more the better. Yeah, absolutely. A really quick one as we’re right at the end of time here, but can you provide some details or examples on what you’re doing with shopper insights? Loads. It’s a great point. We’re working with people across a whole range to help them with the segmentation. We’re doing a lot about really helping disseminate the information out so that the stakeholders can actually go directly into the platform by making those shopper insights available and actually get answers to their own questions. I appreciate we’re a little bit over time, but there’s a lot of other things we do and some of it will be driven on the types of data that they’re using as well. Wonderful. Well, thank you so much, Richard. Thank you everyone for being here, and we’ll see you in the next session. Thanks so much.