Elder Research

Not every business problem needs an AI solution. Frazier S. explains why: Sometimes the simplest solution is the most effective. ✅ As an AI and ML leader in the sports betting and casino industry, Frazier helps turn data into actionable insights. And that starts with having a clear picture of the business problems that need to be solved. It’s about finding a solution that fits your specific problem, not making your problem fit a specific solution. 🧩 And if that solution is as simple as five lines of code in SQL, “that is a win,” says Frazier. Frazier shares more insight and talks about her unique journey into data science on the latest episode of the Mining Your Own Business podcast. 🎙️ Catch her full conversation with Evan Wimpey on Spotify, Apple Podcasts, YouTube, or anywhere else you get your podcasts. Episodes are also on our website: 🔍 Mining Your Own Business #DataAnalytics #DataScience #ArtificialIntelligence #AI #MachineLearning #Podcast

A global food manufacturer was facing a tough challenge: how to make smart pricing decisions when every product reacts differently to price changes. 💡 We stepped in to build a model that looks at how both their prices and competitor prices influence buying decisions across different products and markets. Now they can make smarter, faster decisions with the insights we provided. Curious about how it worked? Dive into the full case study in the Resources section of our website. #DataScience #DataDriven #PricingDecisions #BusinessGrowth

Say hello to our new team members and learn a little about them! This week they spent some time getting to know each other and hearing from our founder, John Elder, and our CEO Gerhard Pilcher during a virtual chat. 𝗪𝗵𝗮𝘁 𝗱𝗶𝗱 𝘁𝗵𝗲𝘆 𝗰𝗵𝗮𝘁 𝗮𝗯𝗼𝘂𝘁? 🔭 The vision for the work we do 🤝 Our values as an organization ↗️ Ways we’re continuing to grow and learn Plus, everyone shared a bit about their hobbies and interests. ⛰️ 🛫 🎸 𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝗮 𝗳𝗲𝘄 𝗳𝘂𝗻 𝗳𝗮𝗰𝘁𝘀 about the newest members of our crew (and some bonus fun facts about our founder and CEO). See if you have anything in common! 𝗗𝗼𝗺𝗶𝗻𝗾𝘂𝗲 𝗠𝗶𝘁𝗰𝗵𝗲𝗹𝗹, 𝗔𝗱𝗺𝗶𝗻𝗶𝘀𝘁𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁: Ran Division 1 track in school and enjoys going to music festivals and traveling 𝗟𝗮𝗻𝗰𝗲 𝗟𝘂, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁: Enjoys trying out different hobbies and is currently focused on spending time in nature—from birdwatching to fly fishing 𝗝𝗮𝗸𝗲 𝗥𝗶𝗸𝗲, 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁: Loves riding dirt bikes 𝗥𝗶𝗰𝗸𝘆 𝗗𝗮𝘀, 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Loves traveling and recently returned from a trip to Iceland and Ireland 𝗖𝗼𝗻𝗹𝗲𝗶𝘁𝗵 𝗕𝗲𝗮𝘁𝘁𝘆, 𝗥𝗲𝗰𝗿𝘂𝗶𝘁𝗶𝗻𝗴 𝗠𝗮𝗻𝗮𝗴𝗲𝗿: Loves primitive camping and spending time with his family 𝗧𝗿𝗮𝗰𝗲𝘆 𝗗𝘂𝗱𝗱𝗶𝗻𝗴, 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Loves being social at work but could also spend hours alone in nature 𝗛𝗲𝗮𝘁𝗵𝗲𝗿 𝗖𝗵𝗮𝗺𝗯𝗲𝗿𝘀, 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Enjoys woodworking and is currently working on turning a set of table legs 𝗣𝗲𝘁𝗲𝗿 𝗠𝗮𝗻𝗰𝗲, 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿 𝗼𝗳 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Loves playing the guitar and plays regularly at church 𝗝𝗮𝗰𝗼𝗯 𝗧𝘂𝗿𝗻𝗲𝘆, 𝗖𝗹𝗶𝗲𝗻𝘁 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗿: Loves nature and lived in a van for about a year, traveling across the West Coast and Canada 𝗕𝗮𝗻𝗸𝗼𝗹𝗲 𝗔𝗸𝗲𝗿𝗲𝗹𝗲, 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Currently trying his hand at blacksmithing by taking classes 𝗔𝗺𝘆 𝗕𝗿𝗼𝘄𝗻, 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁: Loves the great outdoors—from shooting a longbow to rockhounding 𝗖𝗵𝗮𝗿𝗹𝗶𝗲 𝗠𝗶𝗹𝗲𝘀, 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿 𝗼𝗳 𝗧𝗮𝗹𝗲𝗻𝘁 𝗔𝗰𝗾𝘂𝗶𝘀𝗶𝘁𝗶𝗼𝗻: Started out his career as a pilot in the Marine Corps 𝗗𝗮𝘃𝗶𝗱, 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: Loves animals and has 2 dogs, 2 cats, a rabbit, a sheep, and 3 birds—2 conures and a cockatiel 𝗞𝗲𝘃𝗶𝗻 𝗔𝗴𝗯𝘂𝗹𝗼𝘀, 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿: Named after one of the most famous Kevins of all time—Kevin from 𝘏𝘰𝘮𝘦 𝘈𝘭𝘰𝘯𝘦 𝗕𝗼𝗻𝘂𝘀 𝗙𝘂𝗻 𝗙𝗮𝗰𝘁𝘀 𝗔𝗯𝗼𝘂𝘁 𝗢𝘂𝗿 𝗙𝗼𝘂𝗻𝗱𝗲𝗿 𝗮𝗻𝗱 𝗖𝗘𝗢 𝗝𝗼𝗵𝗻 𝗘𝗹𝗱𝗲𝗿, 𝗙𝗼𝘂𝗻𝗱𝗲𝗿: Army brat who moved 16 times while growing up 𝗚𝗲𝗿𝗵𝗮𝗿𝗱 𝗣𝗶𝗹𝗰𝗵𝗲𝗿, 𝗖𝗘𝗢: Loves woodworking and spending time in the great outdoors I𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗲𝗱 𝗶𝗻 𝗷𝗼𝗶𝗻𝗶𝗻𝗴 𝗼𝘂𝗿 𝘁𝗲𝗮𝗺? Check out our opportunities: https://lnkd.in/gpPJUkTT

“Hi, it’s me. The stalled analytics project from months ago … Yeah, we need to talk.” Have you ever had high hopes for an analytics project only to have it fall flat? 🫠 Or maybe you’ve been on the flip side telling your team, “I don’t think this project will fly,” only to later say the inevitable “I told you so.” Both sides are not fun. The shocking reality is that about 80% of AI and machine learning projects fail to deliver. ⚙️ In our 29 years, we’ve noticed several key reasons analytics projects fail to fully take off. And the lessons we’ve learned along the way have helped us achieve an overwhelmingly successful implementation rate. ✅ If you're looking for analytics project tips, check out our blog or sign up for our monthly newsletter at the bottom of our homepage. We share articles about starting analytics projects, upskilling teams, ways to help people embrace the changes new initiatives bring, and more. #Analytics #DataAnalytics #MachineLearning #DataScience #AI

Wondering how generative AI can make a real difference in your organization? We’ve got you covered with our new guide: Navigating Generative AI. Inside, you’ll find: 💡How to assess the benefits and risks of generative AI for your business. 💡Critical questions to set your priorities straight. 💡Practical steps to drive results with AI. Plus, we’re sharing real-world examples to show you what success looks like. Whether you’re at the starting point or a bit further down the path, this guide will help you think through all angles of thoughtful and effective adoption of generative AI. #GenerativeAI #ArtificialIntelligence

Cheers to 29 years! 🎉 Today we’re thankful to celebrate 29 years delivering data-driven solutions. John Elder started Elder Research nearly three decades ago with a goal of helping businesses solve their toughest data challenges. And that mission remains the same today. What drives us? Our values of humility, teamwork, leadership, integrity, and passion. Looking forward to a new year of growth, learning, and serving clients to the best of our ability. Thank you for all the ways inspire us to stay curious and reinvent continuously. #DataDriven #PeopleCentered

Has confusion ever derailed your data projects? 🤷 Shree Whitaker Taylor, PhD reminds us that in our world of 0’s and 1’s, clarity is everything. When your team understands the goals and their roles, they can confidently take ownership and drive projects forward. Clear expectations lead to a unified, effective team. ↗️ What’s one way your team builds clarity on projects? #DataAnalytics #DataScience

Our team’s excited to be at Hotel Data Conference (HDC) in Nashville! Today, Lisa Targonski is joining a panel on a hot topic: AI in Hospitality 🤖 Artificial intelligence will play a role in all aspects of hospitality—whether it’s boosting revenue strategy, streamlining operations, deciphering data, or enhancing sales and marketing. During the panel, Lisa and other leaders will unpack the benefits and challenges involved in the next era of AI. We’re glad to join the conversation and connect with hospitality leaders from around the world. 🌎 If you’re at the conference, we’d love to see you at our booth! P.S. If you’re interested in learning more about our work in hospitality, visit the Hospitality page on our website. #HDC2024 #AI #ArtificialIntelligence #HospitalityIndustry

Data professionals are master interpreters. 👌 John Cook of Marriott International shares how in this clip. John is a Senior Director of Data Science and Reporting for Marriott where he and his team help stakeholders across the company—from sales and marketing to revenue management. Each business team has plans and goals … And each has a different perspective when it comes to data. What’s helped John? 👓 Building a well-rounded view of the business 👂 Taking time to listen to stakeholders and really grasp where they’re coming from 💬 Communicating with business teams in a way they understand Catch John’s full conversation with Evan Wimpey on the latest episode of the Mining Your Own Business podcast. You can find it on Spotify, Apple Podcasts, YouTube, or anywhere else you get your podcasts. Episodes are also on our website: 🔍 Mining Your Own Business #DataAnalytics #DataScience #Hospitality #Podcast

machine learning + subject matter expertise = better forecasts for 1 housing manufacturer A housing manufacturer wanted to use data to make fast and accurate forecasts of housing-related economic indicators. 𝗧𝗵𝗲 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲: Their prediction process involved using a lot of time and resources to compile data from various sources. 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻: Our team developed a suite of forecast models, combining subject matter expertise with flexible ML models to optimize accuracy and minimize variability. 𝗥𝗲𝘀𝘂𝗹𝘁𝘀: The ensemble models our team built matched or outperformed the client’s paid subscription forecasts.   Check out the full case study in the Resources section of our website.    #DataScience #MachineLearning #Forecasting