AggKnowledge

At AggKnowledge, we're providing data enrichment-as-a-service for market research, recruitment, and other professional platforms. We're curious to know: Who are some data providers you rely on for people, companies, Vendorgraphics, or Healthcare data? What makes them great? What are the current gaps or missed needs in the ecosystem? What are your biggest pain points when working with these types of data? Read on!

SampleCon was... AWESOME Bill Ronkoski and I just got back to NYC after 48 hours of non-stop engaging discussions about the future of market research, panel management, and data & AI in sunny(ish) California at our first SampleCon event. Some highlight conversations: - Chatting fraud prevention, data quality, and skiing with Bob Fawson. - Catching up with Steve Schlesinger who is such a great supporter of and mentor to entrepreneurs and innovators in the industry. - Hanging with Michael Hess and the Emporia Research team - thank you for the shoutout in your TED Talk Michael! Great to see the calculation framework and stats on participant lifetime value. - Seeing Michael Recce at a survey industry event - we go way back in the investment research data world, so it was nice to sync up around the predictive power of surveys. - Watching Kerry Edelstein's great presentation on re-humanizing market research with some really interesting insights on the ownership structure over time of companies in the market research space. - A St. Paddy's Day toast with Lisa Wilding-Brown and Sandy Casey. - Seeing Walter Kittinger who I overlapped with for 1 month back in 2018. - Meeting Matt Gershner and hearing all about his new company, Fair Response. - Playing the dtect claw machine (The Fraud Catcher). Bill almost caught the Lyin' Lion stuffie. I also appreciate the person who was telling everyone that AggKnowledge was the "Belle of the Ball." Will try not to let that one go to my ego 😉 Special thank you to the SampleCon Board of Directors and Rachel Alltmont for hosting a great event. #surveys #mrx #marketresearch

We're very excited to meet everyone at SampleCon next week in Pasadena, CA. Drop us a note if you'll be in town! Looking forward to catching up with old friends and meeting new folks. Michael Hess, Michael Recce, Lisa Wilding-Brown, Sandy Casey, Walter Kittinger, Sima Vasa, Melanie Courtright, Bob Birdsell, Steve Schlesinger, Jonathan Bacchieri, Don Golden, Rachel Alltmont - see you on the Pickleball court!

There's a ton of talk about data in the analysis and fraud detection/prevention stages of expert-based research. But, how about further upstream starting with targeting and outreach? Are you incorporating data into your panel management, search, and outreach? Are you getting to the right people as efficiently as possible and mitigating fraud before it has a chance to even present itself? Bill Ronkoski and I share some thoughts on how to enhance research outreach through data utilization. What are some of the ways you're using data for targeting? #expertnetworks, #marketresearch #surveys #mrx

I recently joined the Waters Wavelength podcast where Wei-Shen Wong and Anthony Malakian discuss the hottest financial technology topics in the capital markets every week. We talk about my career journey in expert-based research services and data, AggKnowledge, the It's Pronounced Data newsletter (https://lnkd.in/e4Hcbuwm), my thoughts on private markets data, challenges I see in the data ecosystem, AI (of course), Formula 1 fun facts, and I finally publicly share the reasons why I don't like the term "Alternative Data" I had such a great time chatting with Tony and am honored to be the latest guest on the show. Bill Murphy holds the record as the guest on 5 episodes (Bill, we give you a shoutout as the first guest). 00:00 Wei-Shen and Tony chat about Lunar New Year traditions 9:05 Dan Entrup, co-founder of AggKnowledge and the creator of the It’s Pronounced Data newsletter, joins the show 11:06 Dan’s career and the origins of AggKnowledge 15:33 The origins of the It’s Pronounced Data newsletter 20:42 The private markets data ecosystem 22:16 Challenges around private markets data 25:56 Why Dan doesn’t like the term “alternative data” 27:53 Data is still sold, not bought 31:52 Misalignment of data needs 36:54 The current appetite for AI SoundCloud did not capture this in transcription summary but we end with Formula 1 fun facts. We ran out of time before I got to share my favorite data jokes (maybe that was intentionally by the hosts 😁), so here they are: - A SQL query walks into a bar, walks up to two tables, and asks, “Can I join you?” - There is a fine line between a numerator and a denominator. It’s ok if you didn’t get that. Only a fraction will understand. - I have a statistics joke, eh, nevermind, it’s not significant. Check out the episode here: https://lnkd.in/eCSt86bK You can also listen to it on... Apple Podcasts: https://lnkd.in/egm4k-S8 Spotify: https://lnkd.in/e_Dxe9TJ SoundCloud: https://lnkd.in/e5cNPnzJ

I'm looking for a Data Engineer to join AggKnowledge! We're a bootstrapped three-person startup providing data enrichment to knowledge networks (expert networks, survey panels, and recruiters). If Python, Snowflake, Dagster/Airflow, and DBT are your jam, and you've used them in production at startups, let's chat. This is a part-time, contract role to start; our goal is to convert to full-time in the near future. Ideal candidates have 5+ years in data engineering roles and are based in the US. We're remote-friendly: two of us work in NYC and one (me) works in NH. Interested? Drop me an email: jon+dataengineer@aggknowledge.ai with your LinkedIn or resume, hourly rate, availability, location, and a 1-2 sentence hot take on your least favorite keyword in ANSI SQL. **We are unable to work with recruiters at this time.**

Although we are incredibly grateful for current and future clients, some of the attention this week has been on our newest member of the team. Founder life is challenging and rewarding, but dad life is a whole other ballgame!

After a few months with a placeholder - we heard our website could use a facelift (latest count: 150 cold emails from UX and web designers) - I'm excited to share AggKnowledge's new website. Check it out for further details on the products & services we're providing, the value-add to different client types including expert networks, survey panels, recruiters, and advisor networks, and more about our data and company. Then again, if you had AggKnowledge, your data would've updated automatically with what we do 😉 If you'd like to chat about the future of data management and enrichment for knowledge networks, don't hesitate to reach out! https://lnkd.in/eU9pQzKY Do me a favor - give this post a like and give our page a follow for the latest updates. Who will be our 500th follower?! We're currently at 481 😀

At AggKnowledge, our north star remains to improve the expert experience and knowledge network efficiency through effective use of data. As we’ve been through the evaluation process with over 50 third-party data providers, we have some findings and learnings we'd like to share: 🔍 Evaluation Process - It’s an exciting time to be in data, with new datasets coming online every day. Even with LLMs, the evaluation is still mostly a manual process. But, it’s difficult to dedicate time to this if it isn’t your full-time job. Knowing what to look for is key. It's not just about data quality as presented. It's important to understand collection methodologies, fill rates, update cadence, and how the data will actually work in practice. 🏗 Many datasets aren’t built for this case use - Most of the datasets were built for sales teams to leverage for leads. Hardly any of the datasets we’ve evaluated were even thinking about a people application such as AggKnowledge. This requires more than just a bit of transformation of the data. ⚠ Filtering/Noise - Not all data is going to be great–in fact, that’s why we have a business! Even the best datasets out there will be incomplete or contain noise. We've now processed over 45K tags to remove "low-value tags" from our clients' workflows. AggKnowledge plugs into our clients upstream and chooses the best dataset for each individual use, while simultaneously removing the low-value tags. 💰 Can be expensive without economies of scale - The costs of integrating these datasets is high, usually requiring engineers and data scientists, and sometimes requiring data to be reshaped to fit existing systems. 💾 Not all data is available for purchase - Technographics exist, but only for technology solutions. What if you want to know if someone is knowledgeable about a vendor in oil & gas? We’re developing a new kind of dataset for vendor matching called Vendorgraphics™. Stay tuned for more in the coming weeks. If you’re an expert network, executive recruiter, panel manager, or even private equity firm (that has advisors!) and we’re not already in contact, please reach out! We’d welcome the opportunity to share how we would approach data management and enrichment for your knowledge community. #expertnetwork #executivesearch #surveys #marketresearch #data

My co-founder Bill Ronkoski and I have been heads down building AggKnowledge alongside our new brilliant CTO Jon Zajac. As we get closer to launching with our first set of clients, we've been pleasantly surprised by the collaborative discussions we've had across expert networks, survey platforms, and executive search firms. Our north star remains: we are seeking to improve the expert experience. What we've discovered, is there's a huge opportunity to help with data. For Phase 1 of AggKnowledge, we're building a new data model and enriching existing profiles by extracting expertise and context tags from screening questions, project descriptions, and notes. We're also mapping to powerful third-party datasets from multiple top providers across different types including people, firmographic, technographic, and pharmagraphic. We've also gone deep exploring LLMs with human-in-the-loop quality assurance and removal of "low-value" tags. We are very excited for the opportunity ahead. Please reach out if interested in learning more. #expertnetwork #data #surveys #marketresearch