The Intelligent Business Show

We’re wrapping up Season 2 of TIBS with a special guest host (and a very special guest). In this episode, Aberdeen’s own Principal Data Scientist, Ben Cavicchi chats with Frank Days from EnterpriseDB about how the new age of data has transformed the analytical side marketing -- and marketing as a whole.

On this episode of TIBS, we’re taking a step away from marketing automation and operations to chat with Daniel Waas about webinars. Tune in as we chat a bit about David Hasselhoff, and more importantly about webinar best practices — everything from key metrics to measure success, to getting folks to your event and keeping them engaged.

This week, we’re taking a study break and joining Andrew Mugford from Tyndale University to talk about how he uses data as an Admissions Marketing Analyst. Listen in as we review some academic use-cases, discuss how to leverage user experience with admin control, and adjust to the inquire-enroll marketing funnel. 

Max Maurier, Director of Revenue Operations at Malwarebytes calls into the studio. Listen in as Max dives deep into the “completeness of data” in making meaningful decisions, and why it’s so important to focus your budget on the right channels for sales success that marketing can have a tangible impact on.

We are joined by Han Wang, Sales Operations Director at Tufin as we discuss all things data. Whether it’s pipelines, tools, or high-level metrics, we hit all the major pain points businesses face when handling operations. Han’s vision for the future? A better data foundation.

We sit down with Jacki Leahy, Revenue Operations Manager of LinkSquares. Tune in as we discuss how to find the right methodology and math behind account-based marketing (ABM), the best dirty secrets to manage your data in a growing company, and how there’s no shame in needing a VLookup refresher every now and then.

Leveraging technographic data is an already outdated approach — scraping job boards can only get you so far. What if there were a method to collect data that determined if a technology was not only installed, but actually used? Well, we’ve done just that. In our first TIBS mini-sode, we’re chatting with Aberdeen’s own Senior Data Analyst, Ben Cavicci about how he’s leveraged our massive data set to develop a new offering unlike anything else available in the Intent space: Behavioral Technographics.

We’re excited to kick off a new season by chatting with Heidi Rawding from RapidMiner. Heidi uses data in a lot of different ways in her role as Sr. Director of Revenue Operations and she likes to say that her biology background gives her a bit of an edge when it comes to breaking down the effects of data and how we can use data to reduce noise for sales teams.

New host and Aberdeen's VP of Marketing, Jessie Coan shares what to expect for season 2 of TIBS

We’re taking a brief summer hiatus and will be back with intelligent business insight in August. Season two will tighten the scope of The Intelligent Business Show, to focus on Marketing and Sales, and business growth through intent data. The show will feature conversations with marketers and sellers who are exploring new ways to find customers and close deals. Every other week will bring a new opportunity to learn about the latest innovations and the best tricks from your peers and your competitors. Over the past few months, we’ve had the opportunity to sit down with a wealth of intelligent individuals working at intelligence driven companies. We wanted to take a moment to highlight some of those great conversations so you can go check them out if you missed them the first time around. We met with business and thought leaders from IBM, Epicor, HireVue, Harvard, and Drift, just to name a few. Whether you’re looking to hire smarter, manage your communities more effectively, create better customer experiences, or trying to shake up your marketing approach, we’ve got an episode for you. You can also find all these episodes on iTunes, Spotify, Google Play, Youtube, and most other places you listen to podcasts. We’ll be posting details on season two throughout the summer, so keep an eye out on Aberdeen.com, and Theintelligentbusinessshow.com, and on twitter @AberdeenGroup and @Aberdeen_Show to stay in the know.

Predicting the future is nearly impossible - and yet, organizations attempt to do it all of the time. Forecasting in itself can be problematic and automation can only take us so far. In this week’s episode, Ronnie Rich of IBM joins us to discuss how organizations can improve the overall accuracy of their forecasting. Ronnie is an experienced Senior Product Manager who acts as an entrepreneur, a strategist, a technical visionary, a cross-functional team leader, a mentor, and a client advocate. Ronnie has worked at IBM for nearly 12 years and in his current role, he works with customers and business partners to deliver innovative solutions for complex customer problems. Ronnie loves to read everything from the daily news and sports highlights, to memoirs and fiction, self-development and technical publications. He is also a runner - participating in his first 5k about five years ago and shortly thereafter competing in a 273k race. Aside from the stress release, running has connected Ronnie with some amazing people and he’s traveled around the world to places like Grand Cache, Alberta, Kanab, Utah and San Pedro de Atacama, Chile all for the fun of running.

In this episode, Jeffrey Schnapp of metaLAB at Harvard discusses creative uses of AI and shares how to create compelling experiences. Jeffrey Schnapp is currently the Founder & Faculty Director of metaLAB at Harvard University, a knowledge design lab, idea foundry, and production studio dedicated to innovation in the arts, media and humanities. The lab is founded on the belief that some of the key research challenges and opportunities of the new millennium, not to mention crucial questions about experience in a connected world, about the boundaries of culture and nature, about democracy and social justice, transcend divisions between the arts, humanities and sciences; between the academy, industry, and the public sphere; between theoretical and applied knowledge. Jeffrey is also Faculty Co-Director of the Berkman Klein Center for Internet and Society at Harvard University. He holds the Carl A. Pescosolido Chair in Romance Languages and Literatures and Comparative Literature in the Faculty of Arts and Sciences and is on the teaching faculty in the Department of Architecture at Harvard’s Graduate School of Design. Jeffrey holds a Ph.D in Comparative Literature from Stanford University and a B.A. in Hispanic Studies from Vassar College.

Many B2B companies set aside up to 70% of their marketing budgets for events: the least evolved component of the marketing world. The traditional nature of events limits tracking capabilities while most follow-up interactions via email lack the extensive personalization or lead qualifications needed to see substantial ROI. As if this wasn’t bad enough, companies face the added complication of GDPR and other regulations around collecting personal information. In this week’s episode, Pete Gillett of Zuant joins us to discusses how to make event interactions more intelligent and more personalized with your data platform. Pete Gillett is currently the CEO of Zuant, the go-to software platform that streamlines and standardizes data capture via an elegant and responsive native iOS app. Pete drives product development and client roll-outs across US corporations at Zuant and has four decades of experience in marketing and sales. Pete has also been the Managing Director at Marketpoint for nearly four decades. He has a degree from Middlesex University in Mechanical Engineering & Business Studies.

In order to enable enterprise wide intelligence, companies need a platform that can support their large sets of data. It turns out that Enterprise Resource Planning (ERP) solutions are perfectly positioned to fit this need. They’re becoming more of a frontline tool that many companies are utilizing for their predictive abilities and augmented intelligence. This week Steve Murphy of Epicor joins us to discuss the evolution of the ERP system and how it’s helping companies make more intelligent decisions using their data. Steve Murphy is currently the CEO of Epicor, a global leader providing flexible, industry-specific software designed around the needs of manufacturing, distribution, retail and service industry customers. Steve specializes in deep domain expertise in solution selling, revenue generation, supply chain strategy and operations. His career spans more than 20 years in the technology sector including sales and operations leadership positions at OpenText, Oracle, Sun Microsystems and Manugistics, as well as manufacturing and distribution experience leading global logistics, supply chain strategy and major enterprise resource planning (ERP) implementations with Accenture and Procter & Gamble. Steve holds an MBA from Harvard Business School and a B.S. in Mechanical Engineering from the University of California, Davis.

There are plenty of ways to present data nowadays. Popular tools such as Tableau, Qlik, and Power BI make developing interactive reports and customized dashboards a breeze. However, the number of chart variations, colors and layouts available to users can become quite overwhelming and actually do more harm than good. So, how do you ensure that you’re not getting carried away when it comes to presenting clear data findings? This week, Data Visualization guru & author, Kate Strachnyi shares best practices for transforming data sources into consumable and clean looking dashboards. Kate Strachnyi is the author of “The Disruptors: Data Science Leaders” and “The Journey to Data Scientist”. She is also an Advisory Board Member of Initiative for Analytics and Data Science Standards (IADSS) as well as the host of Datacated Weekly: a project dedicated to helping others learn about various topics in the data realm. Kate is a Tableau Desktop 10 Qualified Associate & a Certified Project Management Professional (PMP). She holds a B.S. in Finance & Investments from City University of New York-Baruch College.

Let’s be honest, the recruitment process isn’t always a walk in the park. As an employer, finding top talent for your company’s open roles can be time consuming. On the flip side, applicants struggle to stand out in a heavily populated candidate pool. There’s gotta be an easier way... In this week’s episode, Lindsey Zuloaga of HireVue joins us to discuss how AI can streamline the recruitment process and influence your hiring decisions. Lindsey Zuloaga is currently the Director of Data Science at HireVue, a company that uses predictive artificial intelligence to transform the way employers discover, hire and develop the best talent. At HireVue, she leads a team of Data Scientists who build and optimize products that are revolutionizing how hiring and training are done. Lindsey feels that she has found the perfect intersection of high-impact projects working in Data Science, as they rely on cutting-edge computational and mathematical techniques. She holds a B.S. in Applied Physics from the University of Utah as well as a Ph.D in Applied Physics from Rice University.

When it comes to budgeting and financial planning, your organization may opt to take a gamble or lean on a possibility. After all, how can you confidently ensure that the plan you set at the beginning of the quarter is the right plan for your organization 2 or 3 months in? In this week’s episode, John Murdock of Centage teaches us how to leave our financial worries behind with a little thing called: intelligent planning. John Murdock is currently the CEO at Centage where he has more than 20 years of experience driving growth in global software and services organizations. Before joining Centage, Murdock was VP of Sales at Kaspersky Lab, the world’s largest privately held vendor of endpoint protection solutions. John has a Bachelor of Science degree in Engineering from Northeastern University and has studied Business Management at Boston University.

Artificial intelligence, machine learning, deep learning - these are all buzzwords in tech today. It seems that everyone is looking to implement this technology into their organizations fearing that they’ll get “left behind” if they don’t. But, what if AI isn’t a practical addition to your organization? What if there are pre-existing ways to solve problems and streamline your operations? This week, T. Scott Clendaniel of Legg Mason shares use cases of when organizations should utilize AI and when they are better off without it. T. Scott Clendaniel is currently the Chief Data Scientist at the Strategic Artificial Intelligence Lab at Legg Mason where he strives to make cutting-edge artificial intelligence accessible to all. Scott specializes in designing and developing new machine learning departments for mid-large size organizations. He holds an MBA and a B.A. in Business Administration & Management from the University of Baltimore.

The amount of data that organizations need to capture to better understand their customers in this modern age can be borderline creepy. And what is the point of collecting all that data if companies cannot harness it for results? Pat Pitre of IBM shares how companies can build a community around their data and best utilize the information they collect. Pat is currently an Analytics Client Architect at IBM. He designs and builds data and analytics solutions so clients can take their data and harness it for results. Pat provides strategic and tactical direction to create stable and cost effective enterprise information systems. He holds an M.B.A from University of Phoenix and a B.A. in Communication from University of Wisconsin-Milwaukee.

Marketing automation, social media management, content management, CRM, advertising, DAM, video, SEO. There are over 10,000 different marketing, sales and ad solutions available to marketers and sellers. Many organizations have redundant or underutilized marketing tools, and some don’t even know what their MarTech stack looks like. Whether you’re part of marketing operations at a large enterprise or running a small business, you need to think critically about the tools you’re using in your campaigns. In this week’s episode, Sheryl Schultz of CabinetM joins Matt to discuss how important it is to identify, organize and streamline your MarTech tools. Sheryl Schultz is the President of CabinetM an organization that helps modern marketing teams build, manage and optimize their marketing technology stacks in a rapidly transforming digital marketing environment. Sheryl holds a B.A. in English from SUNY Albany.