Created with Sketch.
Leading with Data
61 minutes | 3 days ago
How Analytics Helps You Marry Data & Gut Instinct w/ Wendy Zajack
Gut instinct and data-driven approaches are often seen in opposition to one another. But if you want to succeed in your business, you need to marry them. And analytics is one of the best ways to do it. In this episode, Cassidy speaks with Wendy Zajack, Faculty Director & Assistant Professor of the Practice at Georgetown University School of Continuing Studies, about how to use analytics to get the best of both worlds — data and instinct — and increase your marketing success. Wendy is a seasoned marketing professional turned educator, bringing knowledge, creativity, and strategic thinking to life in the classroom to change the marketing and communications industry for the better. She is interested in finding ways to infuse technology to enhance learning and comprehension, leveling the playing field between geographies and genders. She is currently overseeing the development and strategy behind the program curriculum, hiring and recruiting of faculty for two masters of professional studies programs at Georgetown University — Integrated Marketing Communications and the Design Management Communications program. What we talked about: -How COVID is leading to innovation -Why you need to find your customer where they live -How analytics lets you prove your gut with data -The advantages of a multi-generational marketing team -The value of viewpoint diversity -How to hire more diverse employees If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.
47 minutes | 10 days ago
How to Cultivate a Culture of Experimentation w/ Talin Koutnouyan
Most business leaders want certainty — you spend X amount of dollars on marketing, you get X in profit. Often, however, the best results come not from certainty, but experimentation. Maybe we should think a little more like scientists. That’s something Talin Koutnouyan, Vice President of Research & Analytics at Influential, has learned in her career. She joins Cassidy in the latest episode to share the secrets to building a culture of experimentation. They discuss: -Why all organizations, big and small, are similar in their pursuit of growth (and mindshare) -Why experimentation is so important in business and marketing -How to cultivate an experimentation culture -The timeless business and marketing principles that don’t require testing -The 4 skills needed to lead an experimentation culture -Why you need to focus on value, not your product -How to be more intentional about your experimentation If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.
48 minutes | 17 days ago
Building the Modern Data Stack w/ Tristan Handy
This is a story about more people having access to more data. It's also a story about a man who was at the right place at the right time to spot an opportunity from the outside. He saw a handful of visionary entrepreneurs who changed the way analytics was done. Back then, it looked terrible. Today, it's his superpower. That man is Tristan Handy, and he's the founder and CEO of Fishtown Analytics. Tristan joined us on the podcast today to talk about the modern data stack, what it looks like, and how to implement it. In this episode, we discuss: -What the modern data stack is and how it replaced the old-school, less-scalable environment -Where the transform happens in the modern data stack -Why this type of change is so tough on companies If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.
54 minutes | 24 days ago
The Role of Data in Leading Product Management w/ Jaclyn Borgiel
So many claim they’re data-driven these days, the word has lost its meaning. So, how do you go beyond the buzzword and achieve a truly data-driven approach? Even trickier: How can you take a data-driven approach before you even have the data? These are questions Jaclyn Borgiel answers every day in her role as Group Product Manager here at Narrative Science. She joins Cassidy today to share her approach to answering them, and many others that arise, in the realm of product management. Jaclyn is passionate about growing products and teams, and building their long-term strategies to reach full potential. She has had a diverse mix of experiences across B2B, B2C, high growth, and mature products, but is still an action-oriented problem solver at heart. She has worked as a product leader, analyst, product marketer, and strategic and operational expert — following challenges and purposeful missions, while building great teams. Jaclyn was drawn to Narrative Science’s mission to democratize data for all. After her training in tech at a Silicon Valley Strategy and Analytics rotational program, Narrative Science was the ideal next step on her quest to finally make data work for every business person and scale analytical teams across industries. In this episode, we discuss: -Jaclyn’s career trajectory that led to a passion for product management -What product management is and why it matters -How to make “data-driven” more than a buzzword -How to move past vanity metrics and find success metrics -How to bring a data-driven mindset from the outset, when you have no data -Why intuition comes through experience and observation -What excites Jaclyn about her work on Lexio at Narrative Science -Why data storytelling should be simple and actionable -What the future looks like for data storytelling and product management If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.
20 minutes | a month ago
How Data Storytelling Can Improve Your Product w/ Brendan Morley
Every company wants to make their products stronger and many understand how data storytelling can help them behind the scenes. But great storytelling is compelling and human. So, often, sharing those insights with your customers is one of the best ways to improve your product. And nowhere is that more true than in sports. In this episode, Brendan Morley, Senior Technical Digital Product Manager at PGA Tour, breaks down how to use data storytelling behind closed doors as well as right out in the open. Brendan is a talented and accomplished Technical Product Manager with progressive responsibility leading digital initiatives for the PGA TOUR's core group of products. As a perceptive and innovative problem solver, Brendan has developed a number of V1 products. He is able to see complex business needs and processes clearly and form solutions to intractable problems with customer-focused passion. What we talked about: -The growing popularity of golf -The products PGA Tour offer and how data storytelling improves them -The wide range of data use for PGA Tour -The difference between data and data storytelling -How data is shaping the future of the fan experience -How PGA Tour sees scale from a technology perspective If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.
69 minutes | a month ago
How Data Storytelling Gives You a Powerful Voice for Change w/ Stephen Harris
The art of data storytelling isn’t just a nice-to-have function in your business. Effectively communicating data can mean the difference between being honest with regulators and lying to them. And it can even mean the difference between life and death. That realization is one Stephen Harris, Corporate Vice President, Global Head of Data Science & Growth Analytics at Microsoft, learned the hard way as he contemplated whether he or others working on the data at the time could have prevented the Space Shuttle Columbia crash. Data storytelling is your voice. And the right stories are how you get the outcomes you want. Stephen’s 27 years of professional experience are filled with numerous successes. He also promotes transparency in his failures and mistakes as lessons learned and toolkits to accelerate growth. He is an energetic and results-driven leader, able to navigate with precision to assimilate and influence a net positive change in any environment. His insatiable thirst to discover, build understanding, share and foster collaborative dialogue fuels his passion to identify and solve complex business issues. Stephen brings a broad and deep set of strategic and tactical approaches built from his experiences with highly competitive multinational fortune 100/500/1000 corporations, management consulting, tech and public sector. He has successfully led through local, national, and global crisis, (9/11, Space Shuttle Columbia, Katrina) including recent successes with the global COVID-19 pandemic and America’s corporate response and action plan to social injustice for the Black Community. In this episode, we discuss: -How Stephen’s personal life experience has informed and guided his professional experience -Stephen’s experience with Space Shuttle Columbia -The problems with obscure and fragmented data -Tips for aspiring data leaders -How to build a culture willing to receive change If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading With Data in your favorite podcast player.
56 minutes | a month ago
Why Full Stack Developers Own the Whole Process w/ Steve Griswold
Technology and data are powerful tools that allow your business to see into the future. But prediction sets by themselves don’t solve business needs. They need to get into the hands of the decision makers to be actionable. That’s the number one motivator for Steve Griswold, Senior Data Scientist at US Foods, in his role as a full stack developer in a large enterprise. Steve has a stellar background in programming and an amazing ability to understand complex and robust datasets by meticulously breaking down each portion of the project and returning a highly efficient program that achieves phenomenal results. His successes include enabling a small, six-person team to review 200,000+ images in just a few weeks and automating 20 weekly tasks to allow more time for business analysis and solution enhancement. In this episode, we discuss: -Steve’s background, including how he found out he was already a data scientist -Common misconceptions leaders have when it comes to data science -The ins and outs of full stack development -How US Foods approached, and structured, its data science program -How a data scientist tests hypotheses -Why leaders need to allow their data scientists time for learning and experimentation If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Leading With Data in your favorite podcast player.
39 minutes | 2 months ago
Data & Design: Innovating Experience with Data Storytelling w/ JoEllen Kames
Data can fundamentally transform customer experience. The flexibility and power of data opens up a wide array of possibilities for evolving delightful experiences that everyone can enjoy. In today’s episode, Cassidy is joined by JoEllen Kames, Director of Product Design at Narrative Science, to discuss her mission to redefine the way the world interacts with data. Here are a few key takeaways: -The value of human-centered design (and why it’s evolving into the more dynamic “computational design”). -How technology and design work together to create experiences. -How to design for paradigm-shifting innovation (and why Apple’s “home” button was genius). -The implicit beliefs about data and how to overcome them -What the future holds for data and design. If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here. Listening on a desktop & can’t see the links? Just search for Narrative Science in your favorite podcast player.
50 minutes | 2 months ago
Accurate, Actionable Data Unlocks Your Marketing Potential w/ Darrell Alfonso
Data quality is rarely considered sexy. But when it comes to all the cool marketing stuff your company wants to do, it should be. Accurate and actionable data unlock your organization’s true marketing potential. That’s one of the key insights Darrell Alfonso, Global Marketing Operations Manager at Amazon Web Services, brings into today’s episode on how marketing data can make a real difference in your organization. Named one of the "Top Martech Marketers to Follow" 2020 by Martech Alliance, Darrell writes about marketing and how to improve your work and your life. Darrell has worked at startups, mid-sized companies, and nonprofits. He’s come to realize that it's about the people, not the platforms - but it's best to keep your eyes on both. In his current role as Global Marketing Operations Manager at Amazon (AWS), Darrell empowers hundreds of marketers to create exceptional digital experiences for their customers. What we talked about: -Working from home & the effect on inclusivity Why you need a niche, particularly a technical one -The evolution of marketing automation -The difference between marketing automation & marketing operations -Why strategy always comes before technology -Why marketers are increasingly innovating tools themselves -Data quality should be a sexier topic -How to bridge the data gap between leadership & the teams executing -The value of simplification for communicating technical information -How to craft content that resonates with your audience -Why it pays to figure out best practices for yourself Check out this resource we mentioned during the podcast: “The Practice” - Seth Godin If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
47 minutes | 2 months ago
How Data & EdTech Can Humanize Education in a Remote World w/ Keith Westman
Even now in the age of remote learning where technology is king, schools have the opportunity to humanize education again. Parents and teachers just have to ask the right questions and look at the right data. Over the course of his career, Keith Westman, COO at Otus and former educator, has learned a thing or two about the intersection of data, analytics, and education. He began his career as a third grade teacher. From there, he moved into a role as Director of Technology at an elementary school, and was last the principal at a middle school in Morton Grove, IL. His background in education fuels his passion for getting the right data and the right platform in the hands of teachers so that they know how and when to intervene with their students. This week, Keith joinus us on the podcast to discuss how data can make education more human and here’s what you’ll learn: - Why smaller, more frequent measurements of students’ progress are more effective than infrequent standardized tests - How having the right data and the right platform can help teachers intervene when needed - How new EdTech can be scaled to reach underserved students - What people are getting wrong with remote learning and the future of education If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
45 minutes | 3 months ago
Every System will Break, So Build a Culture that Won’t w/ Tim O'Keefe
In business, growth is a good thing. But in hypergrowth, you’re growing so fast that every system and process you have breaks in record time. How do you handle that? For Tim O'Keefe, Head of Data Analytics at Canva, it all boils down to culture. With some careful consideration, you can build a culture that can’t be broken (even if everything else is). This week Tim joins our guest host, Stef Cladwell, on the show to share the challenges of heading Data Analytics at one of the fastest growing companies on the planet. What they talked about: -The challenges of hypergrowth -The transition from academia to business -Why culture reigns supreme -How to build a cohesive team (even when that team is growing exponentially) -Why trust is a superpower for getting the best work from your team If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
48 minutes | 3 months ago
How to Use Data Storytelling as a Force for Good w/ Dan Platt
We’re living through the biggest data storytelling event in history. Worldwide, COVID data is impacting everyone. And it’s proof that data storytelling can be used as a force for good. In this episode, Cassidy is joined by Dan Platt, Senior Principal of Market Innovation here at Narrative Science and the founder of our Data Storytelling for Good Initiative, to discuss how data stories can be used to make the world a better place. The combination of Dan’s background in economics, PR and journalism have culminated in him becoming the unrivaled data storyteller he is today. While getting his graduate degree in journalism from Northwestern University, rather than see advancements in data technology as a threat, he was excited by the potential of harnessing that power to tell better stories and, ultimately, make the world a better place. At Narrative Science, Dan has fulfilled and surpassed these ambitions throughout the evolution of the organization, including spearheading the Data Storytelling for Good Initiative, which empowers non-profit organizations with data tools that allow them to spend more of their time improving the world. As you can see, there is a good reason Dan has the rare honor of being written into a client’s contract as their go-to guy within the company. In this episode, we discuss: -Why journalism has become a valuable degree in tech -The growing public awareness and acceptance of the power of data technology -The client who wrote Dan into their contract -Why Dan wants people to interact with data stories in tools they already use -How to communicate technical information to non-technical people -How to use data storytelling for good -How COVID proves data affects everyone’s life If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
44 minutes | 3 months ago
Data, The Universe & Everything: Telling Better Data Stories w/ DS Panel
Storytelling is a trait universally shared by human beings. But does that make data storytelling innate or is it a skill we develop? This week, you’ll hear from 3 experts about how they’ve strengthened their data storytelling muscles and how putting it to practice has improved the businesses they’re a part of as well as their careers. Our guests include: Leslie Squires Gimple, Senior Manager, Reporting and Analytics at Rackspace. Having been with the company for about 13 years now, Leslie has risen through the ranks at Rackspace, where she is currently leading the software developers, BI developers, as well as visual analysts. Kimberly Herrington, Data Journalist and Creator of #BuffaloBusinessIntelligence. Kimberly has a wealth of experience getting hands-on with data in the health world, and is excited to find stories in numbers. She stays on top of health analytics trends to create clever data stories and content that bring value to the organization. Sunita Menon, Global Data Executive, Freelance. Sunita is a global executive who has transformed the business using data-driven strategies to achieve productivity, cost savings and revenue growth, while building data-driven organizations, governance and mindsets. This insightful conversation comes from our event, Humanalytics, where we talked about: -What data storytelling means -Whether data storytelling is a skill, talent or business function -How data storytelling drives decisions, insights and actions -The democratization of data and data storytelling -Using data storytelling to build relationships -The difference between data storytelling and data literacy -Data’s role in transparency and diversity and inclusion Check out these resources we mentioned during the podcast: Charty Party If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
58 minutes | 4 months ago
How to Build Trust in Data Across Your Organization
Data strategy in healthcare often feels like it’s stuck in the 1990s. Trying to gather insight is like wandering hopefully along the aisles at Blockbuster rather than using a service as seamless as Netflix. During the global pandemic, some healthcare leaders were even walking hospital floors with clipboards counting COVID patients in beds. Why? Lack of trust in the data and reports created for them. The internal and external motivations for healthcare to take data more seriously have only been accelerated by the impact of COVID-19. As a data leader who started his role as Executive Director of Informatics & Analytics at MemorialCare during the pandemic, Jared Nunes knows a thing or two about building a data strategy that grants trust in healthcare. After gaining clinical experience working in the health system and running his own construction business, Jared joined a healthcare data recording company where he taught himself the technology to shift the company fully online. Over the course of his career, he learned to be nimble — to stay off the bleeding edge but on the cutting edge, as he puts it. In this week’s episode, Jared shares insights from his three decades of work experience in a fun and fantastic conversation about: -Advice for healthcare leaders to learn from other industries -How to build trust in data at your organization and why it’s important -The 4 pillars needed before we can leverage advanced analytics and data science -The strategic initiative of leadership vision (and the 7 goals of MemorialCare) -Demonstrating a vision of what’s possible in healthcare data Hear more and subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
50 minutes | 4 months ago
How Healthcare Leaders Tackle the Toughest Data Challenges w/ Robert Emerson
When you arrive somewhere new and you are tasked with overhauling complex and problematic legacy data systems, where do you begin? Well, before you even start to build your strategy, you need to know the business goals you are trying to achieve, have executive support, and understand why past efforts to achieve these goals have failed. This approach is how Robert Emerson, VP and Head of Strategic Data Management at Blue Cross NC, has consistently led teams to tackle some of the toughest data challenges in Healthcare, a complex industry with a dire need for modernization in its data and analytics. As a perceptive, creative, and logical data leader, data scientist, and advanced analytics strategist, Robert prides himself on his ability to effectively communicate with technical and non-technical colleagues alike. Robert earned a PhD in neuroscience, but moved into the healthcare industry shortly thereafter, where he served in a variety of different data and analytics leadership roles. He has led teams to develop, optimize, and automate operations staffing models, and developed strategic data maturity plans. These plans include creating comprehensive cloud migration initiatives, developing dashboards to deliver business insights, harnessing predictive models for proactive decision-making, and integrating machine learning to forecast operations supply and demand. In his current role at Blue Cross NC, Robert is leading the build-out of the organization’s data strategy, overseeing its data management and analytics platform, and building its enterprise and data governance office. He goes above and beyond to ensure that his efforts deliver high-quality data that drives both insights and business outcomes. What we talked about: -The data challenges present in healthcare -Considerations when modernizing complex legacy systems -How business strategy should guide data strategy -The importance of the cloud for modern data and analytics (and the challenges migration present) -How to master your data from the beginning and get it right the first time -The role regulations and privacy concerns play in modernizing data systems -The attributes to look for when hiring for your teams -The important role diversity of thought plays in any team -Why data leaders need to stop underestimating the need for change management If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
65 minutes | 4 months ago
Data Transformation: Buy-in, Belief & Diverse Viewpoints w/ Alexander Soria
Unfortunately, not everybody thinks like a data scientist. Your leadership team doesn’t care about your fancy tech or the cool way you found the answers, they just care about the answers they need to move the business forward. That’s why when you tell them a data story, you need to make sure you’re speaking their language. That’s just one of the insights that helped today’s guest, Alexander Soria, Vice President of Data & Analytics at Mindbody, move up the ladder in his analytics career. Before joining Mindbody, Alex focused on strategic analysis to help decision-making for future projects, programs, promotions, and executive decisions when working with companies including Zappos, Vancouver Analytics Group, and Elicit. At Mindbody, he has moved into a strategic data-position where his focus shifted from being solely centered on data science to also include data engineers, business intelligence, business analysts, and data governance. This holistic approach has given him a deep appreciation and understanding of the entire data pipeline. What we talked about: -Why data teams should be Switzerland in any organization and remain neutral -How to get executive buy-in (and funding) for large data projects -How to get the right people in the right positions -Why diversity of thought is essential for a thriving team -The qualities that make a great analytics leader -Why data storytelling requires a learn-by-doing approach -What a future where data is heavily regulated means for data leaders If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
54 minutes | 4 months ago
Why Technology Without Humanity Is Meaningless w/ Guy Levy-Yurista
When you use data to tell a story, you’re engaging in something fundamentally human. Narrative, meaning, communication — stories are what separate us from the other animals. And as data leaders, we need to always put the human front-and-center in our approach. That’s one of the many pieces of sage wisdom Guy Levy-Yurista, Chief Strategy Officer at Sisense, shared in the latest episode of Leading with Data. And Guy should know — he might just be the most interesting man in the world. He’s an executive leader and product and technology expert with over 25 years of experience in Fortune 500 startups and venture capital environments. He's been successful in developing and driving strategies to launch and strengthen product portfolios, increase revenue and profit, and improve competitive market positioning. Guy’s led 2 startups through liquidity events within 4 years. He has in-depth knowledge of emerging technologies and enterprise B2B, mobile communications and cybersecurity. And, of course, he is currently Chief Strategy Officer at one of the world's most innovative and fastest growing companies, Sisense, which is currently valued at over a billion dollars. What we talked about: -Putting the human at the center of technology -How a good leader earns their teams’ loyalty -The 3 elements necessary for analytics -The revolutions in AI, machine learning, and quantum computing shaping the future of analytics -How data storytelling taps into the core of what it means to be human If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
56 minutes | 4 months ago
How to Demonstrate Business Impact as a CDO w/ Shwetank Kumar
As a CDO, showing leadership the impact your work has on the business is critical. Data-driven business outcomes are essential to the future of your role, as well as the future of the company. So, it’s best to demonstrate your effectiveness right off the bat. To do that, though, takes a few insights. In this episode, Shwetank Kumar — CDO at Freedom Financial Network and Founder of Bayesian — shares expert tips for data leaders demonstrating their impact on businesses. Plus, we talk about… - Best hiring practices for a data team - How Shwetank’s academic past informs his role in business - The challenges of experimentation at companies with a lot of red tape - The future of AI and open source technologies If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
59 minutes | 5 months ago
How Data-Informed Decision Making Can Grow Companies From Millions to Billions w/ Elissa Fink
Data alone can’t do anything. It’s up to you to ask questions, make judgements, and have a human approach to make creative, data-informed decisions. Elissa Fink, Former CMO of Tableau, joins Leading with Data on this episode to break down data-informed decision making and help listeners understand how to grow this powerful skill. In this episode, we discuss: -How to make data more human and accessible -Translating data into creative decision making -Changing behaviors and habits around data -How she used data-informed decisions to grow Tableau from millions to billions in revenue For more information, check out Leading with Data or connect with us on LinkedIn. To hear more interviews like this one, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
64 minutes | 5 months ago
Recommendation Engines and the Future of Analytics w/ Michael Schrage
As AI & machine learning software continues to get smarter, the field of personalized recommendations is only going to continue to grow. But just how far will it go? If you think of a nine-inning baseball game, we’re likely somewhere in the third inning, meaning there is still a lot of game left to play. So what advancements are coming, and how do we navigate the world of data? In this episode of Leading With Data, Michael Schrage, Research Fellow at the MIT Sloan School of Management, talks all about the future of recommendation, as well as his new book, Recommendation Engines. In addition to his role at MIT, Michael is also a visiting fellow at the Imperial College Business School of Innovation & Leadership, as well as an author of multiple books, including his most recent publication, Recommendation Engines. In this episode, we discuss: -The motivation behind Michael’s latest book, Recommendation Engines -The future of data aggregation and why we’re just getting started with advanced recommendation analytics -The Customer Lifetime Value (CLV), and why that is more important than any sale you can make in the short term -What causes most businesses to fail when it comes to digital transformation If you want to hear more, subscribe to Leading with Data on Apple Podcasts, Spotify, or here.
Terms of Service
Do Not Sell My Personal Information
© Stitcher 2021