Leading with Data

Leading with Data

By Narrative ScienceBusinessTechnology
Download on the App Store

Leading with Data episodes

  • The Key to Radical Innovation w/ Wil Reynolds

    How to survive, let alone succeed, in business has been changing slowly for decades. In the last 5 to 10 years, we’ve witnessed a much more radical transformation — a need for modern-day businesses to challenge the status quo. To reject beliefs that are widely and blindly accepted across the industry and create something new.

    This is the key to innovation according to our latest guest, Wil Reynolds, VP Innovation at Seer Interactive — a digital marketing agency that specializes in innovation across SEO, PPC, and Analytics.

    When Wil founded Seer in 2002, it was a one-person search firm. Today, it’s comprised of a talented team of over 150 people who strive for leadership across the marketing industry. Seer was founded on the belief that when you share your time and talents with the community, everyone benefits. Wil’s vision was to give everyone the flexibility they needed to contribute to the community in meaningful ways. Over a decade later, this still rings true.

    In this episode, he joins us to share his unconventional approach to running an agency and his philosophy on innovation.

    We also dive deeper into:

    • Wil’s entrepreneurial journey
  • His decision to step down as CEO
  • How to create an open & innovative workplace environment
  • The importance of challenging executive leaders
  • How to define innovation
  • The value of thinking differently
  • How to balance running a high-growth business & family
  • Check out these resources that were mentioned in the show:

    • Learn more about Seer Interactive
  • Subscribe to Seer Interactive on Youtube
  • Connect with Wil on LinkedIn
  • Read Wil’s blog on Medium:” If you want help with work life balance, define it.”
  • If you want to hear more, subscribe to Leading with Data onApple Podcasts,Spotify, orhere.

    Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.

    46 min
  • The 4 Key Indicators of a Thriving Data Culture w/ Ganes Kesari

    With so much data all around us, more and more businesses are joining the pursuit of data culture. One may even say it has officially become a buzzword in the analytics community.

    But, building a data culture needs to be treated as a strategic priority — not just a buzzword label.

    So, what are the building blocks required to create a thriving data culture in your organization?

    For the answer, we turned to Ganes Kesari, Co-founder and Chief Decision Scientist at Gramener.

    Ganes is an entrepreneur, AI thought leader, author, and TEDx speaker. Ganes advises executives of large organizations on data-driven decision making. His expertise lies in the application of data science to solve business challenges, and in building teams to promote a culture of data.

    In this episode, he breaks down the 4 key indicators of a lasting data culture.

    We also talked about:

    • Why executives need to be the biggest advocates for data-driven change
  • The mindset shift needed to seed a data culture
  • The importance of having a technology strategy
  • The role & authority of a Chief Data Officer
  • Picking the right metric to measure success
  • How to identify your internal data champions/early adopters
  • The model for measuring data maturity
  • How to define “data culture”
  • Is data & analytics overvalued? 
  • Check out these resources that were mentioned in the show:

    • Check out Ganes’ article on Forbes about this topic
  • Learn more about Gramener
  • Sign up for Ganes’ “Our Data-Driven Future” newsletter
  • Connect with Ganes on LinkedIn 
  • If you want to hear more, subscribe to Leading with Data onApple Podcasts,Spotify, orhere.

    Listening on a desktop & can’t see the links? Just search for Leading with Data in your favorite podcast player.

    47 min
  • How to Win Over Customers with Data Products w/ Seth Rosen

    We all know the potential value data can bring to businesses. But the potential to deliver that same data and value to external customers is often left untapped. 

    Many companies today feel like they should be doing more with their data in service of their customers. Yet, they often struggle to unlock it and deliver it in a way that accounts for the end user’s experience. 

    As Co-Founder & CEO of TopCoat Data, Seth Rosen , sees this every day and believes approaching data with a product mindset can be the key to unlocking this untapped value.  

    Seth joins us on the podcast to share how companies can build data products that win over customers and create real advantage over their competitors. 

    At TopCoat, Seth and his team help companies and data teams everyday build customer-facing analytics products. Previously, Seth held senior product roles at Drync, Catalina, and LivingSocial. Seth was a co-founder at BuyWithMe.com, a leading social eCommerce company that competed with Groupon and LivingSocial, from January 2009 until it was sold to Gilt Groupe in November 2011. Prior to BuyWithMe, Seth was a consultant at PricewaterhouseCoopers in the System and Process Assurance group, working mainly with large financial institutions.

    In the episode, we cover a variety of topics including: 

    • Where Seth finds inspiration for his Twitter
    • The problem Topcoat Data aims to solve
    • The pitfalls of traditional BI tools
    •  Modern data team looks more like software product development.
    • The challenge in blending software development and data teams.
    • Why companies treat their product data as an afterthought
    • What a modern architecture looks like for your data product.
    • Does every product ultimately become a data product?
    • Why embedded analytics usually = a poor user experience
    • Check out these resources that were mentioned in the show:

      • Check out TopCoat Data 
      • Follow Seth on Twitter or connect with him on LinkedIn 
      • 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 min
      • The Art of Thinking Like a Data Scientist w/ Harpreet Sahota

        Most businesses today are sitting atop an untapped mine of data, and they need a skilled workforce to uncover the real gold. 

        Enter the Data Scientist. The Sexiest Job of the 21st Century.

        The demand for this role has increased rapidly— gaining significant traction across industries. The spotlight has caused many to wonder “Can I be a data scientist?” What are the skills I would need?”

        One need look no further than Harpreet Sahota, Data Scientist at Comet and Host of The Artists of Data Science Podcast — the only personal growth and dev elopment podcast for Data Scientists.

        He’s a thought leader in the Data Science space with over a decade of education, experience, and technical chops in the field. By day, he’s working with leadership to define and execute strategies that demonstrate the value of the data at Comet. By night, he’s mentoring and providing technical guidance to nearly 2000 up-and-coming data scientists.

        Harpreet is on a mission to help develop today’s data scientists — and not just their technical skills. But their creativity, critical thinking, and ability to actually think like a scientist.

        In this episode, he shares his advice for emerging data scientists as well as analytics leaders looking to build their first data team. 

        We cover a variety of topics including:

        • Harpreet’s career journey & future aspirations
        • Why Harpreet started a podcast
        • The evolution & future of data science
        • The right way to build a data team
        • How to hire data scientists
        • The 3 things you need to do as a data scientist
        • What skills make for a good data scientist
        • Technological advances in the field
        • Check out these resources that were mentioned in the show:

          • Register for a Data Science Happy Hour 
          • Listen to The Artists of Data Science Podcast 
          • Connect with Harpreet on https://www.linkedin.com/in/harpreetsahota204/LinkedIn 
          • 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.

            36 min
          • How to Improve Data Adoption Through Human-Centered Design w/ Ally Margain

            It is no news that organizations today are still having challenges with data adoption. 

            However, one important factor that often goes undiscussed is the lack of focus on the end user experience while designing and building data products.

            But, imagine if every data team had a UX designer. Imagine if we began treating data as any other product. Imagine if we began applying traditional UX design principles to our data in order to create more actionable experiences. 

            As UX Design Lead at Visa and former Design Lead of Data Strategy and Transformation at USAA, Ally Margain, knows the impact of this approach better than anyone.

            Prior to her new role at Visa, Ally played a role in leading the transformation of internal enterprise data experiences, processes and data literacy products at USAA – making data human and accessible so their employees could make more swift, data-informed decisions. 

            Earlier in her career, she exercised a different creative muscle working at a Hispanic market Ad Agency — working on accounts like Yoplait, Totino’s Pizza and Western Union as Art Director. 

            In this episode, Ally shares how to re-energize data & analytics experiences and improve adoption through human centered design. 

            She also discusses:

            • The role of a UX designer
            • How to apply human-centered design to data
            • Thinking about data as a product
            • How to build "data" personas
            • Why data needs a rebrand
            • How to leverage design systems for scaling data initiatives
            • The ROI of hiring a UX designer for your data team
            • 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.

              43 min
            • Charting Your Own Course as a CDO w/ Wendy Batchelder

              Chief Data Officers. 

              They are the voice of data and the leaders of transformation within an organization. Today, their role is imperative to driving growth and innovation. Over the years the role of the CDO has evolved, gaining significant traction in the industry. 

              However, the role’s responsibilities remain pretty undefined. 

              Therefore, it is often up to these individuals to define their role, chart their own course, and pave the way for data to be used meaningfully across the company.  

              As the first CDO of VMware, Wendy Batchelder, knows this challenge better than anyone. 

              As Chief Data Officer, Wendy is responsible for the company’s business insights, analytics solutions and delivering excellence in data management across VMware. 

               Wendy has spent over 15 years in leadership roles at a variety of global companies spanning various industries. Prior to her role at VMware, she held various leadership roles at Wells Fargo, including Head of Enterprise Master & Reference Data and Head of the Corporate Risk Data Office. 

               In this episode, Wendy shares practical tips on how to spearhead a data-driven transformation and succeed in the Chief Data Officer role. 

              We also discuss:

              Wendy’s career trajectory that led her to VMware

              • Building diverse data teams
              • How to measure the success of a data transformation
              • How to improve data literacy organically
              • What is really means to be data-driven
              • Wendy’s leadership philosophy
              • Data management, governance, and the notion of “access”
              • The future of the CDO role
              • 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 min
              • How to Build a Winning Data Strategy w/ Jason Krantz

                Moving toward a more data-driven culture is certainly attainable, and it starts with a data strategy. 

                A data strategy is often viewed as a technical exercise, but a modern and comprehensive data strategy addresses more than the data — it is a roadmap that defines how data will address business objectives and generate real value. 

                And no one knows how to create that roadmap better than Jason Krantz, Founder & CEO of Strategy Titan, a data analytics company that helps organizations grow their top lines, bottom lines and valuations by "weaponizing" data and transforming it into a competitive advantage.

                With over 10 years of business analytics, data science, and strategic leadership experience in public and private equity owned business, Jason specializes in creating award winning analytics strategy, capabilities, teams, and solutions that drive tangible revenue and EBITDA improvements.

                He's also co-host of Transformation Nation, a podcast all about personal and professional transformation. With Jordan Morrow by his side, the two share strategies and tactics to maximize your potential and start investing in you.

                Jason joins us on the podcast to share his tried & true process for helping companies build a winning data strategy. 

                We also discuss:

                • Becoming an entrepreneur & the origin of Strategy Titan
                • How the pandemic has accelerated digital transformation
                • Aligning your data strategy with business objectives
                • How companies are tackling data strategy backwards
                • How to ask the right questions about your data [the 5 question approach]
                • Thinking about your data as tool to answer questions
                • How to establish trust with business leaders
                • How business literacy will cross over into data literacy
                • If you like what you heard, check out Strategy Titan’s new training program (currently in development — private beta coming soon) and sign up to be notified of its launch: https://www.strategytitan.com/training.html

                  1 hr 1 min
                • The Problem with Big Data [And How to Solve it] w/ Jennifer Prendki

                  Big Data is overrated. 

                  We don’t need more volume — we need more diversity

                  We can do more with less. And someone finally needed to say it.

                  That someone is Jennifer Prendki, Founder and CEO at Alectio , the world’s first Data Prep Ops platform. Before that she held senior leadership positions in data science and machine learning at Figure Eight, Atlassian, Walmartlabs among others. 

                  She also has a PhD in particle physics, from Sorbonne in Paris, which greatly influenced her belief that we can move away from the brute force of Big Data into the precision of Smart Data.

                  In this episode, we discuss:

                  • Transitioning from particle physics to entrepreneurship 
                  • How to do more with less data
                  • Why Big Data is overrated (and why we should strive for Smart Data, instead)
                  • How principles of human learning apply to machine learning
                  • How to tackle Big Data using automated data curation
                  • The economics of machine learning
                  • The ins and outs of Data Prep Ops
                  • 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.

                    1 hr 1 min
                  • The Blueprint for Data Literacy Transformation w/ Valerie Logan

                    It seems that everyone is talking about data literacy today. CDOs position literacy among their top priorities and for many organizations, it is one of their most pressing needs. But, how do you actually create data literacy? What’s the best approach? How do you get started?

                    In this episode, Cassidy chats with Valerie Logan, CEO & Found er at THE DATA LODGE , about her pragmatic approach to teaching and promoting data literacy within your organization.

                    Valerie is on a mission to train and certify the world’s first data literacy program leads across the globe…from her house in the woods. This mission led her to start THE DATA LODGE — a virtual home for growing data literacy, where she leads bootcamps and keeps a resource library for data literacy advocates.

                    Before that, Valerie was a VP at Gartner, where she led their Data & Analytics Group and brought to market the idea of Information as a Second Language (ISL). She has also been a leader at companies like HP, Knightsbridge Solutions, and IBM. As a researcher, she focuses on the area of emerging leadership models, including the role of the Chief Data Officer (CDO).

                    We discuss:

                    • The origin and framework of THE DATA LODGE
                    • Valerie’s teaching & program methodology
                    • How to define data literacy
                    • Three elements that make up data literacy: mindset, language, and skills
                    • ISL and mastering the VIA model
                    • The signs & symptoms of a lack of data literacy
                    • How executives can model the way & advocate for data literacy
                    • Why data literacy is one of the biggest invisible problems out there
                    • Check out these resources we mentioned during the podcast:

                      • We Should All Be Millionaires: A Woman’s Guide To Earning More, Building Wealth, and Gaining Economic Power by Rachel Rodgers 
                      • 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.

                        1 hr 4 min
                      • When to Apply Deep Learning (And When Not To) w/ Nate Nichols

                        At Narrative Science, we’re super proud of the AI technology we’ve built. Lexio is the world’s only automated data storytelling system and is making its way into the tech stacks of more companies every year. 

                        When people hear what our tech can do, they often assume that it must be built with some of that newfangled machine learning (ML) or deep learning (DL) that everybody’s talking about. Nope!

                        For this episode, we wanted to experiment with a shorter format that we’re calling Leading with Data: Short Stories. Our guest guinea pig is our very own Chief Scientist, Nate Nichols, who provides insight into the applications of NLP/ML in our everyday lives and our product, Lexio. 

                        We also dig deeper on:

                        • How our data storytelling technology has evolved
                        • The types of NLP that exist in the market today and where we see it in our everyday lives
                        • When to use a deep learning approach & when not to
                        • Why we don’t use deep learning to write data stories in Lexio
                        • How we do use ML within the broader Lexio experience
                        • How this technology will advance over the next 5-10 years 
                        • Advice for technologists evaluating these technologies as a part of data & analytics solutions
                        • Resources for getting smarter on NLP and machine learning
                        • Nate also recently wrote a blog on this topic where he provides more detail into why we don’t use deep learning to write data stories in Lexio. 

                          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 min

                        About Leading with Data

                        From the publisher's feed

                        Leading with Data is a podcast dedicated to sharing the tried and true strategies that make analytics more human and inspire data-driven decisions across your company. If you have ever wished to be a…