62 episodes

Welcome to the podcast of The Analytics Show. We will learn from the leading industry experts using data and analytics to solve the problems and create values in practice.

We will also learn where their industry is heading to and how data and analytics will shape the industry in the future. Most importantly, how they are preparing their business for digital transformation and disruptions in the future.

The Analytics Show Jason Tan

    • Business
    • 5.0 • 12 Ratings

Welcome to the podcast of The Analytics Show. We will learn from the leading industry experts using data and analytics to solve the problems and create values in practice.

We will also learn where their industry is heading to and how data and analytics will shape the industry in the future. Most importantly, how they are preparing their business for digital transformation and disruptions in the future.

    E61 - Jason Tan - The 3 Critical Rules of Building an Advanced Data Analytics Platform

    E61 - Jason Tan - The 3 Critical Rules of Building an Advanced Data Analytics Platform

    This is a special episode from The Analytics Show Podcast, in the sense that it’s the second solo episode from your host Jason Tan.

    This episode is all about me sharing my expertise and knowledge of embedding and automating data and analytics so that you can dynamically optimise your revenue by going beyond dashboards.

    I have been working on understanding how modern high-performing organisations like Amazon, Netflix, Facebook, and other data-driven companies from around the world are using data science to not leave money on the table. I have also been experimenting with new techniques and strategies in my own businesses and for our clients.

    I have worked on developing and streamlining the complete process of embedding and automating data analytics for your business.

    In this special episode, I am sharing with you the 3 critical rules of building an advanced data analytics platform:


    Move beyond the dashboard.

    Embed data analytics into your business operations.

    Integrate the analytics platform with the legacy system.


    I also share about:


    Some real-life examples of Amazon, Netflix, and other big companies.

    Various use cases of embedding data for different kinds of businesses.

    A deep dive into the special use cases for the banking and insurance industries.

    Why this automated and dynamic use of data analytic is more important than ever before in this digital age.

    Knowing at which phase your customers are and aligning product messaging and placement accordingly.

    How automation comes in to dynamically adjust all that in real-time.

    How embedding and automating data analytics create the revenue optimization engine.

    The differences between the traditional and modern data analytics platforms.

    Integrating the analytics platform into data and table format to speed up the whole process with examples.


    Finally, I wanted to share with you that I am teaming up with Bright Data to run an online masterclass on 28 and 29 of June 2021. The topic we will be discussing is how not to leave any money on the table with a revenue optimisation engine. In this masterclass, I’m going to share with you


    What’s the world-class revenue optimisation engine used by the insurer and leading retailers.

    I will show you a 5 modules implementation process and every single step on creating an end-to-end solution that you can take back and start implementing at your organisation.

    Why this will boost your revenue by at least 10% without significant large sums of investment necessary.


    Here’s the registration page for the free masterclass: https://www.bright.events/event/0498c969-2144-4d11-8d5a-6588fd0978f0/summary

    Share this podcast with your friends or colleagues. There are many practical tips for data analytics that they can borrow from top businesses to use in their own work.

    BusinessAnalytics, DataAnalytics, Automation, BusinessOperations, DataScience


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    • 21 min
    E60 - Albane Flamant - Data Analytics in Social Listening & Consumer Insights to Drive Revenue

    E60 - Albane Flamant - Data Analytics in Social Listening & Consumer Insights to Drive Revenue

    Albane Flamant is the Head of Brand & Data Storytelling at Talkwalker, social listening and consumer insights services provider to brands all over the world. Talkwalker was named a Leader in social listening by The Forrester Wave™ Report.

    Albane joined Talkwalker as a Digital Communications Officer in 2015 and in this very short period of time she was promoted five times within the organisation and became the head of brand & data storytelling.

    Previously, she was in charge of the development of Talkwalker's presence & marketing activities in the French market and the US markets, from influencer relations to content marketing.

    Talkwalker helps in making sense of consumer & customer feedback across all channels. Their listening and analytics tool enables more than 2,000 companies worldwide to protect their brands, measure their impact and gain the key consumer insights that drive purchase decisions.

    Going beyond social listening, the company also offers an AI-powered conversational intelligence platform that connects the dots between what customers think, say, and do.

    Albane has a Dual Master in Journalism & International Affairs from the Institut d'Etudes politiques de Paris and bachelor’s degrees in law and communications.

    She started her career in communications, writing, journalism, and research and still continues to be a prolific writer. She writes at the Talkwalker blog regularly.

    In this episode, Albane offers a comprehensive view of data analytics in social listening & consumer insights.


    The story behind Talkwalker - How Talkwalker got established, its vision, and present situation.

    How data analytics is at the centre of social listening and sentiment analysis.

    How sentiment analysis works.

    How everyday brands are using sentiment analysis to improve customer experience and drive revenue.

    The use of AI & ML technologies in social listening, consumer insights, and product research.

    Benefits of podcast monitoring for brands and how Talkwalker monitors 35 thousand podcasts.

    Utilizing customer feedback from all the available channels to improve customer experience.

    The place of review platforms and facing fake and bot reviews and activities.

    Some of the fascinating real use cases of Talkwalker technologies.

    If you are a CMO and you want to always be on the pulse of your customer sentiment around your brand and products, this is the episode you shouldn’t miss!

    BusinessAnalytics, SocialListening, ConsumerInsight, CustomerExperience, DataScience


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    • 36 min
    E59 - Sakhee Dheer - Data-Driven Marketing - Marketing “Marketing” to Marketers

    E59 - Sakhee Dheer - Data-Driven Marketing - Marketing “Marketing” to Marketers

    Sakhee Dheer is the Head of Digital Marketing, Global Business Marketing - Asia Pacific at Facebook. She is all for data and insight-driven marketing and business development.

    Facebook (NASDAQ: FB), as you all know, needs no introduction with its 1.84 billion daily and 2.80 billion monthly active users worldwide. Sakhee has been working at Facebook for around five years now. She is responsible for all aspects of Digital Marketing and Media across Asia to inform and promote advertising on Facebook's family of apps. Sakhee drives end-to-end integrated digital marketing efforts to bring the best impact for Facebook Business's content and campaigns. She manages a team of marketing managers across the APAC region.

    Before joining Facebook, She was the Head of Digital Marketing & Analytics, Asia Pacific at Microsoft. At Microsoft, she worked across all APAC markets to create unique insight-driven media strategies and plans. She was instrumental in building Microsoft's first social media operations centre in Singapore.

    Sakhee was also nominated by Women in IT Summit & Awards Series in the Digital Leader of the Year category.

    Sakhee is an alumnus of the Indian School of Business and the National University of Singapore.

    In this exclusive episode, we also have @Sue-Anne Lim, CEO of @Trapper, as a guest host with us.

    Here, we get to find out some of the essential aspects of marketing in the digital age, like creative planning, creating production, and the place of data analytics.


    The importance of being in touch with yourself for bringing new levels of mindfulness to work.

    How Sakhee transitioned from engineering to marketing.

    Challenges of working with a fast-paced organization like Facebook.

    Intricacies and complexities around the use of internal and external data for marketing.

    What’s the best data strategy for your Facebook ad campaigns.

    Future of data privacy and personalization, and also some of the misconceptions around it.

    The problem of social media misinformation and what are the ways out.

    Data-driven marketing to pinpoint your objective, messaging, and channels.

    How to create thumb-stopping ads.

    Upcoming major changes in digital marketing.

    How Facebook data is handled and protected in case of partnerships.

    Some valuable advice for new marketers.

    If you are the chief marketing officer or a senior official who want to know how you can utilise the power of marketing data to get the message out effectively, this is the episode for you!

    BusinessAnalytics, DataDrivenMarketing, DigitalMarketing, BusinessIntelligence, CustomerExperience, DataScience


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    • 1 hr 1 min
    E58 - Shantha Mohan - A Founder’s Perspective in Building an Analytics Solution Using Data Governance & Product Development

    E58 - Shantha Mohan - A Founder’s Perspective in Building an Analytics Solution Using Data Governance & Product Development

    Shantha Mohan is an Executive In Residence (EIR) at Carnegie Mellon University - Integrated Innovation Institute, Silicon Valley.

    Shantha has over 36 years of experience in software development and engineering, product development, data science, entrepreneurship, and building and leading large tech teams.

    In her current role as EIR at the Integrated Innovation Institute at Carnegie Mellon, she co-delivers courses, contributes to curriculum design, and mentors students in their projects and practicums.

    Shantha is also a Co-founder & Chief Development Officer of Retail Solutions Inc. RSi is the world's leading technology company enabling CPG manufacturers and retailers to optimize their market position and drive greater profitability – from supply chain to shelf.

    At RSI, she ran Product Development and was responsible for scaling the product development team across the world and delivering multiple applications. Her worldwide product development team built the products & services which made the company the leader in Retail Analytics used by top Consumer Packaged Goods (CPG) companies and retailers.

    Previously, Shantha worked in various leadership roles at Applied Materials, the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world.

    Shantha has a PhD in Operations Management from Carnegie Mellon University. She is also the author of Roots and Wings: Inspiring Stories of Indian Women in Engineering.

    In this exclusive episode, Shanta shares some pearls of wisdom from the extensive experience she has in business and academia.


    Difference between teaching and leading teams from her experience.

    How her team developed a data analytics solution to identity out of stock products.

    Value of combining the three elements of design, development and product management into one philosophy.

    How can we encourage more women to join engineering and tech?

    Reasons behind lower female participation in the workforce, both in the east and the west.

    Projects her students are working on involving data lakes, AI, ML, data quality assessment tools, and data governance.

    What mistakes companies are making in data governance.

    Tools you can use for strengthening data governance in your organisation—data catalogue, data discovery, data observability, data lineage, and data security.

    When to prioritise what when it comes to maintaining data governance and creating an MVP as fast as possible?

    Importance of letting the users know about the product limitations.

    Why products are never finished and when to move on.

    Product development and management for data solutions.

    Importance of UI/UX for data solutions and data pipelines.


    If you are working on anything associated with data analytics and data science, this is the episode you shouldn’t miss. There’s something for everyone in this episode.

    Also, share this episode with your peers and friends in the industry who might benefit from the deep expertise and wisdom of Shanta Mohan!

    DataGovernance, BusinessAnalytics, DataAnalytics, ProductDevelopment, CustomerExperience, DataScience


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    • 44 min
    E57 - Ben Chan - Skills Required to Successfully Navigate Industries as an Analytics Professional

    E57 - Ben Chan - Skills Required to Successfully Navigate Industries as an Analytics Professional

    Ben Chan is the Chief Product & Data Officer at Sportsbet, an online wagering company that brings excitement to life for millions of customers in Australia.

    At Sportsbet, Ben leads 200 people responsible for Product, Data, Risk and Trading. His group pioneers incredible betting experiences for millions of customers, by bringing together betting markets in great sporting and racing events, building data science models that ensure the customers are receiving personalised experiences, while proactively managing the risk and liabilities that come with the business, and building all of that into a beautiful easy product.

    Before Sportsbet, Ben was the Chief Operating Officer and Acting CEO of Envato, where he led 600 people to grow the world's leading online marketplace and ecosystem for digital content and creatives. He was also previously at McKinsey & Company in Australia/Taiwan/UK and at Goldman Sachs trading Foreign Exchange on Wall St in New York.

    Ben has Bachelor’s degrees in Engineering (Civil) and Commerce (Actuarial Mathematics) from the University of Melbourne where he graduated top of his class in both degrees. Ben also has an MBA from Stanford University where he graduated in the top 10% of his class.

    In this episode, Ben shares about career growth in technology and the most important skills required to be successful in your career.


    Importance of giving more attention to people and empowering people for organizational growth.

    Lessons from the trading floor and how it helped Ben in his later career.

    Unless you are losing blood or millions of dollar by the second, there’s nothing to stress about.

    Dealing with disruption and preparing for the future.

    Ben’s experience at McKinsey and how McKinsey supports and fosters employee development.

    The insider story of growing Envato from 100 to 600 people.

    Tips for developing and growing digital marketplaces from Ben’s real-life experience.

    How to manage large analytics teams.

    Why the most important skills for navigating job & industries are people & leadership skills.

    How to develop leadership skills – how it’s important for whatever role you are in.

    So, this episode would be helpful for anybody who is thinking about career growth or changing their job or any analytics leader or manager who wants to focus more on developing their people and teams. Tune in right now!

    BusinessAnalytics, CareerGrowth, ProfessionalDevelopment, CustomerExperience, DataScience


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    • 46 min
    E56 - Michel Tricot - Commoditized Data Integration and What It Means for You

    E56 - Michel Tricot - Commoditized Data Integration and What It Means for You

    Michel Tricot is the CEO and Co-Founder of Airbyte, the new open-source data integration platform that syncs data from applications, APIs, and databases to data warehouses.

    In 2020, he co-founded Airbyte, the new open-source ELT (extract, load, transform) standard for replicating data.

    After only five months, Airbyte raised $5.2M in seed funding from Accel, YCombinator, 8VC, and some high-profile business angels, including the co-founder of Segment, the former GM Cloudera, and the co-founder of Liveramp and Safegraph. 600+ companies have synced data using Airbyte in the first 6 months.

    Michel has been working in data engineering for the past 15 years. Previously, as the head of integrations and engineering director at Liveramp (NYSE: RAMP), he grew the team responsible for building and scaling the data ingestion and data distribution connectors.  Michel’s team was managing over 1k integrations with adTech partners, delivering hundreds of billions of requests daily to these partners and ingesting over a terabyte of data daily on behalf of all LiveRamp customers in a privacy-compliant way. LiveRamp was acquired by Acxiom for $310 million on July 1, 2014 and is now a $3B independent company.

    Michel was also a founding member & Director of Engineering of rideOS, a Mobility as a Service (MaaS) technology provider that empowers automotive, autonomous vehicle, ride-hail, transportation, and delivery businesses to build, operate, and scale on-demand transportation offerings utilizing both self-driving and human-operated fleets.

    In this exclusive episode, Michel offers a detailed account of the story behind Airbyte’s success and how Airbyte makes data integration much easier for businesses.

    Here are the major points of discussion:


    How Michel built his career as a software engineer and used it as a foundation to start his own company.

    Creating a product that’s not only a good-to-have but a need-to-have.

    How to outreach potential customers to survey their needs and use the interviews for product improvement.

    The ingenious idea of using the same outreach contacts to test out the MVP.

    Advantages of the open-source approach to data integration and software development.

    The importance of community building for constant improvement and business growth.

    What’s the story behind Airbyte’s exponential growth and getting investment.

    What makes Airbyte different and better than others?

    Why do you need external and internal data integrations to grow your business?

    How Airbyte makes integrating external and internal data sources much easier.


    If you are a software engineer thinking of starting your own business or you are already running a business and want to know how you can integrate external and internal data sources to grow your business, this is the episode you shouldn’t miss.

    BusinessAnalytics, DataEngineering, DataIntegration, ProductDevelopment, CustomerExperience, DataScience


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    • 56 min

Customer Reviews

5.0 out of 5
12 Ratings

12 Ratings

AdamLeadership ,

Great content for those in the space

Jason does a great job bringing out interesting and relevant information from guests for listeners in and interested in big data. I recently guested on this podcast and enjoyed the conversation, as Jason’s style is conducive to natural discussion.

moving123 ,

Great Conversation

Science and money my 2 favorite subjects! Love it will definitely be tuning in.

Shogun of Truth ,

Amazing

All the Info you need on data and other fun stuff!

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