In this episode, Arman welcomes Lars Gronnegaard, CEO and co-founder of Dreamdata, as they discuss the importance of marketing data in a B2B market, and how a SaaS service was created to serve that need.

In this talk I will present two new open-source packages that make up a powerful and state-of-the-art marketing analytics toolbox. Specifically, PyMC-Marketing is a new library built on top of the popular Bayesian modeling library PyMC. PyMC-Marketing allows robust estimation of customer acquisition costs (via media mix modeling) as well as customer lifetime value. In addition, I will show how we can estimate the effectiveness of marketing campaigns using a new Bayesian causal inference package called CausalPy. The talk will be applied with a real-world case-study and many code examples. Special emphasis will be placed on the interplay between these tools and how they can be combined together to make optimal marketing budget decisions in complex scenarios.

Time-series data is all around us: from logistics to digital marketing, from pricing to stock markets. It’s hard to imagine a modern business that has no time series data to forecast. However, mastering such forecasting is not an easy task. For this talk, together with other domain experts, I have collected a list of common time series issues that data professionals commonly run into. After this talk, you will learn to identify, understand, and resolve such issues. This will include stabilising divergent time series, organising delayed / irregular data, handling missing values without anomaly propagation, and reducing the impact of noise and outliers on your forecasting models.

“Being an entrepreneur is basically like going from one crisis to the next”. Those are the words of Michael Kingston, co-founder and CEO of Seeda. At a point in his career when Michael was thriving, he took the daunting plunge from successful executive to entrepreneur and start-up founder. Most people would be too scared to take such an enormous risk; however, this step has been Michael's key toward work-life satisfaction. Three years later, Michael and his co-founders have built Seeda, an AI-assisted marketing analytics product, purpose-built for Shopify-based eCommerce platforms. Seeda helps marketers make sense of the enormous amount of data coming at them from numerous sources and use it to optimise their marketing activities. Whether it’s SEO, email marketing or digital advertising, marketers are often stuck with a heavy burden of technical9 implementation and optimisation. Seeda’s product is the “AI analyst” that helps the world’s 5 million Shopify stores figure it all out, without needing to be a technology or analytics expert. If you’re curious about start-up life or are thinking about starting your own business, then this episode is for you! In this episode we discuss: How Michael gradually but surely made the shift from employee to entrepreneurHow Michael figured out what he wanted to work on as an entrepreneurHow Seeda’s “AI analyst” is a potential game-changer for Shopify-based businesses wanting more out of their marketing effortsThe scaled data architecture that allows small businesses to take advantage of data practices normally reserved for large corporatesMichael’s advice for anyone wanting to start their own business, and much more.Michael on LinkedIn: https://www.linkedin.com/in/michael-kingston-35707217/ Check out Seeda: https://www.seeda.io/  

We talked about:

Aleksander’s background The difficulty of selling data stack as a service How Aleksander got into consulting The Mom Test – extracting feedback from people User interviews Why Aleksander’s data stack as a service startup was not viable How Aleksander decided to switch to consulting Finding clients to consult Figuring out how to position your services Geographical limitations Figuring out your target audience The importance of networking and marketing Pricing your services The pitfalls of daily and hourly pricing and how to balance incentives Is Germany a good place to found a company? Aleksander’s book recommendations

Links:

LinkedIn: https://www.linkedin.com/in/alkrusz/ Twitter: https://twitter.com/alkrusz Website: www.leukos.io

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

Today I’m chatting with Samir Sharma, CEO of datazuum. Samir is passionate about developing data strategies that drive business outcomes, and shares valuable insights into how problem framing and research can be done effectively from both the data and business side. Samir also provides his definition of a data strategy, and why it can be complicated to uncover whose job it is to create one. Throughout the conversation, Samir and I uncover the value of including different perspectives when implementing a data strategy and discuss solutions to various communication barriers. Of course, dashboards and data products also popped up in this episode as well! 

Highlights/ Skip to:

How Samir defines a data strategy and whose job it is to create one (01:39) The challenges Samir sees when trying to uncover and understand a company’s existing data strategy (03:39) The problem with the problem statements that Samir commonly encounters (08:37) Samir unpacks the communication challenges that lead to negative business outcomes when developing data products (14:05) An example of how improving research and problem framing solved a problem for Samir’s first big client (24:33) How speaking in a language your users understand can open the door to more exciting and valuable projects (31:08)

Quotes from Today’s Episode “I don’t think business teams really care how you do it. If you can get an outcome—even if it’s quick and dirty. We’re not supposed to be doing these things for months on end. We’re supposed to be iterating quickly to start to show that result and add value and then building on top of that to show more value, more results.” — Samir Sharma (07:29)

“Language is so important for business teams and technical teams and data teams to actually be able to speak a common language which has common business constructs. Why are organizations trying to train 20,000 people on data literacy, when they’ve got a ten-person data team? Why not just teach the ten people in the data team business language?” — Samir Sharma (10:52)

“I will continuously talk about processes because there’s not enough done actually understanding processes and how data is an event that occurs when a process is kicked off. … If you don’t understand the process and how data is enabling that process, or how data is being generated and the trigger points, then you’re just building something without really understanding where I need to fit that product in or where I need to fit that workflow in.” – Samir Sharma (11:46)

“But I start with asking clear questions about if I built you this dashboard, what is the decision you’re going to make off the back of it? Nine times out of ten, that question isn’t asked, if I build you this widget on this dashboard, what decision or action are you going to make or take? And how is that going to be linked back to the map that strategic objective? And if you can ask that question, you can build with purpose.” – Samir Sharma (19:27)

“You show [users] a bit of value, you show them what they’ve been dying to have, you give them a little bit extra in that so they can really optimize their decisions, and suddenly, you’ve got both sides now speaking a language that is really based on business outcomes and results.” – Samir Sharma (32:38)

“If the people in that conversation are the developers on one side, the business team, and they’re starting to see a new narrative, even the developers will start to say, “Oh! Now, I know exactly why I’m doing this. Now, I know why I’m building it.” So, they’re also starting to learn about the business, about what impacts sales, and maybe how marketing then intertwines into that. It’s important that that is done, but not enough time has been taken on that approach.” – Samir Sharma (24:05)

The thing for me is, business teams don’t know what they don’t know, right? Most of the time, they’re asking a question. If I was on the data team and I’d already built a dashboard that would [answer that question], then I haven’t built it properly in the first instance. What I’ve done is I’ve built it for the beauty and the visualization instead of the what I would class is the ugliness and impact that I need.” – Samir Sharma (17:05)

Links datazuum: https://datazuum.com/ LinkedIn: https://www.linkedin.com/in/samirsharma1/

Send us a text This week on Making Data Simple, Fred Joyal. Perhaps you've seen Fred on 1-800-DENTIST commercials. Now, he's turned marketing genius into the art of being BOLD.   Show Notes  02:20 Brand Fred Joyal  19:20 Monetization Strategy  20:58 Boldness is a Super Power  23:18 Just Show Up  26:15 Step Up with Exercises  27:00 Failure's are Steps Up, Take Another Swing 38:50 5 Steps to Lowering Anxiety  41:50 How to Better Network  Find Fred Joyal @ https://fredjoyal.com/ LinkedIn: linkedin.com/in/fredjoyal  Twitter: fredjoyal  Want to be featured as a guest on Making Data Simple? Reach out to us at [[email protected]] and tell us why you should be next. Abstract Making Data Simple Podcast is hosted by Al Martin, WW VP Account Technical Leader IBM Technology Sales, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In API Analytics for Product Managers, you will learn how to approach APIs as products to drive revenue and business growth. The book provides actionable insights on researching, strategizing, marketing, and evaluating the performance of APIs in SaaS contexts. What this Book will help me do Learn to develop long-term strategies for managing APIs as a product. Master the concepts of the API lifecycle and API maturity for better management. Understand and apply key metrics to measure activation, retention, and engagement of APIs. Design support models for APIs that ensure scalability and efficiency. Gain techniques for deriving actionable business insights from metrics analysis. Author(s) Deepa Goyal is an experienced product manager who specializes in API lifecycle management and analytics strategies. With years of industry experience, she has developed deep expertise in scaling and optimizing APIs to deliver business value. Her practical and results-oriented writing style makes complex topics accessible for professionals looking to enhance their API strategies. Who is it for? Ideal for product managers, engineers, and executives in SaaS companies looking to maximize the potential of APIs. This book is especially suited for individuals with foundational knowledge of APIs aiming to refine their analytical and strategic skills. Readers will gain actionable insights to track API performance effectively and implement metrics-driven decisions. It's a must-read for those focused on leveraging APIs for business growth.

One of the toughest parts of any data project is experimentation, not just because you need to choose the right testing method to confirm the project’s effectiveness, but because you also need to make sure you are testing the right hypothesis and measuring the right KPIs to ensure you receive accurate results. One of the most effective methods for data experimentation is A/B testing, and Anjali Mehra, Senior Director of Product Analytics, Data Science, Experimentation, and Instrumentation at DocuSign, is no stranger to how A/B testing can impact multiple parts of any organization. Throughout her career, she has also worked in marketing analytics and customer analytics at companies like Shutterfly, Wayfair, and Constant Contact. Throughout the episode, we discuss DocuSign’s analytics goals, how A/B testing works, how to gamify data experimentation, how A/B testing helps with new initiative validation, examples of A/B testing with data projects, how organizations can get started with data experimentation, and much more.

Send us a text Part 2 : Marketing, The Power of Scarcity with Dr. Mindy Weinstein, Founder and CEO of Market MindShift, Marketing instructor for Grand Canyon University, Columbia Business School, and Wharton. "Trying to reach humans" through digital marketing. 28:19 Consumer advice02:40 Companies using scarcity07:07 Black Friday, Cyber Monday08:03 Technology in marketing11:50 AI, ChatGPT in academics17:40 Best marketer of all timeLinkedIn: linkedin.com/in/mindydweinstein Website: https://www.persuasioninbusiness.com/book, https://www.marketmindshift.com/ Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

Host, Al Martin Linkedin Producer, Katherine Mayne Linkedin Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

In today’s episode, we’re joined by Gleb Polyakov. Gleb is the CEO and Co-Founder of Nylas, a platform that allows developers to automate manual, repetitive everyday tasks with little to no code.

We talk about:

• How Nylas works, the benefits it provides and who it targets.
• The definition of first-party data and why it’s important.
• The growth of the API economy.
• The new roles of sales and marketing when selling to developers.
• The trend of using education as a sales technique.

Gleb Polyakov - https://www.linkedin.com/in/gpolyakov Nylas - https://www.linkedin.com/company/nylas/

This episode is brought to you by Qrvey

The tools you need to take action with your data, on a platform built for maximum scalability, security and cost efficiencies. If you’re ready to reduce complexity and dramatically lower costs, contact us today at qrvey.com.

Qrvey, the modern no-code analytics solution for SaaS companies on AWS.

saas #analytics #AWS #BI

What's more sexy: analytics or innovation? What about combining them! That sounds great, and Thomas Davenport would be so proud if you pulled it off, but the reality is that the idea of innovation through analytics is one thing, while the reality of making it happen is another thing entirely. Dr. Tiffany Perkins-Munn, Head of Marketing Data & Analytics at JPMorgan Chase & Co., joined us for a discussion on the subject! For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.

After a decade of digital marketing, I've decided to transition into digital analytics in 2022 because I wanted to work even more with data to solve complex problems.

Marketing teams need analytics. Product teams need analytics. There are marketing analytics vendors like Google Analytics and Adobe Analytics. There are product analytics vendors like Amplitude and Mixpanel. But what are the real differences between marketing and product analytics? Do organizations need different teams for each? Should organizations use both types of tools? Will one replace the other or will these disciplines converge?

Join us for a deep dive into the analytics and marketing tech stack of the future! Drawing inspiration from the lovable robot Johnny 5 in the classic film Short Circuit, we'll explore the critical role that data (aka input) plays in driving marketing and analytics success. Discover how innovative tools like customer data platforms and reverse ETL platforms are revolutionizing the way we build and improve our analytics infrastructure and tech stacks. Learn how to stay ahead of the curve in a much more data-driven world and discover how to make use of the power of more input for your own organization!

In the age of GDPR, CCPA, and HIPAA along with the widespread proliferation of ad blockers and Apple’s ITP, it’s never been harder to measure the effectiveness of your digital marketing efforts while protecting your customers' data.

In the past, digital analytics experienced a boom with the emergence of tag management systems. These tools allowed marketers to quickly and easily implement tracking and marketing tags without relying on web developers, improving speed and agility for those eager to take advantage of new opportunities. And we all know how eager marketers are.

Send us a text ChatGPT and great businesses leveraging the capability...  Meet Sam Tucker the CEO of VegCatalyst. Vegan businesses and animal rights, Sam is living his values. 03:12 Meet Sam Tucker08:35 Investor Pitch11:33 GTM & Use Case14:21 The Technology16:11 Secret Sauce 16:48 ChatGPT24:30 Competitors?25:36 VegCatalyst Current Status 27:05 Is ChatGPT all that?LinkedIn: linkedin.com/in/sam-tucker-vegan Website: vegancreativecompass.com/, https://vegcatalyst.com/ Want to be featured as a guest on Making Data Simple?  Reach out to us at [email protected] and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.  Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.

We talked about:

Pauline’s background Pauline’s work as a manager at IBM What is indie hacking? Pauline initial indie hacking projects Getting ready for launch Responsibilities and challenges in indie hacking Pauline’s latest indie hacking project Going live and marketing Challenges with Unreal Me Staying motivated with indie hacking projects Skills Pauline picked up while doing indie hacking projects Balancing a day job and indie hacking Micro SaaS and AboutStartup.io How Pauline comes up with ideas for projects Going from an idea on paper to building a project Pauline’s Twitter success Connecting with Pauline online Pauline’s indie hacking inspiration Pauline’s resource recommendation

Links:

Website: https://wintopy.io/ Pauline's Twitter: https://twitter.com/Pauline_Cx Pauline's LinkedIn: https://www.linkedin.com/in/paulineclavelloux/  Blog about Indiehacking: https://aboutstartup.io

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

Send us a text Marketing fundamentals to AI-powered digital marketing without the use of cookies or personal information. All with Nadia Gonzalez, CMO for Scibids. See white paper for additional technical detail. 01:42 Meet Nadia05:15 Marketing Today15:41 The Founding of Scibids16:32 Cookies. What's changed?17:44 Consumer Targeting Era Over?20:07 Marketing Tomorrow26:06 First Party Data & Contextual Signals29:25 Beware of the Walled Garden31:56 Scibids Differentiation35:52 Scibids. What's in a Name?38:56 Machiavelli for WomenLinkedIn: linkedin.com/in/nadia-gonzalez-00b82a3 Twitter: @nadia_gonzalezz Website: https://scibids.com/ White Paper: https://go.scibids.com/ai-privacy-and-the-future-of-digital-marketing Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. Want to be featured as a guest on Making Data Simple? Reach out to us at [email protected] and tell us why you should be next. The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun.