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.

This talk presents a novel approach to MLOps that combines the benefits of open-source technologies with the power and cost-effectiveness of cloud computing platforms. By using tools such as Terraform, MLflow, and Feast, we demonstrate how to build a scalable and maintainable ML system on the cloud that is accessible to ML Engineers and Data Scientists. Our approach leverages cloud managed services for the entire ML lifecycle, reducing the complexity and overhead of maintenance and eliminating the vendor lock-in and additional costs associated with managed MLOps SaaS services. This innovative approach to MLOps allows organizations to take full advantage of the potential of machine learning while minimizing cost and complexity.

Building machine learning systems with high predictive accuracy is inherently hard, and embedding these systems into great product experiences is doubly so. To build truly great machine learning products that reach millions of users, organizations need to marry great data science expertise, with strong attention to user experience, design thinking, and a deep consideration for the impacts of your prediction on users and stakeholders. So how do you do that? Today’s guest is Sam Stone, Director of Product Management, Pricing & Data at Opendoor, a real-estate technology company that leverages machine learning to streamline the home buying and selling process. Sam played an integral part in developing AI/ML products related to home pricing including the Opendoor Valuation Model (OVM), market liquidity forecasting, portfolio optimization, and resale decision tooling. Prior to Opendoor, he was a co-founder and product manager at Ansaro, a SaaS startup using data science and machine learning to help companies improve hiring decisions. Sam holds degrees in Math and International Relations from Stanford and an MBA from Harvard. Throughout the episode, we spoke about his principles for great ML product design, how to think about data collection for these types of products, how to package outputs from a model within a slick user interface, what interpretability means in the eyes of customers, how to be proactive about monitoring failure points, and much more.

On today’s episode, we’re joined by Scott Hurff, Founder & Chief Product Officer at Churnkey, a platform built to supercharge every part of customer retention and optimize your company’s growth.

We talk about:

• Scott’s background and the story of Churnkey.
• What a good SaaS product needs.
• Ensuring company alignment when it comes to design.
• Balancing flexibility, power and ease of use.
• How pricing impacts customer retention.
• How to raise SaaS prices without losing customers.

Scott Hurff - https://www.linkedin.com/in/scotthurff/ Churnkey - https://www.linkedin.com/company/churnkey/

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.

On today’s episode, we’re joined by Atif Ghauri, Senior Vice President at Cyderes, a global cybersecurity powerhouse offering comprehensive solutions around managed security, identity and access management, and professional services.

We talk about:

• How Cyderes works and the problems they solve.
• The evolution of cloud security.
• The impact of AI on cybersecurity.
• The biggest risk factors in cloud security today.
• How new SaaS founders today should think about cybersecurity and common mistakes to avoid.
• The turning point where SaaS companies have to start taking security more seriously.
• Some of the things Atif has found surprising in his security career.

Atif Ghauri - https://www.linkedin.com/in/aghauri Cyderes - https://www.linkedin.com/company/the-herjavec-group/

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

In today’s episode, we’re joined by Reha Jhunjhunwala, Product Manager of AI ML Initiatives at eClinical Solutions, a company that helps life sciences organizations around the world accelerate clinical development initiatives with expert data services.

We talk about:

• Reha’s background as a dentist and how she got into tech.
• How machine learning and AI impact the software development process.
• How AI will affect the traditional strengths of software in general.
• What the considerations are around AI in healthcare where regulations are strict.
• Some of the things slowing AI down.

Reha Jhunjhunwala - https://www.linkedin.com/in/rehajhunjhunwala/ eClinical Solutions - https://www.linkedin.com/company/eclinical-solutions/

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

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.

On today’s episode, we’re joined by Vlad Eidelman. Vlad is CTO and Chief Scientist at FiscalNote — a leading technology provider of global policy and market intelligence uniquely combining AI technology, actionable data, and expert and peer insights to give customers mission-critical insights.

We talk about:

• Vlad’s story and what FiscalNote does.
• How AI changes software.
• The importance of adding extra value to software.
• What to do with user data?
• How Vlad makes internal decisions at FiscalNote.
• The impact of remote work.
• The importance of building the right data analytics stack to acquire data.

Vlad Eidelman - https://www.linkedin.com/in/veidelman/ FiscalNote - https://www.linkedin.com/company/fiscalnote/

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

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

On today’s episode, we’re joined by Ellie Fields. Ellie is the Chief Product and Engineering Officer at Salesloft, which helps sales teams drive more revenue with the only complete sales engagement platform available in the market. We talk about:

• Ellie’s background and what Salesloft does.
• The changing trends in how companies use data.
• Drawing valuable insights from unstructured data.
• Putting workflow at the center of what you do, and the challenges involved.
• Ellie’s experiences managing both product and engineering.
• Are more autonomous teams more scalable?
• Applying a metric- and data-oriented culture internally.
• The impact of remote work on how companies operate.

Ellie Fields - https://www.linkedin.com/in/elliefields/ Salesloft - https://www.linkedin.com/company/salesloft/

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

Some would say Google Ads is becoming more and more a self serving / learning channel able to do it all, almost all. Still, there are numerous data points and activation possibilities just ready and waiting on the business side of things. So this would be a story on which of these points can and should be used in our optimization efforts together with some useful examples and caveats using an ML SaaS platform even if not in the hands of a data scientist - or is it just too dangerous?

On today’s episode, we’re talking to Si Dhanak. Si is the VP of Product at Latch, a company aimed at making spaces better places to live, work and visit. Here’s some of what we talk about:

• Si’s background, how Latch works and the problems it solves.
• Hardware companies that move into software and vice versa.
• Do you need to choose between selling to businesses and selling to consumers?
• Capitalizing on the transition from analog to digital.
• Creating trust in digital innovations around physical security.
• When is the right time to start a software business?
• The challenges around valuing SaaS businesses.
• Advice for people who want to start a SaaS company.

Si Dhanak - https://www.linkedin.com/in/saayuj/ Latch - https://www.linkedin.com/company/latch/

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

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

On today’s episode, we’re joined by Phyl Terry, Founder and CEO of Collaborative Gain, a community of smart, passionate leaders who help each other build better, more customer (and employee) centric companies.

We talk about:

• Phyl’s story and the story behind Collaborative Gain.
• Phyl’s book, "Never Search Alone", and the three big ideas inside it.
• Is there a business model behind the community Phyl has built?
• The dangers of people thinking they have unlimited time in their careers.
• How some organizations are naturally better at attracting the right people.
• The value of combining the right people with the right vision.

Phyl Terry - https://www.linkedin.com/in/phylterry/# Collaborative Gain - https://www.linkedin.com/company/collaborative-gain/

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

On today’s episode, we’re talking to Dylan Barrell, Chief Technology Officer at Deque Systems, Inc, a web accessibility software and services company aimed at giving everyone, regardless of ability, equal access to information, services and applications on the web.

We talk about:

• Dylan’s background and what Deque does.
• The importance of accessibility in software.
• Dylan’s book, “Agile Accessibility Handbook,” and why he wrote it.
• Are there any particular tools to identify accessibility issues in software?
• Countries that are leading the way around SaaS accessibility.
• Advice for smaller, newer SaaS companies to prioritize accessibility.
• How tech trends like AI, the IoT and algorithms have impacted accessibility.

Dylan Barrell - https://www.linkedin.com/in/dylanbarrell/ Deque Systems - https://www.linkedin.com/company/deque-systems-inc/

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

On today’s episode, we’re joined by John Wills. John is the Field CTO at Alation, a data intelligence company that helps organizations find, understand and trust data.

We talk about:

• John’s background and Alation.
• Cataloging data within an organization.
• How developers can access and use cataloged data.
• Will data become more and more critical for organizations?
• The friction between business growth and regulatory compliance.
• The increasing complexity of data and how this impacts cataloging.
• Different types of data marketplaces and the exchange between them.
• The impact of machine learning and artificial intelligence on data cataloging.

John Wills - https://www.linkedin.com/in/johnwwills/ Alation - https://www.linkedin.com/company/alation/

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

Scaling data teams from zero is hard: there are no easy shortcuts, and it is hard to find clear examples to learn from. That’s why we are very excited to co-present the work we did at On Deck over the last year: starting in Summer 2021 we built a data team from scratch, relying heavily on dbt as the core data modelling environment. Come hear us talk about how we set up the team, prioritised the many different requirements from an ever expanding team of stakeholders and, after just a few months, succeeding in moving On Deck away from a no-code data architecture (with more than 400 SaaS tools) and towards a centralised data model in dbt. We think the lessons (and especially the pitfalls) are worth telling!

Coalesce 2023 is coming! Register for free at https://coalesce.getdbt.com/.

In today’s episode, we’re joined by Michael Ramsbacker, Chief Product Officer at Trulioo, a leading global identity and business verification provider specializing in AML, KYC and KYB compliance.

We talk about:

• Michael’s background and the problems Trulioo is trying to solve.
• The importance of verifying identities across global markets.
• The challenges of implementing identity verification in an internet built on anonymity.
• How the role of product managers has changed as SaaS has evolved.
• The kind of culture and conditions needed for a software organization to succeed.
• How technologies like artificial intelligence and machine learning impact a SaaS product’s growth.
• The foundations that need to be in place to have trusted identity verification online.
• Key lessons for product managers.
• Striking a balance between focusing internally and externally as a CPO.

Michael Ramsbacker - https://www.linkedin.com/in/ramsbacker/ Trulioo - https://www.linkedin.com/company/trulioo/

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

On today’s episode we’re joined by Manish Garg, SVP of Product and Technology at EarnUp, a tech platform that reduces risk, streamlines operations and improves the financial health of your borrowers.

We talk about:

• How EarnUp works and the problems it solves.
• How can startups successfully navigate the early stages?
• Building something new vs. improving on an existing product.
• A hybrid model between building on existing products and moving into innovation.
• How to recognize a strong product-market fit.
• The impact of AI and machine learning in business.

Manish Garg - https://www.linkedin.com/in/manishgarg/ EarnUp - https://www.linkedin.com/company/earnup/

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

Summary Business intelligence is the foremost application of data in organizations of all sizes. The typical conception of how it is accessed is through a web or desktop application running on a powerful laptop. Zing Data is building a mobile native platform for business intelligence. This opens the door for busy employees to access and analyze their company information away from their desk, but it has the more powerful effect of bringing first-class support to companies operating in mobile-first economies. In this episode Sabin Thomas shares his experiences building the platform and the interesting ways that it is being used.

Announcements

Hello and welcome to the Data Engineering Podcast, the show about modern data management When you’re ready to build your next pipeline, or want to test out the projects you hear about on the show, you’ll need somewhere to deploy it, so check out our friends at Linode. With their new managed database service you can launch a production ready MySQL, Postgres, or MongoDB cluster in minutes, with automated backups, 40 Gbps connections from your application hosts, and high throughput SSDs. Go to dataengineeringpodcast.com/linode today and get a $100 credit to launch a database, create a Kubernetes cluster, or take advantage of all of their other services. And don’t forget to thank them for their continued support of this show! Atlan is the metadata hub for your data ecosystem. Instead of locking your metadata into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Push information about data freshness and quality to your business intelligence, automatically scale up and down your warehouse based on usage patterns, and let the bots answer those questions in Slack so that the humans can focus on delivering real value. Go to dataengineeringpodcast.com/atlan today to learn more about how Atlan’s active metadata platform is helping pioneering data teams like Postman, Plaid, WeWork & Unilever achieve extraordinary things with metadata and escape the chaos. Data engineers don’t enjoy writing, maintaining, and modifying ETL pipelines all day, every day. Especially once they realize 90% of all major data sources like Google Analytics, Salesforce, Adwords, Facebook, Spreadsheets, etc., are already available as plug-and-play connectors with reliable, intuitive SaaS solutions. Hevo Data is a highly reliable and intuitive data pipeline platform used by data engineers from 40+ countries to set up and run low-latency ELT pipelines with zero maintenance. Boasting more than 150 out-of-the-box connectors that can be set up in minutes, Hevo also allows you to monitor and control your pipelines. You get: real-time data flow visibility, fail-safe mechanisms, and alerts if anything breaks; preload transformations and auto-schema mapping precisely control how data lands in your destination; models and workflows to transform data for analytics; and reverse-ETL capability to move the transformed data back to your business software to inspire timely action. All of this, plus its transparent pricing and 24*7 live support, makes it consistently voted by users as the Leader in the Data Pipeline category on review platforms like G2. Go to dataengineeringpodcast.com/hevodata and sign up for a free 14-day trial that also comes with 24×7 support. Struggling with broken pipelines? Stale dashboards? Missing data? If this resonates with you, you’re not alone. Data engineers struggling with unreliable data need look no further than Monte Carlo, the leading end-to-end Data Observability Platform! Trusted by the data teams at Fox, JetBlue, and PagerDuty, Monte Carlo solves the costly problem of broken data pipelines. Monte Carlo monitors and alerts for data issues across your data warehouses, data lakes, dbt models, Airflow jobs, and business intelligence tools, reducing time to detection and resolution from weeks to just minutes. Monte Carlo also gives you a holistic picture