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The power of data: How recommendation engines are driving business growth

Mind the Product

Product manager and a data enthusiast Ishita Choudhary, looks into the intricacies of recommendation engines, and what impact this is having on overall business growth. Read more » The post The power of data: How recommendation engines are driving business growth appeared first on Mind the Product.

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Algolia’s Sarah Dayan on what sets a staff plus engineer apart

Intercom, Inc.

When you reach senior level on an engineering track, you’re expected to be optimal in your hard skill set. Despite not having a formal education in engineering, Sarah landed a job as a developer in the French consultant Grand Manitou. Then, four years ago, in 2018, she got a job at Algolia as a software engineer.

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Core Concept: Getting Engineers to Embrace the Product Trio

Product Talk

Today’s post is about getting your engineers more involved in your product trio. What do we do if engineers don’t want to be part of discovery? Does an engineer really need to be a part of our product trio? What should you do if an engineer doesn’t want to be a part of your product trio ? I get this question a lot.

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Why Engineers Should Participate in Discovery

Product Talk

Are you inviting your engineers to participate in discovery with you? Does your organization prefer that your engineers only write code? Marty Cagan , in Inspired , argues, “If you’re just using your engineers to code, you’re only getting about half their value.” And, sadly, many engineers make this mistake themselves.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Product in Practice: Assumption Testing with Engineers at Orion Labs

Product Talk

Engineers are often reluctant to participate in discovery. This is only natural: Through years of bad habits, many of us have shown engineers that we only value them for the code they can write. But there are many reasons why engineers are one of the essential members of the product trio. And this is a good thing.

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The engineering mindset | Will Larson (Carta, Stripe, Uber, Calm, Digg)

Lenny Rachitsky

Brought to you by DX —A platform for measuring and improving developer productivity | OneSchema —Import CSV data 10x faster | Vanta —Automate compliance. Prior to joining Carta, he was the CTO at Calm and held engineering leadership roles at Stripe, Uber, and Digg. Simplify security.

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How to Migrate From DataStax Enterprise to Instaclustr Managed Apache Cassandra

If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Unlock the power of open-source data management for long-term success

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The 5 Product Discovery Secrets Every PM Should Know

Speaker: Jim Morris, Founder, Product Discovery Group

In this webinar he will discuss: Data interpretation and numerical goal setting. Why you should be involving engineers at every stage of the Cycle. During this presentation, attendees will hear case studies, examples, and best practices gleaned from Jim's 25 years of using the Product Discovery Cycle.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Check out this new instructor-led training workshop series to help advance your organization's data & analytics maturity. Given how data changes fast, there’s a clear need for a measuring stick for data and analytics maturity. Workshop video modules include: Breaking down data silos. Developing a data-sharing culture.

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Put Your Data to Work: The Complete Playbook

An interactive guide filled with the tools to turn your data into a competitive advantage. They rely on data to power products, business insights, and marketing strategy. We’ve created this interactive playbook to help you use your data to provide actionable insights that will lead to better business decisions and customer outcomes.

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How Leveraging Data Creates Efficient Product Roadmaps

Speaker: Hannah Chaplin - Product Marketing Principal & Steve Cheshire - Product Manager

Without product usage data and user feedback guiding your product roadmap, product managers and engineers end up wasting money, time, and effort building what they think stakeholders want, rather than what they know they need. Leveraging product data to assess true business value and make informed decisions.

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Cracking the Code to Product Team Success: Data, Empathy, and Extraordinary Communication

Speaker: Donna Shaw - Senior Product Manager & Eric Frierson - Director of Innovation for Public and School Libraries

Nonetheless, by leveraging foresight and valuable insights, you can cultivate a thriving product management team that works together harmoniously to craft customer-centric products.

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The 5 Stages of Account-Based Marketing — and How to Win Them All

But none of this is possible without the most important element of a successful ABM program: good data. Data is the fuel that powers your ABM engine. Running an ABM program on data you don’t trust means wasted time, resources, and lost revenue. Without it, you can’t find and reach your target accounts.

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How Product Managers Can Learn to Love Reporting

Speaker: Eric Feinstein, Professional Services Manager, Looker

It seems like PMs and engineers have grown to hate embedded reporting. He will discuss working through personas, data types, reporting needs analysis and ultimately how this comes together to form a roadmap for reporting functionality and interface. Building a team to support your deployment.