Product Management University

JANUARY 27, 2023

Voice of the Customer (VoC) data gives B2B organizations deeper insights into the business of their target customers so they can build, market, sell, and deliver higher-value products and services that lead to more consistent and predictable growth. In B2B though, voice of customer data is used for more than just products.

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The Product Coalition

MAY 11, 2020

Monolithic and Microservices From product manager’s perspective, having the right kind of architecture would give us a development and maintenance efficiency for any product that we’re currently building. It is easy to scale up as well depending on the business needs.

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Mixpanel

MARCH 3, 2022

Data has fundamentally changed how we design and develop products, but there’s a difference between simply reacting to data points and applying the level of analytic rigor needed to yield meaningful results. Understand the role of data with nuance. That’s where data comes in. Here’s how. The wins are not synonymous.

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Reveal

JANUARY 17, 2024

Reveal Embedded Analytics Organizations are constantly looking for the best ways to get more value out of their data and improve their business decision-making, a quest that has led to the evolution of innovative techniques. One such powerful data analysis technique that has emerged as a game-changer is data blending.

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Indicative

JUNE 11, 2020

Yes, disagreement is healthy for preventing groupthink, and yes, it’s important to bring contradictory perspectives to life. Is everyone making decisions based on the data ? Using data, you can work towards initiatives more thoughtfully, collaboratively, and strategically. Data can help. . How customer analytics can help.

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Intercom, Inc.

OCTOBER 13, 2021

That’s where we found our Data Infrastructure team at the end of 2020 – we provide data and tools for teams across Intercom to get insights and run crucial processes, and were more in-demand than ever. The Data Infrastructure team had reached a tipping point. Scaling a company is never a linear process.

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Amplitude

DECEMBER 10, 2020

In a response to an early draft of this series, Eric Peterson (co-founder of Automaton, previously at Tableau), made this astute observation: I wonder if instrumentation apprehension/paralysis is rooted in a fundamental lack of data literacy. The biggest challenge I see here is a lack of familiarity with event stream data.

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BrainMates

FEBRUARY 6, 2023

Data Doesn't Make Decisions - People Do By MARTIN NORTH Data-driven decision-making has become an accepted part of modern business practice. Organisations collect and analyse data to guide decisions. So, it stands to reason that using data to eliminate subjectivity from decision-making might be a sensible strategy.

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Amplitude

NOVEMBER 26, 2019

Generating data is easy. Data is often not accessible unless you can write code. People in non-technical roles rely on data every day to make decisions, develop ideas or measure success. When everyone on the team is empowered to understand data, they can make more informed decisions and measure their own success.

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Mixpanel

MARCH 11, 2024

If you’re a data world denizen, you’ve probably come across Benn Stancil’s newsletter. He spars with boring industry trends while begging certain data companies to be more boring , and he gets into things like why he thinks controversial secondary sales are no big deal. And it definitely made you think when you read it.

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The Product Coalition

NOVEMBER 13, 2022

Data Driven Expectations and Validation Shot in Budapest in 2018 during our MBA trip Setting the Context Product Managers often start with an Outside-In perspective. The data capture is crucial to explain your observations. The Return of the King?—?Data That is also the right thing to do. The Return of the King?—?Data

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Intercom, Inc.

JANUARY 12, 2022

The fact of the matter is that data science, as a field, is still relatively new. But as Benn points out, the future of data analysis isn’t an architecture diagram or business leaders looking at dashboards – it’s building an experience, and a very exciting one at that. I worked there for a couple years as an analyst or data scientist.

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Amplitude

OCTOBER 27, 2020

But getting to that point requires an investment in product data management. Strong data management ensures that data ported into an analytics system is clean, accurate and reliable. That way, when teams access the data through product analytics, they have a high degree of confidence in the insights they uncover.

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Indicative

OCTOBER 8, 2020

Gaming data is one of the most valuable sources of information out there. . You need an analytics solution and data strategy that can help make that information useful. . Indicative aims to help companies find more value in their data — and how those numbers tie back to key performance metrics — in your business. .

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The Product Coalition

APRIL 22, 2019

Traditional Programming refers to any manually created program that uses input data and runs on a computer to produce the output. In Machine Learning , also known as augmented analytics, the input data and output are fed to an algorithm to create a program. data samples for when the condition is true and for when it’s false).

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The Product Guy

MARCH 14, 2017

Frame them from the user’s perspective, and tell them why the given problem is worth it to be solved. Sometimes it is enough to share your analytics tools, but in some other cases they will have questions you can’t answer with these, so a database expert will have to help them and dig into raw data.

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Mind the Product

FEBRUARY 7, 2018

In this talk from ProductTank San Francisco Chris Abad, who’s currently VP of product and design at User Testing, shares insights into how bringing together qualitative user research and quantitative data science teams is crucial for companies because it can help them to see the complete picture and inform critical product decisions.

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Daniel Elizalde IoT Blog

SEPTEMBER 17, 2018

In this episode of the IoT Product Leadership podcast, we dive deep into IoT Data Monetization approaches. Aleksander brings a unique perspective that I haven’t […]. The post IoT Data Monetization appeared first on Daniel Elizalde. My guest is Aleksander Poniewiereski, who joins us today all the way from Poland.

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The Product Coalition

MAY 26, 2018

The General Data Protection Regulation (GDPR) got enforced yesterday. Find out all about the product’s architectural layout, what frameworks are in place, and what components of the system have access to customer data. What is the purpose of storing the data? Do we need the data we store?

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Userpilot

NOVEMBER 29, 2022

Curious how customer churn data can improve customer retention? Customer churn data tells you how many customers have stopped using your product or service over a period of time. Customer churn analysis consists of five steps: – Collect customer churn data via churn surveys. What is customer churn data?

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Indicative

DECEMBER 23, 2020

As the sheer amount of data businesses generated has grown—and the ways we put that data to work along with it—data warehouses have played a pivotal role. They store our data, serve as a central source of truth, and more. Where do data warehouses stand in today’s data landscape? Today’s Data Warehouse.

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Product Innovation Educators

MAY 31, 2021

The goal is to bring together all the data so the team can make decisions on it. At the beginning, you need to do a batch of discovery. We use scorecards based on our experience in the industry to pair SaaS and UX criteria with customer research. Take bite-sized pieces. You could start with incorporating UX into one feature.

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Mind the Product

APRIL 23, 2019

The Data / Information / Knowledge Paradox (Drawn From the DIKW Pyramid ). Data : data is feedback from your users, your market, or your product. Data is an input , and as such has no real value in itself, it tells you what is happening. Information: information is the output of data, after analysis. Skills needed.

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The Product Coalition

OCTOBER 7, 2020

Data is not the easiest field to master. Far from it, data science is as vast as it is complex. Luckily, as a Product Manager, no one expects you to be a full-blown data scientist. But the best Product Managers are data-driven, and there’s no doubt that the more you understand data, the easier your job in PM will be.

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Indicative

APRIL 15, 2020

That’s why simply collecting data isn’t enough for your business to make sense out of it. That’s why companies of all sizes need defined, data-driven processes to make their best judgment calls. The timing is right for marketers to take a pause and rethink their data strategies. Yes, you can collect data.

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Indicative

SEPTEMBER 8, 2020

Here at Indicative, we’re all about making data more accessible and easier to understand. Throughout this explainer, we’ll share some real-world applications — data visualizations for the e-commerce sector. Real-World Applications: Practical Data Visualizations. There are two sections to this guide. Let’s get to it.

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Amplitude

FEBRUARY 18, 2024

Hear Amplitude Director of Design Jenny Chang’s advice on becoming a leader, prioritizing well-being, and building a data-informed culture.

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Information 59

Product Management Unpacked

JULY 19, 2018

Data shows that product managers are in the top 10 roles that are hardest to fill across the information technology sector. Product management is a complex role that requires a balance of soft and hard skills to manage requirements and deliver quality products that align with business goals.

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Mind the Product

JANUARY 10, 2018

Qualitative versus quantitative data: we’ve all been involved in a conversation debating their respective merits at some point in our careers. So which type of data is better? Qualitative data is information that can’t be measured and which is subjective, like how intuitive a feature is to use.

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Userpilot

SEPTEMBER 7, 2022

How do you collect customer data and identify white space opportunities? To collect data for internal white space analysis, use these methods: 1. Send microsurveys to collect data on missing features. You can use these tools to collect and process customer data for white space analysis: 1. You’re in the right place!

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Mixpanel

FEBRUARY 16, 2022

We’ve found that while there’s a lot of great content on how a PLG strategy works conceptually, there’s very little in the way of concrete examples or best practices for how data and analytics teams should implement it. Solving this challenge required a new data infrastructure, and the rest of this post will detail how we did that.

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The Product HQ

FEBRUARY 1, 2023

Interested in learning how to write a data science product manager resume? Becoming a product manager with a data science background is difficult, and that’s why it’s hard to find the right advice on writing a data science product manager resume. Either you are a data scientist who is transitioning to product management.

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PMLesson's Ace the PM Interview

MARCH 3, 2020

Data nerds of the world, rejoice! Data science has topped “best jobs” lists for years. LinkedIn reported a 56% increase in job openings from 2018 to 2019, and IBM reports that data science jobs stay open 5 days longer than average postings. As a data analyst, you’re ahead of the game. But you knew that didn’t you?

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Indicative

APRIL 27, 2020

Tech professionals who spend their workdays analyzing data, searching for information, learning about processes, writing reports, reading information, and troubleshooting problems are particularly prone to mental fatigue. . Whether you are a data professional or a newcomer, you’ll enjoy the following: Data Stories. Data Skeptic.

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