The Product Coalition

NOVEMBER 17, 2023

Extracting valuable insights from business data and taking timely actions are critical. However, the challenge lies in dealing with the rapidly expanding volume of data due to incorporating both traditional and non-traditional data sources into the data governance ecosystem.

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The Product Coalition

JULY 28, 2023

In the first part of this series I covered the why behind data products. In the previous article I gave examples of some of the data products you interact with everyday. The key thing to remember is that a data product is “ …facilitating an end goal using data ” (DJ Patil).

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Intercom, Inc.

FEBRUARY 4, 2020

Today we’re delighted to launch our brand new API version 2.0 , which makes it easier for our customers to pull, analyze, and update Intercom contact and conversation data. This will more easily allow our customers to transform their data into valuable performance reports and business insights. Finding the personal in the data.

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Product Culture

OCTOBER 4, 2023

As your product grows, your approach to data collection will likely become more sophisticated. This combination of quantitative and qualitative data is powerful when executed well. Tell me a data story. Lack of revenue growth will tell you something, but only when it’s too late. Try to go deeper.

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Alchemer Mobile

SEPTEMBER 6, 2023

Alchemer Mobile and Web Dashboard Has a New Look On September 6, your Dashboard was updated with new colors, naming, and the Alchemer logo. The post Enhance Your Data Security with Single Sign-On for Mobile and Web appeared first on Alchemer. Learn how to reorder survey questions from our Help documentation.

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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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Userpilot

MARCH 4, 2024

By deferring non-essential choices to later stages—such as company name, job title, or account preferences—users can quickly sign up and engage with the product, reducing form abandonment rates. These personas should be based on real data and insights from user research. Userpilot’s concise sign-up form. User persona example.

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Userpilot

JUNE 8, 2023

Do you want to leverage event data to make data-driven decisions to enhance user experience? Event data allows you to understand your users’ behaviors and needs on a deeper level. It encompasses a wealth of data like user actions, feature usage, and beyond. What is event data?

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The Product Coalition

APRIL 26, 2021

TL; DR: Data-Informed Retrospectives In their book Agile Retrospectives , Esther Derby and Diana Larsen popularized the idea that a Sprint Retrospect comprises five stages. The second stage refers to gathering data so that the Scrum Team can have data-informed Retrospectives. Shall I notify you about articles like this one?

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Userpilot

MARCH 23, 2023

Today, we’ll be focusing on closed-loop analytics and how they can help you better manage and benefit from data! TL;DR Marketing and sales teams have different goals, which is why they often have different data sources or metrics. The key is to share data between the teams anyway. What are closed-loop analytics?

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Mind the Product

APRIL 24, 2019

Jenessa Lancaster is a data scientist at Ocado Technology. In this ProductTank London talk, she discusses the importance of communicating data concepts to non-specialist audiences. We live in promising times for data science in business development. Communicating Data Science. Her belief?

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The Product Coalition

DECEMBER 12, 2022

need an efficient and convenient way to sort through all of their documents and data streams to identify documents related to specific processes and handle them accordingly. Life science companies operate in a highly regulated, data-and-document-intensive environments. Some Clinical trial sites still use paper.

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Userpilot

NOVEMBER 26, 2023

In this article, we're going to: Set out how quantitative data analysis can lead to conversion optimization. How to leverage CRO analytics data to enhance conversion processes. CRO analytics is about leveraging quantitative data and analytics to understand how users interact with a product, service, or series of web pages.

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Nulab

JANUARY 3, 2022

We are pleased to announce that Cacoo has been named the Best Overall Flowchart Software of 2021 on Digital.com. Cacoo’s collection of templates also makes it easy to input and edit data or import custom elements. As 2021 draws to a close, all of us at Nulab are thankful to be ending the year on a celebratory note.

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Userpilot

AUGUST 2, 2023

With the amount of data companies have available, there is no excuse not to use data-driven email marketing. Whereas data-driven email marketing uses valuable customer data to send the right email at the right time to assist with your product’s growth. What is data-driven email marketing? Book a demo now.

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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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Userpilot

MAY 31, 2023

Wondering how to unlock the full potential of your survey data and if survey data analysis will be of any help? The sheer volume of data generated can quickly become overwhelming, and this is where survey data analysis can help you. Quantitative data is numerical data or information you can easily measure for analysis.

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The Product Coalition

OCTOBER 15, 2019

How to Create a Tracking Plan for Your Products In my previous post on How to Use Data in Product Management , I talked about what is Quantitative and Qualitative data. (If Naming your events and actions The name for your events is critical to your data collection. You can also download the list here.

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Userpilot

JUNE 6, 2023

Product data analytics and product management are inseparable. Instead of relying on their hunches and anecdotal evidence, product teams should leverage data to make informed decisions. Our ultimate guide to product data analytics explores: The most relevant metrics teams should track. What is product data analytics?

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The Product Coalition

APRIL 8, 2020

I tend to question any data I get and always double check it. Having found an alternative data source, I checked everything again and the numbers didn’t match. I started digging and found that when setting up the experiment, we got the version names wrong. The results were stunning?—?with What a success! Woof woof grrrr.

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Amplitude

JANUARY 21, 2021

The road to better decision-making begins with enabling self-service access to data. When various team members have data in front of them, they can have informed conversations about the reality that the data represents. When good data gets into the hands of great people, companies can realize amazing business outcomes.

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AB Tasty

MARCH 17, 2022

At AB Tasty, we think, breathe, eat, drink, and sleep experimentation – all in the name of improving digital experiences. Over the coming months, we’re going to peel back a layer to take a closer look at what’s under the hood of experimentation: the data.

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Amplitude

APRIL 20, 2021

Today, we are thrilled to announce several data management capabilities to proactively surface issues in your data. These updates enhance our existing data management experience— Govern —with the addition of new tools to help your team audit data, spot unusual events, and keep taxonomy consistent across your team’s usage of Amplitude.

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Modus Create

JULY 27, 2022

It’s common to use APIs when working with external data sources on some features in Angular. In such situations, you can fake a data source or mock the data to fulfill your immediate need and focus on your Angular project instead. Mocking data with a simple JSON file . Your JSON Data. Using json-server.

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Iteratively Blog

MARCH 15, 2020

As folks who constantly deal with data, finding the right resources to refer in times of need is a challenge. Additionally, if you simply Google the phrase, ‘data analytics resources’, you will be overwhelmed. To solve this, we created an internal doc with the best five of every kind of resource that data folks generally refer to.

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Userpilot

AUGUST 10, 2022

So let’s learn how to collect and act on customer data! Customer insight is customer data collected from different touchpoints of the user journey that the product teams use to understand what users like and dislike about the product. Mixpanel — for collecting user behavioral data from the website and in-app.

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Userpilot

OCTOBER 24, 2022

There are a huge variety of different survey templates to choose from: signup flow, welcome screen , pain points, validating assumptions, churn, and long-form (just to name a few). The stronger the foundation of qualitative and quantitative data gathered through interviews, studies, and surveys, the more useful your personas will be.

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Amplitude

AUGUST 19, 2020

On the data management team at Amplitude, we spend a lot of time talking about data functionality, which is the ability of your product analytics taxonomy to answer the questions that you have. There are three factors that are critical to the success of data functionality: accuracy, comprehensiveness, and usability.

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Mixpanel

OCTOBER 27, 2020

There’s no debating that data is essential for creating an effective product strategy. To kick off our series on avoiding fallacies and biases in data, we’re talking about Simpson’s paradox and the importance of segmenting data to distinguish coincidence from fact. But, left unchecked, data can lead you astray.

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PMLesson's Ace the PM Interview

FEBRUARY 24, 2020

If you’re looking to break into tech, you’ve seen the term “data science” thrown around. It’s no surprise HBR named Data Scientist the “sexiest job of the 21st century”; data is more valuable and more available than ever. Careers in data are mysterious, but luckily for job seekers, patterns are emerging.

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Antwak Blog

FEBRUARY 4, 2021

Predictive Modeling in Data Science is more like the answer to the question “What is going to happen in the future, based on known past behaviors?”. Modeling is an essential part of Data Science and it is mainly divided into predictive and preventive modeling. It puts data in categories based on its historical data.

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Amplitude

AUGUST 19, 2020

On the data management team at Amplitude, we spend a lot of time talking about data functionality, which is the ability of your product analytics taxonomy to answer the questions that you have. There are three factors that are critical to the success of data functionality: accuracy, comprehensiveness, and usability.

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The Product Coalition

MARCH 3, 2024

In the ever-evolving world of marketing, understanding your customers isn’t just about knowing their names and numbers, it’s about predicting their next move. Enter customer behavior prediction, a revolutionary approach that utilizes data and technology to forecast what your customers will do, buy, or feel in the future. Here’s how: 1.

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eG Innovations

APRIL 12, 2019

More than 45,000 data points were collected across 1,500 enterprise IT stakeholders with budget responsibilities. We are proud to announce that eG Innovations’ flagship monitoring solution, eG Enterprise , was named among the top 10 CAPM tools in the 2019 Vendor Selection Matrix™ for CAPM. Explore customer reviews of eG Enterprise APM.

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Amplitude

AUGUST 8, 2019

My goal is to make it easier for companies to get up and running on Amplitude, so I spend a lot of time thinking about how our customers get data into our product and make sure that the data quality is good so that people can do analyses. When looking through Company B’s data, it is pretty easy to find the event you are looking for.

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Gainsight

AUGUST 31, 2022

Lacking a data-driven approach, many CX leaders are reactive rather than strategic, cannot identify high-value vs. low-value activities, do not know how specific activities correlate to leading indicators or lagging outcomes, and (therefore) cannot demonstrate the true value of CX to their own executives and boards. Hard data.

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Birst BI

NOVEMBER 20, 2018

When you hear about Data Science, Big Data, Analytics, Artificial Intelligence, Machine Learning, or Deep Learning, you may end up feeling a bit confused about what these terms mean. The simplest answer is that these terms refer to some of the many analytic methods available to Data Scientists. What are overlaps and differences?

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