NextBigWhat

NOVEMBER 20, 2022

6 – SQL. SQL is a database-accessing language. SQL is a tool for communicating and accessing database data, which is needed to extract meaningful data for analysis. Most large companies store their data in SQL. SQL is a must-learn for data analysts. 6 – SQL. 7 – RapidMiner.

Data Visualization 52

Data Visualization Analytic Tools Reporting Tools Artificial Inteligence 52

Mixpanel

MARCH 17, 2021

No separate SDK or pipelines required; just a couple lines of SQL in Census. This gives product teams the ability to quickly learn about their users within Mixpanel’s interactive reports. All of this, without having to write code or SQL queries,” he adds. To learn how it works, check out this quick video.

Data Visualization 98

Data Visualization Analytic Tools Customer Feedback Customer Experience 98

Intercom, Inc.

FEBRUARY 4, 2020

Our challenge was to make the interface powerful yet intuitive, so we explored a number of options: 1: SQL-like language. One of our early explorations was on an SQL-like language, such as that used in Salesforce and Jira APIs. Also, it was not clear how to deliver the SQL query in a Restful request. FROM Contact.

Data Visualization 231

Data Visualization Customer Experience Customer Feedback Reporting Tools 231

The Product Coalition

JUNE 17, 2021

If you’ve already decided to learn Java, we should talk about such software engineering jobs as a Java Full Stack developer. You also explore an exciting path of learning in a gamified way, you even create your own versions of popular games, such as Snake or Mine Picker. Who Is a Java Full Stack Developer?

Development 133

Development Data Visualization User Testing Framework 133

Crafty CTO

APRIL 23, 2024

Bigger Picture: Other Needs When I broadened my thinking, I quickly realized we had already implemented two other one-off remote access solutions: To enable SQL GUI tool access to the database, we set up bastion servers on our staging and production VPCs. We attached to the bastions using Remote Desktop. SSH, Solved Our third use case is SSH.

Data Visualization 40

Data Visualization Weak Development Team ChatGPT Customer Experience 40

Userpilot

JUNE 30, 2022

To measure the success of your marketing efforts, you can track the return on investment, customer lifetime value , and the MQL to SQL rate. MQL to SQL rate. A sales-qualified lead (SQL) is a prospective customer who has expressed a clear intent to purchase your product. That said, MQLs and SQLs are both potential customers.

Onboarding KPIs 96

Onboarding KPIs Feedback Software Customer Experience Customer Feedback 96

Indicative

FEBRUARY 25, 2020

In this article, you’ll learn about a new genre of customer analytics capabilities that speak the language of people, rather than systems. The limitations of SQL. SQL is the basis for many modern BI systems — including Looker and Tableau. SQL can only take you so far because it speaks the language of databases.

Analytic Tools 94

Analytic Tools Data Visualization Reporting Tools Feedback Software 94

Mixpanel

JANUARY 9, 2020

SQL, No-SQL, Real-time, Event-driven. Mostly SQL, some No-SQL. C Data is analyzed by data scientists, machine learning, and engineering folks. Typically stored in both RDBMS & warehouses. When a user “likes” another user’s picture. The location from which a user is posting. Business operations. Pricing plan.

Data Visualization 129

Data Visualization Analytic Tools Feedback Software Customer Feedback 129

Intercom, Inc.

JUNE 7, 2022

Sales qualified lead (SQL). Learn more ?. Learn more ?. Learn more ?. For many years, B2B companies have executed their inbound sales funnel in a traditional manner that looked a little something like this: Visitor prospects. Marketing qualified lead (MQL). Opportunity. Envoy accelerated lead volume through Intercom.

Inbound 245

Inbound Customer Communications Research Software Data Visualization 245

Userpilot

FEBRUARY 26, 2024

TL;DR Marketing funnel analysis is the process of evaluating how customers progress from the moment they learn about your product til they convert to paid accounts , and beyond. Examples include ad clicks, demo bookings, free trial sign-ups , MQL to SQL conversion rates , or activation rates. Let's get right into it!

Analytic Tools 101

Analytic Tools Data Visualization Feedback Software Research Software 101

Mixpanel

AUGUST 10, 2021

Tristan gives this example: “If you want to create a good retention rate cohort analysis, it takes you about 80 lines of cleanly formatted SQL, and there’s probably four or five common table expressions in there.” He’s written about how the standardization around SQL did some of that last decade.

Analytic Tools 126

Analytic Tools Data Visualization Engineering Transportation 126

Userpilot

APRIL 22, 2021

The #1 Product Manager Technical Skill: SQL. SQL is the language developers use to manage and interact with relational databases, such as Oracle, Microsoft SQL Server, Postgres, and many more. There are many tool options, though they bear their own cost and learning curve. You also don’t need to learn everything.

Analytic Tools 83

Analytic Tools Product Research Artificial Inteligence Product Management 83

The Product Coalition

DECEMBER 20, 2021

So, what is the right way to learn Java for manual testers who want to become automatizers? To make it happen, they need to solve a lot of coding tasks right from the very first days of their learning. Well, in the classroom during this period, we discussed the difficulties and learned to overcome them. Learn Unit testing.

Engineering 135

Engineering Software Review Reporting Tools Data Visualization 135

The Product Coalition

OCTOBER 2, 2022

I learned SQL and JavaScript to gain autonomy and engineers’ respect. While I learned the hard skills, the decisions we made weren’t better. Thankfully, I was attached to some smart and forgiving people who let me learn under them. You need to learn constantly. So what makes a great product manager? I was wrong.

Product Management 140

Product Management Product Manager Feedback Software User Testing 140

PMLesson's Ace the PM Interview

DECEMBER 3, 2020

Check out more system design interview prep resources here: [link] In system design interviews, you will often have to choose what database to use, and these databases are split into SQL and NoSQL types. SQL and NoSQL databases each have their own strengths (+) and weaknesses (-), and should be chosen appropriately based on the use case.

Data Visualization 52

Data Visualization Advertising Customer Experience Engineering 52

Roman Pichler

AUGUST 9, 2017

If you manage a digital product that end users employ, such as a web or mobile app, then you usually do not require in-depth technical skills, such as, being able to program in Java, write SQL code, or know which machine learning framework there are and if, say, TensorFlow is the right choice for your product.

Artificial Inteligence 187

Artificial Inteligence Weak Development Team Product Research User Testing 187

Reveal

OCTOBER 12, 2022

Typically, users access data in the data warehouse through analytics applications, SQL clients, or BI tools. . By using a data warehousing solution, leveraging advanced security techniques like a “slave read only” setup, which blocks malicious SQL code, and encrypted columns, you can keep all your data sources consolidated and protected.

Data Visualization 52

Data Visualization Analytic Tools Reporting Tools Research Software 52

Reveal

AUGUST 24, 2022

Not every business user is an experienced developer or has knowledge in coding in general, let alone understanding complex programming languages such as SQL , Python , and R. You can learn more about Reveal and how it works by downloading our SDK or by scheduling a quick demo. . No coding knowledge is required. Introduction to Reveal.

Data Visualization 95

Data Visualization Analytic Tools Reporting Tools User Testing 95

Indicative

OCTOBER 23, 2020

It is also useful for data science, engineering, machine learning, and data mining. Other solutions (in sub-categories of BI like Customer Analytics — such as Indicative ) have been designed to use without coding or SQL, making them more useful for those in product management, marketing, and data analyst roles.

Embedded Analytics 141

Embedded Analytics Analytic Tools Data Visualization Reporting Tools 141

Reveal

AUGUST 15, 2022

Logi Analytics requires a lot of SQL coding and to use the full potential of its functions and capabilities one must have a strong knowledge of SQL programming, HTML, JavaScript, and CSS. What is perhaps the biggest con of Logi Analytics is that it is a developer’s BI platform rather than a business user’s platform.

Embedded Analytics 52

Embedded Analytics Data Visualization Analytic Tools Reporting Tools 52

Userpilot

FEBRUARY 22, 2022

What is a sales qualified lead (SQL)? An SQL is a lead who’s interested in your product as a potential solution and is ready to be sold to. Typical SQLs perform actions like: Inquiring about pricing or visiting your pricing page. learn relevant information about their role and job to be done. Source: Medium. welcome them.

Feedback Software 105

Feedback Software Analytic Tools User Testing Customer Experience 105

Mixpanel

JUNE 1, 2023

But while this data is theoretically available for analysis, it’s not actually accessible to most people because analysis typically requires a technical stakeholder to run a SQL query. That makes ad-hoc querying much more natural than SQL, for example, and makes event analytics truly self-serve.

Data Visualization 52

Data Visualization Analytic Tools Events Reporting Tools 52

Mixpanel

DECEMBER 7, 2021

Access to data and analysis tools is what is driving this change: So much of the data being leveraged to solve product problems these days can be retrieved from a self-serve product analytics tool like Mixpanel, not laboriously large batches of SQL queries. Learning how to be more data-oriented is not easy. Business-product sense.

Data Visualization 105

Data Visualization Reporting Tools Analytic Tools Product Research 105

Reveal

DECEMBER 1, 2021

Embedded analytics platforms are a set of business intelligence (BI) capabilities and data visualization tools designed to deliver real-time reporting and advanced analytics including machine learning and AI (artificial intelligence) to users, providing them with insights in the context of their workflow.

Embedded Analytics 52

Embedded Analytics Data Visualization Analytic Tools Reporting Tools 52

PMLesson's Ace the PM Interview

JUNE 23, 2022

What are the Differences Between SQL and NoSQL? The main difference between SQL (Structured Query Language) and NoSQL is that SQL databases are based on a relational model. SQL databases are easy to use and understand. An example of a SQL database is Amazon RDS , and an example of a NoSQL database is Amazon DynamoDB.

Reporting Tools 52

Reporting Tools Analytic Tools Data Visualization Systems Review 52

eG Innovations

JANUARY 27, 2022

Which specific cloud services were being used e.g., AWS RDS vs. Azure SQL DB and AWS WorkSpaces vs. Microsoft AVD. Relational database services (AWS RDS, Azure SQL DB) have a higher adoption (45%) as compared to NoSQL services like AWS DynamoDB and Azure Cosmo DB (22%). Cloud instances (AWS EC2, Azure VM, etc.)

Reporting Tools 52

Reporting Tools Technology Data Visualization White Paper 52

Userpilot

SEPTEMBER 29, 2023

Next, define what metrics you’re interested in, like the MQL-to-SQL conversion rate or the churn rate. For example, when analyzing sales funnels, you’re most likely to be interested in the lead count, the MQL-to-SQL conversion rate, or closed deals. Conclusion Funnel analysis is an essential technique in every PM’s toolkit.

Data Visualization 101

Data Visualization Analytic Tools Customer Feedback Feedback Software 101

Reveal

DECEMBER 2, 2021

See predictions with machine learning – Reveal’s machine learning feature can be used to identify and visually display predictions from your data to make more evidence-based business decisions. Looker will need to put some form of an SQL database to query against. But we’ll, of course, leave it to you to decide.

Embedded Analytics 52

Embedded Analytics Data Visualization Analytic Tools Reporting Tools 52

Mixpanel

OCTOBER 19, 2023

How to build a data culture Don’t focus on tools or data for data’s sake Building a data culture doesn’t mean training everyone on your team to write SQL code or constructing advanced dashboards. After reviewing data and talking to users, we learned too many companies were struggling to connect their existing data sources to Mixpanel.

Data Visualization 98

Data Visualization Customer Experience Analytic Tools Software Review 98

Mixpanel

MAY 14, 2021

Census uses a process called reverse ETL (extract, transform, load) to connect to your cloud data warehouse, validate modeled data, and, with a few lines of SQL, place it directly into Mixpanel. Business intelligence relies on SQL queries to pull data out of a data warehouse, visualize it, then create a report.

Data Visualization 64

Data Visualization Customer Experience Customer Feedback User Testing 64

Reveal

JULY 20, 2022

Over 100 SQL and non-SQL data connectors are supported by Sisense. Reveal allows users to connect to various databases , including online sources like cloud storage drives, social media platforms, and SaaS applications as well as offline sources like Excel, SQL database, and more.

Embedded Analytics 52

Embedded Analytics Data Visualization Analytic Tools Reporting Tools 52

Lenny Rachitsky

APRIL 4, 2024

Continuously learn: Keep learning and adapting your approach based on feedback and results. He’s also invested in 100+ startups including OpenAI, AngelList, Coinbase, and Dropbox. Stay open to new techniques and insights that can further enhance your presentation skills. Lenny may be an investor in the companies discussed.

CTO 48

CTO Data Visualization Embedded Analytics Reporting Tools 48

Userpilot

JUNE 8, 2022

– Conversion metrics (visitor to sign up, trial to paid conversion rate, MQL to SQL conversion rate, PQL to SQL conversion rate). At this point, let’s get more granular and learn how different roles act on product data. – Retention metrics (retention rate, CLV , MRR, churn rate ). Product management KPIs.

Data Visualization 52

Data Visualization Analytic Tools Feedback Software Onboarding KPIs 52

Indicative

OCTOBER 29, 2020

What are you trying to learn? Their product team may want to learn about: Where people drop off in the signup flow. That opens up use cases to people far beyond those with statistics or SQL knowledge—enabling the entire team to turn customer data into thoughtful decisions. Simple, no-SQL user interface.

Analytic Tools 77

Analytic Tools Data Visualization Reporting Tools User Testing 77

NextBigWhat

JUNE 3, 2021

And this is where knowledge of SQL is helpful. Just learn a bit of functions and you can do a lot more with data and pretty much everything. APIs are everywhere – all of the apps on your phone integrate with third-party applications and all of these work using APIs. Excel / Google Sheets.

Research Software 52

Research Software Product Management Product Manager User Testing 52

Indicative

JULY 14, 2020

You can learn more about Google Analytics Free and its premium 360 version, here. That means BigQuery allows technical users to directly query datasets using SQL. By connecting Indicative to your BigQuery dataset, you can empower your non-technical users to achieve the same results without the use of SQL. . Learning Curve.

Data Visualization 137

Data Visualization Analytic Tools Reporting Tools User Testing 137

PMLesson's Ace the PM Interview

APRIL 26, 2022

Interested in getting help acing your data science or machine learning interview? Start Learning But as a data scientist or analyst whose position is in demand, those with formal training and little to no experience may still be able to find an excellent position. Start Learning What Does a Data Analyst Do?

Data Visualization 52

Data Visualization Analytic Tools Reporting Tools Research Software 52