Tom Tunguz

MARCH 25, 2020

We shared a vision for a new way of working with data. More data is being stored in data lakes like Amazon S3 and Azure Data Lake Storage. Analysts and product managers and sales operations teams deploy Tableau, Power BI, Looker, Superset, and many other tools to parse their data. That’s Dremio.

Engineering 260

Engineering Data Azure Data Analysis 260

User Pilot

AUGUST 24, 2024

Does the thought of quantitative data analysis bring back the horrors of math classes? But conducting quantitative data analysis doesn’t have to be hard with the right tools. TL;DR Quantitative data analysis is the process of using statistical methods to define, summarize, and contextualize numerical data.

Data Analysis 105

Data Analysis Data Scale Trends 105

User Pilot

SEPTEMBER 20, 2024

Let’s face it: qualitative data analysis is vital to understanding why users act in a particular way and how they feel about your product in a way that quantitative product analytics can’t. This article will teach you how to analyze qualitative data to inform product development and improve the product experience.

Data Analysis 105

Data Analysis Data Software Review Interviewing 105

User Pilot

JANUARY 29, 2024

Data analysis is integral to a product manager’s job – it’s what helps them build impactful products. This article dives deep into data analysis for product managers. User data analysis helps: Provide direction for product development , allowing for effective resource allocation.

Data Analysis 105

Data Analysis Data Management User Experience 105

Tom Tunguz

JANUARY 14, 2021

Cloud Data Lakes are the future of large scale data analysis , and the more than 5000 registrants to the first conference substantiate this massive wave. Also, Tableau’s Chief Product Officer François Ajenstat will discuss the Tableau’s role in the cloud data lake.

VP of Engineering 203

VP of Engineering Cloud Data AWS 203

SaaStr

DECEMBER 14, 2021

Kazuki Ohta, CEO & Founder at Treasure Data, shares his company’s story of how pivoting at the right time saved their business and accelerated their growth to $100 million ARR. When it launched in 2011, Treasure Data’s positioning was a Hadoop-based big data warehouse in the cloud. The Platform: $0 – $5 Million ARR.

Sales Hiring 312

Sales Hiring Data AWS Leadership 312

Tom Tunguz

NOVEMBER 8, 2023

At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. First, they have driven an increased demand for data and are causing a complete architecture inside companies. Second, they change the way that we manipulate data.

Artificial Intelligence 228

Artificial Intelligence Trends Data Software Review 228

User Pilot

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. Sending surveys to specific user segments.

Data Analysis 98

Data Analysis Scaling Artificial Intelligence Data 98

Tom Tunguz

JULY 27, 2023

AI will automate 25-50% of white collar work including data analysis. Does that will data teams shrink in size? On the contrary, while AI can automate some work, it will also demand much more from data teams. Typical tasks - writing SQL & charting data - will become mostly automated.

AI 186

AI Data Data Analysis compliance 186

The Daily Egg

DECEMBER 25, 2020

But the SEO process itself is a vast undertaking, involving everything from keyword research to data analysis to active outreach. SEO is a vital process for any business hoping to attract traffic online these days. Managing all of those tasks yourself is a tall order—one you probably don’t have a ton of bandwidth for while […].

Data Analysis 354

Data Analysis Data Management Business 354

User Pilot

FEBRUARY 28, 2024

These tools help with improving retention, enhancing the user experience , and making data-driven decisions. Mixpanel is a great tool when you need excellent data visualization options from your sales funnel software. Segmentation : The tool should allow you to filter the funnel data for each user segment you set.

Payment Solutions 105

Payment Solutions Data Analysis Software Review SaaS Payments 105

Tom Tunguz

APRIL 11, 2023

For each of the 14 weeks, more people searched for ChatGPT than Taylor Swift according to Google Trends data. Millions of people want to try new products, all at once, to answer the question : how could AI help me with my email, my homework, my music creation, my graphic design, my data analysis, my plumbing business?

ChatGPT 360

ChatGPT AI Search Blockchain Data Analysis 360

Tom Tunguz

NOVEMBER 14, 2022

For the last ten years, the data ecosystem has focused on big data - the bigger the data set, the more exciting. Some of the brightest minds in data founded MotherDuck including BigQuery founding engineer Jordan Tigani & a broader team from Snowflake, Databricks, AWS, Meta, Elastic & Firebolt, among others.

Cloud 356

Cloud AWS Data Analysis Benchmarks 356

Inturact

DECEMBER 11, 2023

And one thing that helps in improving user onboarding is — data. User onboarding is never finished and it's always a work in progress. It points out exactly where users are having trouble and why they might be leaving

Data Analysis 110

Data Analysis Onboarding Data 110

Tom Tunguz

MARCH 27, 2023

The VSB chart shows a bi-modal tilt to the data: most companies observe a moderate increase but about one-quarter have seen a doubling. The data analysis uses the results from the 2023 GTM Survey. The distribution chart above shows about one-third of enterprise sales cycles take 50% or longer than last year to complete.

Startup 350

Startup SMB Headcount Sales 350

Tom Tunguz

OCTOBER 19, 2021

We believe the 2020s are the decade of data. The number of data teams is growing as more companies rely on data for daily operations. During this period, there have been three main categories of data work: business intelligence, machine learning, and exploratory analytics. The trends are ubiquitous and plain.

Sales Hiring 335

Sales Hiring Artificial Intelligence Machine Learning Data Analysis 335

TechEmpower SaaS

MARCH 4, 2024

Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. This AI-centric approach transforms sales into a data-driven field, emphasizing efficiency and personalized customer experiences.

Generative AI 443

Generative AI CTO Hire AI Sales Recruiting 443

Tom Tunguz

MARCH 19, 2024

Within data teams, a tension exists. Centralize the data analysis to ensure accuracy or enable end-users to analyze their own data directly which is faster & more direct. Cloud databases ushered in an opportunity to centralize that data analysis again. This was a special Office Hours for two reasons.

Data 147

Data Data Analysis Cloud AI 147

Tom Tunguz

JULY 7, 2024

It’s not a SQL statement that would work today in a cloud data warehouse. Sure enough, ChatGPT answers the question : This pseudocode blends the structured queries of data analysis with the unstructured data contained in a classic novel. Benn views the future of BI as the narrative, the story behind the data.

Artificial Intelligence 269

Artificial Intelligence ChatGPT Data Analysis AI 269

User Pilot

MARCH 4, 2024

These personas should be based on real data and insights from user research. Collect data to recognize repeat user behavior Use tools such as funnel analysis, user interviews, surveys, heatmaps , etc., Next, analyze the user journey maps for your ideal users and observe how they use your tool. User persona example.

Data Analysis 105

Data Analysis Data Construction Interviewing 105

IT World

SEPTEMBER 17, 2021

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis -- plus a few miscellaneous tasks tossed in. My favorite R packages for data visualization and munging. -. data wrangling, data analysis. Especially useful for operating on data by categories.

Data 145

Data Data Analysis Forecasting Cloud 145

Neil Patel

DECEMBER 1, 2020

Data visualization tools turn a whole mess of numbers into a crisp image that says it all. With the right product, you can take command of overwhelming amounts of data to tell a clear and compelling story, while leaving your audience with a visual that resonates long after your presentation concludes. Don’t worry. Connectivity.

Data 141

Data Software Review Scale Sales Hiring 141

User Pilot

JULY 29, 2024

To gather the information needed to avoid this, quantitative data is a valuable tool for all startups. This article will examine quantitative data, the difference between quantitative and qualitative data, and how to collect the former. It is often shown in bar or pie charts.

Data 105

Data Data Analysis User Experience Trends 105

Tom Tunguz

JANUARY 4, 2019

But the average MRR has increased substantially from the last time I analyzed the data. The usual caveats to this data analysis apply. These figures are larger than I expected. To be fair, 22% of companies raised at $0 in ARR. note I’m switching from median to average here).

Benchmarks 261

Benchmarks Startup SaaS Data Analysis 261

User Pilot

MARCH 15, 2024

What is data-driven analytics in SaaS? How to conduct user data analysis? TL;DR Data-driven analytics describes the process of collecting, analyzing , and interpreting customer data to help organizations make better-informed product and strategic business decisions. Data collection comes next.

Data 104

Data Data Analysis SaaS Software Review 104

User Pilot

FEBRUARY 21, 2024

In SaaS, the top data analytics trends can either be a revolution or just fluff. So what are the trends in the data analytics landscape that are actually important for product management ? Edge computing : Processes data closer to its source, analyzing data faster, giving real-time insights, and reducing latency and network costs.

Trends 102

Trends Artificial Intelligence Data Outsourced Development 102

User Pilot

OCTOBER 12, 2023

What are user data analytics? From this article, you’re going to find out about different types of user data analysis and how to develop a user data analytics strategy that will help your team make data-driven decisions to enhance customer and product experience. What are user data analytics?

Data 105

Data Data Analysis User Experience Trends 105

User Pilot

OCTOBER 31, 2022

Wondering how to analyse qualitative data and get actionable insights? This article will help you analyse qualitative data and fuel your product growth. We’ll walk you through the following steps: 5 qualitative data analysis methods. 5 steps to analysing qualitative data. What is qualitative data analysis?

Data 98

Data Data Analysis Interviewing Underperforming Technical Team 98

Neil Patel

NOVEMBER 3, 2021

Data labeling turns raw data into useful information that can then be utilized for optimized marketing. However, turning raw data into labeled data takes time. The good news is data labeling is scalable when you work with the right data labeling software. What Is Data Labeling?

Scale 125

Scale Outsourcing Services Artificial Intelligence Scaling 125

User Pilot

JUNE 17, 2024

Understanding how to analyze survey data doesn’t have to be complicated. Effectively analyzing data from your user feedback will also help you eliminate assumptions and create marketing strategies that positively impact your audience. The two main types of survey data are quantitative data and qualitative data.

Data 105

Data Data Analysis Software Review User Experience 105

Tom Tunguz

MARCH 4, 2024

Colin is no stranger to business intelligence & data analysis. He worked on search quality at Google, founded a dynamic pricing company for the restaurant industry, then ran data at a hotel tonight before becoming Chief Analytics Officer at Looker through its acquisition by Google.

Technical Advisors 205

Technical Advisors AI Search Data Analysis Acquisition 205

User Pilot

OCTOBER 30, 2023

Company data is one of the most valuable assets that a SaaS business can have. As such, implementing a data maturity model to get the most out of new insights will help you act on your product analytics instead of becoming distracted by vanity metrics. Stage one is data awareness which centers around exploring available analytics.

Data 105

Data Underperforming Technical Team Government Scale 105

User Pilot

DECEMBER 7, 2023

Data is the backbone of modern marketing. Thus, properly harnessing data-driven insights is key to achieving product growth and business success. This article explores what data-driven insights are and why they are important. To adopt a data-driven approach, you’ll need to first understand your business goals.

Payment Methods 105

Payment Methods SaaS Payments Data Payments 105

SaaStr

JANUARY 29, 2021

A VP to manage them, 2 directors to manage half of the CSMs each, and probably an analyst to support her in data analysis, etc. (4). So we’ll need about 15-20 CSMs to hit our plan for next year, although we can hire some later in the year, so we can call it 15 for now, and. Director Demand Gen.

Sales Hiring 350

Sales Hiring Headcount Scale Engineering 350

User Pilot

JULY 9, 2024

Harnessing the power of data-driven analysis can transform how you make decisions , fine-tune your strategies, and, ultimately, boost your bottom line. This article will be your go-to guide, breaking down the concept of data-driven analysis and showing you practical ways to apply it to your specific business needs.

Data 82

Data Software Review Data Analysis Technical Review 82