The Daily Egg

DECEMBER 30, 2020

The post Best Data Analysis Software appeared first on The Daily Egg. Have you heard of Michael Burry? He’s a hedge fund manager who had foreseen the shocking 2007-2008 housing collapse.

Data Analysis 255

Data Analysis Data Software Management 255

Neil Patel

JANUARY 25, 2021

The thing about data is it helps you make better business decisions. Everyone has questions when it comes to choosing data analysis software. Why are there so many data analytics tools? How to Choose the Best Data Analysis Software for You.

Data Analysis 131

Data Analysis Data Software Software Review 131

Tom Tunguz

JULY 8, 2020

Cloud Data Lakes are a trend we’ve been excited about for a long time at Redpoint. This modern architecture for data analysis, operational metrics, and machine learning enables companies to process data in new ways.

Data Analysis 235

Data Analysis Data Scaling Cloud 235

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. It consists of an overhauled Conversations API, as well as brand new Contacts and Data Attributes APIs.

Data Analysis 231

Data Analysis Data Construction Engineering 231

Speaker: Amanda Stockwell, President of Stockwell Strategy

Many Product Managers feel quality user research can't keep up with the fast-paced agile teams. However, if you're willing to adapt, you don't have to sacrifice agility or insights. Join Amanda Stockwell, President of Stockwell Strategy, as she covers issues agile teams have and how to solve them.

Management

SaaS Metrics

SEPTEMBER 9, 2022

The biggest trend in business today is data analytics. Businesses big and small are using their customer and supply data to make informed decisions that have helped them reap huge rewards from the marketplace. How do businesses use data analytics and what do they do to get started?

Data Analysis 52

Data Analysis Data Metrics SaaS 52

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 Sales cycles shifted dramatically in 2023.

SMB 233

SMB Startup Headcount Benchmarks 233

CloseSaaS

SEPTEMBER 7, 2022

Data analysis is key to building great sales teams. Here are the sales metrics top sales managers and salespeople use to drive record-breaking results. Sales Metrics

Data Analysis 52

Data Analysis Metrics Data Management 52

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. Interest in DuckDB has grown geometrically over the past few years because of what it can do with data. Snowflake uses DuckDB to build data apps with Streamlit.

Cloud 315

Cloud AWS Benchmarks Data 315

Tom Tunguz

NOVEMBER 29, 2022

Data visualization is a passion of mine. Malloy makes hyperdimensional data analysis straightforward. This is automobile recall data in the US using Malloy. You can click on any data point to drill into it. We’re in the Decade of Data.

Data 205

Data Headcount Data Analysis Software Review 205

Andreessen Horowitz

NOVEMBER 9, 2022

For the first time, this brought data analysis and computing together, in a way thousands of times more powerful than pen and paper. VisiCalc, the first computer-based spreadsheet, was launched in 1979.

Investment 87

Investment Data Analysis Data Enterprise 87

Andreessen Horowitz

FEBRUARY 17, 2022

Decades after its creation, the majority of the world’s databases still run on SQL, and the majority of data analysis still happens via SQL queries. Try as they may, critics of SQL (syntax query language) have never really been able to dent its popularity.

Software 131

Software Data Analysis Data 131

IT World

MARCH 22, 2023

The use of data to inform AI tools can unintentionally reveal sensitive and personal information. The emergence of artificial intelligence (AI) has opened the door to endless opportunities across hundreds of industries, but privacy continues to be huge concern.

Innovation 109

Innovation AI Data Analysis Engineering 109

CloudKettle

FEBRUARY 21, 2022

Business Intelligence (BI) comprises the strategies and technologies used by enterprises for data analysis and the management of business information.

Data Analysis 52

Data Analysis Business Enterprise Technology 52

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.

Data 277

Data Machine Learning Data Analysis Cloud 277

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. In my predictions post for 2021, I said that the 2020s will be the decade of data. Cloud data lakes are a key technology enabling the innovation in analytics and machine learning.

Data 190

Data Cloud VP of Engineering AWS 190

Tom Tunguz

MARCH 21, 2022

If you’ve never seen a data app, that’s the question you should be asking yourself. Data apps are living documents that weave narratives around data and charts to explain, persuade, or empower. This workflow is why data apps are the future.

Data 241

Data Pricing Data Analysis Revenue 241

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. There needs to be a layer between them to make all that data accessible to these users - a data lake engine.

Engineering 196

Engineering Data Azure Data Analysis 196

Nimble - Sales

AUGUST 28, 2020

Data Analysis 65

Data Analysis Sales Software Data 65

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. The sample size is on the smaller side; there are companies who raise Series Bs at less ARR than the median A for other factors; this analysis ignores space, competitive dynamics, team composition and auction pressure of financings How far along was the typical SaaS Series A in 2018? The median business was at $1.8M

Benchmarks 227

Benchmarks Startup SaaS Data Analysis 227

SaaStr

FEBRUARY 6, 2023

After extensive user research, data analysis, and internal discussion, Uber launched the feature—and it backfired. More people are adopting cloud-based products across industries leading to rapid digital transformation and SaaS hypergrowth.

Travel 179

Travel Management Innovation Scaling 179

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.

Data 284

Data AWS Cloud Data Analysis 284

User Pilot

MARCH 2, 2023

Wondering how can feedback analysis help you improve customer satisfaction? Collecting and analyzing user sentiment is critical for any SaaS but you need to gather both qualitative and quantitative data. Gathering data about public review s and online mentions.

AI 87

AI Data Data Analysis Machine Learning 87

Tom Tunguz

FEBRUARY 16, 2016

Most modern data architectures employ many different data stores and processing engines. Data analysts looking to unearth insights within these data stores must move data back and forth between different systems and different data formats. As the number of new open source projects continues to grow geometrically, this data fragmentation is likely to splinter further. ” Arrow promises data engineers three things.

Data Analysis 100

Data Analysis Data Engineering Innovation 100

SaaStr

MAY 10, 2022

Here are four fundamental actions to consider for your risk management plan: Use historical data, analysis, and established precedents to contextualize and estimate the scope. Then, use it to inform your data-driven decisions on how to best adapt to any given situation.

Revenue 216

Revenue Travel Company Culture Innovation 216

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. data wrangling.

Data 145

Data Data Analysis Forecasting Cloud 145

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).

Sales Hiring 347

Sales Hiring Headcount Engineering SMB 347

Tom Tunguz

JULY 11, 2013

More and more companies realize their proprietary data contains insights that drive tremendous competitive advantage. Enabling an organization to make data driven decisions is a long term process. Below is the current big data adoption process and where we are within it: Companies generate proprietary data whose volumes can’t be handled by existing tools. Companies build or buying the tools and expertise to store and process that data.

Data 100

Data Healthcare Data Analysis Innovation 100

User Pilot

MARCH 7, 2023

Amplitude is one of the best data analysis solutions to help you make data-driven decisions and grow your business. TL;DR Amplitude is a product analytics tool that turns raw data from user behavior into critical insights. Amplitude: Retention analysis.

Retention 90

Retention Data Analysis Trends Pricing 90

User Pilot

MARCH 21, 2023

TL;DR Application analytics is the process of collecting and analyzing product usage data to inform product development. Cohort analysis gives you insights into the impact of product changes on user retention and how it varies across seasons. Application analytics: Heatmap analysis.

Management 78

Management compliance Mobile Engagement 78

Sixteen Ventures

FEBRUARY 27, 2023

Prompt Engineering is the Key With a well-crafted prompt, you can quickly extract useful insights that would be impossible to get from traditional data analysis methods, to better understand new customers in ways that would traditionally have taken far too long to do consistently, etc.

Customer Success 62

Customer Success Engineering Data Analysis Engagement 62

User Pilot

FEBRUARY 15, 2023

Analytics software is an application that enables you to collect user behavior data , filter it, and analyze it. Amplitude is a state-of-the-art analytics tool that enables you to track product usage data across different platforms and integrate data from various sources.

Management 92

Management Pricing SaaS Mobile 92

Intercom, Inc.

OCTOBER 5, 2022

The truth is, it takes a lot of operational work, data analysis, and support skills to make world-class customer service look easy. View the data that has the largest impact on business performance.

Data Analysis 118

Data Analysis Engagement Metrics Data 118

ChurnZero

DECEMBER 10, 2019

While the team had the ability to view aggregate customer data, it existed in a web of unorganized spreadsheets. Uncovering customer insights required time-intensive manual analysis. Dashboards & Automation Drive Customer Success Team Efficiency – A Success Story . .

Data Analysis 75

Data Analysis Customer Success Retention Trends 75

Intercom, Inc.

FEBRUARY 2, 2022

it might be a written document, presentation, data analysis, design, video, etc.). If you want to help shape the future of the RAD team (Research, Analytics & Data Science) at a fast-growing company on a mission to make internet business personal, take a look at our open roles.

Social Media 220

Social Media Data Analysis Advertising Finance 220

ChurnZero

DECEMBER 27, 2022

2/ Transforming CS teams into data-driven powerhouses with Success Insights. You have a mountain of customer data. That kind of data analysis, when spread across your entire customer base, takes time and resources and preferably a computer brain.

Headcount 90

Headcount Benchmarks Customer Success Leadership 90

User Pilot

MARCH 16, 2023

Analysis paralysis in product management can have some serious implications not only for the product but also for the business. What is analysis paralysis though? We also look at how product managers can overcome analysis paralysis to make better product decisions.

Management 92

Management Data Engagement Data Analysis 92

User Pilot

MARCH 14, 2023

Marketing teams implementing a data segmentation strategy enjoy better conversion rates and higher revenues than those who don’t. Customer data segmentation helps businesses create tailored marketing plans around each customer’s needs, leading to better customer retention.

Data 92

Data Churn SaaS Trends 92

Baremetrics

MARCH 23, 2021

Cohort retention analysis is a strategy aimed at improving retention and reducing customer attrition. Baremetrics has cohort analysis built into its suite of advanced data analysis tools. 1 What is Cohort Analysis? What is Cohort Analysis?

Churn 98

Churn Retention Acquisition Data Analysis 98

Tom Tunguz

DECEMBER 2, 2015

For example, a data engineering role may require familiarity with data analysis tools. The same data analysis job would require an ability to learn new technologies and simplify complex data into comprehensible insights for the rest of a team. Last night, SaaS Office Hours at Redpoint welcomed Maia Josebachvilli , the VP of People and Strategy of Greenhouse. Maia is a thought leader in human resources.

Startup 104

Startup Sales Recruiting Interviewing Data Analysis 104