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 210

Data Analysis Data Software Management 210

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 100

Data Analysis Data Software Machine Learning 100

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

Tomasz 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 79

Data Analysis Data Cloud Scaling 79

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Embedded Analytics can be the foundation of successful applications, and data storytelling is now critical for business today. It has become pivotal to drive decisions, generate actionable insights, and increase user adoption and stickiness.

Data

Inside Intercom

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 94

Data Analysis Data Construction Innovation 94

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 74

Investment Data Analysis Data Enterprise 74

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 104

Software Data Analysis Data 104

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

Tomasz 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 100

Cloud Benchmarks Data Data Analysis 100

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Organizational data literacy is often addressed, but it’s uncommon to consider users’ data literacy levels when building products. Product managers need to recognize their end users' data literacy when building an application with analytic features.

Data

Nimble - Sales

AUGUST 28, 2020

Data Analysis 58

Data Analysis Sales Software Data 58

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 187

Revenue Travel Company Culture Innovation 187

Tomasz 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 80

Data Pricing Data Analysis Revenue 80

Tomasz 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 63

Data Cloud Machine Learning Data Analysis 63

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

Tomasz 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 89

Data Machine Learning Data Analysis Cloud 89

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 189

Data Cloud Data Analysis Leadership 189

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 114

Data Data Analysis Forecasting Cloud 114

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).

Headcount 274

Headcount Engineering SMB Data Analysis 274

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 83

Churn Retention Acquisition Data Analysis 83

Tomasz 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 68

Engineering Data Data Analysis Innovation 68

Agile Payments

DECEMBER 17, 2019

Automating payments meant that the Insurance company had to have a PCI compliant solution that did not expose sensitive card data. Data analysis and tracking allowed the Insurance company to measure automation rates and to monitor how customers used the IVR payment application.

Data Analysis 52

Data Analysis Data Payment Solutions Payment Services 52

Tomasz 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 72

Benchmarks Startup Data Analysis Finance 72

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 52

Data Analysis Customer Success Retention Trends 52

Inside Intercom

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 56

Data Analysis Engagement Metrics Data 56

Valuize Consulting

JUNE 9, 2022

Is collecting, analyzing and acting on critical customer data a challenge in your organization? They Derive Insights For Data-Backed Decision Making. At the heart of a powerful CS Operations function is actionable customer data. Are You Missing The Mark On CS Operations?

Consulting 52

Consulting Customer Success Leadership Data Analysis 52

Totango

SEPTEMBER 1, 2022

The traditional fixed quarterly review is being replaced by real-time performance monitoring and artificial intelligence data analysis, enabling you to stay engaged with clients between scheduled reviews. Why Your QBR SaaS Model Needs an AI Makeover.

AI 85

AI Technology Data Subscription 85

Totango

MAY 24, 2022

A customer relationship management app is software used to store data about prospect and client interactions in a single database to support sales, marketing, and other business functions. Easy retrieval of data from any device.

Customer Success 80

Customer Success Forecasting Sales Retention 80

Tomasz 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 40

Data Analysis Engineering Innovation Data 40

Neil Patel

JANUARY 20, 2021

With classes in data analysis, project management, UX design, IT support, and IT automation, Google Certificates are there to help you make the right first step in your career. Data Analyst Google Certificate. Modern businesses collect mountains of data.

Data Analysis 90

Data Analysis Interviewing Banking Data 90

OPEXEngine

FEBRUARY 13, 2020

Metrics and analysis of customer and the product lifecycles is fundamental to growth decision-making in a SaaS company. This structure integrates systems and data, ideally resulting in tight management of the quote to cash process.

Finance 63

Finance Management Government Data Analysis 63

GetUplift

JANUARY 24, 2022

He was able to use the data to improve multiple areas of the business. Opening the doors of communication with customers allowed them to freely share their opinions and provided data that was used to create high-converting copy and a new website design. Conversion-design analysis.

Interviewing 91

Interviewing Sales Funnel Social Media Data Analysis 91

InsightSquared

MARCH 14, 2018

“Closed Reason” is one of the most valuable, yet underutilized, pieces of data that a sales organization can collect about its opportunities. To help you take advantage of this trove of intelligence, we’ve compiled some interesting results based on how our customers employ Closed Reason data. While most organizations focus on reasons why opportunities are lost, there’s no fundamental reason why you can’t also track this data for won deals.

Sales 84

Sales Data Analysis Pricing Communication 84

Tomasz 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.

Healthcare 40

Healthcare Data Analysis Data Innovation 40

Sales Hacker

AUGUST 29, 2022

But how do you leverage data to help you execute it? Leveraging data to maximize growth is what we get into in this episode of Revenue Innovators with Neil Hoyne. His passion is to help companies grow by using their data. The 3 types of data roles every company needs.

Sales 77

Sales Data Data Analysis Innovation 77

Valuize Consulting

JULY 6, 2022

The Missing Piece Of The Data Puzzle: People. While 92% of leading companies are increasing their investments in data and analytics ( New Vantage , 2019), they are faced with the daunting reality that 85% of data projects fail to move past the preliminary stages ( Gartner , 2016).

Consulting 52

Consulting Data Churn Benchmarks 52

Valuize Consulting

JUNE 29, 2022

A Human-First Approach To Data. quintillion bytes of data are created every single day – that’s 2.5 The Fundamentals Of Human-Centered Data Design. While this concept isn’t new, its application in data science is often overlooked.

Consulting 52

Consulting Data Innovation Data Analysis 52

SaaSX

FEBRUARY 11, 2020

In 2020, your data has never been safer or easier to use, emerging trends have never been more exciting, and we’ve never been more connected to the people around us. 90% of mobile data traffic will be generated by cloud solutions/SaaS by 2019.

Trends 97

Trends AI Mobile PayPal 97

Totango

JULY 30, 2021

You’ll have the right ingredients (data) but you won’t have the recipe (data application) to help you succeed. While BI tools are great for collecting data, a purpose-built CS software helps you put that data into action.

Customer Success 70

Customer Success Software Data Data Analysis 70