Unsung Hero Spotlight: Steven Rodriguez

Ecosystem Builder Hub

Someone who works at the intersection of economic/community/ecosystem development, is data-driven, collaborates and connects diverse stakeholders, focuses on being the right kind of busy and has a give #GiveFirst attitude. Data analysis and science in ecosystem work.

How to Build Authentic Customer Relationships That Spark Innovation

Entrepreneurs' Organization

Along with establishing formal ways to capture customer feedback through surveys and data analysis, look for opportunities to engage in conversations. Put it into context by combining it with all of the customer insights and market data you’re capturing.

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Data Lake Engines - The Essential Layer of the Next Generation Data Architecture

Tomasz Tunguz

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.

EnsoData Raises $9M Series A Financing to Empower Clinicians with Waveform AI

Dream It

EnsoData (Healthtech - Spring 2019) has a platform that transforms billions of waveform data points collected from sensors in medical devices and wearables into an easy-to-read report, so clinicians can make faster, more accurate diagnoses.

The Power of Open Source to Solve the Data Fragmentation Challenge

Tomasz Tunguz

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.

Understanding Gender Bias In Venture Funding

A VC: Musings of a VC in NYC

After 4 rounds of VC, I ran my own data analysis to see if my experience is unique. USV portfolio company goTenna ‘s founder and CEO Daniela Perdomo and USV analyst Dani Grant did some number crunching on VC funding and published the info last week. Women founders in female-focused sectors raise equitable VC, but women in non-female sectors raise 54% less than their fair share. In deep-tech, women raise up to 75% less! link]. Daniela Perdomo (@danielaperdomo) June 18, 2019.

[TechSee in PR Newswire] TechSee Releases Results of Study on Visual Assistance’s Impact on Customer Service KPIs


TechSee, a global leader in Visual Customer Assistance powered by AI and augmented reality, today released the results of an extensive data analysis it conducted to explore the impact of its technology on contact center and customer service KPIs.

Winning with Data

Tomasz Tunguz

There’s a new class of company that wield data to create long-term competitive advantage. TheRealReal uses this morning’s sales data to inform this afternoon’s marketing campaigns. I first saw the impact of this type of data informed decision-making at Google.

The Future of Human Data Interaction

Tomasz Tunguz

On the day of Tableau’s IPO, a company known for innovating in data visualization, I thought I would share the most impressive HCI concept I’ve seen in a long time.

73.6% of all Statistics are Made Up

Both Sides of the Table

One of our core tasks was “market analysis,&# which consistent of: market sizing, market forecasts, competitive analysis and then instructing customers on which direction to take. I was leading the analysis with a team of 14 people: 12 Japanese, 1 German and 1 Turk.

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My Pal Dave: A Triumph of Substance Over Style

Both Sides of the Table

He had a philosophy that the future competition for startups would be design led and based on data analysis. My pal Dave has blogger Tourette’s. He has it on stage, too, at conferences. He can’t help himself: He’s Dave. My pal Dave has problems. Not the ones you’d imagine. His biggest problems are with language, colors, fonts and spacing. Not much more. I think he could say “no” a bit more.

Series A SaaS Startup Benchmarks for 2018

Tomasz Tunguz

But the average MRR has increased substantially from the last time I analyzed the data. The usual caveats to this data analysis apply. How far along was the typical SaaS Series A in 2018? The median business was at $1.8M in ARR and growing at 250%.

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The Technology that's Taking Data Science by Storm

Tomasz Tunguz

Amazon’s Redshift, an elastic data-warehousing solution launched in late 2012 is the most salient example. Redshift’s ability to process huge volumes of data is breathtaking. When running Redshift on solid state drives (SSDs), one team at FlyData queried 1 terabyte of data in less than 10 seconds. AirBnB’s data science team wrote about their experiences contrasting Redshift and Hive.

The Future of Advertising will be Integrated

Both Sides of the Table

some data sources have this estimate much higher.) We already have the data that proves it. On products where I’ve seen data the “ad free&# versions have converted at 4-6% of the user base at maximum. Startup Advice Tech Market Analysis

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Startup Trends from YCombinator's Demo Day

Tomasz Tunguz

This increase in activity seems to be driven by advances in data analysis for drug discovery and novel sensors. If this data is any indication, we should see more commerce and consumer finance companies; and more vertical software businesses in the next few years I’ve been to many YC Demo Days and I always look forward to them. This year was no exception. There are so many wonderful ideas and companies founded by terrific entrepreneurs.

Do VC Platforms Make Sense?

Both Sides of the Table

We felt we wanted “management heavy” where we’d try to put more effort into tracking systems, data analysis, event management, content creation and the like.

Optimize for authentic relationships, not bluster

This is going to be BIG.

Hilary has had both a major impact on my personally--by helping to push the envelope on the kind of data analysis work we were doing at Path 101. When we hired her, we leveled up in terms of our technology and Big Data chops. I was just some clueless kid when I asked Kara to come speak at my school and was even more clueless about data structures when I got Hilary to come work for me. Tweet.

Against All Odds in Startupland

Tomasz Tunguz

Win probability charts like the one above have become the icons of popular predictive data analysis. I love data, but let me whisper a heresy to you. The problem with predictive analysis like this is they never capture all the variables. Predicting the future is damn hard, and no matter how much data we jam onto disk, or how sophisticated our adversarial neural networks become, we still won’t be able predict the future accurately.

Your Startup's Competitive Advantage

Tomasz Tunguz

A better chat experience ; a data modeling layer for data analysis, near-instant transcription of expenses. Startups fail when they run out of money. Startups run out of money when they lack focus. Without a maniacal focus on serving customer needs in a unique way, startups can flounder amidst competition. Without product market fit, the business is challenged to generate strong metrics and faces fundraising challenges.

The 12 Things I Know About You

Tomasz Tunguz

But as I’ve learned writing this blog, experimentation and data analysis will lead authors to share those insights in the most generalizable way possible. I know 12 things about you. You have a great need for other people to like and admire you. You have a tendency to be critical of yourself. You have a great deal of unused capacity which you have not turned to your advantage. While you have some personality weaknesses, you are generally able to compensate for them.

Benchmarking Tableau's S-1 - How 7 Key SaaS Metrics Stack Up

Tomasz Tunguz

Today, we’ll examine Tableau, the market leader for data visualization software. The company went public in 2013 and we’ll use data from their S-1 through 2013 to benchmark the business. Tableau sells their desktop client to one or two data analysts within a company. Sometimes, teams buy a Tableau server license to collaborate internally on data analysis. And they have been investing at this rate for as long as we have data to measure it.

What to Look for When Hiring a Head of Marketing for Your Startup

Tomasz Tunguz

These teams are by nature technical, often performing significant data analysis to maximize return-on-investment of their marketing spend. This data informs the product and engineering roadmap. When a startup is confronted with the prospect of hiring a head of marketing, founders heads often spin. What should be the day-to-day tasks for this person? What skill sets are important?

On historical returns and venture capital flavours

Fred Destin

The reality is: no amount of historical market data analysis is going to tell you which fund to invest in next , especially given the speed of market disruption.

What to look for when hiring a data scientist

Tomasz Tunguz

But a more important driver has been the need to better understand how to qualify, evaluate and hire data scientists because data science is a massive competitive advantage. And many of the companies I work with are hiring data scientists. Data processing. Data analysis.

Startup Best Practices 21 - Your Startup's Recruiting Scorecard

Tomasz Tunguz

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.

How to Combat Inaccurate Data and Faulty Statistics When Making Decisions

Tomasz Tunguz

The conclusions were results of bad experimental design, biases in the data , and statistical tools used incorrectly. One of the major problems with data analysis are the imperfect methods we use. But p-values doesn’t answer the question to the answer most people care about: what are the odds the hypothesis about the data is correct? In addition to dissolving faith in the research process, bad data encourages wrong decision-making.

Cohort Analysis for Startups: Six Summary Reports to Understand Your Customer Base (With Code)

Tomasz Tunguz

Cohort analysis provides deep insight into customer bases because cohorts expose how customer accounts grow, evolve and churn. Plus, cohort analysis provides a framework to evaluate product releases, marketing pushes and advertising campaign performance.

Why Personas Are Critical Product Development and Go To Market Tools for Startups

Tomasz Tunguz

When the data analytics team took the stage, I listened with great interest as the chief of the group described their internal struggles with data and the areas where startups might help them achieve their goals. I’ve summarized these personas below: The Three People That Matter in Data. Analyst Reveal trends in data Create and propagate data silos Visualization tools, Spreadsheets, BI. For example, I’d never heard the term data steward before.

An Exceptional Story with Exceptional Data

Tomasz Tunguz

Even if you’re not a soccer/football fan, the article is worth reading because it’s one of the finest examples of synthesizing data and a story to convey a point I’ve read in a very long time. Data is one of the most powerful ingredients to supporting a point of view. It’s one of the reasons I publish data analysis on this blog. But data alone isn’t enough - not nearly enough - to be compelling.

The Optimal Price to Maximize Sales Efficiency for a SaaS Startup

Tomasz Tunguz

To eliminate bias, I whittled the dataset to a subset of the companies who had data in all three periods. In fact, within any of the three periods, and across the four different ACV categories, the data today shows that there is no optimal ACV that would enable maximum sales efficiency. There is another important conclusions from the data: sales efficiency is monotonically decreasing. But, I don’t have the data to prove that hypothesis.

What a Dog and a Monkey Taught Me About Management at Google

Tomasz Tunguz

It might have been a mishandled customer case, a forgotten internal data analysis or causing a car accident on the way to work. At all hands meetings on Tuesday afternoons, our 75 person AdSense Ops team reviewed the most important metrics for the business: top-two box customer satisfaction scores, revenue growth and customer churn. But unlike every other all hands meeting I attended, these meetings ended with a monkey and a dog.