Georgia Tech – OMSA – Online Masters in Analytics

Received some good news a couple weeks ago, I was accepted to Georgia Tech’s Online Masters in Analytics (OMSA).

The program is multidisciplinary, combining concepts from statistics, computer science, and business. Ultimately strengthening my skills in data science and machine learning concepts.

It’s been a while since I was in school so I’ve been studying up on the prerequisites before the program starts on August 15th. The first course I’m taking is Gtech’s EDX course on Computing in Python: Fundamentals and Procedural Programing.

The course has been good to brush up on the basics but I’m looking for a way to apply these concepts to some real life data. I came across this API that lets you download data from Genius through Python – looking forward to analyzing this data at some point using Python!

Startups in Spain

I’m back in NYC after spending two weeks in Madrid working Spanish startups through the Google For Startups Advisors program.

Startups Madrid
Startup Residents and Googlers

The Spanish economy was hit hard by the financial crisis. Unemployment was particularly high reaching 26% in 2013. These entrepreneurs are helping stimulate the economy and create jobs. Though the Spanish startup community is less mature it’s growing rapidly. 2018 saw 1.3B Euros in startup investment.

The Google For Startups program exists to support early stage startups and help them scale by providing a free place to work and access to advisors and mentors. Similar campuses exist in Sao Paulo, Warsaw, Seoul, and London.

I went to lend my analytics expertise to these companies, particularly in terms of data management and marketing analytics. I gave a series of talks on Google Analytics and also did 1:1 advising with the Startup Residency Companies. 

Giving An Analytics Talk
Giving An Analytics Talk

It was a very rewarding experience and I’m grateful to have had the ability to work with the amazing entrepreneurs starting these companies in Spain.

Our advisor cohort had a diverse range of experience to meet the needs of the residency startups we worked with. We had folks across people operations, product development, engineering, X, finance and operations.

It was a great experience to work with all these great companies and all these great Googlers. Looking forward to keeping in touch and being more involved in the startup community not only in Spain, but also in the US, particularly NYC!

Innovation Accounting

To improve entrepreneurial outcomes and hold innovators accountable, we need to focus on the boring stuff: how to measure progress, how to setup milestones, and how to prioritize work. This requires a new kind of accounting designed for startups — and the people who hold them accountable.

The Lean Startup

Startup Analytics

I’m going to be working with startups for two weeks advising them on how to use analytics to help fuel growth for their organization.

Taking notes here from materials I’m reading that I’ll eventually package up with my own thoughts and execution techniques through Google Analytics.

Metrics, you want to measure Outputs not Inputs. Draft a dashboard to tie this all together. You want to look for the anomalies, you don’t want to look for expected behavior.

At PayPal – none of the metrics said eBay. This was spotted through powersellers on ebay asking for PayPal – building a product for them to make it easy.

At LinkedIn – 30% of clicks from homepage went to a person’s own homepage. Made no sense. Max Lechin said it was vanity. People are looking at themselves in the mirror. Makes them feel good. You can test that, more content / more endorsement, you look at yourself more. It clarified what users of the product really wanted.

Keith Rabois – How to Operate – How to Start a Startup

From: Lean Analytics

Don’t sell what you can make; make what you can sell.

Data driven learning is the cornerstone of success in startups. It’s how you learn what’s working and iterate toward the right product and market before the money runs out.

Sometimes growth comes from what you don’t expect. If you’ve found an insight, decide how to test it quickly w/ minimal investment. Define what success looks like before hand and know what you’ll do if your hunch is right.

Analytics is about tracking metrics that are critical to your business.

You don’t always know what metrics are key b/c you don’t always know what business you’re in.