Data Science Insights
Six types of data people you need to hire
You’ve decided to make better use of your data, but what are the roles you need to hire? It’s not just the ‘data scientists’. If you want to make more data-driven business decisions and use analysis and machine learning to change how you operate, you’ll need to hire six types of data people.
Keep Reading: Six types of data people you need to hire
150 Data Scientists and still no business value?
The Harvard Business Review just published an article entitled Why You’re Not Getting Value from Your Data Science. The article describes how data scientists are overwhelmed by the complexity and quantity of data …
Keep Reading: 150 Data Scientists and still no business value?
Big Data Storage and Graph-Based Analytics for Cancer Research
Big data technologies are playing an increasing role in cancer research. Two ways that I’ll touch on are the storage of an exponentially growing quantity of sequenced genomic data and analysis of pathway disruption by large-scale graph algorithms. There is an amazing diversity in cancer cells…
Keep Reading: Big Data Storage and Analytics for Cancer Research
Open Source: A primer for Big Data
It is nearly impossible to talk about Big Data without making frequent reference to a broad ecosystem of computer code that has been made available for use and modification by the general public at no charge …
Office Politics: A survivor’s guide for data scientists
Everyone gets sunk by office politics at some point in their career, but data scientists are in some ways especially ill-prepared to navigate the unspoken rules and hidden agendas that together form a critical part of the corporate world …
Keep Reading: Office Politics: A survivor’s guide for data scientists
Footstep tracking in stores: New technologies bring new opportunities and dangers
Courtesy of the phone in your pocket, the store may be recording exactly where you are walking as you browse the aisles. Creepy? …. or intriguing? Could be a win-win for both you and the store, if done right …
Recruiting a Chief Data Scientist
Lately, a number of companies have asked me to help them scope and recruit for the role of chief data scientist (a.k.a. ‘Head of Data Science’, ‘Lead Data Scientist’, ‘Head of Analytics’, etc.). Over the past 20 years, I’ve probably conducted several hundred interviews for analytic roles…
Keep Reading: Recruiting a Chief Data Scientist
Optimizing Prices for Airbnb Listings: An Interview with Ian McHenry of Beyond Pricing
For the hundreds of thousands of individuals who rent out their rooms, apartments, and houses on Airbnb, it is extremely difficult to set rates that maximize revenue. In this interview with Ian McHenry, we discuss pricing techniques that his company has developed to deal with these challenges…
Keep Reading: Interview with Ian McHenry of Beyond Pricing
Recapturing personalization in the age of e-commerce
Back when ‘retail’ meant 100 meters of shelving and one check-out counter, face-to-face retailers grew to understand their customers’ intentions, preferences, and idiosyncrasies, even when customers walked out without making a purchase …
Bridging Data Science and Business Intuition
Target corporation’s massively profitable data science project threw them into the news spotlight a few years back. Their story makes for a valuable case study in the interplay between business intuition and data science …
Keep Reading: Bridging Data Science and Business Intuition
Useful Big Data: The Fastest Way
These days, even small to mid-sized companies can start getting valuable insights from Big Data within just a few weeks or even a few days. The type of Big Data I’ll talk about here will be the online, customer-journey data generated by visits to websites. It’s relevant to anyone with a significant online presence. This online customer journey represents a gold-mine of customer insights….
Keep Reading: Useful Big Data: The Fastest Way
Netflix should have known better. In 2006 it was young and innovative and sat atop a treasure chest of film rental and review history from its roughly 6 million users. These rental histories were most certainly private under US law.
Netflix had been growing quickly since its inception in 1998 and it had a fresh approach to an established industry. It had a strategic competitive advantage in the form of reams of digital data at its fingertips and a hunger to bring to bear the best data science techniques available…
Keep Reading: Data Science and Privacy: Netflix Plays with Fire
Data Science and Privacy Regulations: A Storm on the Horizon
The European Union is a few short months away from finalizing a sweeping regulation that will dramatically change the way in which data can be handled and in which data science can be utilized. This new regulation will affect all corporations using data from EU citizens, not just those with offices in the EU. Those collecting data from more than 5k EU citizens per year will be consider accountable, regardless of company location. The EU parliament is so serious about compliance with these new privacy and data protection laws that it has proposed a fine for violations….