Thinking like a Data-Driven Guy for Dropbox

dropbox

When I used Dropbox for the first time from my Linux box, it was a shining moment for me. In that time, I was looking precisely for a solution for my files that I used to let behind always in my USB memory. For every Linux user, which many of them loves Open Source software; collaboration is an important issue, and Dropbox came to save my work a lot of times, because the platform itself, is a synonym of collaboration, and this is one of the reason why I love the platform.

The other reason why I love the platform, that they use my favorite programming language for the core development of the proprietary synchronization daemon: Python, and 2012, Guido, the creator of the language was included in Dropbox’s payroll: Just awesome !!!

So, I want to do my little contribution to the platform, writing some ideas how to improve it and the business itself. I will divide this in some key points:

  • Improve blogging frequency in Tech’s blog about Data Science at Dropbox
  • Improve user engagement in Mobile devices using Localytics services
  • Hire to Greg Nudelman like consultant to improve Dropbox for Android, and work with Mailbox’s team for Android-based version
  • Build a high class Data Science team to get more useful and better insights from Dropbox massive data sets
  • Improve Marketing efforts using Inbound Marketing techniques focused on Facebook, Google Plus, LinkedIn, Twitter, Blogging, ebooks, etc

Continue reading “Thinking like a Data-Driven Guy for Dropbox”

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The Upcoming Big Wave: Mobile Analytics

Mobile Analytics

The Mobile Marketing Economic Impact study, directed by Peter A. Johnson, PhD and Joseph Plummer, PhD, both Adjunct Professors from the Columbia University in New York showed up in my inbox; in a combined news from Business Insider´s BII MOBILE INSIGHTS, where from WIRED, came the first interview to Sundar Pichai like the new Android’s boss at Google.

This made me to think to write a post about why I think that Mobile Analytics is the next Big Wave for business.

Continue reading “The Upcoming Big Wave: Mobile Analytics”

Choosing a MPP database is incredibly hard

Like the title says, to choose an enterprise-level Massive Parallel Processing (MPP) database is actually a big headache for every Data Science Manager; basically because there are very good choices around the tech world.

Continue reading “Choosing a MPP database is incredibly hard”

Fighting Cybercrime with Splunk Security Analytics

Splunk

There are many industries which are in total explosion: Real State, Marketing Analytics, Retail, Recruiting Services, Big Data Analytics; but these are the good guys. There are other guys which are using its deep knowledge about Security, Hacking, Cracking, Phishing to take advantage of the popularity of these industries to cut a big slide of the pie and make money from that. A new kind of business have born: Crime as a Service (CaaS).

Continue reading “Fighting Cybercrime with Splunk Security Analytics”

Reshaping the Ads Game with Data Science

New players in the Ads business are using Data Science to create smarter and better solutions every day

Big Data in Ads industry

Data Science is becoming more and more important everyday, almost in every business in the planet. It doesn’t matter if the industry is biotech, green technologies, finance, wealth management, security analysis, retail,
e-commerce; we are in the era of information, so; data is everywhere, and to keep running a business, is more frequent now to analyze statistics, trends, to build graphics to show clever results, to construct models based on data mining techniques like logistic regression and predictive analytics, and big data tools like Hadoop, Storm, R, and many others, are playing a key role on this issue.

But I don’t want to talk about a lot of industries; I will focus on one industry that I love to research and to study: “Digital Advertising” Continue reading “Reshaping the Ads Game with Data Science”

Kaggle + KDnuggets: The perfect couple for Data Scientists

Kaggle + KDnuggets

Analytics-based Products: From Hard Science to Massive Revenue

Product analytics

Data-Driven Products are the Future in Business

Data is everywhere; in every thing that we do today; there is a piece of data which is been collected to improve our life or make it worst ( See the The Association of Certified Fraud Examiners, “2012 Report to the Nations”). Many organizations have begun to use its rich data silos to create more value for us. The WEB is full of great examples.

Continue reading “Analytics-based Products: From Hard Science to Massive Revenue”

2013: A great time to be a Data-Driven person

Data Science

Searching the web, I found in KDnuggets, the great Data Mining portal, that 2013 is the Year of Statistics. Even, there is a video about the topic on its statistics2013.org site.

More and more companies, are interested on the services that this kind of professionals can provide to them. It doesn’t matter if it’s a startup, a middle-size company or a large corporation; everybody is loooking the “Holy Grail” of Data Science. Continue reading “2013: A great time to be a Data-Driven person”

A very busy week with PostgreSQL and Data Mining

The last week was a very busy week for me, participating in two great events.

First thing: 4th Cuban PgDay

Here, I put some pictutes of the event:

The whole team and Gilberto (main PostgreSQL contact in Cuba) Continue reading “A very busy week with PostgreSQL and Data Mining”