If you follow me at Twitter(@marcosluis2186), you should read all my tweets focused on Mobile Advertising, which is becoming in a niche market today in every region of the world. EMEA, APAC, LATAM; every region of the world have seen how many new startups or well established companies are embracing “Mobile revolution”, so, for advertisers and Marketing professionals, there are a lot of opportunities out there.
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
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.
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.
Yesterday, I was talking with David Smith (@revodavid), VP of Marketing and R evangelist at Revolution Analytics about why I would do thinking like an Inbound Marketing Manager for the company. I love R, and this team have done an outstanding job bringing this amazing platform directly to the Enterprise world. They have a lot of customers, from small to big companies, so, they are very profitable, but I think that they should build a stronger web presence around the web, and a Product Marketing Manager could help them to do that. How? Keep reading.
I have to say it my friend: I´m an avid gamer. Big players like EA´s Activision with its Call of Duty Black Ops II, Ubisoft with its amazing Assassin Creed franchise, Blizzard with Diablo III, Konami with Metal Gear Rising, Microsoft with Halo 4, Bioware with its incredible Mass Effect 3, and many more good amazing names are gathering a lot of attention for gamers, but there are another kind of games that are capturing gamers minds: Social and Mobile games.
Today, there are some teams which are disrupting gaming industry for its novel way to create engaging and cool games. And How do you think that companies like Wooga, Rovio, Supercell are winning this hard game? Using Game analytics. Yes, my friend, using cool things like A/B feature testing, customers analysis, MAU performance, DAU predictive analytics, and many more techniques. Continue reading “Data-Driven Games Development Rockstars”
Some months ago, I wrote a post dedicated to new Data Scientists, giving my personal recommendation about several books that are pure gold, and great tools like Python, R, and Apache Hadoop. Right now, today is a new day for this kind of professional; yes, because, the Harvard Business Review (HBR) published a great article talking about the Data Scientist, written by Thomas H. Davenport and D.J. Patil; and I think that both did an incredible job in this writing, believe me, you should read it, you will not regreat. So, I want to dedicate these lines to the raising quantity of jobs with a shining title: “Data Scientist”. If you look today in any Job Board like Linkedin, AOL Careers , Indeed, SimplyHired, Technology Ladders or Dice, and you do a little search about this title, you will find more than 250 new open positions everyday, doing only the search in U.S. If you expand the search to more countries like UK, Germany, Ireland, India, China, Netherlands, the numbers grow like a completed madness. Continue reading “Data Scientists: the world need us”
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”
We are in the era of Real-Time Analytics
Data can come to us in some many forms that we sometimes, feel fear about this constant growing. But, more important is what we can do with this data. It doesn’t matter if we have a vast quantity of data if we don’t know how to become this on revenue for the company, and here is when Analytics plays a key role on this. But, not just Analytics, but: Real-Time Analytics.
There are two Ks working for one KEY objective: to wide to the world of Data Science landscape, and in the journey, to prepare new professionals in this field and to provide to well established pros a place to solve challenging, funny and hard data science problems. That’s for me the objective of Kaggle and KDnuggets. But first, I want to talk about Kaggle. Continue reading “Kaggle + KDnuggets: The perfect couple for Data Scientists”