DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Over 2 million developers have joined DZone.
Log In / Join
Refcards Trend Reports Events Over 2 million developers have joined DZone. Join Today! Thanks for visiting DZone today,
Edit Profile Manage Email Subscriptions Moderation Admin Console How to Post to DZone Article Submission Guidelines
View Profile
Sign Out
Refcards
Trend Reports
Events
Zones
Culture and Methodologies Agile Career Development Methodologies Team Management
Data Engineering AI/ML Big Data Data Databases IoT
Software Design and Architecture Cloud Architecture Containers Integration Microservices Performance Security
Coding Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
Culture and Methodologies
Agile Career Development Methodologies Team Management
Data Engineering
AI/ML Big Data Data Databases IoT
Software Design and Architecture
Cloud Architecture Containers Integration Microservices Performance Security
Coding
Frameworks Java JavaScript Languages Tools
Testing, Deployment, and Maintenance
Deployment DevOps and CI/CD Maintenance Monitoring and Observability Testing, Tools, and Frameworks
  1. DZone
  2. Data Engineering
  3. Big Data
  4. The Crossroads of Big Data and Mobile: More Personalization for Everyone

The Crossroads of Big Data and Mobile: More Personalization for Everyone

The two biggest buzzword in today’s business landscape are “Big Data” and “Mobile” and for good reason.

Ryan Kh user avatar by
Ryan Kh
·
May. 12, 16 · Opinion
Like (2)
Save
Tweet
Share
3.95K Views

Join the DZone community and get the full member experience.

Join For Free

The two biggest buzzword in today’s business landscape are “Big Data” and “Mobile” and for good reason. Mobile consumption rates continue to exponentially grow around the world creating massive amounts of data for all kinds of businesses. This isn’t just general data either. Mobile applications are able to collect more and more personal data from each mobile user, like travel patterns, consumption behavior, personal preferences, and more. While some of this data was collected from desktop consumption of the web, the shift to mobile consumption has opened the floodgates to more breadth and depth to data available to companies of all shapes and sizes.

Where the Data Is Coming From

Most of us are aware that our apps are collecting data about us but just how far do they go and what does this mean for businesses? App developers use unique ID numbers for each phone to associate to a data set to a person. As an app runs in the background on a phone it is collecting data about patterns and behavior, as well as how they interact with the app itself. These apps can transmit this data to the app owner as well as third partner data companies who may partner with multiple app companies to aggregate big data on customers.

How App Developers Focus on Data

App developers have a number of different monetization strategies once their app is live in the marketplace. The two most straightforward means of generating revenue are users paying to download the app and advertising once there’s a significant user base. Beyond this, app developers can collect and sell user data to data brokers who aggregate and resell that data to companies. Data aggregators may know 50-70 data points on desktop users they know closer to 100 from mobile users. This type of personalized data is increasingly valuable to brands and advertisers alike.

How the Data Is Being Used

App developers can also use the data collected from users to better enhance features and functionality of the app itself. A truly awesome insight to have is the real time data showing how users interact with your product. Their likes, dislikes, any usability problems they face, etc. App developers can use this data flow to make upgrades to their experience so users keep it on the phones and tell their friends. A great example of real-time data being gleaned from mobile apps can be found in live mobile gaming apps. Users can enter these rooms from their phone and interact with other users in real time while developers can take advantage of identifying any snags in their code and understand how users interact with the app for better features and functionality.

While mobile devices continue to proliferate the marketplace across the globe so will the sophistication level of data collection and analysis by companies who seek to offer a more personalized experience to the customers and target markets.

Big data mobile app Personalization

Opinions expressed by DZone contributors are their own.

Popular on DZone

  • Top Five Tools for AI-based Test Automation
  • Secrets Management
  • How To Generate Code Coverage Report Using JaCoCo-Maven Plugin
  • Writing a Modern HTTP(S) Tunnel in Rust

Comments

Partner Resources

X

ABOUT US

  • About DZone
  • Send feedback
  • Careers
  • Sitemap

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 600 Park Offices Drive
  • Suite 300
  • Durham, NC 27709
  • support@dzone.com
  • +1 (919) 678-0300

Let's be friends: