Big Data Use Cases

Big Data Use Cases. Erman Akdogan

Big Data Use Cases.

You can download the original mindmap file at or libraries.

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications. It has been the buzzword of the last couple years, and many businesses today want to “Get Started with Big Data”. 

When I start discussing with clients what they want to do with big data, more often than not I get puzzled looks. It is important to have the preparedness to “get started with big data” by having:

  • Pinpointed a line of business in the company to get started with the use cases
  • Identified use cases that serves a true business needs within that line of business
  • Verified that there’s indeed large amounts of meaningful data available to support the use cases

This is a compilation of sample big data use cases in the form of a mindmap. The original mindmap could be downloaded from Xmind or biggerplate mindmap libraries.

Erman Akdogan


Smarter Planet Solutions Adoption Analysis by Industry

 Smarter Planet Solutions Adoption Analysis by Industr

Smarter Planet Solutions Adoption Analysis by Industry

You can download the original mindmap file at or

Smarter Planet is a corporate initiative of the information technology company IBM. The initiative seeks to highlight how forward-thinking leaders in business, government and civil society around the world are capturing the potential of smarter systems to achieve economic growth, near-term efficiency, sustainable development and societal progress.

Examples of smarter systems include smart grids, water management systems, solutions to traffic congestion problems,greener buildings, and many others. These systems have historically been difficult to manage because of their size and complexity. But with new ways of monitoring, connecting, and analyzing the systems, business, civic and nongovernmental leaders are developing new ways to manage these systems. IBM’s strategy is to provide or enable many of these technology and process management capabilities and, outside of the realm of technology, to advocate for policy decisions that, according to the views expressed by IBM’s management in interviews, speeches, op-ed articles and opinion advertising, and other public venues, could “make the planet smarter.”

Which industries will adopt the smarter systems and which ones will lag behind? What are the possible scenarios of development and strategies? For example it could be argued that the inherent principal-agent problem in public sector could significantly hinder the adoption of smarter systems. Even though there’s much to be gained from smarter systems in city management, healthcare, public safety, traffic, etc. the politicians could ignore the benefits as they would only realize costs but not see the benefits in their terms.

This is an analysis for adoption of smarter systems by industry in the form of a mindmap. The original mindmap could be downloaded from xmind or biggerplate mindmap libraries.

Erman Akdogan