That’s a critical question. Every operator is searching for new ways to increase revenues and profits during a time of stagnant growth in the industry, but few have demonstrated the capabilities needed to make the most of this new technology.

That’s why operators seeking to make initial inroads with big data are advised to avoid the usual top-down approach, which sets up a business problem to be solved and then seeks out the data that might solve it. This method does have benefits, but it is unlikely to lead to any serendipitous and surprising results — and it is difficult to execute until a company has demonstrated mastery in its use of data.

Instead, operators should begin with the data itself, experimenting with what they have on hand to see what kinds of connections and correlations it reveals. This process must be carried out quickly and iteratively, without the overbearing oversight from which so many business development projects suffer. If it’s done right, what emerges can form the basis for more efficient operations and more effective marketing. At its best, this bottom-up method can give operators a more complete, transparent view of customers, enabling new and more profitable ways of capturing and retaining them.

Opportunity of Big Data Analytics

The methods and technologies for collecting, managing, and analyzing in real time the vast increase in both structured and unstructured data — because too many efforts to implement the technology have not lived up to the high expectations triggered by the hype. This is particularly true in the telecom sector. Most operators conduct analytics programs that enable them to use their internal data to boost the efficiency of their networks, segment customers, and drive profitability with some success. But the potential of big data poses a different challenge: how to combine much larger amounts of information to increase revenues and profits across the entire telecom value chain, from network operations to product development to marketing, sales, and customer service — and even to monetize the data itself.

The typical advice offered to telecom operators by IT companies — indeed, to companies in every industry — is to take a top-down approach by focusing on specific business problems that big data might solve, and then gathering the data needed to solve them. But the challenge in this strategy is twofold: First, the business problem often exceeds the capacity of the available data to solve it, and second, the process of gathering the right data to help solve the problem is poorly understood by many companies.

We believe the best way to get started with our approach is through pilot programs. Keeping initial expectations reasonable, a dedicated team gathers all available data, analyzes it to allow new and unexpected opportunities to reveal themselves, and then tests the efficacy of the results in solving one or more real business problems. This tactic offers telecom operators and others a concrete Strategy & starting point, a more realistic assessment of the benefits of big data and a better understanding of what is actually needed to achieve those benefits in the long term.

Our two approaches model to big data:

Big data offers benefits across the entire telecom value chain:

Big data promises to promote growth and increase efficiency and profitability across the entire telecom value chain. In below figure, shows the benefits of big data over the opportunities available through traditional data warehousing technologies. They include:

  • Optimizing routing and quality of service by analyzing network traffic in real time
  • Analyzing call data records in real time to identify fraudulent behavior immediately
  • Allowing call center reps to flexibly and profitably modify subscriber calling plans immediately
  • Tailoring marketing campaigns to individual customers using location-based and social networking technologies
  • Using insights into customer behavior and usage to develop new products and services
  • Big data can even open up new sources of revenue, such as selling insights about customers to third parties.
  • Understand how to leverage and exploit internal Big Data to generate new revenue streams
  • Hear results based case studies from operators and cross-industry experts demonstrating how to develop profitable Big Data business models
  • Evaluate the potential of external Big Data for driving your business forward
  • Hear exclusive case studies detailing how to exploit your data whilst ensuring customer privacy and security
  • Scrutinize the expanding M2M ecosystem and determine how to turn your M2M Big Data into actionable business strategies 


 Our Approach of big data analytics for telecom:

Successfully harnessing big data can help service providers achieve three critical objectives for telecommunications transformation: Deliver smarter services that generate new sources of revenue; Transform operations to achieve business and service excellence; and Build smarter networks to drive consistent, high-quality customer experience.


Providing single source Hadoop approach for integration of all your Big Data and build all the analytics top of that.

  1. First to load all the data from all different sources to Staging Area of Hadoop clusters.
  2. It is very much needed to understand the data through our unique modeling and clustering techniques.
  3. Next step is to generate the metadata for all individual data sources.
  4. Create the common data model based on metadata knowledge for your business.
  5. Fine tune the data if it is make any analytic or not.
  6. Load the fine tune transform data to production area of Hadoop clusters.
  7. Integrates the Data from different sources
  8. Visualized the integrated data analytics reports.








Single source Hadoop based Big Data Analytic

Our Finding:

Big data offers telecom operators a real opportunity to gain a much more complete picture of their operations and their customers, and to further their innovation efforts. The industry as a whole spends far less on R&D than any other technology-oriented industry as a percentage of sales, and its efforts to change its ways have not yet proven broadly successful. Big data demands of every industry a very different and unconventional approach to business development. The operators that can incorporate new agile strategies into their organizational DNA will gain a real competitive advantage over their slower rivals.