Thursday, October 29

20) Tackling Top Telco Fraud's with Big Data and Complex Event Processing - Part- II

I am going to share a sample architecture that will help implement solutions to prevent fraud. The architecture combines Big Data technologies with Complex Event Processing (CEP) to provide a Smarter, Proactive system along with a Dashboard that will 'show relevant fraud events or potential fraud events' which will help prevent fraud.
The high level diagram of the Big Data-Complex Event Processing solution is self explanatory and the key points to be noted are :
1) Technologies  & products implemented in sample solution
2) Real Time Architecture to handle large amount of data
2) The way data in ingested, filtered & crunched
3) The way events are 'acted on' on-the-fly
4) The operations dashboard that will provide alerts and notifications so manual checking will be reduced
5) How analytics is going to be plugged into this architecture

Please feel free to mail me if you have questions.

3 comments:

  1. Anonymous1:12:00 am

    Thank you.Very informative blog.Can you tell me if Big Data is only for big companies like phone companies? Is big data useful for small business of less than 100 employee?

    ReplyDelete
    Replies
    1. Big data means massive data which is getting created at very fast speed and
      by variety of sources. Typically this data can be created by 1) connected devices or sensors 2) Socialmedia 3) IoT etc. Even small companies of 25 or 50 people may be doing work that is generating big data as described earlier. An expert can look at the data and advice the ompany if the data is of value to them and how they can use the data. Please note every data has some Noise or Junk data and it needs to processed before it can be used for information.

      Delete
  2. Superfastprocessing offers the perfect platform for high-performance processing that is reliable and accurate at the same time. It is ideally suited for Big Data analytics requirements in the telecom and financial industry.

    ReplyDelete

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