Telecom companies are sitting on a gold mine, as they have
plenty of data. But what they require
is a proper digging and analysis of both structured and unstructured data to get deeper
into customer behaviour, their service usage patterns, preferences, and interests
Bigdata offers telecom operators opportunity to have a more complete picture of their operations and their customers, and to further their innovation efforts. The operators that can incorporate new agile strategies into their organizational DNA fastest will gain a real competitive advantage over their slower rivals.
Bigdata Experts at Sentienz understand the game of scale, telcos easily hit 30 to 100 petabyte storage. Also we respect the existing IT Infrastructure and allow smooth adoption. Our platform enables you to fasten the road to advanced analytics.
Big data promises to promote growth and increase efficiency and
the entire telecom value chain. Big data can even open up new sources of
such as selling insights about customers to third parties.
Many existing business capabilities can be enhanced when more and varied data becomes readily available for analysis, expanding the scope of opportunities and the breadth of optimizations. Big data offers benefits across the entire telecom value chain.
The eventual goal of big data is to combine and correlate every information source to generate a holistic, transparent, end-to-end view of all the interactions every individual customer or household has with the operator. But to really leverage big data, operators must radically modify how they gather, verify, learn from, and make use of the information at their disposal. That means completely rethinking the purpose of the traditional corporate pilot program, long dependent on uncovering incremental opportunities by setting rigid, predetermined goals and hoping to attain them through laborious and time-consuming stage-gate and approval processes. Instead, operators must learn from companies such as Google and Facebook, where data is king and virtually every product decision flows from what the available data says about customers and how it can be used.
Telcos are obliged to protect the organization's data,
which is growing at an exponential
rate from misuse by any of its employees. Security requirements demand that
employees not have access to, or the ability to tamper with consumers’ billing
call records or texting history. Data volumes from various different sources pose a
challenge in storing and processing this mammoth of information.
Misdeeds older than a given window cannot be investigated, requests for information are delayed due to conventional retrieval and New regulations mandated the retention of certain data sets for multiple years.
With the highly scalable storage, analytics and reporting capability Operators can now answer all sorts of question in relation to data breaches, Detect and Prevent breaches in real-time, support regulatory mandates and legal compliances.
Fraud detection systems depend on data mining algorithms to identify and alert the
to fraudulent customers and suspicious behaviour .While data mining techniques help
in the areas of subscription fraud, it is useful to remember that there can be
methods of fraud, requiring other analytic models to aid detection.
Bigdata allows correlation of internal location, usage, and account data with external sources such as credit reports, operators could significantly increase the detection of fraudulent activity such as call forwarding on hacked PBXs, swapping of SIM cards, and improve the overall accuracy and efficiency of their efforts to recognize patterns of fraudulent behaviour.
Implementing security solutions such as Digital Rights Management , Information Leakage Prevention for enforcing security at the end user level becomes great challenge as mobile phones evolve into personal data hubs, end users are facing privacy and security dangers that are escalating and multiplying, as threats converge from a range of environments, including SMS, cloud, Web 2.0 and malware threats from non-trusted applications. As a result, customers are now as concerned about data integrity as call quality.
A smart data platform equipped with retrospective tools can in real-time mitigate and ensure end user privacy, security and data integrity which becomes paramount of customer experience with the operator.