Digital Transformation constitutes a new, challenging reality in multiple verticals like Telecommunications, Financial Services and Utilities. Intracom Telecom introduces BigStreamer™ a powerful analytics suite built on the latest Big Data technologies. It can process and aggregate huge amounts of raw data in real-time, identify apparent or latent correlations, calculate real-time KPIs and compare them against thresholds representing business objectives, send alerts, trigger actions, generate forecasts and provide the User Interfaces to access raw or processed data.
BigStreamer™ leverages data retrieved from a variety of sources and any other structured or unstructured data source available in an enterprise's ecosystem:
It employs an extensive set of data mining and machine learning libraries enabling knowledge extraction from the accumulated data collections. Supported analytics range from simple metrics' calculation and KPI quantification to descriptive/predictive modeling, optimization modeling, real time analysis, sentiment analysis etc. Additionally, it facilitates the tuning of any algorithm or procedure by means of a semi-supervised closed feedback loop mechanism. All information is available via APIs to 3rd party applications for further processing or visualization. Finally, Big Streamer's visualization provides advanced visualization & reporting capabilities.
Intracom Telecom offering consists of a full set of Big Data Services:
BigStreamer™ is addressing more than one Industries:
For more details, please refer to ‘ Applications ’
BigStreamer™ Platform combines best of breed tools such as Hadoop, Elasticsearch and Kibana, adapted & enhanced for any organization's environment. An industry-oriented Data Model, accompanied with industry-specific Metrics has been developed to enable data collected from various sources to match each organization's business. Both, data model and metrics, are driven by TM Forum's standards. BigStreamer™ components architecture supporting the above functionality is depicted in the Figure:
BigStreamer™ makes use of the computational & storage power of any Hadoop distribution (e.g. Apache, Cloudera, etc.) installed by the organization or Intracom Telecom. Hadoop-enabled Adapters Repository ensures that BigStreamer™ can seamlessly interconnect with and capture data from any Data Source applicable per industry Prediction Model Repository contains KPIs and predictive analytics algorithms used by data scientists to formulate, store and utilize powerful predictive data models that give answers to pressing business challenges that each organization faces. Such big data use cases may be different per industry and business concerned.
Event Stream Processor module captures streaming data, correlates occurring events and automatically generates triggers or alerts for subsequent actions by other systems. Triggers are determined by applying the appropriate algorithm(s) from the prediction models repository. Industry-oriented domain specific language makes writing complex rules easy. Complex Event Processing functionality is based on Apache Storm, a distributed processing engine, and powered by Drools, a carrier-grade inference engine.
Finally, BigStreamer™ enables the users from various organization’s functions to enhance their decisions by conducting ad hoc analytics and visualization due to partnership with key technology vendors in BI software, which provide rich and highly-interactive interfaces with web-based reports, dashboards and analytics.
BigStreamer™ is addressing more than one Industries:
Intracom Telecom believes that any organization's success depends on its ability to achieve a satisfying customer experience by managing simultaneously key strategic elements like; its infrastructure, its customers themselves, its ‘internal’ customers (the employees) and the services offered to its customers. This approach has been followed and adopted per industry-specific needs, as follows:
A CSP should provide enhanced customer experience along with efficient management of the Network infrastructure, the Services offered, the Customers themselves and the telco Business. BigStreamer™ embraces all four strategic elements of a CSP's business, as shown in the Telco-specific Big Data Use Cases Table:
| Network | Service | Customer | Business |
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For this Sector, Intracom Telecom has designed and implemented a series of caching system projects powered by Redis. Redis is an open source Software (OSS), considered to be number one NoSQL database (as compared to all other popular databases, e.g. Couchbase, Cassandra, Datastax), in terms of performance, simplicity and extensibility.
Redis supports the highest data throughput at the lowest latency for a considerably high volume of application requests/sec and in parallel, it requires the least amount of IT infrastructure, making it a cost-efficient solution.
Intracom Telecom offers Caching Solution Architecture Analysis & Integration for channel interactions’ management that could provide:
Addressing typical challenges, such as:
Relevant Use Cases where Caching drives value are:
BigStreamer™ as being a powerful analytics suite it can process and aggregate huge amounts of raw data in real-time, identify correlations, calculate real-time KPIs and compare them against thresholds, representing company’s business objectives, send alerts, trigger actions, generate forecasts and provide the User Interface to access raw or processed data.
BigStreamer™ for Utilities leverages data retrieved from a variety of sources available in the Utility Company’s ecosystem offering some key use cases like the following: