DART’s Streaming Analytics Helps Attain Network Excellence

Real-time streaming analytics helps a wide range of industries by spotting opportunities and risks in huge pools of current and “in-motion” data.

Streaming analytics is also known as event stream processing. It is done via continuous queries called event streams that are triggered by a specific event. A financial transaction. Equipment failure. A social media post. A website click. Any other measurable activity.

Data can come from many sources. The Internet of Things (IoT), transactions. Cloud applications. Web interactions. Mobile devices. Machine sensors.

Streaming analytics platforms enable organizations to extract business value from data in motion just like traditional analytics tools extract value from data at rest.

Not all streaming analytics tools are the same

Data Analytics Real Time Platform (DART) analyzes and processes high volumes of fast streaming data from multiple sources simultaneously. It identifies patterns and relationships in information extracted from a number of sources, like devices, sensors and applications.

DART uses these patterns to launch actions and initiate workflows triggered by alerts, feeding information to a reporting tool, or storing the data for long term analysis.

DART Streaming Analytics Has Many Advantages

  •  Data visualization. DART manages KPIs by monitoring streaming data in real time.
  •  Anomaly Discovery. DART automates detection and response by user-defined alerts that trigger workflows.
  •  Decreased Mean Time to Repair (MTTR). DART’s streaming analysis in the moment far outstrips after-the-fact batch analysis, which simply cannot keep up any longer.
  •  Trend Analysis and Network Planning. DART ingests and stores valuable data in a time- series database to uncover insights into the network not available otherwise. It allows better network planning and reconfiguration to match existing traffic and plan for capacity increases.