“Getting MapD up and running, in a large environment like Verizon, was one of the better experiences that I’ve had in deploying a tool…”
Senior Manager of Technology, Verizon
Crowd-sourced Mobile Network QualityTry the demo
Telecommunications networks transmit data from multiple towers to handsets that then report signal strength back to towers. Network operations centers (NOCs) monitor this interchange to identify instances of poor signal strength. Legacy analytic solutions cannot query and visualize call detail records (CDRs) or network logs quickly enough for NOCs to fix issues before customers notice.
Network signal strength constantly fluctuates by location, over time. MapD lets NOC teams query and explore CDRs and network data on geo charts to understand where anomalies occur and then resolve them. Those responsive geospatial analytics help telcos dispatch service teams to where they’re needed most, keeping customers happy.
Location-based metadata can create a wealth of new business opportunity. Yet this stream of data scales too quickly for developers who want to create apps showing relationships between the location of people and equipment to other operational data. Existing analytic engines cannot keep up with the scale and speed of today’s operational data.
The MapD Core SQL engine was designed for this new era of location intelligence. It can process billions of rows of structured data in milliseconds and visually render those with the same speed. This dramatically accelerates operational analytics, marrying vital business datasets to mobile location metadata. Because MapD Core is open-source, in-house or third-party developers can easily create new apps to deliver analytic apps for exploring layers of operational location data.
Tutela set out to build a crowd-sourced solution for visualizing mobile data on network quality. Once its data reached extreme volumes, it became too much for traditional data visualization tools. It took days of labor to gain minor insights from an inherently valuable data set. Tutela chose to embed MapD’s visual analytics, offering its customers an interactive portal to explore network performance data on their own.
Now Tutela's software is installed and runs on over 200 million cell phones globally to measure mobile network signal quality. Tutela’s mobile telecom clients view the health of their networks using MapD Immerse. This helps those telcos with operational analytics to improve their coverage and provide a better subscriber experience.
Unauthorized intruders infiltrate systems of national governments and global corporations by hiding their tracks across identities, devices and behavior. Teams in Security Operations Centers (SOCs) receive countless incident alerts, but most are false alarms, so SOCs waste thousands of hours a year investigating those. When an actual attack has occurred, slow analytics across fragmented data make it harder for security teams to identify and patch vulnerabilities before more data is compromised.
MapD's zero-latency visual analytics don't require pre-aggregation. In this cat-and-mouse game, that speed gives security analysts immediate insight. They can perform hundreds of queries in quick succession, without losing access to any granular information. SOC teams can investigate far more cyber alerts every day, and when they do find a vulnerability they have the data they need to apply the right patch quickly, maintaining an ongoing patch cadence that deters future attacks.