Only MapD gives telcos the real-time visual analytics they need to maintain healthy network operations and customer service levels across operations that generate billions of network logs and call detail reports every day.

  • Only 30% of global telecom companies invest in big data analytics
  • By 2021, global mobile data traffic will reach 49 exabytes per month
  • Average revenue per subscriber has fallen annually since 2006

“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…”

Jason Sanders
Senior Manager of Technology, Verizon

Crowd-sourced Mobile Network Quality

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See how MapD can solve many varying challenges for leading telecommunications providers

Detect Network Anomalies

The Challenge

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.

MapD Solution

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.

MapD Customer Video

See how Tutela provides telco analytics at extreme speed and scale

MapD Demo

See how MapD is used to interactively explore a large mobile coverage and quality dataset

OmniSci Video

OmniSci overcomes the data challenges of speed, scale, and real-time interaction, to provide telecommunication carriers instant insights from datasets too big or too fast for traditional analytics platforms.

Location and Mobile Services

The Challenge

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.

MapD Solution

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.

MapD Customer Case Study

How Skyhook uses MapD for location intelligence and insights

MapD Demo

See how MapD is used to interactively explore a large mobile coverage and quality dataset

OmniSci Video

OmniSci overcomes the data challenges of speed, scale, and real-time interaction, to provide telecommunication carriers instant insights from datasets too big or too fast for traditional analytics platforms.

Tutela: Showing Carriers Network Anomalies

The Challenge

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.

MapD Solution

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.

MapD Customer Video

See how Tutela provides telco analytics at extreme speed and scale

MapD Demo

See how MapD is used to interactively explore a large mobile coverage and quality dataset

MapD Customer Case Study

How Tutela uses MapD for geospatial analytics in telco network operations

Rapid Response to Cyber Incidents

The Challenge

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 Solution

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.

Watch MapD Demo

See how MapD Immerse interactively explores your Google Analytics data

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