4D analytics can optimise IoT Edge computing

Customers get the power of 4D analytics to analyse and manage data of constantly changing time as well as location variables such as cars, metro, planes etc.

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Teradata has made available 4D Analytics, a new advanced analytics capability. This combines 3-dimensional geospatial location data with the 4th dimension of time.

This advanced analytics is especially relevant in edge computing applications that exist to manage constantly changing time and location variables. Teradata is integrating these capabilities – primarily geospatial, temporal and time-series data – into the Teradata Analytics Platform. Thus, the company is enabling its customers to operationalise enhanced IoT analytics use cases.

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Souma Das, Managing Director, Teradata India said, “The announcement of the availability of ‘4D Analytics’ is very relevant to us as Automotive and Government industry verticals are our top focus verticals in India. 4D analytics functionality will empower our customers to analyse and manage data of constantly changing time as well as location variables such as cars, metro, planes etc. For instance, in Automotive industry you can look at Predictive maintenance, Usage Based Insurance, Intelligent Emergency Calling or Stolen Vehicle Tracking leveraging telematics and this functionality.”

The promise of IoT is clear, and for many industries, it’s a critical investment for the business. The Teradata Analytics Platform increases the return on this investment by making edge computing smarter and enabling business impact analysis, bringing deeper insights to traditional sensor data analysis.

The addition of 4D Analytics capability enhances IoT analytics by using insights based on both the time and “space” of a device, such as cars and wearables. Combining time-series (a series of data points collected at set intervals that shows activity and changes over time), temporal (for storing data related to relevant time periods) and geospatial data (that is associated with a device’s location), provides contextual analytics based on when and where.

The use of Teradata’s 4D Analytics capability exposes deep insights that enable new logic and rules to make the edge smarter. Enterprises interested in staying ahead of competitors can use the 4D Analytics capability to power a variety of enhanced applications, such as, wearables and personal medical devices to analyse data on patient heart rate and activity, to understand medication compliance.

Soumya Das further added, “In the Government sector, it’s a no-brainer that smart city projects will focus on using the data collected through a vast and complex network of sensors using IoT technology. It can also help in addressing larger issues such as good governance, security and traffic management to create sustained citizenship services.”

The new analytics can help the study of sensor data from a vehicle fleet, such as travel times and routes. This will optimise operations and predict the probability of a breakdown and the resulting business impact. Analysing data from individual cars to understand the difference between an accident and a near miss, making all cars smarter and safer, become easy.

The Teradata Analytics Platform, with its new 4D Analytics capabilities, is a foundational component of Teradata Everywhere: a flexible, agile and scalable way to ensure a high return on analytic investments. It is available in the cloud with the freedom to change deployment environments as business needs evolve.

Syeda Beenish

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