Analytics solutions company Teradata announced this week four accelerators that speed up the transformation of Internet of Things (IoT) data to actionable insight. Teradata “Analytics of Things Accelerators” (AoTAs) are derived from field engagements at various IoT companies in manufacturing, transportation, mining, energy and utilities.
The accelerators are comprised of technology-agnostic intellectual property (IP) and professional services, applied approaches proven to reduce implementation cost and risk, accelerate time to value, and drive business returns far greater than the initial investments.
Forecasts project 21 billion connected “things” in the digital universe by 2020. With data volumes generated by the IoT already dwarfing data waves from social media, information leaders must begin now to identify the requirements necessary to support adoption and implementation of IoT capabilities. Along with establishing requirements, they must also develop strategies, processes and execution plans to ensure that data is optimized to deliver compelling ROI.
“Teradata AoTAs are already addressing and resolving $100 million-dollar problems for manufacturers of vehicles, equipment, oil and gas systems, and consumer goods,” said Oliver Ratzesberger, Executive Vice President and Chief Product Officer, Teradata. “These challenges represent billion-dollar budgets for each company, to be clear on the scale of business value addressed by AoTA. For example, our AoTAs have increased overall equipment effectiveness as much as 85 percent, while also improving predictability and asset availability. We are seeing a lot of excitement around our Accelerators, because the return on investment is transformational in scope and compelling in business impact.”
Teradata AoTAs help organizations determine what sensor data to trust and keep, while choosing types and combinations of analytical techniques to best address specific business questions. The accelerators help organizations move from costly experimental projects to enterprise-class solutions scaling across thousands of connected devices and countless assets that result in continuous positive business impact.
Currently available, the latest Teradata AoTAs offer condition-based maintenance accelerator that continuously monitors and analyzes asset data from remote devices or equipment at scale to increase availability, improve safety, and reduce costs; manufacturing performance optimization accelerator that identifies complex production problems across equipment performance and availability for quick corrective action; sensor data qualification accelerator that automates recommendations on the optimal frequency of sensor readings based on relevant anomaly patterns; and visual anomaly prospector accelerator that mines large amounts of multidimensional time series (MTS) data from remotely monitored equipment and devices, and visually helps an end user discover anomaly patterns that frequently precede a key event.
The VAP outputs visually all the data channels in ways that allow users to spot where there appear to be patterns, outliers, and anomalies that can be acted upon. With VAP, clients can see some interesting things in the sensor data – so it can be used if a busy person does not want to spend hours combing through hundreds of sensor streams to manually find these data signals and quirks every day.
Ratzesberger said many companies are unaware that Teradata consulting services have helped customers implement sensor data analysis since the late 1990s, with extensive experience in the manufacturing and utilities verticals. “Teradata consulting professionals are veterans at solving the biggest data problems in virtually every major industry, and experts in the use of IoT data, regardless of the customer’s analytic ecosystem,” he added.