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JKool Introduces SaaS Solution for Big Data

jKool, LLC introduced a new, software-as-a-service (SaaS) solution for analyzing Big Data in real time.

JKool is designed to spot the patterns in data that lead to actionable insights. Often the value hidden in this data is perishable, requiring immediate action before it becomes stale. JKool’s near real-time analysis of time-series data is able to capture insight, instantly. After an initial preview period, jKool LLC. will introduce a paid subscription service that companies can use on a regular basis.

JKool provides a number of streaming operators as part of its service including: Bollinger Bands, aggregates and filters in order to automatically detect outliers and anomalies. It also considers that data can be location-specific with meaning that is location-explicit. Its geo-fencing capability is helpful in detecting patterns in behavior that are linked to individual geographies. JKool is different than other tools in its innate ease-of-use, open-source approach and high scalability. As a SaaS solution, there is nothing to install or maintain. The solution features a simple, mobile-friendly web dashboard and an English-like query language called JKQL that lets users converse ad hoc with their data and then interact with the visuals on the dashboard.

The service provides an open source API, TNT4J, which makes it easy to stream information into the jKool cloud service. JKool scales transparently, parallelizing natural-language queries in order to quickly reveal cause and effect, correlations between disparate data points, locations, bottlenecks, and outliers that are integral to how businesses perform.

“To date, business analytics has been reserved for the largest companies with the biggest budgets and a plethora of experts,” said Charley Rich, vice president of product management at jKool. “jKool offers big data analytics for the rest of us—businesses of all sizes and across industries. We’re inviting everyone to try the service, use its sample data, download the open source API and understand how they can really use their data, not simply save it.”

jKool designed the technology and service in response to the evident need from sectors such as financial services, healthcare and advertising to get at the business insights buried in timeseries data. These may include trends on how, when and where consumers are behaving in the purchasing process, how the market is reacting or trends in healthcare over time.

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JKool Introduces SaaS Solution for Big Data

jKool, LLC introduced a new, software-as-a-service (SaaS) solution for analyzing Big Data in real time.

JKool is designed to spot the patterns in data that lead to actionable insights. Often the value hidden in this data is perishable, requiring immediate action before it becomes stale. JKool’s near real-time analysis of time-series data is able to capture insight, instantly. After an initial preview period, jKool LLC. will introduce a paid subscription service that companies can use on a regular basis.

JKool provides a number of streaming operators as part of its service including: Bollinger Bands, aggregates and filters in order to automatically detect outliers and anomalies. It also considers that data can be location-specific with meaning that is location-explicit. Its geo-fencing capability is helpful in detecting patterns in behavior that are linked to individual geographies. JKool is different than other tools in its innate ease-of-use, open-source approach and high scalability. As a SaaS solution, there is nothing to install or maintain. The solution features a simple, mobile-friendly web dashboard and an English-like query language called JKQL that lets users converse ad hoc with their data and then interact with the visuals on the dashboard.

The service provides an open source API, TNT4J, which makes it easy to stream information into the jKool cloud service. JKool scales transparently, parallelizing natural-language queries in order to quickly reveal cause and effect, correlations between disparate data points, locations, bottlenecks, and outliers that are integral to how businesses perform.

“To date, business analytics has been reserved for the largest companies with the biggest budgets and a plethora of experts,” said Charley Rich, vice president of product management at jKool. “jKool offers big data analytics for the rest of us—businesses of all sizes and across industries. We’re inviting everyone to try the service, use its sample data, download the open source API and understand how they can really use their data, not simply save it.”

jKool designed the technology and service in response to the evident need from sectors such as financial services, healthcare and advertising to get at the business insights buried in timeseries data. These may include trends on how, when and where consumers are behaving in the purchasing process, how the market is reacting or trends in healthcare over time.

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