Inventory Management Provider Sperantus Selects InetSoft for Client Dashboards and Reports

Inventory Management Provider Sperantus Selects InetSoft for Client Dashboards and Reports

Cites extensive feature set and flexible pricing structures as reasons for selection

InetSoft Technology, a pioneer in data intelligence, analytics, and reporting, announced that inventory management provider Sperantus has selected InetSoft’s Style Intelligence, for client dashboards and reporting.

Founded in 2008, Sperantus has developed robust web-based solutions that help their clients increase their internal and external communication and collaboration skills, as well as their inventory management. They have experience in the logistics, supply chain and 3PL fields, where success depends largely on good communication and collaboration between those involved. Sperantus knows that time is money. When it is time for a physical inventory, they can provide the client with barcode scanning equipment and also software customized to their required data fields, giving access to their database and reports. What used to take a couple days (shutting down the operation and additional labor costs), can now be achieved in hours thanks to savings from their Stock & Trace logistics system.

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Sperantus was searching for a BI tool to integrate with this Stock & Trace SaaS Warehouse Management System. Sperantus needed a central component to enable real Business Intelligence for Stock & Trace, empowering their users to explore their data better. As a SaaS provider, Sperantus required a business intelligence platform that would allow different customers and their users to have a way to analyze the data generated by the platform, as well as ensuring complete isolation of permissions between different customers. InetSoft offered a range of integration options (including Single Sign On) to create a transparent experience between Stock & Trace and InetSoft. Additionally, InetSoft offered materialized views for data transformation at scheduled intervals, enabling complex data to be immediately visualized.

The ability to integrate multiple data sources and perform live analysis were also features of interest to Sperantus. InetSoft’s user interface was of particular interest, since it was intuitive enough for Sperantus’s non-technical users to create queries and aggregations of the data by themselves, freeing up developers for other tasks. Last, but not least, InetSoft worked with Sperantus to develop the best kind of license agreement for their unique use case.

“The platform has a rich set of ways to visualize the data,” explains Diego Sainz, CEO of Sperantus. “Its design workflow provides immediate feedback, enabling us to easily find the best way to visually express what we need.”

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“InetSoft has a rich feature set that makes it a great choice for any OEM implementation,” expresses Mark Flaherty, CMO at InetSoft. “In addition to self-service dashboards and complete white label friendliness, InetSoft offers flexible data modeling and granular security that will provide compatibility with any integration.”

InetSoft’s Style Intelligence is a data intelligence platform. At its foundation is a powerful data mashup engine that enables fast and flexible transformation of data from disparate sources, which can either supplement or obviate a data warehouse solution. At the development level, a unified interface allows for easy and advanced data manipulation and design of interactive dashboards, and visual analyses. At the consumption level, self-service is maximized for a range of users, from casual business or consumer-type browsers, to power users and data scientists. As a cloud-ready, fully scalable enterprise-grade platform with granular security, multi-tenancy support, and multiple integration points, it serves both enterprises and solution providers. In either environment, ease of deployment and ease of use are chief development principles that help lower the time investment and total cost of ownership – and make the solution attractive to organizations of any size, with or without BI expertise.

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