Oversight Systems is in the business of Big Data analytics. Come June, it also will be in the business of having its technology serve as a platform behind third-party business intelligence and analytics applications on-demand – including its ontology approach for integrating data from disparate enterprise systems.

The company currently provides packaged solutions that let front-line employees involved in processes such as procure-to-pay or order-to-cash conduct continuous transaction analysis for insights into transactions that violate business rules, so that the business can take action to close gaps and assure compliance to operational and regulatory requirements. The ontology it’s developed over the years, which includes proprietary semantic and relationship information and infers some additional information, is there to help with the acquisition and preparation of data.

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A mobile app released this week aims to give micro-entrepreneurs a hand-up when it comes to financial interactions with customers, as well as sussing prospects out to start with.

The app, called Mila, is a blend of two companies’ technologies: One of them is Core Systems, which has leveraged its history of providing enterprise resource planning (ERP) –related applications for large companies that use SAP software to enabling mobile invoicing functionality to small startups. The other is Knowledgehives, which developed the semantic technology Mila uses for matching micro-entrepreneurs with business leads.

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A recent article takes a look at the role that the manufacturing industry is taking in the ‘Internet of Things.’ It states, “At its core, the whole idea of the ‘Internet of Things’ is to literally have everything imaginable connected to a network so that information from all these connected ‘things’ can be stored, transferred, analyzed and acted upon in new and, usually automated, ways via network connections with everything else… A lot of the groundwork supporting the potential for the Internet of Things is being laid in the manufacturing industries. Read more

Over the past two years I’ve tried very hard to help define the potential application for this technology area in the context of Information Technology disciplines or problem spaces – out of those efforts has come a focus on:

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I was talking to a project manager within a large and very sophisticated enterprise this week about why her organization chose to go with an ERP-based implementation as opposed to a semantics-based implementation on a new master data system.  She was pushing for the semantic solution, but they weighed the pros and cons to each approach and came down in favor of the ERP system. 

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