Renovated Data Streams
Using a stream as a mechanism to solve a use case is generally more effective and faster at solving the problem than building complex batch processes relying on massive infrastructure.
Internet of Things
Capturing data points from a multitude of different IoT devices or sensors around the globe means that there is a vast amount of data generated, but much of this is meaningless without context applied to it. An EntityStream will use the small properties within the data point and augment it with information from internal or external systems to give it a wider metadata scope that can be used to feed it into analytical systems inside your organisation and extract value.
Data points can often contain accurate latitudinal and longitudinal coordinates collected from ubiquitous GPS technology. Such a data point is vital to not only identify the locality of data but also to determine if the device is or will soon be within a pre-determined area often called a radial or polygon. Such areas represent a geo-fence that can be constantly monitored and assessed using an Entitystream to alert monitors of new and vital events and potential opportunities
Retail Financial Services
Transactions can originate in retail or commercial situations and in many cases the transactions have a minimal scope. Often payment processing vendors or gateways receive very little data about the transaction and if it is true or fraudulent. An Entitystream adds context to the transaction by identifing the purpose of the transaction plus it can use advanced lookup techniques to determine what product or service that the transaction relates to and can thus determine the best way to handle it
Trades in a multitude of instruments can occur in a single second in Investment Banking, much of them are classifiable easily using traditional back office and settlement systems. However more and more complex derivative are created by Banks and Investment managers that require more innovative ways to settle and report on activities.
An Entitystream can be built quickly without huge technology investment meaning that the counterparties in a transaction can handle the extra processing needed to complete a transaction within the limits specified and feed data directly to traditional systems.
Financial services organisations have increasingly complex and diverse messaging requirements – EntityStream supports SwiftNet the standard for the transmission of trades in Straigh Through Processing
Healthcare relies upon information to be able to be effective, without a full scope of information health services are unlikely to be able to give the best services when a patient presents. Plus it is key to look for trends and factors outside the patients profile that may be related to family history or from contact tracing. An EntityStream has advanced healthcare oriented data collection (HL7 FHIR 4), matching and publishing techniques to grab and identify patients and the associated administration records to provide such a complete viewpoint to the physician.
Patients are not the only aspect of healthcare that is key to identifying a symptom, also the ability to bring in data from a multitude of sources and even to identify personal contacts made between individuals, family members and the physicians themselves. The ability to spin out to discover information in all related data points around it. Using EntityStream relationships can be tenous or determined and measured using facts, enabling quick access to relationships that are less obvious or hidden.
Entitystream has advanced Amino Acid and Nucleic Acid Sequence indexing, searching and comparison as part of it’s advanced Bioinformics capabilities
In Flow Data Improvements
EntityStream is a real-time data flow that allows for performing complex data improvements within it.
The main purpose of it is to present the user with up-to-date information and keep the state of data updated.
The EntityStream Device
Some technical aspects of the Entitystream device and what it can do.