Phasic Systems Inc has developed a unique agile methodology and core technology suite, DataStar, to solve the
toughest data and management problems organizations face. DataStar is a cost-effective and efficient tool which uses
agile business-centric modeling and integration. Agility focuses on producing value quickly instead of following
structured methodologies. Our agile technology, together with our facilitated methodology, supporting products
and integration, delivers the agile facilitated solutions other companies simply can’t. It is easy to learn, easy
to use and can handle every business variation using simplified standards-based semantics.
As consultants and developers to many large organizations, we understand that the problem most organizations face is their inability to identify,
access, retrieve and utilize data effectively to support business operations, reporting and decision-making.
This inability stems from the fact that their data is dispersed over a vast number of disparately developed
systems and applications. Since data continues to proliferate (producing multiple versions with conflicting meanings)
in response to business needs, the management of data has become an intractable problem. Without new approaches and
supporting tools, organizations cannot:
- achieve the advantages of the Cloud
- capitalize on their data
- conduct data standardization and consolidation
- provide streamlined services to ensure customer satisfaction
- generate accurate reports to maintain regulatory compliance
- develop successful business strategies
DataStar Discovery
DataStar Discovery is an Agile data governance and standards methodology and management system. It uses
a simplified, guided semantic framework of intuitive everyday concepts (e.g. organization, process, technology)
to rapidly and easily capture critical information from documents, web sites, and people to build and
deploy common data standards and models. It gets to the core knowledge and decisions necessary
to identify, analyze, and define what key business terms mean in their use case context, and how to
implement them in a high performance enterprise data model. It is this use case context (the semantics)
that is missing from other approaches and which almost universally
prevents common data standards from being adopted, practical, or both.
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"We accomplished more in three months with DataStar than we did in the past three years." Dept of Navy CIO
DataStar Unifier
DataStar Unifier connects Agile data warehousing and integration, i.e. Aggregation, directly to governance with
automatic use of managed data models, allowed values, master code lists, and XML schemas. Existing integration tools
and database servers can be used but made many times more Agile, cost efficient, and adaptive to changing business
requirements’ using PSI’s patent pending technology for Corporate NoSQL. Corporate NoSQL is a PSI invention that
blends the best of traditional data modeling with the significant speed and flexibility benefits of NoSQL. Traditional
data model techniques are rigid, brute force endeavors requiring complete knowledge of business requirements, data
standards, and use case contexts before designing entities and attributes.
The aggregated data is automatically loaded into existing database servers
(e.g. Oracle, MicroSoft, IBM) or a NoSQL system (e.g. Cassandra, Mongo).
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Consolidated & corrected 1 million HR records in Oracle as only trustworthy data– VADM K. Moran (Ret)
DataStar Adapter
XML schema are increasingly the basis of industry standards for data interoperability, such as NIEM for
the US Federal Government, HRXML for Human Resources data, and XBRL for corporate financial reports.
They typically have two characteristics that make them difficult to put into production use. First, XML elements
can be repeated multiple times within one schema and even with one branch of a schema (the latter leading to
infinite recursion problems). This increases the risk that a data exchange partner will defines their mapping
differently hindering interoperability. Second, the schemas tend to have many levels of nested elements which
can create a high transactional latency for data converters that signficantly lowers performace.
DataStar adapater is a source to XML mapping manager with a Windows service engine that can transactionally
convert data from/to XML packages, even highly nested, without performace degradation.
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Corporate NoSQL™
PSI created Corporate NoSQL™ to take the best of traditional data modeling and the new NoSQL movement.
It is object-based, uses business terminology, easily handles all semantic
variations and updates without any changes to logical or physical models, directly implements
governance concepts in models and physical storage, and can be as ‘dimensional’ or ‘normalized’ as
desired. Each table comes from governance concepts and there can be multiple tables for concepts with
important variations, such as “customer” with variations for a common enterprise definition,
a legacy or proprietary application, and different departments. Since Corporate NoSQL uses NoSQL
vocabulary to map attributes to data, there is no limit to how many variations can be used and how
often they are changed without any changes to logical or physical models.
Each table has keys and a type-value pair where the ‘type’ element holds the vocabulary instance
and the ‘value’ element holds its instance value.
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Only consolidated data approved as trustworthy - VADM K. Moran (Ret)
