Analytics provide insights to inject fresh ideas and innovation into your enterprise, predict security vulnerabilities, and pave the future of data collection and processing for your organization. Today, many organizations invest in ‘big data’ and ‘big budget’ that is either too slow, too bureaucratic, or too cluttered, and often requires IT support for basic functions. This is simply not good enough. A new approach is needed to meet this challenge.
At MetroStar, we focus on minimizing redundancy, reducing complexity, and delivering superior modern business and data intelligence platforms that address two critical needs “time” and “insights”. MetroStar’s Data as a Service (DaaS) is a metadata management approach, which points to new paradigms for stronger data sharing in an open and big data world creating new business opportunities for ‘Real-time Data’ and eliminating redundancies.
MetroStar designs and deploys a harmonized approach for your data analytics by:
- Identifying the appropriate context of an application data model (i.e, enterprise or integration).
- Defining and aligning metadata element types, establishing data charters (i.e., description, author, subject, format, and purpose), and takingadvantage of standards (i.e., schemas like Dublin Core).
- Defining values for controlled vocabularies or free text.
- Providing domain specific taxonomy for hierarchical structures for controlled vocabularies, allowing you to organize information and to provide terminology to catalog and retrieve information.