Sevatec, Inc. | Services | IT

Data Management

A Framework for Characterizing and Assessing the Maturity of an Organization's Data Analytics Capabilities

We view data analytics as a set of capabilities with requirements, models, standards, and metadata that guide the transformation, access, and management of data sets supporting an organization's visions, goals, and objectives. Our data analytics framework includes capabilities that support organizations in all functional areas by:

Enabling interoperability
Reducing redundancy
Aligning business processes
Reducing costs

Data Transformation

Data transformation integrates a wide range of techniques and technologies to provide an end-to-end solution. We use data transformation to integrate two or more data sources into one semantically consistent schema and enables potential use of Cloud Computing to store the data.

Data Access

Data access connects external users and systems to data. We use data access to discover, retrieve, consume, modify, distribute, and share persistent enterprise information internally and externally.

Data Governance

Sevatec's approach to data governance helps define the authorities, rules, and processes by which an organization's data is managed and made available. At a high-level, data governance helps organizations:

Maximize data sharing
Improve data quality
Protect data
Manage data effectively

Data Security

Our approach to data security helps protect privacy, by incorporating centralized control over security policies, and providing a blueprint for an enterprise-wide enforcement of security policies. Sevatec's Lifecycle Identity Management framework is tightly integrated with data analytics to enable the alignment of an organization's enterprise architecture with the Federal Identity Credentialing Access Management (FICAM).

Data Quality

Sevatec's approach to data quality helps agencies incorporate quality and performance measures, develop quality standards and review mechanisms, prioritize quality issues based on relevance, provide continuous monitoring, and develop quality performance dashboards.

Cloud Computing Analytics

Many varying definitions of Cloud Computing persist, but all share the same key tenet – a massively scalable and elastic IT-enabled infrastructure that can deliver capabilities as a service to users or systems over existing Internet technologies. Sevatec's Cloud Computing Analytics offers many advantages, including the:

Algorithms for computing in a distributed environment using a divide and conquer approach with a massive amount of nodes;
Ability to break problems into small pieces, disperse the work, and consolidate them once all the answers are obtained; and
Ability to store and process petabytes of data and beyond if needed on demand.

Incorporating new cloud data analytics tools to transform old relational models into more flexible and efficient ways to run queries is a key area Sevatec is working to innovate ways to analyze large data sets.