cBEYONData

Our data integration and management solutions are accomplished by utilizing leading technology software and customized cloud solutions with an Agile-based approach preferred today by numerous federal agencies and organizations. We provide cost-effective, time-sensitive and professional best-in-class data management services which include multi-system data integration, data conversion, and data quality services. cBEYONData has the expertise and the experienced personnel to handle data integration and management projects of any scale and of any kind.

To manage large amounts of unstructured data, cBEYONData looks at data from a more holistic perspective, applying broader analytics, statistics and data mining techniques that let the data drive the correlations and resulting insight.  With such expansive, unstructured data sets, the approaches used in understanding the data becomes closer to biology than business.

If data is not secure, it cannot be trusted. Therefore, cBEYONData places a very high priority on solutions that keep sensitive data secure. We integrate technologies such as Single Sign On (SSO) to reduce the burden of needing to remember multiple log in User IDs and passwords.  We also help our customers manage the authority to operate ATO process, leveraging our experience meeting Federal security requirements.

cBEYONData works with our customers to determine which type of data solution is a best fit for each specific environment. In many cases, a Warehouse with structured and organized data is a huge benefit, as it allows users to more easily find and analyze data. However, creating and maintaining a Warehouse can require significant management, and in some cases a Data Lake is more appropriate because it reduces the upfront costs of data ingestion. The data in a Data Lake is more difficult to analyze because it isn’t structured. cBEYONData data experts help our customers identify and analyze data in a Lake, providing high value results even when the data is not structured for ease of reporting. Creating an Informed Data Lake is another approach to resolve the challenges that arise from trying to analyze large amounts of unstructured data in a Lake. We utilize industry standard tools to create dynamic ontology mappings and auto-generated conceptual models, unifying common use cases and improving analytic capabilities.

Data wrangling is the process of converting manually a raw format into another one, allowing thereby an easier and more convenient consumption of the data. This is a very time consuming step of cleaning data that is necessary in any data analysis. The process follows three steps: data extraction, data wrangling, and finally collection of the results that will be used in the future.

As our customers explore automation solutions, cBEYONData helps implement computing applications that access data and begin to learn and adapt from it without human interference.

cBEYONData establishes a process and governance framework for creating, controlling, enhancing, attributing, defining, and managing a metadata schema, model or other structured aggregation system, either independently or within a repository and the associated supporting processes.

In our solutions, we structure information models and associated data schemas such that every data element is stored once, resulting in a Single Point of Truth environment.  Links to the data elements  (possibly in other areas of the relational schema or even in distant federated databases) are by reference only.    Because all other  locations of the data just refer back to the primary “source of truth” location, updates to the data element in the primary location propagate to the entire system without the possibility of a duplicate value somewhere being forgotten.