Data Analytics & Visualization

Data Engineering

Engineering the infrastructure and pipelines that make data readily accessible is critical for Data Analytics, Data Science, and AI/ML. The ability to easily explore and transform data without hindrance is necessary for testing variations of algorithms, data models, and preparation of meaningful datasets. Without quality data feeds, any analytics or models will be misguided at best. A proper implementation of the Data Science Hierarchy of Needs provides a proper foundation for data analysis, ETL, and the building blocks upon which Data Science, Artificial Intelligence, and Machine Learning can be built.

Data Analytics

Our team has the expertise to extract actionable insights and meaningful intelligence from complex datasets, discovering patterns in data, revealing trends and metrics that would otherwise be lost in the mass of available information. We can help your organization with:

• Descriptive analytics to help describe what happened
• Diagnostic analytics to help explain why it happened
• Predictive analytics to help anticipate what will happen
• Prescriptive analytics to help suggest a course of action

We have experts in Decision Analysis, Machine Learning, and statistical modeling who can analyze your business' value proposition and available data, and then design and implement analytics solutions that are customized to your operational challenges and objectives.

Data Visualization

Data visualization is both an art and a science where the goal is to communicate information clearly and succinctly to users. The results of even the best analytics can often be lost or misconstrued by poor, faulty, or overly-complex visualizations. Building effective visualizations and interactions enable users to uncover anomalies and reach the right conclusions. At Prominent Edge, we continually strive to provide concise and effective data visualizations that enable users to interactively explore and navigate their data to understand trends, outliers, and patterns, in order to facilitate rapid insight and informed conclusions. We also have expertise in geospatial and 3D which is paramount for some data.

Data Modeling and Integration

A common challenge facing many organizations is the need to integrate data from disparate sources. We can help you take stock of the data within your organization and implement a practical solution for gathering it automatically into an easily accessible data lake, and making it available for different uses across the organization, often by implementing Data Warehousing and dedicated Data Marts. We have expertise in a wide variety of data-related technologies, including but not limited to:

• Cloud-native storage solutions in AWS, Google Cloud, or Azure.
• All flavors of relational databases, such as PostgreSQL, Oracle, and SQL Server
• Numerous flavors of NoSQL databases such as DynamoDB, Accumulo, Google BigTable, MongoDB, or Neo4j which include key-value stores, columnar stores, document stores, and graph databases.

Data Governance and Data Stewardship

We view Data Governance as a continuing and constant process in the Enterprise, and believe that most organizations can benefit from the establishment of a Data Governance program that is guided by written standards. A properly-implemented Data Governance program will ensure the availability, usability, integrity, and security of data in Enterprise systems.

Because we believe that Data Governance is applicable to most organizations, we strive for a low barrier to entry and favor an evolutionary approach. This approach is tailored to the needs of the organization and will emphasize immediate results, whether from the standpoint of data quality, compliance, or merely breaking-down data silos so that data is easily and readily available to those authorized to access it. Once the basics of a Data Governance program are established, we recommend a process of continuous improvement.