Bigdata Analytics and Business Intelligence Platform

As the engine of delivering information at the speed of thought, emerging database technologies play a critical role in supporting and empowering more effective business analytics. Multiple disparate data formats, a variety of different data sources across the internal and external enterprises, rapid data growth, and the volume, velocity, and variety of data streaming at high speeds present challenges to rapidly ingesting and processing that data for analytical intelligence. AE digital data experts can analyze new and diverse data streams, reveal new sources of economic value, and identify trend patterns ahead of the competition. Our digital data experts can harness internal and external, structured, and unstructured data to make the most informed real-time decisions for strategic gain. If your enterprise has a big data initiative, our data experts can provide tremendous value in the following ways:
  • Clearly projecting the objectives of a big data initiative.
  • Defining the data sets required.
  • Identifying the disparate data sources desired.
  • Outlining data enrichment actions.
  • Leveraging our proven real-time big data integration platform of choice.
Our digital data experts provide federal agencies a suite of digital data service offerings to meet their data goals while adhering to these tenants:
  • Data is Visible
  • Data is Accessible
  • Data is Understandable
  • Data is Linked
  • Data is Trustworthy
  • Data is Interoperable
  • Data is Secure.
From automation to artificial intelligence (Al) to edge devices, our digital data experts ensure the secure digital analytics platform enables the vast flows of data available from external sources, vast number of disparate systems, and connected sensors and platforms. We carefully treat enterprise data as a strategic asset while protecting their data resources and ensuring the data is made available to users even as their demands continue to change.
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Autonomic Enterprise

Our BDAAI Approach uses best practices, processes, and technologies, including AI/ML/DL/LLM/NLP, to combine and analyze massive datasets with the goal of identifying patterns and developing actionable insights. Our digital data experts provide federal agencies a suite of digital data service offerings to meet their data goals and objectives:

 

  • Data is Visible.
  • Data is Accessible.
  • Data is Understandable.
  • Data is Linked.
  • Data is Trustworthy.
  • Data is Interoperable.
  • Data is Secure.

Big Data Analytics and Intelligence (BDAAI)

As the engine of delivering information at the speed of thought, emerging database technologies play a critical role in supporting and empowering more effective business analytics. Multiple disparate data formats, a variety of different types of data sources, rapid data growth, and the volume, velocity, and variety of data streaming at high speeds present challenges to rapidly ingesting and processing that data for analytical intelligence. AE digital data experts can analyze new and diverse data streams, reveal new sources of economic value, and identify trend patterns ahead of the competition. Our digital data experts can harness internal and external, structured, and unstructured data to make the most informed real-time decisions for strategic gain.

Combine data flow specific tools with data analytics platform built on an open, extensible architecture—make sense of your data — unstructured text, video, audio, geospatial and sensor — so you can spot opportunities and risks as they happen.
  • Combine data flow specific tools withdata analytics platform built on an open, extensible architecture—make sense of your data — unstructured text, video, audio, geospatial and sensor — so you can spot opportunities and risks as they happen.
  • Empower enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing and advanced data query.
  • Enable real-time data replication to minimize downtime and keep data consistent across Hadoop distributions, on premises and cloud data storage sites.
  • Build and train AI/ML models, and prepare and analyze big data, all in a flexible and elastic cloud platform of choice.