Augmented Analytics

IntelliDyne helps the government increase the quality of business intelligence leveraging machine learning and data analytics to increase effectiveness.

Accelerate Data Discovery with Intelligent Automation

Augmented Analytics solutions enable decision makers and analysts to quickly get to the point of their analysis and automate ‘next-step’ actions using intelligent automation, which is the convergence of Artificial Intelligence (AI), Business Intelligence (BI), Machine Learning (ML) and Robotic Process Automation (RPA) technologies. Augmented Analytics automatically correlates relevant data to aid rapid discovery, reveal concealed areas requiring deeper analysis, and deliver those insights to decision-makers faster than traditional BI. The integrated technologies can pinpoint hidden events or conditions such as fraud, customer churn, health conditions, or component failure.

Using machine learning approaches to identify these events allows decision makers to act on them immediately, effectively eliminating discovery efforts to allow more time for addressing the root cause. Additionally, Augmented Analytics’ use of conversational analytics and natural language processing (NLP) make data science more accessible to a wider range of users and decision makers.

IntelliDyne Takes Augmented Analytics to the Next Level

Nearly every organization uses BI tools to develop dashboards that report what happened. At IntelliDyne, we’ve formulated a new approach with Augmented Analytics to enable decision-makers and analysts to understand why, by applying filters to dig deeper, find events meeting certain criteria of interest, and ultimately prescribing what actions to take next. Through the integration of powerful BI, AI, ML and RPA technologies, our Augmented Analytics methodology takes traditional BI dashboards to the next level, improving the speed and quality of decision making, and even automating the required next steps. It shifts valuable resources from finding the what to learning the why.

Our Capabilities:

Machine Learning
Robotic Process Automation
Business Intelligence
Prescriptive Analytics and Modeling
Neural Networks
Natural Language Processing
Data Engineering
Data Governance

Impact on Our Clients:

Improving the speed and quality of decision making
Automating required next steps and action items
Embedding AI, ML, and RPA into BI apps to pinpoint areas of focus
Aiding in rapid discovery/revealing hidden areas requiring deeper analysis
Automatically correlating and delivering relevant data
Making data science more accessible to a wider range of users and decision-makers