Augmented Analytics
Get to the Point 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. Following this methodology has made a huge impact on our clients by:
- 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
Accelerate Data Discovery
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.
Leading the Charge with Augmented Analytics
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.
Learn more about IntelliDyne’s capabilities and how they relate to Augmented Analytics:
- Machine Learning
- Robotic Process Automation
- Business Intelligence
- Prescriptive Analytics and Modeling
- Neural Networks
- Natural Language Processing
- Data Engineering
- Data Governance
Integrate Your Most Important Data Into One View
IntelliDyne’s proprietary solution DashBlox IPA® seamlessly bridges all of your data sources to enable you to deliver positive results, communicate progress, and increase transparency and accountability.
Phil Vincenzes
Chief Analytics Officer
Phil Vincenzes is IntelliDyne’s Chief Analytics Officer, spearheading initiatives to deliver visually-compelling, knowledge-based solutions using advanced analytics to exploit information and reveal actionable intelligence and insights. Contact us to learn more.
Phil Vincenzes
Chief Analytics Officer
Phil Vincenzes is IntelliDyne’s Chief Analytics Officer, spearheading initiatives to deliver visually-compelling, knowledge-based solutions using advanced analytics to exploit information and reveal actionable intelligence and insights. Contact us to learn more.