The enormous amount of data generated across various channels in the organization is the hidden treasure which can help build customer focused strategies. One can never estimate the value it can deliver unless this data is churned to produce results.
This is where operational intelligence comes into the picture. Operational intelligence is derived from real-time dynamic data analysis to deliver insight into the data to produce intuitive results, to manage internal interactions and develop customer oriented business strategies.
Operational Intelligence refers to the use of dynamic business analytics that provide insights about the business processes that help the management in real time decision making. Every business needs to make tactical and strategic decisions from time to time and having operational intelligence in place can be game changing.
The key driver for organizations in service-based industry is customer interactions. The data patterns generated by ‘How, When and Why a customer interacts and tone of the interaction’ provide real insight into the future products & services to be offered and improve current customer satisfaction level.
This requires a multi-facet product to collect, correlate and predict the future conversations/issues driven by artificial intelligence algorithms. In our research at Aarav Solutions, to build & implement strong products for operational intelligence driven by AI we are working with some advance platforms like Froot.
The platform offers Reactive and Pro-active intelligence engine to reduce revenue leaks, detect problem centers and improve overall operational efficiency. The proactive & reactive methods of intelligence are driven based on the principles of Anomaly detection.
Anomaly detection techniques work on multi-dimensional, multi-layered data patterns to bring right benchmarking, detection and forecasting for possible issues. This makes it possible for a business to take the appropriate action in time to avoid losses and failures or to anticipate risks and opportunities using the data.
Let’s understand the approach to anomaly detection for operational intelligence, which is broadly divided into two ways –
The proactive method utilizes artificial intelligence to the fullest and is the new way of anomaly detection. Here’s how it works –
Advantages of the proactive intelligence method are –
This is the traditional approach, here’s how it works –
This is one of the tried and tested methods for anomaly detection and used by businesses across various industries.
Some of the advantages of the reactive intelligence include –
Aarav Solutions strives to deliver the latest in artificial intelligence and machine learning for their clients. Scalable and efficient anomaly detection systems are a necessity today. A system that uses artificial intelligence to connect metrics with business functions for enhanced efficiency. At Aarav Solutions we understand the importance of operational intelligence at every step for your business.
Aarav Solutions strives to provide businesses across the globe innovative technological solutions. We seek to transform and promote businesses by helping them choose from a wide range of high end technological solutions. Further, we aim to help businesses adapt to newer and more efficient ways of using technology by offering our technological expertise in consultation. We offer a wide range of Telecom Consultancy Services, Cyber Security Applications, Enterprise Solutions and integrated Software Products.
Froot Research is an award-winning, premier research and development startup focused on creating next generation intelligence models. At the foundation of our research are ideas taken from psychology, neuroscience, statistics and various other fields. Amalgamation of these ideas and our creative problem-solving approach has given birth to ground breaking, patent-pending intelligence models that are target-less and intuitive.