Advanced Analytics is the use of complex methods and mechanisms to predict results, reveal meaningful insights, and inform decision-making. This process studies content and data semi-autonomously or autonomously, using pattern recognition to surpass the means of conventional business intelligence (BI) technologies.
Sentiment analysis, forecasting, graph analysis, multivariate statistics, semantic analysis, simulation, visualization, machine learning, neural networks, pattern matching, complex event processing, network/cluster analysis, and data/text mining are key methods used in advanced analytics. Through these strategies, this solution leverages algorithms and formulas to determine the probabilities of future outcomes.
Data management @ scale
We capture and store your data, both structured and unstructured, in its original formats. By maintaining native formats, we allow your employees and users to adapt the data as desired, while reducing inconsistencies and conflicting interpretations.
Our predictive analytical models detect patterns and predict future trends, directly derived from your customers’ behavior to power actionable insights.
Digital experience analytics
Create a carefully shaped Digital Experience through our analytics guide. This system tracks and measures key data from the customer journey enabling sound marketing investments.
Data visualization & measurement
Communicate relevant business information clearly and efficiently through patterns, trends, and correlations. Infuse your decision-making with evidence-based clarity and speed. Put curated, customized data to work for you so you can shift from reactivity to proactivity.