Advanced Analytics

Advanced analytics is a broad category of inquiry that can be used to help drive changes and improvements in business practices.

While the traditional analytical tools that comprise basic business intelligence (BI) examine historical data, tools for advanced analytics focus on forecasting future events and behaviors, enabling businesses to conduct what-if analyses to predict the effects of potential changes in business strategies.

Data Mining

Discover the structured or unstructured patterns in your data sets with the power of machine learning, statistics, and database systems. Detect abnormalities, find associations, classify and summarize to generate deeper insights with Smart Dashboards.

Advanced analytics techniques

The advanced analytics process involves mathematical approaches to interpreting data. Classical statistical methods, as well as newer, more machine-driven techniques, such as deep learning, are used to identify patterns, correlations and groupings in data sets. Based on these, users can make a prediction about future behavior, whether it is which group of web users is most likely to engage with an online ad or profit growth over the next quarter.

Predictive and Prescriptive Analytics

Predict outcomes of future to identify the risks and opportunities with the use of graphical models such as comparison or Analytic Dashboards and Linear regression models, or time series models.

Detect Malpractices, Improve marketing RoI, Sales forecasting and prioritize on customers likely to close. Artificial Intelligence and Machine Learning improves the accuracy in getting on to a decision which ought to be tough task by traditional techniques, but with advanced optimization and simulation of Prescriptive data available through Analytics, users get the clear answers of what to do next.

Team Beryl has all the expertise in delivering Advanced Analytics Solutions globally with respect to Data Mining, Data Restructuring and Analytics.