Descriptive Analytics and Data Visualization: Descriptive analytics is very often the first step in data analysis. The goal of descriptive analytics is to find out what happened. However descriptive analysis is also very often used to conduct more complex analyses that layer domain inputs and context to insights on top of data centric analysis. Our consultants bring decades of experience in deriving insights from data. We help our clients design, execute, maintain, and evolve critical analytical assets.
- Dashboards: Dashboards represent a very important piece of descriptive analysis. They come into play once analyses are adopted and standardized. The analyses are automated and moved to Dashboards for ready consumption. Pharos provides expertise for Dashboard implementation in Power BI, Cognos, Business Objects, Tableau, and Custom Dashboards using Python and .Net.
Predictive Analytics, Artificial Intelligence, and Machine Learning: Predictive analytics is the process of using data to forecast future outcomes. It is usually executed by organizations that are more advanced in their usage of analytics. The process of developing a predictive model can use neural networks, machine learning, artificial intelligence, and statistical models to find patterns that might predict future behavior. Organizations can use historic and current data to forecast trends and behaviors seconds, days, or years into the future with a great deal of precision.
Our champion data scientists can supercharge your predictive analytics progress card ensuring effective models that are sustainable and integrated.
Clients who have sizable data and data processing resources also leverage our expertise in TensorFlow and Keras to develop deep learning neural network solutions.
