Intelligent Analytics
Data can offer tremendous insights into your business. Are you ready to unleash the power of your data with intelligent analytics?
- We can help you ask the right questions with data and even answer critical business questions with the help of your data. Whether you are just starting with BI and analytics or wish to move to the next phase with predictive analytics and advanced machine learning, we can help you make smarter decisions faster
- We offer robust and cost-effective solutions to transform your data into actionable insights. We provide solutions using tools of your choice. Our analytics solutions enable users to be able to easily connect business processes with self-service capability tools allowing you to get started on Day 1
- We also offer advanced machine-learning solutions using classifications, decision trees, statistical analysis, and deep learning to help organizations unlock the predictive power of data
Our Intelligent Analytics Approach
We begin with a business intelligence vision and strategy, whether you need help starting or implementing an existing plan. Our use case-based approach starts with assessing your current state, identifying gaps, and providing recommendations.
We align analytics with business requirements, streamline access to multiple data sources, and prioritize your needs. Our machine learning experts can assist with creating ML pipelines, feature engineering, vectorization, and hyperparameter tuning to improve model performance.
Our goal is to automate processes throughout the data lifecycle and establish governance for your analytics solutions. We support major BI tools like Sisense, Tableau, Power BI, Google Data Studio, Looker, Amazon QuickSight, Amazon Athena, Oracle Analytics Cloud, OBIEE, and ThoughtSpot.
Our Expertise
We excel in using open-source tools such as Python, Jupyter, and R, as well as a wide range of libraries including TensorFlow, Keras, H2O, PyTorch, scikit-learn, and NLTK. Our experience covers a broad spectrum of algorithms, including linear and logistic regression, support vector machines (SVM), Naive Bayes classifiers, gradient boosting, k-means clustering, KNN, artificial neural networks (ANN), recurrent neural networks (RNN), and convolutional neural networks (CNN)
Contact Us Today to Discuss Your Intelligent Analytics Needs
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