Data Science
Leverage Predictive Analytics for Greater Success with Data Science
Data science enables companies to extract maximum utilization and benefits from data to extract insights that help in business operations. Niograph Data Science consulting and business analytics solutions are designed to be robust and customized to leverage predictive analytics to deliver real-time insights, lower risks, and reduce customer churn. We help you solve data challenges, predict business demands, streamline supplies, and improve customer satisfaction.
Niograph delivers results with data science by combining Artificial Intelligence, Machine Learning and Deep Learning technologies to meet your unique needs. Facilitating accurate predictions help you plan better and improve low performances.
Our data science best practices support your decision making by providing you with suitable root-cause analysis, precise forecasting, and data-driven insights.
Data Science Services Use Cases
- Operational Intelligence – Optimization of process performances by detecting undesirable patterns and deviations
- Supply chain management – Streamlining supply chain management with accurate demand predictions, inventory recommendations, and risk assessments
- Product quality – Proactively promoting product quality and identifying possible disruptions for resolution
- Predictive maintenance – Predicting maintenance requirements with precise monitoring to prevent pre-failure and failure
- Dymanic route optimization – Using machine learning based recommendations to optimize delivery route for maximum results
- Customer experience personalization – Facilitating personalized customer experiences through customer segmentation and behavior analysis
- Customer churn – Analyzing customer behavior to identify and predict potential churners
- Sales process optimization – Enhancing the sales process with advanced scoring of leads and opportunities and suggesting recommendations
- Predictive maintenance – Predicting maintenance requirements with precise monitoring to prevent pre-failure and failure
- Image analysis – Automating visual inspections of images for recognition, counting, and grading, thereby minimizing human error
Our Data Science Services Include:
- Business needs analysis
- Data preparation
- Machine learning (ML) model design, development, and evaluation
- Converting data science into usable formats
- Training users and admin
- Support and consultations
Data Science Solution Implementation
- FOR IMPROVEMENT – Tactical and strategic guidance to overcome disruptions and challenges in data science projects
- FOR SUPPORT – Continued evaluation and support of your data science solutions to improve insights and adjust machine learning models to changing needs
- DATA SCIENCE AS A SERVICE (DSAAS) – Complete data science solutions for advanced data analytics and insights without spending on in-house competencies
Technologies we Use
Supervised learning algorithms, for example, logistic regression, linear regression, decision trees, support vector machines
Unsupervised learning algorithms, such as K-means clustering and hierarchical clustering
Reinforcement learning methods, for example, Q-learning, SARSA, and temporal differences method
Neural networks, including deep learning
Recurrent and convolutional neural networks
Generative adversarial networks (GANs), Deep Q-network (DQN)
//Get started to harness intelligence from data with Niograph Data Science Services