Machine Learning & Advanced Analytics

Accelerate your analytic capabilities with machine learning and deep learning, to build better models, enable new use cases and provide deeper insights for mission-critical data products.

Harness Big Data potential to solve complex critical problems

Machine learning is taking a significant role in many big data initiatives today. Leading companies are using machine learning combined with predictive analytics to help them enhance consumer engagement and create more accurate demand forecasts as they expand into new sales channels like the omni-channel. Get breakthrough performance from predictive modeling and machine-learning capabilities built on your Data Lake, Cloud, or on-premise data infrastructure.  Learn from mining masses of big data without human intervention to provide unprecedented consumer demand insights.

Explore multiple approaches quickly to fine the optimal solution

The superior performance of a machine learning-based analytic engine in your data pipelines enable you to explore and compare multiple scenarios quickly and easily. Explore raw data with powerful pattern recognition capabilities, and test different scenarios in an integrated environment to identify the best-performing models that provide business analysts with deep, accurate insights.

  • Quickly interpret complex relationships or key variables that influence modeling outcomes within large data sets.
  • Filter observations and understand a variable’s level of influence on the overall model lift.
  • Use the most advanced techniques to detect rare events, outliers and/or influence points to help you determine, capture or remove them from downstream analysis (e.g., models).
  • Visualize model insights with dashboards and enterprise reports using bar charts, histograms, box plots, heat maps, bubble plots, geographic maps and more.
  • Derive predictive outputs or segmentations that can be used directly in other modeling, visualizations or analyst tasks.

Sample Industry Use Cases

Lead Text


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Retail & CPG

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Readmission Analysis

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Financial Services & Banking

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Focus on the needs of your business, we’ll help make it happen

With a long history of enabling enterprises to successfully adopt best-in-class data management strategy & technology, Systech now delivers a mature set of services to bring machine learning to the enterprise. With specialized technology expertise, Centers of Excellence training programs for the best-in-class technology platforms, and our customer-focused Professional Services and Support, Systech can help you successfully deploy your advanced analytics pipelines faster.

Data Manipulation and Management

Our data experts can help you accelerate your path to advanced analytics by designing and implementing cost-effective and powerful data architectures to support your analytic use case. From addressing key data management challenges with connectivity, visibility, scalability, governance and operational control, to the actual preparation of data for your business use case. This includes accessing data, joining tables, subsetting and filtering data, and optimizing your data stores for machine-learning projects.

Smart Data Discovery with modern statistical, data mining and machine-learning techniques

Systech can help you build or enhance your analytics solutions with advanced data discovery techniques that include powerful supervised- and unsupervised-learning algorithms, such as clustering, principal component analysis, linear and nonlinear regression, logistic regression, decision trees, random forests, gradient boosting, neural networks, and support vector machines.

Model Assessment and Scoring

We help you test different modeling approaches and compare results of multiple supervised-learning algorithms to identify champion models that  provide the most accurate results and faster, deeper insights. Detect rare events, outliers and learn how input variables affect the downstream analysis of your models.

adminMachine Learning & Advanced Analytics