Discover and leverage insights that drive business through extensive data science capabilities, and expedite growth
Predictive Analytics
Predictive Analytics
Machine Learning
Machine Learning
Forecasting
Forecasting
Text Analytics
Text Analytics
Optimization
Optimization
Harness The Power Of Data ScienceConsulting Services& Solutions
In this competitive world, businesses are driven by machine learning and data science to achieve competitive advantage and many-a-times formulate survival tactics. As businesses continue to adopt efficient competitive strategies to outrun their competition, two major features that lie at the core of this transition have been identified as enhancement of automation of data processes and delivery of instantaneous analytics solutions. SG Analytics’ data science consulting services enable our clients in the US frame complex business problems in terms of operations or machine learning research problems to discover advanced data science solutions. We specialize in helping businesses gain a strategic advantage by utilizing latest data technologies to solve business problems.
Why SGA
What We Do
Predictive Analytics
We help our clients in the US embrace digital transformation through predictive data analytics & automated learning services. We empower businesses to become proactive, future trends seeking, and expert in predicting outcome and behavior based on data with predictive analytics.
- Model building: Recognize patterns and predict outcomes with advanced and predictive analytics by combining complex statistical models, data mining techniques, and sophisticated machine learning tools
- Choice of models: Constantly striving to discover new ways to enhance predictions and extract the most actionable insights
- Customizable solutions: Advanced data analytics solutions tailored to align with clients’ specific demands and the nature of their data
- Scalable results: Progressive predictive analytics consulting solutions enable businesses to operationalize, helping in consistent business growth
Machine Learning
SG Analytics’ data science services help developing custom solutions based on open source or proprietary algorithms/frameworks that perform data processing and execute sophisticated algorithms on cloud and edge.
- Machine learning services: Use tools and technologies to build, train, validate, optimize, deploy, and test machine learning models
- Experience: Machine learning that is supervised/semi-supervised/unsupervised on structured and unstructured data
- ML deployment: Tools such as TensorBoard, What-If, ML Perf, TensorFlow Playground, etc. are used for model deployment and performance testing
- ML as a service (MLaaS): Amazon ML and Amazon SageMaker
- Development: Use frameworks such as TensorFlow, SparkML, and OpenCV and languages such as Python to build, train, optimize, and validate models
Forecasting
As one of the leading data science consulting firms, we enable our clients to leverage innovative tools and techniques by providing intelligent forecasting techniques that empower them to drive digital transformation in their organizations.
- Help companies with our intelligent forecasting services to adopt a well-defined course of action and set a goal that boosts the overall organization’s growth
- Re-invent planning to gain competitive advantage with knowledge‐based techniques, decision‐support, and accuracy
- Facilitate accurate managerial decisions on material, personnel, sales, and other requirements with our intelligent forecasting services. Leverage our logical basis for planning and determining in advance the nature of future business operations
- Discover the real internal and external drivers of business value, enhance budget, and forecast accuracy and confidence
- Connect business decisions with profitability and set data-driven financial targets with predictive modeling and external signals
Text Analytics
SG Analytics’ text analysis solutions help identify the value hidden in the text. Advanced data science services help identify and extract valuable information from online reviews, emails, survey results, tweets, notes from feedback forums, and other types of written feedback to devise meaningful insights for your customers and understand their feedback about your products or services.
- Gain consumer insights: Decipher the hidden meaning behind the text with our text analytics services. Helping organizations discover patterns and themes, enabling them to understand customer behavior, perceptions, their wants, and needs
- Content enrichment: Enhance content with our text analytics techniques. Enabling you with a scalable layer to tag, organize, and summarize the ready-to-use content for boosting the reach
- Text analytics services: Sentiment analysis, document classification, entity extraction, themes discovery, and text classification
- Aggregate and analyze hundreds of textual data records with an engine that is made by combining the power of artificial intelligence through NLP and NLG and create simple and easy-to-understand written summaries of the data
Optimization
Popularly known as prescriptive analytics, mathematical optimization is a very powerful technology that enables us to resolve complex business problems and plan puzzles. As a mathematical process, optimization is searching for the most appropriate decision (usually highest ROI or lowest spend) for a specific business problem that is defined within a set of constraints.
- Find the best solutions that maximize or minimize the objective by using optimization solvers and algorithms. For this, known and unknown (forecasts or predictions) input variables are taken, including defined constraints and objectives, keeping in mind business constraints
- Identify possible solutions that provide the best overall results from various solutions in a list by using ‘What if’ simulators, enabling the process of a comparative scenario analysis
- Optimize resources to enable resource usage at an optimal level (people, raw material, equipment, financial), which is required to produce a product or a service to improve operations
- Enhance existing optimization models with ML as one new input can help your optimal model derive the best plan
- Formulate a new plan and survive in a changing environment by improving estimates through assessment of machine learning-driven probabilities and predictions
