Why are Data Science Services Crucial for Organizations?
As data-driven decision making is becoming the new normal for modern-day businesses, data science along with enabling technologies such as AI, ML, etc., has become indispensable for companies to eliminatedata clutterand extract valuable business insights from big data.
SG Analytics is a leading data science consultancy firm in the UK,providingdata science consulting and data analytics services to help companies get a better idea of markets, customers, competitors, products/services. Our data science services empower companies with contextual insights to make smarter decisions, drive business value and outcomes, and predict future events.
Robust tools and techniques to equip companies with intelligent data forecasting to embrace digital transformation across their organization
Intelligent forecasting services that help to decide in advance best-suitable course of action to foster business growth
Optimize planning and gain a competitive advantage using knowledge-based techniques and data-driven decision support system
Purpose-built forecasting models to help make better and more confident managerial decisions about material, personnel, sales, or any other requirements
Identify actual drivers of business values – internal and external, to improve accuracy in financial forecasting and meet business goals
Set data-driven financial targets and build strategic pricing models
Text analytics solutions to extract meaningful information hidden in emails, social media posts, online reviews, survey results, feedback, etc. and optimize products and services to meet customer expectations
Procure actionable consumer insights: Enterprise-scale text analytics services to uncover hidden meanings, patterns, and themes behind text data to deeply understand customer behaviours, preferences, and expectations.
Enrich your content: Increase findability and make your content more actionable
Text analytics services: Transform unstructured data into valuable information by applying sentiment analysis, text classification, document classification, entity extraction, themes discovery, etc.
Leverage the potential of AI with NLP and NLG to construct an engine that can garner thousands of text data sets and produce easy-to-understand summaries from the data
Leverage the capabilities of prescriptive analytics to resolve complex business problems, find the best-suitable solution (highest ROI or lowest spend) for any given business problem within of a well-defined set of constraints
Include forecasts/predictions input variables – both known and unknown, with defined constraints & objectives and optimization algorithms and solvers to find the appropriate solution for the objective
What-if simulators to perform comparative scenario analysis to select the most-effective solution that outperforms all other in a list of many possible business scenarios
Resource optimization to streamline resources (people, raw material, equipment, financial) and improve the efficiency of a process
Optimise your existing optimisation systems with ML to derive the best course of action
Improve accuracy of estimates by including ML-driven probabilities and predictions to formulate a new plan and sustain change
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