The innovative methods employed in data science, e.g., the use of sparsity in big data to recognize patterns in a vast collection of spurious correlations, makes it very different from traditional statistics.
Data science can track the behavioral patterns of consumers and help businesses provide personalized and exclusive offers to customers and display advertisements based on their preferences.
Algoscale uses sophisticated tools like customer analytics, natural language processing and pattern detection techniques to enable business predict the next best decision to make significant profits. The recommendation engines and predictive analytics built by us can help business make informed decisions about the growth.
Techniques
We build advanced recommendation engines, provide platforms for social media analysis including sentiment analysis, build predictive modeling systems using the Hadoop platform for big-data crunching and much more for businesses.
Our suite of Natural Language Processing tools are a great way to automate tasks which require handling mammoth levels of textual data and drawing inferences and where complete coverage of documents is essential to understand the complete context.
Techniques used are summarized as below
Solutions
We provide solutions that can handle textual data, use algorithm dealing with human language complexities, derive customer sub conscious preferences, predict future outcomes for better decision making. These solutions revolve around our three capabilities recommendation engine, predictive analytics and natural language processing.
Learn more about our individual capabilities
Our Success Story
Download
