With the techniques like data mining, statistical algorithms, modelling, machine learning, and artificial intelligence, we identify the likelihood of future outcomes basis the historical and existing data lying in your data warehouse. We help you understand beyond what has already happened and provided the best assessment of what will happen in the future? We build and deploy predictive modelling directly into your business processes using our multi-faceted predictive analytics capabilities in a single solution. We amplify your analytics without losing control with R, Python, and more.
Sentimental Analysis, also known as Opinion Mining, helps you analyse the sentiments, opinions, feedback of your audience. A rightly done Sentimental Analysis lets you know if there has been a change in public opinion towards any aspect of your business. A regular review of public opinion towards your business empowers you to take more proactive efforts to the changing dynamics in the market place.
Our algorithm-based sentiment analysis tools can handle huge volumes of customer feedback consistently and accurately. We also pair text analytics with sentiment analysis to reveal customer's opinion about topics ranging from your products and services to your location, advertisements, or even your competitors. We configure our Sentiment analysis tools over a range of data sources like social media, website, call center agents, etc to uncover the complete feelings of a customer.
The objective is to make results more clear, interpretable, and actionable. In the meantime, we also ensure to make the sentimental analysis as accurate and easy to understand as possible. We evaluate written or spoken language to determine if the expression is favorable, unfavorable, or neutral and to what degree and score it on a 10-point scale. Scores are given after a detailed analysis of grammar, context, industry, and source. The peaks and valleys in sentiment scores will put you in a position where you can make decisions about product improvements, train sales or customer care agents, or create new marketing campaigns.
Behavioral Analytics is important for finding why people behave the way they do when using e-commerce platforms, social media sites, online games, and any other web application. We help you get a clearer picture of user behavior using Splunk, a key User Behaviour Analytics platform that helps understand the interactions and dynamics between processes, machines, and equipment which may yield new deductions about operational risks and opportunities. Organizations benefit from Splunk UBA as it determines a baseline of normal activities specific to the organization and its individual users along with the deviations from normal using big data and machine learning algorithms to assess these deviations in near-real-time.
Our analytics experts use various open source platforms that give powerful machine-learning framework, customization ability, and breadth of use cases to help organizations automate the detection of known, unknown, and hidden threats. Our experts also address the entire lifecycle of an attack including insider threats and external attacks and provides customers with the ability to detect, respond and contain threats using Splunk Enterprise Security.
Key platforms used for User Behavior Analytics are
A picture is worth a thousand or even millions of variables! Especially when you're trying to find relationships or identify new patterns in your data. We facilitate interactive data visualization, so that you can interact with the data you see . Regardless of industry or size, all types of businesses are using data visualization to help make sense of their data and identify areas that need attention or improvement.
