What We Do

Social media analytics (SMA) is a method of gathering and analysing data from social media sites and blogs in order to make business decisions. This method goes beyond standard tracking or a simple study of retweets or ‘likes’ to create a more comprehensive understanding of the social consumer.
Emerging India Analytics uses advanced tools and techniques to harness the potential insights social media data can offer.

Social Media Intelligence
Social Media Monitoring
Social Competitive Analysis
Image Analytics
Social Media Sentiment Analysis
Customer experience

Targeting the right customers, increasing revenue, and enhancing brand awareness all need sales and marketing analytics. Salespeople, on the other hand, are often hampered by time-consuming encounters, which can stifle their ability to generate more revenue.

Data analysis provides marketing professionals with the information they need to determine which marketing campaigns are most appropriate for particular groups of customers. Big data gives marketers the opportunity to understand how different demographics react to different types of ads or to use consumer analytics to map how product desirability varies depending on context and setting.

How data analytics are used in sales is inextricably linked to how they are used in marketing. Data offers insight into pricing strategies, consumer responsiveness, public interaction with the brand, sales lead efficiency, win rates, and product loyalty over time, to name a few. The full potential of data analytics has yet to be realised; every day, sales professionals face new challenges.

Emerging India Analytics uses advanced analytics and machine learning to predict the most valuable sales and marketing opportunities for revenue growth, cut operating costs, and make better decisions faster, all of which can increase sales and marketing
efficiency significantly.

Profitability analytics
Cross-sell, Up-sell
Attrition models
Customer profitability analytics
Campaign analytics
Customer analytics
Buying behavior

There are now a plethora of data sources available to direct decision-making and drive organisational progress, thanks to technological advancements and cloud computing. HR teams must have strong analytical skills to collect the right kind of data; high-performing HR teams understand that their function is to use data as a “decision science” by identifying indicators and data sources that provide organisational insights.

We at Emerging India Analytics will help you to explore the state-of-the-art techniques used to recruit and retain great people, and demonstrate how these techniques can be used at your organization.

People Analytics
Organizational Analysis
Gender Analytics
Turnover Analytics
Recruitment Analytics
Predictive models for attrition
Job offer renege
Performance improvements
Talent management and compensation analytics

The insurance industry is currently highly regulated and competitive. In return for the danger that insurers carry on their books, consumers pay premiums to get insured. For a long time, mathematical and statistical approaches have been used to accurately price the risk in pricing and underwriting (actuarial science). The need for differentiation has become more urgent as the digital consumer’s preferences, technological advances, evolving demographics, and highly volatile catastrophic and dangerous events have all increased.Insurance firms, like the retail and telecom industries before them, are moving from a “product-centric” to a “customer-focused” approach. Furthermore, since the internet’s inception, the exponential growth of various types of data has left many businesses feeling “highly rich in data, but extremely low in derived value.”

We at Emerging India Analytics will cater all your needs in understanding applications of analytical techniques and leveraging new technologies and techniques to sustain competitive advantage.

Fraud detection and prediction
Risk analytics
Customer segmentation analytics

Apart from consolidated data such as information logged by digital devices, unstructured data, which includes information from customer calls, emails, and social media feeds, makes up approximately 80% of data kept by a company.
The computer engineering, data visualisation, and data sciences elements of our support stack are used to uncover hidden trends when analysing vast swaths of unstructured data to obtain deeper insights into customer behaviour. We assist executives in making better decisions by incorporating these experiences into consumer engagement, customer support, and product creation strategies.

Big Data management
Insights from unstructured data
PDF data extraction
Narrative science and Text analytics

With our AI consulting, you can empower your company today and apply Artificial Intelligence models tailored to your industry, whether it’s healthcare, advertising, capital markets, or some other niche. We bring your entire company pipeline to a point where intelligent technology improves the productivity of your main functions with AI implementation.

Implementing solutions and automation using ML and AI for different domains
Predictive Modelling
Data Collection & Exploration
Model Development
Full-stack application development