HyperGraf is an Omni-channel Digital 360° solution that transforms enterprise decision making by providing the most comprehensive, accurate, real-time and actionable Customer Engagement Insights across millions of data points spread over multiple customer engagement channels.
HyperGraf is a comprehensive, feature-rich business intelligence and analytics solution HyperGraf generates actionable insights by bridging the gap between enterprise data and external and third party data such as social media, credit scores, open data and other multi-media datasets. HyperGraf is cloud based, incorporates in-depth domain expertise, is flexible and customizable. HyperGraf is offered as a Platform as a service based low cost solution with no upfront investments and pay as you go based pricing. The base solution is a suite with key features, functionalities and algorithms. Custom features and algorithms can be built on top of this based on unique scenarios.
HyperGraf is a Big Data correlation engine that generates Customer 360° insights by correlating data from multiple internal and external customer touch points, as well as open data.
HyperGraf is a comprehensive, feature-rich business intelligence and analytics tool. Its functionalities can be classified under six major categories:
HyperGraf helps improve product targeting and feedback flow across channels by enabling you to identify key influencers and detractors and assigning channel specific NPS scores. HyperGraf uses advanced analytics methods including social network analytics, natural language processing, and predictive analytics to provide comprehensive, accurate and actionable insights across data silos
With HyperGraf, you can monitor, identify and respond to critical issues and product/service outages almost instantly, thereby helping you to safeguard organizational reputation and company goodwill. You can also monitor the emergence of risky sub-groups in your network.
HyperGraf’s location analytics algorithms empowers you with geospatial analytics and visualizations of your target audience across data-points such as customer demographics, lifestyle data, branch proximity analytics, social media concentration etc.
HyperGraf’s enhanced customer profiling module assists you to create hyper-personalized experiences for your customers and create tailor-made digital campaigns.
HyperGraf, with its intelligent scoring feature for leads, helps in identifying cross-selling and upselling opportunities thereby making it the perfect tool for sales alignment, and creation of tight marketing campaigns.
With HyperGraf, you can organize and execute effective social media campaigns as it aids you in identifying and connecting with brand advocates and detractors.
HyperGraf’s robo advisor analyses data from KYC records, investment questionnaire responses, life goals, psychographic profiling based on customer interaction data of the customer and customer groups as evolving graph structures based on life events driven social interactions over time.
Velocity is a measure of how quickly the information is spreading. Velocity measurements are very useful, especially when there is a targeted marketing campaign.
HyperGraf helps globally distributed organisations to monitor global risk patterns and understand what is happening around the world. Advanced risk alerts can be created in HyperGraf based on event evolution.
HyperGraf helps Insurers to monitor global event patterns and understand what is happening around the world. It enables real time engagement with customers before a loss event occur or during the loss event by providing personalized analysis of individual risk exposure of insured. It combines organizational and external data to generate insights and relevant recommendations.
Overview: Identify cross-sell and up-sell opportunities in Insurance Domain.
With the availability of customer data generated from multiple digital touch points, organizations are now poised better than ever to provide cross-sell (related products) and up-sell (higher value products) recommendations to their customers. Predictive analytics and machine learning driven cross-sell and up-sell opportunity identification can help organizations reduce acquisition costs, increase customer lifetime value, and increase wallet share. HyperGraf allows Insurance companies to gain significant insights and provide a customer 360 view by tapping into multiple data sources ranging from demographic, financial, insurance, competitor along with social data.
Overview: Improve decision making for retail chain operations by optimizing the merchandising, marketing and operation functions using Omni channel analytics.
Size of operations and convergence of technologies in the retail chain businesses today require multifaceted decision support systems which can generate insights from an aggregate as well as individual customer perspective. Assessing the promotion effectives, sales strategies, brand value, channel wise sales along with analysis of product placement and offers using POS data, helps in course correction and brings efficiency and innovation in operations.
Overview: Optimize digital campaigns by leveraging user generated content across multiple channels.
User generated content is a key source of information for all customers seeking to engage with organizations in the digital world. In this 'digital economy' it is imperative for organizations to optimize their marketing campaigns and promotions so that they resonate with the correct set of users in the content, commerce, and collaboration networks. Channels like Twitter, Facebook, Search Marketing, blogs etc. have become a critical component for these campaigns and provide a great opportunity for companies to expand their brand presence, increase their brand value and in turn generate higher revenues.
Overview: Automate the operations reporting system to help analyze operational data and KPIs in detail.
Managing day to day operations of businesses today has become a daunting task because of plethora of data generated, geographical spread of teams working in silos, and complexity of the information systems . These factors lead to underutilized resources, non-utilization of historical data for problem solving, and a multitude of ad-hoc reports being generated. Making appropriate data and insights available to the managers can lead to long term cost savings though more efficient allocation of resources.
Overview: To predict refinance churn to ensure customer retention and reduction in opportunity loss.
Frequently fluctuating global and regional economic cycles have made it difficult for banks and other financial services companies to design products and services that hedge the risk of default when economy takes a downturn. Long term loan products with fixed EMIs, for example, assume that the customer will have a constant availability of capital for payback even after owing to changes in economic environment and other personal obligations.
A refinancing solution is prudently utilized by the industry to hedge the risk of default along with retaining and increasing its customer base. Though a powerful tool, such a solution requires data from multiple channels to identify the right customers at the right time. Enterprise data available with the banks is generally outdated and generally completes the puzzle partially.