HyperGraf®

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.

What is HyperGraf?

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.

How does HyperGraf work?

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 Brochure

Core functionalities of HyperGraf

HyperGraf is a comprehensive, feature-rich business intelligence and analytics tool. Its functionalities can be classified under six major categories:

Omni-channel intelligence

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

Enterprise risk intelligence

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.

Geospatial and location analysis

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.

Customer 360°

HyperGraf’s enhanced customer profiling module assists you to create hyper-personalized experiences for your customers and create tailor-made digital campaigns.

Lead generation

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.

Enterprise brand intelligence

With HyperGraf, you can organize and execute effective social media campaigns as it aids you in identifying and connecting with brand advocates and detractors.

Industry specific functionalities of HyperGraf
Robo-advisor for Banking & Capital Markets

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.

Brand Campaign Velocity measurement for Retail & FMCG

Velocity is a measure of how quickly the information is spreading. Velocity measurements are very useful, especially when there is a targeted marketing campaign.

Risk Monitoring for Global Supply Chains

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.

Loss Control Automation for Insurance

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.

HyperGraf® Use-Cases and Benefits

Insurance/Financial Services

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.

Enterprise challanges
  • Identifying the potential prospects for an Insurance company's product portfolio in B2C and B2B scenarios
  • Providing an Omni-channel view of current customers for better customer service and sales opportunities
  • Identifying the right products for the right users
HyperGraf Solution
  • Identifies and Integrates data from multiple data sources ranging from Enterprise, Financial, Competitor and Social Data
  • Builds a 360 view of your customers
  • Identifies customers with high insurance, credit and CLTV scores
  • Identifies cross-sell opportunities by using appropriate machine learning techniques for customers
  • Runs recommendation algorithms to identify the right set of products for the customer
Outcome
  • Increase in revenue through increased wallet share and customer lifetime value
  • Decrease in acquisition costs with minimum spend in marketing Delivery through the delivery of right opportunities to the right customers at the right cost resulting in better brand value and customer reach
  • Better customer satisfaction results


HyperGraf® Use-Cases and Benefits

Retail

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.

Enterprise challanges
  • Identifying the right sales strategies for client’s product portfolio taking into account the store location, customer demographic, promotions run etc.
  • Identifying the right product combinations to boost the product sales through offers and discounts
  • Increasing brand promotion effectiveness on social media channels
HyperGraf Solution
  • Integrates social, POS, customer, store and call center data
  • Identifies the top stores, customers, sales channels and products
  • Runs appropriate algorithms like market basket analysis on the POS data to identify the optimal product combinations for an increase in sales through offers and discounts
  • Identifies brand influencers and detractors using social data using our proprietary Social Network Analysis algorithms
Outcome
  • More relevant product placement, sales and promotion strategies
  • Adoption of best business practices across stores by identifying the misfits in the system
  • Better utilization of social media budgets by targeting right actors in the right channels for brand promotion
  • Analyze customer social and geo-location data in real time and provide guidance to the nearest store or the right customer representative





HyperGraf® Use-Cases and Benefits

Campaign Analytics

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.

Enterprise challanges
  • Identifying the most relevant digital engagement channels and current topics
  • Gaining Insights into own and competitors brand value and perceptions
  • Identifying of right influencers to market new products, increase brand awareness and brand value on digital channels
  • Identifying the locations of prospective customers to serve the customer most efficiently through appropriate sales and delivery network locations
HyperGraf Solution
  • Collects data from Blogs and social media channels like Twitter for the campaign
  • Applies geo-location analytics to identify the clusters and areas of maximum interest and gaps in delivery network
  • Uses natural language processing algorithms to identify the trending topics In the industry
  • Identifies mind share and sentiment of the different brands on multiple channels
  • Uses proprietary social network analysis algorithms to identify the right brand promoters on digital channels
Outcome
  • Benchmark brand awareness and brand value in the industry
  • Insights into market advantage/disadvantage in relation to the competition
  • More effective campaigns through better customer reach using network analysis algorithms
  • Identify influencers, advocates and detractors of the campaigns


HyperGraf® Use-Cases and Benefits

Operational Analytics

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.

Enterprise challanges
  • Ad-hoc reports and lack of visibility into all aspects of the operations
  • Creating scalable architecture that can be used across multiple Line of businesses with minimal changes involved
  • Availability of easy to use statistical modelling and data visualization tools and techniques
  • Real time data and analytics insights for operational decision support
  • Improving resource utilization and capacity planning
HyperGraf Solution
  • Integrates data from document management systems and error databases
  • Automates the reporting function by replacing the current error prone and time consuming excel based system with user friendly integrated BI views
  • Reduces manual intervention by automating the ETL function and reading and tracking productivity data from the workflow applications
  • Displays KPIs for LOBs on a single screen
  • Uses Time-Series Modeling for forecasting arrival volume, trends, NIGO and resource optimization
  • Utilizes proprietary NLP algorithms for E-Mail, call log and complaint log analysis to reduce time taken in solving frequent operational issues
Outcome
  • Automation of reporting system to reduce latency, consolidation of data, manual errors and provide an interactive, near real time and user friendly decision support system
  • Improved resource forecasting and capacity planning
  • Better user experience and enhanced decision making utilizing easily accessible web based interactive dashboards for SLA and Trend reports


HyperGraf® Use-Cases and Benefits

Financial Services

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.

Enterprise challanges
  • Outdated and incomplete customers' demographic and behavioral data
  • Insufficient representation of social and public data in decision making
  • Data Analytics team working in silos and presenting an incomplete picture about customers' wants and needs
HyperGraf Solution
  • Utilizes enterprise, social, real estate, salary and job related data to zero in on customers’ current debt servicing capability
  • Collects customer related 3rd party data specific to latest salary, job and real estate
  • Calculates probability of attrition to identify risky customers and predict customer churn through customer segmentation and customer 360 profiles
  • Provides ability to segment customers into those having a high chance of refinance, having high customer LTV, having fair to excellent credit score and those who have already applied for Refinance and target these customers accordingly
  • Captures insights from multiple customer interaction channels through NLP and SNA
Outcome
  • Prediction of customer churn for high LTV customers for risk hedging, brand value management, better top and bottom line
  • Better customer service by real time analysis of social and complaint data