CEQUITY ANALYTICS.
Data-led decision making for your business.
Insights are magical.
They make cold, hard data come alive when statistical techniques throw light on behaviours and emotions of people.
Yet, ask any CXO, who has led an analytics initiative in his/her organisation and he/she will tell you how frustrating and difficult it is to drive analytics-led, organisation-wide change that results in business outcomes.
Over a decade of working with leading companies across sectors, Hansa Cequity has been involved in creating an analytics-led culture across organisations. Starting out with simple descriptive analytics projects and moving on to prescriptive and predictive programs, today our services are sought after by clients who are setting up Analytics Centres of Excellence (CoE).
The breadth of use cases available at Hansa Cequity ensures that our analysts bring in a broad spectrum of techniques and cross-category experience to look at business problems.
We blend third party data, behavioral data with demographics, and transactional data to examine the “WHAT” and “HOW” to arrive at the “WHY” of customer behaviour resulting in completely transformed marketing campaigns and personalized recommendations. Additionally, we leverage publicly available government data as a catalyst – judiciously using location/pin code wise population, gender ratio, literacy rate, internet/telecom penetration, industrial development to ensure better decision making and business expansion.
We encourage our team members to experiment with multiple analytical techniques to find the best approach to derive insights from data. With proprietary analytics platforms and solutions, we have been able to help clients improve their revenue or save costs across their customer and business value chain.
With our ActionableAnalytics™ framework, our analytics solutions have made a difference.
KEY OFFERINGS
Customer Loyalty Analytics
Acquisition
Lead Scoring
Prospect Onboarding
Campaign/Channel Response Model
Intensification
Customer Segmentation & Profiling
Customer 360 View
Cross-Sell / Up-Sell propensity models
Next Best Offer/Product Recommendation
CLTV @ Onboarding, Past & Future
Survey Analytics
Retention / Reactivation
Churn Model
Reactivation (Win-back) Analytics
Customer Loyalty Index
Marketing Analytics
Market Mix Modelling
Multi-Touch Attribution (Acquisition & Engagement)
Product Recommendation
Channel Preference
Personalization
Risk Analytics
Credit Worthiness (Application & Behavioral Scorecard)
Delinquency Models (Collection Scorecard
HR Analytics (Insurance)
Agent Attrition Model
Agent Productivity Analysis
Agent Rehiring Model
Recruitment Scorecard
Operation Analytics
Contact Center Analytics
Revenue Forecasting
VOC Analysis (Sentiment Analysis)
Persistency Models (Insurance)
Revival Models (Insurance)
Surrender Models (Insurance)
Win-back Models (Insurance)
Early Claim / Fraud Analytics (Insurance)
Enquire Now
Discover Leading thinking in Analytics
The Hansa Cequity Consumer Consumption Insights
Discover key takeaways on consumption patterns across Indian households. With insights from a consumer confidence survey in the context of economic growth.
Customer Segmentation
Done Right
Uncover the phases of development of customer segmentation, from planning to implementation stage with various illustrations and a segmentation matrix.
Getting the Analytics
Journey Right
The difference between the classical Information Technology (IT) and Business Technology (BT). While IT is technology-centric, BT is all about the customer.
Inside and Beyond Customer Lifetime Value
How firms can use CLTV to identify their most valuable customers and decide where to direct the customer investments and customer management resources.
Lead Scoring and
Nurturing Models
By using advanced analytics, sales and marketing teams can tag leads by their propensity to convert, thereby making marketing investments more efficient.
Transforming Loyalty
with Analytics
The role of loyalty programs have shifted from their ability to attract new customers, to generating revenue and increasing customer satisfaction with existing ones.