Unlock Business Insights and Predict Future Performance
At Infohensive, we specialise in building meaningful reports, live dashboards, and various data visualisation techniques to help you understand your business performance.
Our advanced data analysis capabilities enable you to predict business and customer performance through Supervised and Unsupervised Machine Learning, Artificial Intelligence (AI), and Deep Learning technologies.
We measure and evaluate the effectiveness of your marketing campaigns and loyalty programs using the latest machine-learning algorithms, attribution models, and econometric modelling techniques. Gain actionable insights and drive growth with our comprehensive data analytics solutions.
Data Analytics
Data Analytics Training
Use Cases
Data Analytics Services
Reporting, Dashboards and Visualisations
We specialise in creating meaningful reports, live dashboards, and various data visualisations to meet your business needs.
Starting from core business KPIs to in-depth performance metrics, we develop the essential reporting structures to ensure each team in your organisation receives relevant data in the most impactful format. Improve your data-driven decision-making with our expert reporting, dashboards, and visualisation services.
KPI Scorecards
✦ Focused Tracking:
Highlight key performance indicators, aligning team efforts with strategic goals
✦ Real-time Monitoring:
Enable immediate corrective actions with up-to-date data.
✦ Informed Decisions:
Facilitate better decision-making with accurate and current metrics
Dashboards
✦ Centralised Data:
Aggregate data from various sources for easy access.
✦ Visual Insights:
Use charts and graphs to simplify data interpretation.
✦ Customizable Views:
Tailor dashboards to user-specific needs for relevant information.
Business Intelligence Reports
✦ Detailed Analysis:
Provide in-depth examination of business operations.
✦ Forecasting:
Use historical data to predict future trends.
✦ Benchmarking:
Compare performance against standards or past data.
Performance Reports
✦ Regular Reviews:
Track progress consistently over time.
✦ Accountability:
Promote transparency and responsibility within the organisation.
✦ Identify Areas:
Highlight strengths and weaknesses for targeted improvements.
Customer Segmentation & Profiling
Whether you have a hundred customers or hundreds of millions, we specialise in analysing your data to provide customer segmentation and profiling solutions that drive growth, retention, and loyalty.
We are experts in all types of customer segmentation and profiling, utilising both supervised and unsupervised machine learning technologies. Our proprietary methodologies ensure we deliver a customised segmentation solution tailored to your business needs.
Boost your marketing effectiveness and customer engagement with our advanced customer segmentation services.
Monetary
✦ Revenue Optimization:
Identify high-value customers to focus on for retention and upselling opportunities.
✦ Cost Management
Monitor spending patterns to control costs and maximise profit margins.
✦ Financial Health:
Assess financial performance to make informed budgeting and investment decisions.
RFM (Recency, Frequency, Monetary)
✦ Customer Segmentation:
Segment customers based on purchase behaviour for targeted marketing.
✦ Loyalty Programs:
Design loyalty programs that reward frequent and high-value customers.
✦ Churn Reduction:
Identify at-risk customers and implement retention strategies.
Product
✦ Product Development:
Use sales data to identify successful products and guide new product development.
✦ Inventory Management:
Optimise stock levels based on product performance and demand.
✦ Pricing Strategy:
Adjust prices based on product popularity and market trends.
Attitudinal
✦ Customer Satisfaction:
Gather feedback to understand customer preferences and improve satisfaction.
✦ Brand Loyalty:
Enhance brand loyalty by addressing customer attitudes and perceptions.
✦ Targeted Marketing:
Tailor marketing messages based on customer attitudes and values.
Transactional
✦ Sales Analysis:
Analyse transaction data to identify sales trends and opportunities.
✦ Customer Insights:
Understand purchasing behaviour to improve customer service and sales strategies.
✦ Operational Efficiency:
Streamline processes based on transaction patterns to improve efficiency.
Socio-Demographic
✦ Market Segmentation:
Segment the market based on demographics for more effective targeting.
✦ Personalized Marketing:
Create personalised marketing campaigns that resonate with specific demographic groups.
✦ Product Customization:
Develop products that cater to the needs and preferences of different demographic segments.
Behavioural
✦ Predictive Analysis:
Use behavioural data to predict future actions and trends.
✦ Customer Experience:
Enhance the customer experience by understanding and anticipating behaviour.
✦ Marketing Strategies:
Develop marketing strategies based on observed customer behaviours.
Store
✦ Layout Optimization:
Optimise store layouts based on traffic patterns to enhance the shopping experience.
✦ Staff Allocation:
Allocate staff efficiently based on store activity levels.
✦ Sales Performance:
Identify underserved areas for potential market expansion.
Technographic
✦ Tech Adoption:
Understand customer technology used to enhance digital marketing and product offerings.
✦ Platform Optimization:
Optimise platforms and channels based on customer technology preferences.
✦ Innovation Opportunities:
Identify opportunities for technological innovation based on customer tech habits.
Predictive & Machine Learning Models
We utilise standard and proprietary predictive and machine learning algorithms to build advanced AI models that help your organisation understand future business performance and customer behaviour.
Our data scientists apply their expertise in advanced mathematics, statistics, predictive and prescriptive analytics, machine learning, deep learning, computer vision, and natural language processing (NLP) techniques. We provide real-time models and insights that deliver significant commercial advantages to your company.
Unlock your business potential with our predictive and machine learning models and gain a competitive edge with data-driven insights.
Cross Sell Model
✦ Increased Revenue:
Suggest complementary products to existing customers, boosting overall sales.
✦ Enhanced Customer Value:
Improve customer lifetime value by offering additional relevant products.
✦ Customer Retention:
Strengthen customer relationships by meeting more of their needs.
Up Sell Model
✦ Higher Sales Per Transaction:
Encourage customers to purchase more expensive items or add-ons, increasing average order value.
✦ Product Awareness:
Make customers aware of higher-end products and features they might not have considered.
✦ Improved Profit Margins:
Focus on higher-margin products to enhance profitability.
Next Best Action
✦ Next Best Action
Offer tailored recommendations based on customer behaviour and preferences.
✦ Increased Conversion Rates:
Present the most relevant actions to customers, increasing the likelihood of conversion.
✦ Enhanced Customer Experience:
Improve customer satisfaction by providing timely and relevant interactions.
Pricing Models
✦ Optimised Revenue:
Implement dynamic pricing to maximise revenue based on demand and market conditions.
✦ Competitive Advantage:
Stay competitive by adjusting prices in real-time to reflect market trends.
✦ Customer Segmentation:
Use price discrimination to target different customer segments effectively.
Churn Model
✦ Retention Strategies:
Identify at-risk customers and implement targeted retention campaigns.
✦ Customer Loyalty:
Increase customer loyalty by addressing issues that lead to churn.
✦ Cost Savings:
Reduce the cost of acquiring new customers by retaining existing ones.
Basket Analysis
✦ Product Placement:
Optimise product placement based on items frequently bought together.
✦ Promotional Strategies:
Develop effective promotions and discounts for commonly grouped products.
✦ Inventory Management:
Improve inventory planning by understanding product relationships.
Propensity to Pay/Subscribe
✦ Targeted Marketing:
Focus marketing efforts on customers most likely to pay or subscribe.
✦ Revenue Forecasting:
Predict and plan future revenue streams based on customer propensity data.
✦ Product Development:
Tailor products and services to meet the needs of customers most likely to pay.
Recommendation Engine
✦ Personalised Recommendations:
Increase sales by suggesting products that align with customer preferences.
✦ Customer Engagement:
Enhance customer engagement by providing relevant and timely recommendations.
✦ Increased Conversion:
Boost conversion rates with personalised product suggestions.
Propensity to Visit Model
✦ Targeted Campaigns:
Focus promotional efforts on customers most likely to visit, increasing foot traffic.
✦ Operational Planning:
Plan staffing and resources based on predicted customer visits.
✦ Customer Retention:
Encourage repeat visits by understanding and acting on customer visit patterns.
Anomaly Detection
✦ Fraud Prevention:
Detect and address fraudulent activities early, minimising losses.
✦ Quality Control:
Identify and rectify anomalies in product quality and production processes.
✦ Operational Efficiency:
Monitor for irregularities in business operations, ensuring smooth performance.
Marketing & Loyalty Analytics
We specialise in analysing your marketing and loyalty program activities using machine learning, attribution modelling, and econometric analysis. Our services provide insights into both short-term and long-term effectiveness, as well as ROI measurement.
Utilising advanced techniques, we can identify prospective customers based on current high-value customers and determine the optimal channels to reach them.
We also analyse data from various rating systems including TV, radio, newspapers, and more to enhance your marketing strategies.
Customer Selection Lists
✦ Targeted Marketing:
Improve the effectiveness of marketing campaigns by targeting the right customer segments.
✦ Higher Conversion Rates:
Increase the likelihood of conversions by focusing on customers who are more likely to respond positively.
✦ Cost Efficiency:
Reduce marketing costs by avoiding broad, untargeted campaigns and concentrating efforts on high-potential customers.
Campaign Performance Reports
✦ Performance Tracking:
Monitor the success of marketing campaigns, identifying what works and what doesn’t.
✦ Informed Adjustments:
Make data-driven adjustments to campaigns in real-time to improve outcomes.
✦ Resource Allocation:
Allocate resources to the most effective campaigns, maximising return on investment.
A/B Testing
✦ Optimization of Campaigns:
Test different versions of a campaign to determine which performs better and refine strategies accordingly.
✦ Customer Insights:
Gain insights into customer preferences and behaviours by analysing test results.
✦ Risk Reduction:
Minimise the risk of campaign failures by validating strategies before full-scale implementation.
ROI Analysis
✦ Investment Effectiveness:
Measure the return on investment for various initiatives to understand their financial impact.
✦ Strategic Decision-Making:
Make informed decisions on where to allocate budget based on ROI data.
✦ Performance Benchmarking:
Benchmark the performance of different campaigns or projects to identify the most profitable ones.
Insight Analysis
✦ Deep Understanding:
Gain a comprehensive understanding of customer behaviour, market trends, and business operations.
✦ Informed Strategies:
Develop strategies based on insights derived from thorough analysis, leading to more effective actions.
✦ Problem Identification:
Identify underlying issues affecting performance and address them proactively.
Attribution Models
✦ Channel Effectiveness:
Determine which marketing channels contribute most to conversions and allocate budget accordingly.
✦ Customer Journey Insights:
Understand the customer journey and the impact of each touchpoint on the conversion process.
✦ Improved ROI:
Optimise marketing spend by focusing on the most influential channels, leading to better overall ROI.
