Customer Lifecycle Models
Leverage analytics for an enriching experience across all stages of the customer journey
To thrive in a highly competitive environment, it is important for businesses to analyze and have a 360- degree view of their customers throughout their journey.
At R Systems, we work with our clients to help them build a highly sustainable Customer Lifecycle Models that provide insights and tools to deliver a personalized experience to their customers. Our offerings provide behavior and predictive analytics that help clients to maximize both value and revenue from their customers.
Our solutions help organizations to determine the value of their customer relationships by leveraging advanced data science.
- Identify Customer Lifecycle Value (CLV)
- Leverage Behavior Analytics for Effective Customer Acquisition Policies
- Build Behavior-Driven Customer Experience for Customer Retention
- Increase Customer Satisfaction Levels
- Offer Omni-Channel Experience
- Identify and Address Customer Pain Points
- Predict Customer Behavior
Maximize your ROI through Analytics Driven Marketing Models
Companies are increasingly expanding their digital footprints with diverse activities to tap the vast audiences across the globe. A marketing analytics approach is the key to driving growth and improve marketing ROI.
R Systems provides data-driven marketing strategy using advanced data science and analytics to meet your business goals of improved sales and ROI. Our advanced analytics coupled with our deep industry domain expertise and consultancy based approach can empower our clients to address the key challenges with the marketing mix and improve the overall marketing effectiveness.
- Build Customer Acquisition Models, Targeted Marketing Models, Propensity Models, Attribution Models & Pricing Models
- Predictive Analytics for Search Engine Marketing (SEM)
- Formulate Cross-Sell/ Upsell Models to Target Right Set of Customers
- Channel Analysis to Positively Influence Sales
- Build Product Recommendations Based on Customer Preferences
Deploy predictive analytics to achieve operational efficiency
The digital disruption in industry demands organizations to be highly innovative and to adapt to changes quickly and respond faster to ever-changing business needs. Organizations need to streamline operational processes to meet the customer demands and achieve an advanced level of operational excellence.
R Systems’ Operational Models enable clients to acquire accurate operational insights that can help them make an effective business decision in streamlining complex business processes. We use advanced data insights to help our clients in improving efficiency and effectiveness of operational processes to achieve business objectives effortlessly.
- Quality of Service Assessment
- Preventive Maintenance
- Demand Forecasting
- Capital and Human Resource Allocation
- Predictive Modelling
Fraud & Risk Models
Prevent, detect and manage fraud to make smarter decisions and drive business performance
The digital transformation has not only brought a plethora of opportunities for businesses but it has also made them vulnerable to greater instances of frauds and increased the risks involved. Formulating Risk and Fraud Models includes gathering and storing relevant data and mining the data to detect patterns, discrepancies, and anomalies to identify improper transactions.
We offer Fraud & Risk Models that harness the power of analytics and applies it to human interactions to trace any possibility of fraudulent activities. Our data scientists and consultants help organizations to adopt a fraud detection environment to prevent potential losses and minimize the risk involved.
- Detect Unauthorized Transactions
- Gather and Store Relevant Data to Obtain Specific Patterns, Discrepancies And Anomalies
- Identify Digital Fingerprints of a Fraud
- Harness Data to Determine Risk Scores
- Identify Fraud and Money Laundering Patterns
Custom Score Model Development
Customized predictive scores to evaluate KPI’s for business success
The combination of powerful analytics with scorecards yields unmatched business benefits whether it is implemented to measure performance against expectations, identifying the severity of risks, monitor financial performance indicators, for business intelligence or focusing on high priority objectives.
R Systems pioneers in design and implementation of customized scores for clients that are backed by predictive analytics. Our solution enables organizations to track progress towards their strategic goals and performance milestones. Our consultants have in-depth expertise in developing customized predictive scores for a plethora of use cases facilitated by latest advances in predictive modeling.
- Link and Integrate Multiple Data Resources to Support Custom Modeling Operations
- Combine Proprietary Databases as Needed
- Optimal Score Creation using Appropriate Supervised Learning Algorithms
- Score Usage Guidelines with Associated Chart/ Graphs
Unstructured Data Analysis
Gain actionable insights from highly complex unstructured data
The proliferation of smartphones and social media is rapidly increasing the growth of unstructured data. An unstructured form of data that is generated through various sources and channels encompasses different formats such as text, document, image and video etc. Most organizations across the globe rely on powerful analytics technique and tools to interpret and mine hidden insights from large volume of data.
Our unstructured data analytics solution allow enterprises to transform the unstructured form of data into meaningful insights that helps them to make strategic business decisions.
- Sentiment Analysis, Competitor Analysis, Log Analysis
- Transcribed Speech Analysis
- Analysis of Customer Notes
- Search Analysis
- Natural Language Processing (NLP)
- Survey Analytics to Gain Insights on Customer Perception
Customer Experience Models
Drive active customer engagements to induce brand loyalty
To drive positive customer engagements, it is utmost important for organizations to understand how customers experience their brands across all touchpoints. Customer insights allow organizations to craft consistent and personalized experience and drive revenues.
Our solution enables organizations to optimize customer experience and induce customer loyalty, adopt a customer centric approach and gain customer intelligence. Our expert team of consultants and data scientists provide specific customer experience models that are transparent and simple and help organizations to understand and manage customer engagements efficiently.
- Behavior modeling
- Net Promoter Score (NPS) Analysis
- Customer Support Analysis
- Call Center analysis
- Process improvements