We make things simpler for you by providing plug and play departmental analytics solutions to provide the most from data to the business. Our experience with many functional departments across industries through BI Implementation and Support over the past 10 years has allowed us to grow our understanding of business goals, best data analytics practices, and information consumption.
A data-driven marketing team has an edge over teams without the facts. Customer intelligence and campaign performance are the focus here.
- Single View of Customer
- Campaign Metrics
- Channel Performance
- Social Brand Perception
- Sales Conversions
Cubot BI sales analytics gives clarity on targets, sales force performance, and comparison with market performance.
- Sales team target performance
- Lead Conversion Ratios
- Location Intelligence
- Product Trends
- Historical & Forecasted Figures
CUBOT finance analytics provides finance teams and the CFO with sufficient insight into cost, revenue, budget and profit trends.
- P & L Ratios
- Budgeting Metrics
- Cash Flow & Forecasts
- Quartery Income Predictors
- Vendor & Other Settlements
Operations has been a consistent consumer of data. What we seek to do is give managers more intelligence from the same data.
- Efficiency Metrics
- ‘Fault’ Trends & ‘Repair’ Trends
- Location Intelligence
- Statutory Reports
- Cost Optimization Analytics
This is the area where your analytics can directly feed into how your customers interact with the company. Analytics helps your digital content feed.
- Single View of the Customer
- Efficiency Metrics
- Customer Sentiment
- Segment Views
- Channel Performance
Analytics helps refine product development with respect to packaging, pricing, and brand awareness. The data comes through internal systems and social media.
- Product Financial Performance
- Competitive benchmarking
- Product launch insights
- Feature Scoring
- Social Brand Health
Go with these solution packages to realise the true value of your data assets.
- Recency, Frequency, Value Scores
- Influential Customers
- Similar Customer Pools
- CLV
- Location & Temporal Profiles
- Survival Analysis
- Logistic Regression
- Historical event statistics
- Unusual activity alerts
- Alerts based on event probability scores
- Product Classification
- User-based Collaborative Filtering
- Product Based Collaborative Filtering
- Market Basket Analytics
- Location & Time-Based Rules
- Rule & Keyword Based Activity Mining
- Clustering ‘Documents’
- Social Media Text Analysis
- Sentiment Polarity
- Customer Segmentation