My firm Data Tree Research can provide cutting-edge, cost-effective, custom-built, on-demand Analytics Solutions for your various business verticals.
We have expertise in the following areas:
- Hypothesis Testing (Validating various changes, differences in means, ratios etc statistically)
- Linear Regression (Used for Trend Analysis, Predictive Modelling, Cause and Effect Analysis)
- Logistic Regression (Used for event Modelling, for e.g. Repeat Customer Behaviour study etc)
- Decision Trees (Used for classification, Predictive Modelling, Cause and Effect Analysis etc)
- Association Rule Mining (Mainly used for Market Basket Analysis etc)
- Random Forests (Used for Predictive Modelling and/or evaluating variable importance etc)
- Clustering (used for Product, Email, Customer Segmentations etc)
We can work with all/any of your business verticals including Marketing, Operations, Corporate, Finance etc.
We have worked extensively with E-Com clients in the areas of Campaign Analytics for last one and a half years and developed some innovative techniques in the following area:
- TV Campaign Impact Analysis on Online Traffic: Our major achievement is building the pioneering solution in analyzing TV Campaign Impact on Web traffic of E-Commerce companies. We evaluate the Impact of various Channels and Programs on Online Visits in terms of Cost/Surged Visit. This is our pioneering solution to the market for analytics of the high cost TV Campaigns by using Advanced Linear Modelling for traffic Surge detection and Cost-Benefit Analysis. We analyze a plethora of parameters like weekday, timeslot, Break No, Ad position, Channel, Program etc. Visit our site: www.marketspendanalytics.com
- Print & Theatre Campaign: We have built Print Campaign Analytics (on Online Traffic, Online and Store Orders etc) and analyze the impact of parameters like day, city, creative type, Ad size, Page No, etc and Theatre Campaign Analytics based on show timings, weekday, city etc
- Online Campaign Analytics: Our module helps you identify the best performing Campaigns in terms of Visits, Bounce Rate, and New Users with respect to Scale provided and Cost incurred.
- Daily Traffic TrendAnalyzer: The Daily TrendAnalyzer module automatically detects and reports any pattern changes in Web Traffic, very useful for monitoring daily online traffic.
- Order Delay Forecasting(Operations): For Forecasting Expected Delay in Orders currently in the manufacturing Cycle based on current trend, current load, type of product, vendor, past delay histories etc
- Deal Risk Forecasting (B2B): In the B2B space this solution provides the potential Odds of a deal converting given the history of the delivery of the vendor in the account and the history of Win-Loss in the Vertical, Horizontal and the BDM involved
- Customer Repeat Analysis(B2C): Factors enhancing the Odds of Repeat of a Customer based on product types, payment modes, browsing behavior, order size etc
Our clients include 4 growing E-Commerce startups ranging from fashion, jewellery to food delivery.
However every business is unique and I can custom-build solutions for your requirements.
I has 5+ years of experience of working on Data Mining techniques to solve complex Business Problems and Predictive Modelling. He has worked on projects related to Product Segmentation, Customer Repeat Behavior Study, Sales Forecasting, Demand Forecasting, etc for Service and E-Commerce Companies.
I has been a pioneer member of Analytics teams in the Corporate and have worked closely with the leadership. He has been associated with brands like ICICI Bank & Wipro. Have led the Analytics team of Caratlane.com and TaxiforSure.com during his Corporate Career.
I has done his BE from Pune Institute of Computer Technology, Pune and Post-Graduation from S.P. Jain Institue of Management and Research, Mumbai. I also holds Masters in Information Technology from Virginia Tech Polytechnic and State University, US