Bodhtree tableau datasheet

Tableau Data Services Harvest the business value of your data

Bodhtree provides Next-Generation Business Intelligence and Visualization using Tableau software Business Intelligence gives you the information you need, when you need it, in the right format. Bodhtree helps you integrate data from across your enterprise delivering the full breadth of Analytics capabilities, including statistics, predictive analytics, data and text mining, forecasting, and optimization reporting and analysis. Bodhtree has partnered with Tableau - an intuitive, drag-and-drop analytics tool that lets you visualize your business data quickly and easily. Several of our clients are looking to adopt user-friendly BI applications and analytics tools to create KPI-specific dashboards for their power users, functions and leadership. With Tableau, we intend to empower our clients with self-service BI that enables them to analyze, visualize and communicate information in the most effective way possible.

Bodhtree’s Capabilities

Big Data Analysis & Business Dashboards

Data Discovery

Data Visualization

Social Media Analytics

Mobile Business Intelligence

Survey Analysis

Time Series Analysis

Mapping Software

Deeper Insights = Greater Value Most analytic platforms are limited to structured data and require the use of summary data, cubes, or subsets of the raw data which ultimately dilute the value and insights possible. With Bodhtree’s Analytics solution, companies are empowered to analyze all of their data while maintaining detail level granularity and applying advanced analytics, including geospatial, statistical, time-series, pattern matching, and an SDK for custom procedural programming. These unique capabilities facilitate actionable insights - the ability to engage and take action upon information while it maintains relevance and value.

Data Environments

Case study Big Data implementation for a large toy and game manufacturer Bodhtree implemented a complete big data topology for our client to enable improved understanding of customer preferences and buying habits; the process involved the following steps: • An assessment study to identify all stakeholders and determine the firm’s readiness and suitability to adopt Big Data • Identified business use cases where big data could be a game changer, aligned them to their strategic priorities, illustrated a roadmap for future and clearly defined business benefits • Prioritized and selected a use case for improving the customer revenue based on their past behavior; this included:

• Value based customer segmentation • Definition and implementation of 5 KPIs (Customer Lifetime Value (CLV), Average Revenue Per User (ARPU), Drop Rate, Retention Rate, Tie Ratio) • Definition of a statistical model to accurately predict the CLV values for a segment of customers • Implemented a visualization toolkit for modelling customer behavior and the KPIs of interest • Implemented an end-to-end solution spanning data extraction from multiple sources, normalization, storage, analysis and visualization using advanced tools and techniques

With this solution, our client could visualize their customer data in multiple ways and uncover insights that enables them to make faster and fact-based decisions to increase customer lifetime and revenue.

Sample Dashboards

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