tableau significance of data visualization
DESCRIPTION
Tableau acts as a bridge between users of physical and digital media, taking the best parts of both. It produces a family of interactive data visualization products focused on business intelligence.TRANSCRIPT
The Significance of Data Visualization
Technological advances have made data
visualization more prevalent and powerful than
ever before, increasing the importance of business
intelligence. Businesses around the globe realize
that the ability to visualize data effectively leads
directly to better understanding, insight and better
business decisions.
Often the difference between winning and losing in
today's marketplace is the ability to respond to
ever-changing conditions, anticipating customer
behavior or responding to competitive dynamics. Now more than ever organizations need solutions that
allow for easy access to the volume and variety of data that can drive and support dynamic decision-
making. Competitive pressures and new sources of data are creating new requirements. Users are
demanding the ability to answer their questions quickly and easily. And that’s a good thing.
Tableau is an excellent fit for organizations that do not have large IT departments, but are looking for a
tool that offers a strong visualization suite and quick deployment. Its intuitive, visually driven interactive
data-exploration platform can easily transform the ordinary business user into a “data superhero.”
Bodhtree has partnered with Tableau to provide their clients with a compelling alternative solution to
traditional BI. 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.
Customer Success story
We implemented a complete big data topology for one of the large toy and game manufacturing
company 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.
If you would like to know more about our Big Data & Tableau expertise or share your experience, write
to us at [email protected]