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What is Tableau?

Tableau is a powerful and versatile analytics platform that enables organizations to transform their data into valuable insights, supporting better decision-making at all levels. With the introduction of Tableau Next, businesses can now take advantage of agentic analytics, powered by AI, to uncover deeper insights and make faster, more informed decisions. Whether deployed in the cloud, on-premises, or natively within Salesforce CRM, Tableau integrates seamlessly with various data sources, providing a unified experience that ensures data accuracy, governance, and management. The platform’s AI and machine learning capabilities allow users to predict trends, optimize workflows, and identify key business opportunities in real-time. Tableau’s visual storytelling and intuitive interface make it easy for analysts and business leaders to explore data, share insights, and drive action. Tableau fosters a Data Culture within organizations, helping to accelerate innovation and improve operational efficiency. With solutions tailored to analysts, IT leaders, business executives, and developers, Tableau empowers everyone in an organization to make data-driven decisions that drive business growth and improve customer outcomes.

What is Decision Master Warehouse?

Assess your group's medical and prescription expenditures along with related costs by benchmarking against one of the largest normative datasets in the country. Leverage our advanced analytics tools to pinpoint significant areas of concern efficiently. Say goodbye to the complexities of spreadsheets; with Decision Master® Warehouse's interactive dashboards and reporting features, you can quickly find answers to the who, why, where, what, and when, facilitating the implementation of focused strategies that reduce expenses. Aid clients in making well-informed choices by testing different plan design alternatives ahead of time. Evaluate how modifications can affect both your client's financial situation and the healthcare costs incurred by their employees. Our benchmarking data is derived from one of the most comprehensive normative datasets accessible, featuring insights from Truven Health Analytics alongside the Kaiser Family Foundation. Explore over 60 categories, including total health plan costs, inpatient and outpatient claims, emergency room utilization, and beyond, to obtain a thorough understanding of healthcare dynamics. This level of analysis not only empowers organizations to refine their strategies more effectively but also enhances overall health management, ultimately contributing to better patient outcomes and financial sustainability. By continually monitoring and adjusting strategies based on these insights, organizations can remain agile in a rapidly evolving healthcare landscape.

Media

Media

Integrations Supported

AnalyticsCreator
CloudSwyft
Coginiti
Crestron Fusion
DashLX
Datalogz
Dealavo
EZ-MES
Journyx
Kleene
OpenHexa
Partnerize
Potloc
QueryPie
Relevance Lab SPECTRA
SmartFeed
SmartPOS by Petrosoft
TetraScience
eLynx Technologies
ketteQ

Integrations Supported

AnalyticsCreator
CloudSwyft
Coginiti
Crestron Fusion
DashLX
Datalogz
Dealavo
EZ-MES
Journyx
Kleene
OpenHexa
Partnerize
Potloc
QueryPie
Relevance Lab SPECTRA
SmartFeed
SmartPOS by Petrosoft
TetraScience
eLynx Technologies
ketteQ

API Availability

Has API

API Availability

Has API

Pricing Information

$75/user/month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Salesforce

Date Founded

1999

Company Location

United States

Company Website

www.tableau.com

Company Facts

Organization Name

Zywave

Date Founded

1995

Company Location

United States

Company Website

www.zywave.com/analytics-cloud/decision-master-warehouse/

Categories and Features

Business Intelligence

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Dashboard

Annotations
Data Source Integrations
Functions / Calculations
Interactive
KPIs
OLAP
Private Dashboards
Public Dashboards
Scorecards
Themes
Visual Analytics
Widgets

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Heatmap

Behavioral Mapping
Dashboard
Dynamic Maps
Element Analytics
Embeddable Maps
For Sales
For Science
Radial Mapping
Territorial Mapping
Website Analytics

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Statistical Analysis

Analytics
Association Discovery
Compliance Tracking
File Management
File Storage
Forecasting
Multivariate Analysis
Regression Analysis
Statistical Process Control
Statistical Simulation
Survival Analysis
Time Series
Visualization

Categories and Features

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