Name: Margin Minder
Price: 1200 USD
Rating: 8 (1 reviews)
Author: Salient

Customer Engagement

Help Desk

Web and Video Conferencing

Customer Support

Attendance Tracking

Online Proctoring Software

Education

Association Management

Business Intelligence (BI)

Collaboration

Contract Analysis

Document Generation

File Sync

Enterprise

Accounting

CTRM

Cryptocurrency Mining

Financial Research

SaaS Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Corporate Volunteering

HR Compliance

HR Management

Payroll

Recruitment Agency

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

API Design

Cloud Data Warehouse

Cloud Storage

Container Management

DevOps

Fraud Detection

Hadoop-Related

IT Alert Management

Incident Response

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Mobile Data Security

Network Access Control (NAC)

Network Performance Monitoring

Phishing Detection and Response

Relational Database Management Systems

Requirements Management

Tower Servers

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Conversion Rate Optimization

Customer Loyalty Program

Digital Experience Platforms (DXP)

Email Marketing

Location Intelligence

Marketing Automation

Personalization Engines

Product Management

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

AI Meeting Assistants

Email Signature

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales

Automotive

Geographic Information

Hotel Management

Insurance Claims Management

Law Practice Management

Mental Health

Multiple Listing Service (MLS)

Pharmacy

Telemedicine

Vertical-Specific

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Margin Minder, developed by Salient, is a data-driven performance solution designed to optimize profitability and efficiency for businesses in the CPG (Consumer Packaged Goods), retail, and healthcare industries. According to the vendor, Margin Minder caters to the needs of CPG suppliers, retailers, distributors, healthcare organizations, and more. By leveraging its features, businesses can potentially control risk, reduce costs, gain insights, and make data-driven decisions to drive success in their respective industries.

**Control Risk**: According to the vendor, Margin Minder helps businesses maintain or increase risk scores that accurately reflect the attributed population's acuity of illness. It identifies missed coding opportunities, measures the impact of interventions, and determines appropriate intervention strategies for each Taxpayer Identification Number (TIN).

**Salient Software Suite**: The vendor claims that Margin Minder offers a platform for data-driven decision-making. It provides a self-service intelligence platform that aims to redefine what is possible in an analytical application. With its unified high-performance in-memory database, data discovery interface, and data and user management utilities, users can potentially move between structured information and flexible data exploration.

**Supermarket & Convenience**: Margin Minder is said to deliver ease of use and insights for omnichannel retailers. It provides insights into critical data points such as product and category trends, operational effectiveness, inventory and supply chain performance, and consumer buying patterns. Retailers can potentially identify key factors that affect overall profitability using pre-built industry templates and ad-hoc data exploration capabilities.

**Custom Dashboard Development**: The vendor states that Margin Minder allows users to create custom charting directly within the Salient Dashboards builder. With a no-code drag-and-drop interface, users can potentially create or modify existing dashboards. The platform also supports the development of custom visualizations and purpose-built custom widgets, encouraging collaboration with clients to bring new charting ideas into their analyses.

**Reduce Costs**: According to the vendor, Margin Minder helps businesses accurately identify opportunities for improvement and deploy effective strategies. It conducts root cause analyses, evaluates facilities, outpatient costs, and pharmaceuticals driving up costs, and isolates beneficiaries that require in-depth analysis.

**Other CPG**: Margin Minder aims to help measure and improve any business process in the consumer packaged goods industry. It leverages granular store-level sales data to track performance and profitability, supports inventory tracking, advanced allocations, and new product execution, and provides custom visualizations and purpose-built custom widgets.

**Distribution Efficiency**: According to the vendor, Margin Minder aims to help measure and improve distribution efficiency for wholesalers. It supports revenue management, inventory and code data tracking, delivery operational efficiency, and provides insights into warehouse operations efficiency and supplier management. Additionally, it offers portfolio and SKU rationalization, chain account analysis, and budgeting and forecasting capabilities.

Basic

BIME, which was acquired by Zendesk, was a customer analytics platform that helped businesses measure and understand the customer experience from customer data. The product has been discontinued.

Base Plan

Big Data

BIME Analytics (discontinued)

Free

SOLO

TEAM

ADVANCED

Attach

Margin Minder

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Salient

BI Platform

Administration via Windows App

Administration via MacOS App

Administration via Web Interface

Live Connection to External Data

Snapshot of External Data

In-memory data model

OLAP (Pre-processed cube representation)

ROLAP (SQL-layer querying)

Multi-Data Source Reporting (Blending)

Data warehouse / dictionary layer

ETL Capability

ETL Scheduler

Supported Data Sources

Data sources that can be consumed by the application.

MS Excel Workbooks

Text Files (CSV, etc)

Oracle

MS SQL Server

IBM DB2

Postgres

MySQL

ODBC

Cloudera Hadoop

Hortonworks Hadoop

EMC Greenplum

IBM Netezza

HP Vertica

ParAccel

SAP Hana

Teradata

Sage 500

Salesforce

Google Analytics

BI Standard Reporting

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Report Formatting Templates

Ad-hoc Reporting

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill-down analysis

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

Formatting capabilities

Ability to format output e.g. conditional formatting, lines, headers, footers.

Predictive modeling

Predictive modeling is the ability to build future forecasting models.

Integration with R or other statistical packages

Integration with the open-source R predictive modeling environment.

Report sharing and collaboration

Report sharing and collaboration is the ability to easily share reports with others.

Report Output and Scheduling

Ability to schedule and manager report output.

Publish to Web

Publish to PDF

Output Raw Supporting Data

Report Versioning

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Scheduling

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Delivery to Remote Servers

Ability to deliver reports to remote servers

Data Discovery and Visualization

Data Discovery and Visualization is the analysis of multiple data sources in a search for patterns and outliers and the ability to represent the data visually.

Pre-built visualization formats (heatmaps, scatter plots etc.)

Pre-built visualization formats are canned visualization types that can be selected to visualize different kinds of data.

Location Analytics / Geographic Visualization

Location analytics is the visualization of geographical or spatial data.

Predictive Analytics

Predictive Analytics is the ability to build forecasting models based on existing data sets.

Support for Machine Learning models

Machine learning refers to computer programs that can learn when exposed to new data.

Pattern Recognition and Data Mining

Pattern recognition and data mining mean the ability to recognize hidden patterns in large quantities of data.

Access Control and Security

Access control means being able to determine who has access to which data.

Multi-User Support (named login)

Named model access means that users have access based on name and password.

Role-Based Security Model

Role-based access means that access to data is determined by job or position in the corporation.

Multiple Access Permission Levels (Create, Read, Delete)

Multiple access permission levels means that different levels of users have different rights.

Margin Minder

Overview

What is Margin Minder?