Name: DigDash
Price: 5000 USD
Author: DigDash

Help Desk

Web and Video Conferencing

Customer Support

AI Chatbot

Development

Attendance Tracking

Career Center

Education

Association Management

Business Intelligence (BI)

Case Management

Collaboration

File Sharing

File Sync

Objectives and Key Results (OKR)

Office Suites

Unified Communications as a Service (UCaaS)

Enterprise

Accounting

FinTech

Online Trading

SaaS Spend Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Performance Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Asset Tokenization

Business Internet Service Providers (ISPs)

Cloud Storage

Container Management

Debugging

Disaster Recovery as a Service (DRaaS)

Dynamic Application Security Testing (DAST)

Fraud Detection

In-Memory Databases

Incident Response

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Intranet

Managed Private Cloud

Managed Security Service

Modular Storage Area Network (SAN)

Network Function Virtualization (NFV)

Network Performance Monitoring

Runtime Application Self-Protection

SSL Certificate

Secure Web Gateway

Threat Hunting

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Email Marketing

Marketing Automation

Personalization Engines

Product Management

Sales and Marketing Automation

Social Media Management

Survey & Forms Building

Technology Review

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Forecasting

Sales Pipeline

Sales

Microsegmentation

Security Information and Event Management (SIEM)

Security

Automotive

Building Information Modeling (BIM)

Catering

Law Practice Management

Legal Research

Tour Operator

Vertical-Specific

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Comprehensive Capability: Several reviewers have highlighted that DigDash offers a comprehensive capability to create personalized dashboards and cubes. This feature has allowed users to have full control over their data visualization and analysis, empowering them to gain deeper insights into their data.

User-Friendly Interface: Many users have praised DigDash for its user-friendly interface when building dashboards and cubes. They have found the software intuitive and easy to navigate, which has greatly improved the efficiency of creating personalized visualizations.

Flexibility in Customization: A significant number of reviewers appreciate the flexibility provided by DigDash in terms of creating custom dashboards and cubes. The software offers a wide range of options and settings that allow users to tailor their visualizations according to their specific requirements, ensuring they can effectively communicate their data insights.

Lack of Integration with Other Systems: Some users have expressed their disappointment in the software's limited integration capabilities, particularly with SAP. They were hoping for more seamless integration to streamline their costs and improve overall efficiency. However, no specific details were provided regarding the negative impact of this limitation.



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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

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.