Name: MonkeyData
Price: 9 USD
Author: MonkeyData

Help Desk

Web and Video Conferencing

Customer Support

Changelog

Mind Mapping

Development

Audit

Business Intelligence (BI)

Calibration Management

Collaboration

Communications Platform as a Service (CPaaS)

Embedded Business Intelligence (BI)

Environmental, Social, and Governance (ESG)

Interactive Voice Response (IVR)

Enterprise

Accounting

Payment Gateway

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Employee Onboarding

HR Management

Payroll

Recruitment Automation

Succession Planning

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Cloud Storage

Data Observability

Desktop Outsourcing

Electronic Data Interchange (EDI)

Fraud Detection

IT Service Management (ITSM)

Industrial IoT

Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

Managed Print

Metadata Management

Network Access Control (NAC)

Network Function Virtualization (NFV)

Network Performance Monitoring

Relational Database Management Systems

Remote Support

Security Awareness Training

Solid State Drives

Static Application Security Testing (SAST)

Traffic Switching

Virtual Private Network (VPN)

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Business Card Scanning

Content Management

Digital Analytics

Email Management

Email Marketing

Marketing Automation

Marketing Resource Management

Presentation

Real-Time Interaction Management

Social Media Management

Survey & Forms Building

Video Streaming

Web Analytics

Webinar

Marketing

Business Caller ID

Project Management

Professional Services

Customer Relationship Management (CRM)

Lead Generation

Sales Email Tracking

Sales

Certificate Lifecycle Management

Security

Forestry

HIPAA Compliance

Home Health Care

Insurance Agency Management

Vertical-Specific

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### Business Intelligence Tools
Users generally praise MonkeyData for its highly helpful platform that aids in tracking key performance indicators and creating customized applications to analyze and manage data effectively. The sentiment towards MonkeyData's business intelligence tools is predominantly positive, with users highlighting its user-friendly interface and ease of use. The tools are commended for their ability to provide real-time analysis, data trends, and metrics predictions, enhancing data management and customization for users. Additionally, the affordability of the platform, starting at $9 per user per month, is seen as a significant advantage compared to competitors. Users appreciate the platform's integration capabilities and the convenience of accessing data insights through the mobile application, which boosts productivity and efficiency in daily operations.

### Data Analysis and Reporting
Users consistently highlight MonkeyData's data analysis and reporting features as key strengths of the platform. They appreciate the ease of generating automated reports, creating insightful dashboards, and conducting real-time analysis. While some users initially found the learning curve steep due to the abundance of features, they ultimately found the platform invaluable for making data-driven decisions. Despite a few minor criticisms regarding consolidated data views and quiz functionalities, MonkeyData's data analysis and reporting tools are generally well-regarded for their ability to provide valuable insights into business progression, customer demands, and overall business trends.

### Customer and Client Engagement
Users consistently praise MonkeyData for its exceptional customer and client engagement features. The platform is lauded for its ability to help increase customer engagement, track key performance indicators, and provide actionable insights for decision-making. Clients appreciate the ease of integrating the tool and the excellent customer service provided. MonkeyData's focus on client retention and understanding customer journeys is highlighted as a key strength by reviewers. The platform's capability to create customized applications tailored to specific client needs is also well-received. In summary, MonkeyData's customer and client engagement functionalities are regarded as a valuable asset for organizations looking to enhance their customer relationships and improve service delivery.

### User Experience and Usability
Users appreciate MonkeyData's mobile accessibility, allowing them to easily monitor and manage their data on-the-go. While many find the platform user-friendly and convenient for analyzing data, some users express a desire for more advanced features and improvements in the desktop version. Despite minor issues with mobile reporting and the absence of certain functionalities like Instagram data and quizzes, MonkeyData generally receives positive feedback for its usability and overall user experience.

### Mobile Applications for Business
Users seem to appreciate MonkeyData's mobile applications for business functionality. Reviewers have highlighted the convenience of accessing real-time data, tracking key performance indicators, and making informed decisions on the go. While some users find the mobile version more user-friendly than the desktop interface, there are occasional reports of bugs in mobile reporting. Despite minor issues, MonkeyData's mobile applications appear to play a significant role in enhancing user productivity and providing valuable insights for business growth.

User reviews commonly make the following recommendations for the software:

- Careful configuration: Users suggest that the software needs to be carefully configured by someone knowledgeable in order to avoid making wrong decisions. This recommendation emphasizes the importance of expertise in optimizing the software's functionality.

- Improve customer engagement: Many users recommend the software for companies looking to gather more customer data and improve customer engagement. This recommendation highlights the software's potential to enhance communication and interaction with customers, leading to better services and increased satisfaction.

- Give it a try: Several users had a positive experience with the software and highly recommend giving it a try. This recommendation encourages potential users to explore the software's features and assess its suitability for their specific needs.

Overall, these recommendations indicate that the software is seen as valuable for organizations interested in optimizing their customer data management, improving customer engagement, and offering better services.

Time-saving automated reports: Users have found MonkeyData's automated reports feature to be very useful, with several reviewers mentioning that it has saved them a significant amount of time. They appreciate the ability to generate comprehensive reports on a regular basis without having to manually compile data or run complex analyses.

Real-time performance monitoring: MonkeyData's real-time performance monitoring feature has received positive feedback from users, who appreciate being able to quickly see how their online store is performing. This feature allows them to stay updated on their business and make timely decisions based on current data.

Easy integration and prompt customer service: Several reviewers have praised MonkeyData for its ease of integration and commendable customer service. They found the software easy to integrate into their daily activities and were satisfied with the prompt assistance provided by the support team whenever they had questions or issues.

Challenging Initial Configuration: Several users have expressed frustration with the initial configuration of MonkeyData, describing it as challenging and overwhelming. They have found the learning curve to be steep, which has made it difficult for them to get started with the software.

Lack of Tutorials or Demos: The absence of tutorials or demos for new users has been mentioned by multiple reviewers as a drawback. Users have stated that this lack of guidance hampers their ability to fully understand and utilize all the features of MonkeyData, particularly for beginners who may need more support.

Concerns about Data Security: Some users have raised concerns about data security due to MonkeyData storing all data on a public cloud. They worry about potential compliance issues and the safety of their sensitive information.

MonkeyData has proven to be an invaluable tool for online store owners, offering a range of use cases that have helped users effectively analyze and understand the performance of their businesses. Customers have praised MonkeyData for providing valuable insights into their online stores, enabling them to make informed decisions to grow their businesses. By connecting to other platforms and allowing for customized dashboard views, MonkeyData has helped users gain insights into business progression, customer demands, interests, strategies, and business trend analysis. Additionally, this software has been instrumental in solving problems related to data analysis, cost-effective solutions, and client and customer relationship management. It has also assisted with inventory management and stock analysis, helping users optimize their product offerings. The intuitive and aesthetically pleasing dashboards and reports have received high praise from users, as has the helpfulness of the MonkeyData team. Overall, MonkeyData provides a comprehensive solution for data analytics and e-commerce analytics, delivering both summarized information and valuable insights that users may not have noticed before.

Basic

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Slingshot

Slingshot Enterprise

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

MonkeyData

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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

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.