Name: Shoppr
Price: 10 USD
Author: DataOne Innovation Labs

Call Center Workforce Optimization

Help Desk

Web and Video Conferencing

Customer Support

Functional Testing

Kubernetes Monitoring

Development

Business Intelligence (BI)

Collaboration

Enterprise Content Management

Integrated Workplace Management (IWMS)

PDF Editors

Privacy Policy Generators

Enterprise

Accounting

Accounts Payable

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Stock Option Plan Administration

Talent Intelligence

Talent Management

Vendor Management Systems (VMS)

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Cloud Storage

Complex Event Processing

Composable Infrastructure

Data Collaboration

Deception Technology

Fraud Detection

Integration Platform as a Service (iPaaS)

Internet Performance Monitoring

LAN Switches

Network Performance Monitoring

Remote Desktop

Robotic Process Automation (RPA)

SaaS Backup

Service Desk Outsourcing

Software Asset Management

Storage Management

Telecom Expense Management (TEM)

User Virtualization

Vector Databases

Web Scraping

Zero Trust Security Solutions

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Advocacy

Digital Content Creation

Email Deliverability

Email Marketing

Employee Advocacy

Headless CMS

Marketing Automation

Referral Marketing

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Field Sales Software

Government Contracting

Social Commerce

Sales

Secure Access Service Edge (SASE)

Security

Awards Management

Card Management

Dealer Management

Healthcare Learning Management

Investment Portfolio Management

Medical Scheduling

Retail Analytics

Text Analysis

Vertical-Specific

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Comprehensive Marketing Software: Users have found Shoppr to be a comprehensive software for marketing experts, offering a wide range of features and functionalities. Many reviewers appreciate that it allows them to manage products, shops, and social media presence all in one place, eliminating the need for multiple tools.

Feature-rich Dashboard: The dashboard provided by Shoppr has received high praise from users. Its rich features and functionalities allow users to set goals, forecast sales, and monitor performance. Several reviewers mentioned that they find the dashboard easy to use and visually appealing, making it easier to make informed decisions based on the information presented.

Ease of Use: Reviewers have highlighted the ease of use of Shoppr as a major advantage. They mention that metrics and KPIs can be easily configured according to specific periods, providing a clear view of business evolution without the need for extensive spreadsheets. This user-friendly nature is appreciated by many customers who find getting started with Shoppr quick and easy.

Lack of Optimization for Smartphones: Some users have expressed disappointment with the software's lack of optimization for smartphones, suggesting that it could be improved to better cater to the increasing use of mobile devices.

User Interface Lacks Contrasts: Several reviewers have mentioned that the user interface lacks contrasts, which has affected the overall usability of the software. This feedback indicates a need for improvements in terms of visual design and accessibility.

Slow Backend Performance: Multiple users have reported experiencing slow backend performance while using the software, indicating that it may not be as efficient as desired. This issue highlights a need for optimization to enhance speed and responsiveness.

Shoppr has become a go-to tool for those who need to analyze their market presence. With its solid overview of business data, users have found it invaluable for tracking key performance indicators, products, and purchases all in one place. By simplifying the process of tracking conversion and managing customer follow-ups, Shoppr eliminates the need for manual work and spreadsheets. Users have been able to reduce their advertising spend by understanding which locations generate more orders and sales, thanks to the insights provided by Shoppr. Additionally, the customer support team has garnered praise for their helpfulness and willingness to address queries, providing valuable insights and assisting users in getting started with the software. Overall, users would recommend Shoppr as a smart analytics tool for online stores.

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Shoppr

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DataOne Innovation Labs

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.