Name: InAppBI
Rating: 8 (1 reviews)
Author: InAppBI

Help Desk

Web and Video Conferencing

Customer Support

AI Code Generation

Accessibility Testing

Development

Classroom Management

Virtual Classroom

Education

Business Intelligence (BI)

Collaboration

Data Extraction

Emissions Management

Integrated Workplace Management (IWMS)

Intellectual Property (IP) Management

Risk Management

Enterprise

Accounting

Digital Banking

Nonprofit Accounting

Treasury Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Authorization

Cloud Storage

Configuration Management

Data Collaboration

Fraud Detection

Game Engine

IP Address Management (IPAM)

Integration Platform as a Service (iPaaS)

IoT Security

LAN Switches

License Management

Network Performance Monitoring

Network Security

Open-Source Database

Operating Systems

SOA Governance

Service Desk Outsourcing

Single Sign-On

Vendor Risk Management

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Appointment Scheduling

Audience Intelligence

Content Experience

Content Management

Customer Journey Mapping

Email Marketing

Influencer Marketing

Market Research

Marketing Automation

Social Media Management

Survey & Forms Building

Text to Speech

Video

Video Marketing

Web Analytics

Marketing

Meeting Room Booking

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Performance Management

Social Commerce

Sales

Virtualization Security

Security

Agriculture

Banking

Donor Management

Equipment Rental

Rental Property Management

Vertical-Specific

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InAppBI is an analytics solution designed to add data-driven insights to applications. According to the vendor, it caters to small to large enterprises across various professions and industries, including software makers, business users, and data explorers. InAppBI offers easy integration into on-premise products, SaaS-based cloud platforms, or custom applications, allowing software makers to quickly build analytics solutions. The integration process is described as user-friendly and developer-friendly, supporting data extraction from various industry-leading sources and creating configurable models.

Additionally, InAppBI provides white-labeling options, which the vendor claims allows users to customize the analytics solution to match their brand. This feature ensures a seamless integration into existing applications, maintaining a consistent brand experience. Users can easily customize visual elements such as logos, colors, and themes, according to the vendor.

The vendor states that InAppBI offers an affordable solution for adding analytics to applications, making it accessible to small to large enterprises. The pricing model is designed to be cost-effective, enabling businesses to leverage analytics without breaking the bank. According to the vendor, it is an ideal choice for startups, SMBs, and larger enterprises looking for a budget-friendly analytics solution.

In terms of functionality, InAppBI allows users to extract data from industry-leading sources such as databases and APIs. Users can create configurable models that relate to their business semantics, effectively structuring and organizing the data. This feature provides flexibility in working with existing data sources and customizing analytics solutions, according to the vendor.

According to the vendor, InAppBI enables users to bring together multiple models to create powerful analytics and insights. Users can easily query the data and visualize it through interactive dashboards, charts, graphs, and reports. This feature empowers users to explore and analyze data, gaining valuable insights for decision-making.

Personal

Team

Department

Organization

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Pivot Table for SQL/CSV/JSON Unlimited

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Pivot Table for SQL/CSV/JSON Basic

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InAppBI

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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.

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.

InAppBI

Overview

What is InAppBI?