Name: Ikigai
Author: Ikigai

Help Desk

Web and Video Conferencing

Customer Support

Innovation Management

PHP Frameworks

Product Lifecycle Management (PLM)

Text Editors

Development

Business Intelligence (BI)

Collaboration

Enhanced 911 (E911)

Meeting Management

PDF Editors

Payment Facilitation

Supply Chain Management

Visitor Management

Enterprise

Accounting

Blockchain Payments

Crypto Asset Management

Hedge Fund

Investor Relations

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Lifecycle Management (ALM)

Archiving

Cloud Storage

Composable Infrastructure

Custom Software Development Services

Data Masking

Database Performance Monitoring

Email Encryption

Endpoint Security

Firewall

Fraud Detection

IT Asset Disposal

Infrastructure Capacity Planning

Integration Platform as a Service (iPaaS)

Internet Security

Log Management

Network Performance Monitoring

Network Traffic Analysis (NTA)

NoSQL Databases

Software Composition Analysis (SCA)

Storage Management

Value-Added Resellers (VARs)

Wireless LAN

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Channel Management

Content Management

Creative Collaboration

Domain Registration Services

Email Marketing

Marketing Automation

Native Advertising

Social Media Management

Survey & Forms Building

Translation

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Proposal

Sales

Cloud Infrastructure Entitlement Management

File Integrity Monitoring

Security

3D Modeling

Membership Management

Real Estate

Simulation

Vertical-Specific

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Ikigai is an AI platform developed by IkigaiLabs that aims to offer easy, fast, and powerful AI solutions for businesses. According to the vendor, the platform provides a range of AI applications and tools to help companies improve their demand forecasting, financial reconciliation, and supply chain management. The platform is designed to cater to companies of all sizes, from small businesses to large enterprises. It is intended for use by professionals and industries such as data scientists, supply chain managers, financial analysts, operations managers, and retailers.

## Key Features

**Generative AI for Tabular Data**: According to the vendor, Ikigai offers generative AI for tabular data, which allows users to uncover hidden insights and find probabilistic relationships. The platform claims to provide best-in-class time series forecasting and demand planning, even with sparse and limited data. The Expert in the Loop (EiTL) feature is said to enable users to analyze all scenarios and trade-offs for optimal decisions.

**Connect Your Data**: Ikigai allows users to easily connect their data by uploading spreadsheets or syncing real-time data using pre-built connectors. The platform claims to support over 100 connectors, including popular ones like Snowflake, BigQuery, and NetSuite, making it convenient for users to connect to their preferred data sources without the need for SQL skills or IT assistance.

**Prep Your Data**: According to the vendor, Ikigai provides a no-code data preparation feature that allows users to extract information from unstructured data like PDFs. The platform claims to offer a drag-and-drop interface for easy data preparation, eliminating the need for complex SQL queries. The aiMatch feature is said to facilitate intelligent data stitching and prepping, making it effortless to match and reconcile data across different sources.

**Build Models**: Ikigai's AI platform enables users to build powerful AI models using foundation models such as aiCast and aiPlan. The vendor claims that aiCast enables automated machine learning (ML) forecasting, even with limited historical data, while aiPlan utilizes reinforcement learning for optimal outcomes. According to the vendor, Ikigai automates model selection and hyperparameter tuning, saving time and effort in the model-building process.

SAP Analytics Cloud for Business Intelligence

SAP Analytics Cloud for Planning

Qlik Sense® is a self-service BI platform for data discovery and visualization. It supports a full range of analytics use cases—data governance, pixel-perfect reporting, and collaboration. Its Associative Engine indexes and connects relationships between data points for creating actionable insights.

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Standard

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Ikigai

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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.

Report-Level Access Control

Report-level access control means that the type of report determines who has access to it.

Table-Level Access Control (BI-layer)

Field-Level Access Control (BI-layer)

Ikigai

Overview

What is Ikigai?