Name: Ayasdi Core
Rating: 8.9 (10 reviews)
Author: Ayasdi

Call Center Workforce Optimization

Help Desk

Web and Video Conferencing

Customer Support

Chatbot

Functional Testing

Kubernetes Monitoring

No-Code Development

Development

Admissions and Enrollment

Classroom Management

Education

Business Intelligence (BI)

Collaboration

Facility Management

Statistical Analysis

Workspace Planning

Enterprise

Accounting

Accounts Payable

Financial Planning and Analysis (FP&A)

Hedge Fund

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

3D Printing

Block Storage

Cloud Data Warehouse

Cloud Storage

Configuration Management Databases

Deception Technology

Encryption Key Management

Fraud Detection

Integration Platform as a Service (iPaaS)

IoT Device Management

Load Balancing

Network Performance Monitoring

Operating Systems

SOA Governance

SaaS Backup

Server Virtualization

Service Desk Outsourcing

Vector Databases

WiFi Hotspot

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Content Management

Customer Success

Digital Content Creation

Email Marketing

Market Intelligence

Marketing Automation

Referral Marketing

Social Media Management

Survey & Forms Building

Usability Testing

Web Analytics

Marketing

Project Management

Professional Services

Customer Onboarding

Customer Relationship Management (CRM)

Field Sales Software

Sales Performance Management

Sales

Agriculture

Construction Takeoff and Estimating

Dealer Management

Direct Secure Messaging

Equipment Rental

Fleet Management

Insurance Suites

PCB Design

Rental Property Management

Restaurant Management

Vertical-Specific

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Ayasdi Core is a business intelligence software offering from Ayasdi.

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Ayasdi Core

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Business Intelligence Tools & Analytics software provides historical, current and predictive views of business operations.

Likelihood to Recommend

Data Sources

Data Sharing and Collaboration

BI Standard Reporting

Ad-hoc Reporting

Report Output and Scheduling

Data Discovery and Visualization

Access Control and Security

Pixel Perfect reports

Customizable dashboards

Report Formatting Templates

Drill-down analysis

Formatting capabilities

Integration with R or other statistical packages

Report sharing and collaboration

Publish to Web

Publish to PDF

Report Versioning

Report Delivery Scheduling

Delivery to Remote Servers

Pre-built visualization formats (heatmaps, scatter plots etc.)

Location Analytics / Geographic Visualization

Predictive Analytics

Multi-User Support (named login)

Role-Based Security Model

Multiple Access Permission Levels (Create, Read, Delete)

Single Sign-On (SSO)

Ayasdi

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

Standard reporting means pre-built or canned reports available to users without having to create them.

Pixel Perfect reports are highly-formatted reports with graphics and ability to preview the report before printing.

Customizable dashboards are dashboards providing the builder some degree of control over the look and feel and display options.

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

Drill down analysis is the ability to get to a further level of detail by going deeper into the hierarchy.

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 the open-source R predictive modeling environment.

Report sharing and collaboration is the ability to easily share reports with others.

Ability to schedule and manager report output.

Output Raw Supporting Data

Report versioning is the assignment of version numbers to each version of a report to help in tracking.

Report Delivery Schedule is the ability to have reports delivered to a destination at a specific data and time.

Ability to deliver reports to remote servers

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 are canned visualization types that can be selected to visualize different kinds of data.

Location analytics is the visualization of geographical or spatial data.

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.

Ayasdi Core

Overview

What is Ayasdi Core?