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Description
Acterys serves as a comprehensive platform designed for Corporate Performance Management (CPM) and Financial Planning & Analytics (FP&A), seamlessly working with Microsoft Azure, Power BI, and Excel.
It streamlines the integration of pertinent data sources through connectors for various ERP, accounting, and SaaS solutions, allowing all CPM procedures to operate on a unified platform utilizing top-tier SQL Server technologies, whether in the cloud or on-premises.
Users can take advantage of pre-built, customizable application templates that cover all facets of planning, forecasting, and consolidation.
Furthermore, business users have the flexibility to tailor FP&A and CPM processes to meet their specific requirements, fully integrated with their daily productivity tools, ensuring a streamlined workflow that enhances efficiency.
Description
Fully compatible with Netezza, this solution offers a streamlined command-line upgrade option. It can be deployed on-premises, in the cloud, or through a hybrid model. The IBM® Netezza® Performance Server for IBM Cloud Pak® for Data serves as a sophisticated platform for data warehousing and analytics, catering to both on-premises and cloud environments. With significant improvements in in-database analytics functions, this next-generation Netezza empowers users to engage in data science and machine learning with datasets that can reach petabyte levels. It includes features for detecting failures and ensuring rapid recovery, making it robust for enterprise use. Users can upgrade existing systems using a single command-line interface. The platform allows for querying multiple systems as a cohesive unit. You can select the nearest data center or availability zone, specify the desired compute units and storage capacity, and initiate the setup seamlessly. Furthermore, the IBM® Netezza® Performance Server is accessible on IBM Cloud®, Amazon Web Services (AWS), and Microsoft Azure, and it can also be implemented on a private cloud, all powered by the capabilities of IBM Cloud Pak for Data System. This flexibility enables organizations to tailor the deployment to their specific needs and infrastructure.
API Access
Has API
Yes
API Access
Has API
No
Integrations
Arcion
No
Captain Compliance
No
DEAR Inventory
Yes
Dynamics 365 Remote Assist
Yes
IBM Cloud
No
IBM Cloud Pak for Data
No
IBM watsonx.data
No
Immuta
No
MYOB
Yes
MYOB Acumatica
Yes
Integrations
Arcion
Yes
Captain Compliance
Yes
DEAR Inventory
No
Dynamics 365 Remote Assist
No
IBM Cloud
Yes
IBM Cloud Pak for Data
Yes
IBM watsonx.data
Yes
Immuta
Yes
MYOB
No
MYOB Acumatica
No
Pricing Details
$55.00/month/user
Main product is based on user per month pricing. Some elements per entity.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
FP&A Software
Founded
2018
Country
Australia
Website
www.acterys.com
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/netezza
Product Features
Budgeting
"What If" Scenarios
Yes
Asset Planning
Yes
Balance Sheet
Yes
Capital Asset Planning
No
Cash Management
Yes
Consolidation / Roll-Up
Yes
Forecasting
Yes
General Ledger
Yes
Income Statements
Yes
Multi-Company
Yes
Multi-Department / Project
Yes
Profit / Loss Statement
Yes
Project Budgeting
Yes
Run Rate Tracking
Yes
Version Control
Yes
Business Performance Management
Ad Hoc Reports
No
Ad hoc Analysis
No
Budgeting & Forecasting
Yes
Consolidation / Roll-Up
Yes
Dashboard
Yes
Key Performance Indicators
Yes
Predictive Analytics
Yes
Qualitative Analysis
Yes
Quantitative Analysis
Yes
Scorecarding
Yes
Strategic Planning
Yes
Data Discovery
Contextual Search
Yes
Data Classification
Yes
Data Matching
Yes
False Positives Reduction
No
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Data Warehouse
Ad hoc Query
Yes
Analytics
Yes
Data Integration
Yes
Data Migration
Yes
Data Quality Control
Yes
ETL - Extract / Transfer / Load
Yes
In-Memory Processing
Yes
Match & Merge
No
Master Data Management
Data Governance
Yes
Data Masking
No
Data Source Integrations
No
Hierarchy Management
Yes
Match & Merge
No
Metadata Management
Yes
Multi-Domain
No
Process Management
No
Relationship Mapping
Yes
Visualization
No
Product Features
Data Warehouse
Ad hoc Query
No
Analytics
No
Data Integration
No
Data Migration
No
Data Quality Control
No
ETL - Extract / Transfer / Load
No
In-Memory Processing
No
Match & Merge
No