Audience

Companies that need a powerful platform for big data

About Enterprise Enabler

It unifies information across silos and scattered data for visibility across multiple sources in a single environment; whether in the cloud, spread across siloed databases, on instruments, in Big Data stores, or within various spreadsheets/documents, Enterprise Enabler can integrate all your data so you can make informed business decisions in real-time. By creating logical views of data from the original source locations. This means you can reuse, configure, test, deploy, and monitor all your data in a single integrated environment. Analyze your business data in one place as it is occurring to maximize the use of assets, minimize costs, and improve/refine your business processes. Our implementation time to market value is 50-90% faster. We get your sources connected and running so you can start making business decisions based on real-time data.

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Integrations

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Company Information

Stone Bond Technologies
Founded: 2002
United States
stonebond.com

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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Enterprise Enabler Frequently Asked Questions

Q: What kinds of users and organization types does Enterprise Enabler work with?
Q: What languages does Enterprise Enabler support in their product?
Q: What kind of support options does Enterprise Enabler offer?
Q: What type of training does Enterprise Enabler provide?

Enterprise Enabler Product Features

Big Data

Templates
Data Visualization
Collaboration
Data Blends
Data Cleansing
Data Warehousing
High Volume Processing
Data Mining
No-Code Sandbox
Predictive Analytics

Business Intelligence

Dashboard
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Data Warehouse

In-Memory Processing
Match & Merge
ETL - Extract / Transfer / Load
Data Migration
Ad hoc Query
Data Quality Control
Analytics
Data Integration

ETL

Data Analysis
Match & Merge
Data Filtering
Data Quality Control
Metadata Management
Version Control
Non-Relational Transformations
Job Scheduling

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Master Data Management

Relationship Mapping
Data Masking
Process Management
Visualization
Match & Merge
Hierarchy Management
Data Source Integrations
Multi-Domain
Data Governance
Metadata Management

Enterprise Enabler Additional Categories