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Description
Enterprise Enabler brings together disparate information from various sources and isolated data sets, providing a cohesive view within a unified platform; this includes data housed in the cloud, distributed across isolated databases, stored on instruments, located in Big Data repositories, or found within different spreadsheets and documents. By seamlessly integrating all your data, it empowers you to make timely and well-informed business choices. The system creates logical representations of data sourced from its original locations, enabling you to effectively reuse, configure, test, deploy, and monitor everything within a single cohesive environment. This allows for the analysis of your business data as events unfold, helping to optimize asset utilization, reduce costs, and enhance your business processes. Remarkably, our deployment timeline is typically 50-90% quicker, ensuring that your data sources are connected and operational in record time, allowing for real-time decision-making based on the most current information available. With this solution, organizations can enhance collaboration and efficiency, leading to improved overall performance and strategic advantage in the market.
Description
Companies that leverage data effectively utilize the Tilores API to establish a cohesive customer profile across all their various source systems. They develop real-time solutions that help mitigate risk, detect fraud, and provide tailored digital experiences, all while avoiding engineering complications. The challenges posed by inconsistent, incomplete, and outdated customer information hinder businesses in their efforts to align, strategize, and report accurately. For organizations to harness their customer data effectively, they must first standardize their schemas and integrate both new and historical data seamlessly. However, even after creating a centralized system with unified customer data, it often necessitates dedicated development efforts to enhance its utility. To streamline this process, it's essential for unified customer data to be synchronized back to the individual source systems of each department, turning every system into a distributed source of truth. This approach empowers businesses to manage risk more efficiently, detect fraud proactively, and enhance customer service. By transforming fragmented and isolated customer data into a comprehensive Customer 360 view, organizations can unlock new insights and drive better decision-making. Ultimately, this unification fosters a deeper understanding of customer behavior, enabling continuous improvement and innovation.
API Access
Has API
API Access
Has API
Integrations
GraphQL
HubSpot CRM
HubSpot Customer Platform
Salesforce
Snowflake
Integrations
GraphQL
HubSpot CRM
HubSpot Customer Platform
Salesforce
Snowflake
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Stone Bond Technologies
Founded
2002
Country
United States
Website
stonebond.com
Vendor Details
Company Name
Tilores
Founded
2021
Country
Germany
Website
tilores.io
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Business Intelligence
Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics
Data Warehouse
Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Master Data Management
Data Governance
Data Masking
Data Source Integrations
Hierarchy Management
Match & Merge
Metadata Management
Multi-Domain
Process Management
Relationship Mapping
Visualization