Average Ratings 6 Ratings
Average Ratings 0 Ratings
Description
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
Description
Regardless of your level of expertise in managing the reconciliation of critical data within your organization, you are likely to encounter intricate obstacles—excessive data volume, time constraints, and numerous manual procedures. Frequently, ineffective workflows and insufficient visibility hinder your team's progress, severely restricting the application of reconciliation data across different business sectors. ReconNET effectively addresses these issues, enabling your finance department to save valuable time, minimize financial risks, and enhance its overall contribution to your organization. Our software, designed for high-volume transactions and matching, automates more than 90% of daily, monthly, and periodic reconciliation processes while simultaneously lowering related costs and risks. With our support, you can significantly reduce data-entry mistakes and processing inefficiencies, streamline manual operations, and strengthen your internal controls for improved accuracy and effectiveness. Embracing such innovative solutions can lead to a more efficient and reliable reconciliation process, ultimately benefiting your entire organization.
API Access
Has API
API Access
Has API
Integrations
AWS Glue
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Cosmos DB
Azure SQL Database
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Dataflow
Integrations
AWS Glue
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Cosmos DB
Azure SQL Database
Cloudera
Databricks Data Intelligence Platform
Google Cloud BigQuery
Google Cloud Dataflow
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
FirstEigen
Founded
2015
Country
United States
Website
firsteigen.com/databuck/
Vendor Details
Company Name
Trintech
Country
United States
Website
www.trintech.com/targeted-tools/reconnet/
Product Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Data Quality
Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management