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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Our innovative automated data operations platform empowers businesses to decrease or reassign the full-time staff required for their data management tasks. Traditionally, this has been a labor-intensive and costly endeavor, but our solution consolidates everything into a user-friendly package that streamlines the process and leads to substantial cost savings. Many organizations struggle to maintain data quality due to the overwhelming volume of problematic data they handle daily. By implementing our platform, companies transition into proactive entities regarding data integrity. With comprehensive visibility over incoming data and an integrated alert system, our platform guarantees adherence to your data quality standards. As a groundbreaking solution, we have transformed numerous expensive manual workflows into a cohesive platform. The BettrData.io platform is not only easy to implement but also requires just a few simple configurations to get started. This means that businesses can swiftly adapt to our system, ensuring they maximize efficiency from day one.

Description

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Snowflake
Alteryx
Amazon Web Services (AWS)
Collibra
Databricks
Dataguise
Docker
Fivetran
Hunters
Informatica Cloud Application Integration
Matillion
Microsoft Azure
Monte Carlo
Okera
Python
Soda
Stitch
Talend Data Catalog
data.world
dbt

Integrations

Snowflake
Alteryx
Amazon Web Services (AWS)
Collibra
Databricks
Dataguise
Docker
Fivetran
Hunters
Informatica Cloud Application Integration
Matillion
Microsoft Azure
Monte Carlo
Okera
Python
Soda
Stitch
Talend Data Catalog
data.world
dbt

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

BettrData

Founded

2020

Country

United States

Website

bettrdata.io

Vendor Details

Company Name

DataOps.live

Founded

2020

Country

London, UK

Website

www.dataops.live/

Product Features

Data Cleansing

Address/ZIP Code Cleaning
Charting
Data Consolidation / ETL
Data Mapping
Multi Data Format Support
Phone/Email Validation
Raw Data Ingestion
Sample Testing
Validation / Matching / Reconciliation

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 Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Master Data Management

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

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