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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
The data refinery tool, which can be accessed through IBM Watson® Studio and Watson™ Knowledge Catalog, significantly reduces the time spent on data preparation by swiftly converting extensive volumes of raw data into high-quality, usable information suitable for analytics. Users can interactively discover, clean, and transform their data using more than 100 pre-built operations without needing any coding expertise. Gain insights into the quality and distribution of your data with a variety of integrated charts, graphs, and statistical tools. The tool automatically identifies data types and business classifications, ensuring accuracy and relevance. It also allows easy access to and exploration of data from diverse sources, whether on-premises or cloud-based. Data governance policies set by professionals are automatically enforced within the tool, providing an added layer of compliance. Users can schedule data flow executions for consistent results and easily monitor those results while receiving timely notifications. Furthermore, the solution enables seamless scaling through Apache Spark, allowing transformation recipes to be applied to complete datasets without the burden of managing Apache Spark clusters. This feature enhances efficiency and effectiveness in data processing, making it a valuable asset for organizations looking to optimize their data analytics capabilities.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Spark
No
Databricks
Yes
IBM Cloud
No
IBM Cloud Pak for Watson AIOps
No
IBM Watson
No
IBM Watson Discovery
No
IBM Watson Language Translator
No
IBM Watson Recruitment
No
IBM watsonx Assistant
No
Snowflake
Yes
Integrations
Apache Spark
Yes
Databricks
No
IBM Cloud
Yes
IBM Cloud Pak for Watson AIOps
Yes
IBM Watson
Yes
IBM Watson Discovery
Yes
IBM Watson Language Translator
Yes
IBM Watson Recruitment
Yes
IBM watsonx Assistant
Yes
Snowflake
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
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
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
BettrData
Founded
2020
Country
United States
Website
bettrdata.io
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/data-refinery
Product Features
Data Cleansing
Address/ZIP Code Cleaning
No
Charting
No
Data Consolidation / ETL
No
Data Mapping
No
Multi Data Format Support
No
Phone/Email Validation
No
Raw Data Ingestion
No
Sample Testing
No
Validation / Matching / Reconciliation
No
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
Product Features
Data Preparation
Collaboration Tools
No
Data Access
No
Data Blending
No
Data Cleansing
No
Data Governance
No
Data Mashup
No
Data Modeling
No
Data Transformation
No
Machine Learning
No
Visual User Interface
No
