Sold by: AperioÂ
DataWise is an industrial manufacturing data quality platform, enabling organizations to discover and fix data quality issues, insights, and status.
Overview
Bad data kills good business (operations).
As the industry leader in manufacturing data quality, Aperio's mission is to deliver products and services that help our customers acquire and maintain the highest quality of data. High quality data is key to operating successfully in today's industry4.0 environment where business is data driven - it reduces risk and drives profitability, and helps customers thrive in a setting with relentless focus on metrics, product yield, quality, and cost, all while needing to keep an eye out for sustainability.
Aperio's DataWise data quality platform focuses on manufacturing data that comes from automation equipment, Industrial IOT, laboratory, environmental, and other measurement systems. The data we focus on is typically stored in historians and time series databases. DataWise enables both data owners and data users (whoever is tasked with stewarding data quality) to get a handle on data quality.
The core of DataWise is a library of machine learning engines that run fully automatically across all your databases detecting issues (which we record as Data Quality Events) - without any user supervision required. Users interact with DataWise in an easy-to-use web app, and/or leveraging notifications into existing IT and operations technology systems. Users obtain a crystal clear view of their data quality overall, over time, and in easy-to-navigate hierarchies through powerful metrics such as the Data Quality Index, as well as detailed information about data quality issues.
Highlights
- Accurate and fully automatic ML-based data anomaly detection and insight generation
- Scalable across millions of time series data streams (tags, channels, points, etc.) with fast ML model generation and deployment
- Users can interact with DataWise in an intuitive UI, through comprehensive APIs, and/or integrated with existing notification systems in the organization (PI Event Frames, ServiceNOW, etc.)
Details
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Delivery method
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
DataWise SMB - Small | One-year annual subscription. Up to 10,000 tags, 3 engines, 1 data source. Contact Aperio for further DataWise SMB - Small details | $60,000.00 |
Vendor refund policy
Please reference our End-User License Agreement (EULA) for refund information.
Legal
Vendor terms and conditions
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Industry experts on a data quality mission: The Aperio team all come with deep industry or B2B software credentials, and are deeply familiar with the challenges and opportunities of becoming data driven at scale. Our world-class team has served some of the largest customers within our key industry verticals in their Aperio journey, and our Analytics Engineers (AEs) and Customer Success Managers (CSMs) stand ready to leverage this expertise with your team every step of the way. Visit the Aperio Knowledge Base for troubleshooting and how-to articles: https://aperio.atlassian.net/wiki/spaces/KB or create a support ticket with Aperio by emailing support@aperio.ai .
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Machine Learning Anomaly Detection
Automated machine learning engines for detecting data quality issues across databases without user supervision
Data Stream Scalability
Capable of processing and analyzing millions of time series data streams with rapid machine learning model generation
Multi-System Integration
Supports comprehensive API interactions and integration with existing notification and operational technology systems
Data Quality Metrics
Provides advanced metrics like Data Quality Index for comprehensive data quality assessment and visualization
Industrial Data Focus
Specialized platform for analyzing data from automation equipment, Industrial IoT, laboratory, and environmental measurement systems
Data Quality Validation
Comprehensive sensor data quality checks with over 100 validation mechanisms for OT/IoT data
Time-Series Data Processing
Advanced processing capabilities for handling complex time-series sensor data across multiple industrial domains
Data Integration Framework
Seamless integration with existing data architectures and AWS ecosystem for efficient data management
Automated Data Transformation
Automated detection, analysis, and remediation of data quality issues with minimal manual intervention
Scalable Data Architecture
Highly scalable platform capable of rapid deployment across diverse industrial assets and sensor networks
Data Type Monitoring
Supports monitoring of tabular, image, and text data across machine learning applications
ML Tool Integration
Integrates with popular machine learning and data tools including Pandas, Apache Spark, AWS SageMaker, MLflow, Flask, Ray, RAPIDS, and Apache Kafka
Anomaly Detection
Out-of-the-box automated anomaly detection capabilities for identifying data quality issues, data bias, and concept drift
Privacy Preservation
No-configuration solution that operates without processing raw data, ensuring privacy and enabling massive scale monitoring
Observability Capabilities
Automated monitoring and alerting across multiple data vitals with lightweight integrations and purpose-built visualizations
Standard contract
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