Sold by: Aperio
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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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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Content disclaimer
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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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AI generated from product descriptions
Machine Learning-Based Anomaly Detection
Fully automatic ML-based detection of data anomalies and anomalies across manufacturing data sources without requiring user supervision
Time Series Data Processing
Scalable processing across millions of time series data streams with fast ML model generation and deployment capabilities
Data Quality Metrics and Visualization
Comprehensive data quality metrics including Data Quality Index with hierarchical navigation and detailed issue tracking through web-based interface
Multi-Source Data Integration
Support for manufacturing data from automation equipment, Industrial IoT, laboratory systems, environmental measurement systems, and time series databases
System Integration and Notifications
Integration with existing IT and operations technology systems including APIs and notification systems for data quality event management
Data Quality Validation
Over 100+ automated sensor data quality checks to detect and identify data anomalies and inconsistencies in OT/IoT datasets
Time-Series Data Processing
Specialized processing and analysis of time-series sensor data with expertise spanning over 80 human-years of relevant experience
Data Augmentation and Enrichment
Automatic validation and augmentation of sensor data to improve data reliability and quality for downstream applications
Multi-Industry Sensor Data Support
Support for sensor data across multiple industries including Oil and Gas, manufacturing, utilities, pharmaceutical, chemical, and automotive sectors
Scalable Deployment Architecture
Ability to rapidly deploy and scale across multiple assets and data sources with seamless integration into existing data architectures
Data Quality Monitoring
Automated monitoring and alerting across data vitals with out-of-the-box anomaly detection and configurations for identifying data quality issues.
Multi-Data Type Support
Capability to monitor tabular, image, and text data types across machine learning applications and data pipelines.
Privacy-Preserving Architecture
Platform operates on processed data summaries rather than raw data, enabling privacy preservation and no-configuration deployment at scale.
Comprehensive ML Observability
Unified monitoring of model inputs, outputs, performance metrics, data drift, concept drift, and upstream data quality issues in a single platform.
Broad Integration Ecosystem
Integration with popular ML and data tools including Pandas, Apache Spark, AWS SageMaker, MLflow, Flask, Ray, RAPIDS, and Apache Kafka.
Standard contract
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