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What is Opsware?

The Opsware platform is being utilized by both legal and engineering teams to seamlessly weave privacy processes into their operations, thereby simplifying compliance with current privacy laws. This solution eliminates the necessity for coding, which in turn alleviates the burdensome responsibilities of creating data maps and managing vendor relationships. With our advanced data discovery and classification tools, you can quickly pinpoint data sources with ease. Furthermore, our automation capabilities enable efficient management of customer data requests and modifications regarding consent across all data systems and associated vendors. By integrating your teams through one unified tool and workflow, you can effectively track the movement of personal data within your organization, thereby operationalizing compliance and increasing risk visibility. We make it incredibly simple to generate processing records, allowing you to accomplish this task with a single click. Throughout this process, your organization retains complete control over its data. Deploying our virtual appliance on-premises ensures that personal data remains securely housed within your environment. In an era where every business prioritizes data management, collecting personal data is an essential component of this strategy. With Opsware, not only can you optimize your operations, but you can also significantly enhance your privacy practices to a level that surpasses previous capabilities, making it an indispensable tool for today's data-driven landscape.

What is Io-Tahoe?

Focusing on data automation can significantly accelerate and improve the digital transformation journey of your organization. By adopting data automation techniques, you can enhance customer support and optimize operational workflows. This strategy frees employees from tedious, repetitive tasks, allowing them to focus on solving complex issues and creating value. It also quickens data-driven projects by enabling both non-technical staff and data experts to effectively organize, categorize, and manage data. Propel your digital transformation initiatives by automating a large portion of data management, aided by human-guided machine learning. This can increase the pace of business outcomes through accurate and comprehensive data that is automatically organized for visualization and analytical purposes. Additionally, the solution is designed to integrate effortlessly with your organization's essential systems and current applications, thereby streamlining data management, communication, and response workflows. Once implemented, Data Automation by Io-Tahoe effectively manages repetitive, high-volume data activities, allowing teams to redirect their focus towards more strategic projects. This capability not only boosts productivity but also nurtures a culture of innovation and creativity within the organization, ultimately leading to sustained growth and competitive advantage.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
Google
HubSpot CRM
HubSpot Customer Platform
Jira
Mailchimp
Microsoft 365
QuickBooks Online

Integrations Supported

Amazon Web Services (AWS)
Microsoft Azure
BMC AMI Ops
Cohesity
Google Cloud Platform
Hitachi Content Platform
Oracle Cloud Infrastructure
SAP Cloud Platform
Snowflake
Wipro Cloud Studio

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Opsware

Company Location

United States

Company Website

www.opsware.co

Company Facts

Organization Name

Io-Tahoe

Date Founded

2017

Company Location

United States

Company Website

www.iotahoe.com

Categories and Features

Categories and Features

Data Governance

Not specified

Data Mapping

Not specified

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