Understand your data footprint Quickly find and assess data risks across your entire business. No spreadsheets required.
A modern and scalable approach to data mapping, data discovery, and data intelligence
Data discovery and data classification are foundational for privacy and governance programs. But traditional methods are problematic.
Manual surveys and spreadsheets are incomplete and immediately out-of-date. And they're not integrated with privacy software, making risk assessments, ROPAs, and PIAs difficult.
Today’s privacy landscape is complex enough. Modern privacy programs require efficient and dynamic data discovery that flexibly connects to data sets and AI models, offers centralized control, and enables privacy use cases such as data subject rights fulfillment, security controls, records of processing, and risk assessments.
Ketch data mapping and discovery: Work smarter, not harder with comprehensive tools
Data mapping and system discovery
Ketch data mapping and discovery scans your data systems and classifies data sets, using responsive machine learning models, giving you a complete and growing picture of data across your organization.
Deep data discovery and classification
At a granular level, understand the types of data you have within every internal and third-party system. Know where every scrap of sensitive and personal data lives. Native integration to Ketch consent and preference management means people's privacy choices are updated in real time.
Data intelligence and reporting
Understand your risk holistically. With our native integration to Ketch privacy management software, you enable key privacy use cases like ROPAs and DPIAs, as well as centralized data governance policy-setting and enforcement.
The Ketch Trust by Design Platform includes everything you need to deploy a scalable data discovery and data classification solution for your organization.
“I’m glad to be partnering with Ketch, who are on the forefront of the data access and privacy revolution.”
CIO Watch an Interview on YouTube Measurable ROI
A dynamic, integrated data discovery and classification toolset that can connect to internal and external systems provides extensive ROI benefits.
Efficiently scale your privacy program against increasing regulations, and drive privacy team productivity of 20-30%.
Drive 30% reduction of data surface area with better data discovery, reducing breach risk and lowering discovery cost in the event of a breach.
70% operational savings over traditional, manual survey-based data discovery.
Data discovery: the foundation of your data privacy program
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Simplifying your privacy program has never been easier. Begin your journey to simplified privacy operations and granular data control across the enterprise.
What is data discovery and classification?
Data discovery and data classification are two separate processes that go hand-in-hand in business decision making and gathering insights. Data discovery involves surveying databases and file servers to locate data that could potentially contain sensitive and regulated data. Data classification, meanwhile, ensures the data discovery process runs smoothly and involves categorizing the different types of data pulled from the discovered data sources, through a predetermined set of patterns, keywords, or rules. The discovery process involves analytics, visualization, interpretation, and secure management of the information.
How do you use data discovery in your business?
Data discovery requires you to undergo a five-step process. Smart data discovery is also iterative, which allows your company or organization to continue collecting, analyzing, and developing your data discovery approach over time, based on their results and feedback from various enterprise stakeholders. Implement smart data discovery into your business and transform the way you use data and gather insights.
The first step in data discovery requires you to begin with a clear purpose, such as seeking the resolution of an ongoing issue, identifying market opportunities, understanding customers, and addressing other business objectives. This requires you to explore and consider what kinds of data should be identified, while also remaining open to contingent insights from the analysis. Some businesses do manual data discovery, but there are a variety of software and tools available that can help in the discovery process. This is followed by combining data from relevant sources such as survey data, cloud applications, site information, and user databases. Effective data discovery requires you to integrate data from various sources because single data streams seldom tell the entire story. This process is often referred to as data crunching. The third step of advanced data discovery involves cleaning and organizing the data to prepare it for analysis. This allows you to eliminate noisy data to achieve a clearer direction from your data analyses. The fourth and perhaps the most crucial step in smart data discovery is analyzing the data. By using the information combined from multiple sources, integrated with external data and prepped for analysis, you are given a complete perspective of your business operations and the ability to solve the hurdles that are detrimental to the success of your enterprise. Lastly, you will need to relay the insights you've arrived at to your organization. This can be done through visual presentations like charts and maps. Effective data visualization is key when presenting information to management and top business executives who have a financial interest in the organization.
Who uses data discovery software to secure data?
Organizations that handle large quantities of data across a multitude of datasets would need to perform their data discovery process with the help of automated software and tools. Furthermore, businesses that need to comply with government or industry regulations such as the GDPR and CCPA use data discovery to locate and/or identify sensitive business data, personal information, customer data, or protected health information.
What do data discovery and classification tools do?
Most data discovery tools allow you to select specific business users and provide a code-free environment for data discovery, allow access to various data sources, promote visual and comprehensible data representations, provide options for sharing insights with other members of your organization, and most importantly, foster a seamless integration of data preparation and analytics. The versatility of data discovery tools make them a great option for a variety of users whether it be management, discovery experts, analysis teams, and visualization specialists.
Why choose Ketch for discovery and data security needs?
Ketch automates the arduous and complicated process of data discovery through the scanning of internal data systems, classification of data sets through machine learning, and centralization of data governance policies using no-code/low-code software and interfaces. We see to it that the products and solutions we develop get rid of smart data discovery complexity at all costs. Here at Ketch, we’re dedicated to the simplification of data control, regardless of new privacy laws or new governance mandates that require business compliance.