Make Your Data Visible with Data Discovery
Your enterprise data may be spread across different systems—databases, files, applications, reporting tools, log records, and more. Data discovery helps clarify this fragmented landscape, enabling you to find, understand, and prepare your data for analysis.
Data discovery is the first—and most critical—step in business intelligence (BI), analytics, data governance, and modern data platform initiatives. Because sound decisions start with finding the right data first.
If your goal is to accelerate reporting processes, improve data quality, create a single trusted view, and strengthen a data-driven decision-making culture, data discovery is the right place to start.
What Is Data Discovery?
Data discovery is a systematic process that reveals—within an organization (and, when needed, across external sources as well):
- Where the data is (data inventory)
- What it contains (field/column meanings and scope)
- How good its quality is (missing values, inconsistencies, duplicates)
- Which business questions it can answer (use cases)
- Whether it contains sensitive data (need for KVKK-focused classification)
Why Data Discovery?
Data teams and business units often run into the same questions:
- “Why is the number in this report different from the one in another report?”
- “Where is the data we’re looking for—which system is it stored in?”
- “Which fields are trustworthy, and which are missing or incorrect?”
- “Does this data fall under KVKK, and who can access it?”
- “Why do analytics projects take months?”
Data discovery gets to the root causes behind these questions, making your data initiatives more predictable and manageable.
What Is Done in the Data Discovery Process?
By reducing the time spent “searching for data” in data projects, data discovery helps you get started faster; by minimizing repetitive and conflicting metrics, it enables more reliable reporting; by identifying missing or inconsistent fields early, it improves data quality; and by clarifying data ownership and definitions, it strengthens data governance. From a KVKK perspective, making sensitive data visible also allows you to plan the right access, security, and governance steps more effectively. For these reasons, data discovery forms a critical foundation for IT and Data Management teams, BI/Reporting teams, Data Science/Analytics teams, Risk-Compliance-Internal Audit teams, and business units such as Finance, Operations, Sales, and Marketing