Cookie Settings

By clicking "Agree," you consent to the storage of cookies on your device to enhance site navigation, analyze site usage, and support our marketing efforts. For more information, please refer to our Privacy Policy.

Reject
Agree
Glossary
Data Culture & Processes

Self-service data discovery

Self-service data discovery (SSDD) is an approach that enables users to independently find, understand, and use relevant data.

Meaning in detailContact us now

SSDD platforms provide users with an intuitive interface and easy-to-use tools that enable them to search, filter, visualize, and analyze data.

Self-service data discovery is a powerful tool that can help companies and organizations take better advantage of their data. SSDD can result in faster decision making, improved collaboration, and greater data transparency.

Benefits of Self-Service Data Discovery

  • Democratizing data: SSDD enables everyone in the company to use data, regardless of their technical expertise.
  • Speed up decision making: Users can quickly and easily find the data they need to make informed decisions.
  • Increasing data transparency: SSDD promotes a better understanding of the data available in the company.
  • Improving collaboration: Users can easily share data with others and analyze it together.
  • Reduce costs: SSDD can reduce reliance on IT professionals in data analysis reduce and thus save costs.

Features of self-service data discovery platforms

  • Search function: Users can search for data using keywords, metadata or search for other criteria.
  • Data visualization: Data can be visualized in various formats, such as charts, tables, and maps.
  • Data analysis: Users can filter, aggregate, and analyze data to identify patterns and trends.
  • Collaboration: Users can share data with others and analyze it together.
  • Data security: SSDD platforms must have features to ensure data security and data protection.

More information

Note: Our team benefited from the support of AI technologies while creating and maintaining this glossary.

Abstrakte Form eines Pfades

Contact now
Abstrakte Form eines Pfades

Do you have questions around
Self-service data discovery
?

Let´s TalkContactFollow us on LinkedIn

Passende Case Studies

Zu diesem Thema gibt es passende Case Studies

Alle Case Studies entdecken
Babymarkt is data-driven
eCommerce
5
Minuten Lesedauer

From data audit to individual architecture sketch

eCommerce thrives on data — babymarkt wanted to make even better use of it.
Hub & Spoke Model and Data Roll Out
Medien
4
Minuten Lesedauer

Hub & Spoke Model and Data Roll Out

Program developed for organization, architecture, culture; mission & vision for data organization
A modern data stack for in-depth customer analysis
eCommerce
4
Minuten Lesedauer

A modern data stack for in-depth customer analysis

Modern Data Stack is used for data integration to analyze customer behavior and product data
Development of recommendations for action through PoC implementation
Logistik
5
Minuten Lesedauer

PoC provides the basis for recommendations for action

The PoC forms the basis for further decisions to introduce a modern data platform.

Which services fit to
Self-service data discovery
?

<svg xmlns="http://www.w3.org/2000/svg" width=" 100%" height=" 100%" viewBox="0 0 32 32"><path fill="currentColor" d="M15 20h2v4h-2zm5-2h2v6h-2zm-10-4h2v10h-2z"/><path fill="currentColor" d="M25 5h-3V4a2 2 0 0 0-2-2h-8a2 2 0 0 0-2 2v1H7a2 2 0 0 0-2 2v21a2 2 0 0 0 2 2h18a2 2 0 0 0 2-2V7a2 2 0 0 0-2-2M12 4h8v4h-8Zm13 24H7V7h3v3h12V7h3Z"/></svg>

Reporting & Business Intelligence

Not just beautiful dashboards, but information at a glance.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2976)"> <path d="M60.0625 58.125H56.1875V52.3125C56.1875 50.7709 55.5751 49.2925 54.4851 48.2024C53.395 47.1124 51.9166 46.5 50.375 46.5H42.625C41.0834 46.5 39.605 47.1124 38.5149 48.2024C37.4249 49.2925 36.8125 50.7709 36.8125 52.3125V58.125H32.9375V52.3125C32.9375 49.7432 33.9581 47.2792 35.7749 45.4624C37.5917 43.6456 40.0557 42.625 42.625 42.625H50.375C52.9443 42.625 55.4083 43.6456 57.2251 45.4624C59.0419 47.2792 60.0625 49.7432 60.0625 52.3125V58.125ZM46.5 23.25C47.6496 23.25 48.7734 23.5909 49.7293 24.2296C50.6851 24.8683 51.4301 25.7761 51.87 26.8382C52.31 27.9002 52.4251 29.0689 52.2008 30.1965C51.9765 31.324 51.423 32.3597 50.6101 33.1726C49.7972 33.9855 48.7615 34.539 47.634 34.7633C46.5065 34.9876 45.3377 34.8725 44.2757 34.4326C43.2136 33.9926 42.3058 33.2476 41.6671 32.2917C41.0284 31.3359 40.6875 30.2121 40.6875 29.0625C40.6875 27.5209 41.2999 26.0425 42.3899 24.9524C43.48 23.8624 44.9584 23.25 46.5 23.25ZM46.5 19.375C44.584 19.375 42.711 19.9432 41.1179 21.0076C39.5248 22.0721 38.2831 23.5851 37.5499 25.3553C36.8167 27.1254 36.6248 29.0732 36.9986 30.9524C37.3724 32.8316 38.2951 34.5578 39.6499 35.9126C41.0047 37.2674 42.7309 38.1901 44.6101 38.5639C46.4893 38.9377 48.4371 38.7458 50.2072 38.0126C51.9774 37.2794 53.4904 36.0377 54.5549 34.4446C55.6193 32.8515 56.1875 30.9785 56.1875 29.0625C56.1875 26.4932 55.1669 24.0292 53.3501 22.2124C51.5333 20.3956 49.0693 19.375 46.5 19.375ZM29.0625 42.625H25.1875V36.8125C25.1875 35.2709 24.5751 33.7925 23.4851 32.7024C22.395 31.6124 20.9166 31 19.375 31H11.625C10.0834 31 8.605 31.6124 7.51494 32.7024C6.42489 33.7925 5.8125 35.2709 5.8125 36.8125V42.625H1.9375V36.8125C1.9375 34.2432 2.95814 31.7792 4.7749 29.9624C6.59166 28.1456 9.05572 27.125 11.625 27.125H19.375C21.9443 27.125 24.4083 28.1456 26.2251 29.9624C28.0419 31.7792 29.0625 34.2432 29.0625 36.8125V42.625ZM15.5 7.75C16.6496 7.75 17.7734 8.0909 18.7293 8.72958C19.6851 9.36827 20.4301 10.2761 20.8701 11.3382C21.31 12.4002 21.4251 13.5689 21.2008 14.6965C20.9765 15.824 20.423 16.8597 19.6101 17.6726C18.7972 18.4855 17.7615 19.039 16.634 19.2633C15.5064 19.4876 14.3377 19.3725 13.2757 18.9326C12.2136 18.4926 11.3058 17.7476 10.6671 16.7918C10.0284 15.8359 9.6875 14.7121 9.6875 13.5625C9.6875 12.0209 10.2999 10.5425 11.3899 9.45244C12.48 8.36239 13.9584 7.75 15.5 7.75ZM15.5 3.875C13.584 3.875 11.711 4.44316 10.1179 5.50764C8.52481 6.57211 7.28314 8.08509 6.54992 9.85525C5.81669 11.6254 5.62485 13.5732 5.99864 15.4524C6.37244 17.3316 7.29508 19.0578 8.6499 20.4126C10.0047 21.7674 11.7309 22.6901 13.6101 23.0639C15.4893 23.4377 17.4371 23.2458 19.2072 22.5126C20.9774 21.7794 22.4904 20.5377 23.5549 18.9446C24.6193 17.3515 25.1875 15.4785 25.1875 13.5625C25.1875 10.9932 24.1669 8.52916 22.3501 6.7124C20.5333 4.89564 18.0693 3.875 15.5 3.875Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2976"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Culture

A culture and the processes that make everything possible together.

<svg width=" 100%" height=" 100%" viewBox="0 0 62 62" fill="none" xmlns="http://www.w3.org/2000/svg"> <g clip-path="url(#clip0_5879_2165)"> <path d="M21.3122 46.5H40.6872V50.375H21.3122V46.5ZM25.1872 54.25H36.8122V58.125H25.1872V54.25ZM30.9997 3.875C25.8611 3.875 20.933 5.91629 17.2995 9.54981C13.666 13.1833 11.6247 18.1114 11.6247 23.25C11.4937 26.0658 12.0331 28.8726 13.1985 31.4392C14.364 34.0059 16.1222 36.2592 18.3285 38.0138C20.266 39.8156 21.3122 40.8425 21.3122 42.625H25.1872C25.1872 39.06 23.0366 37.0644 20.9441 35.1462C19.1332 33.7595 17.69 31.9499 16.7408 29.8759C15.7917 27.802 15.3655 25.5269 15.4997 23.25C15.4997 19.1391 17.1327 15.1967 20.0396 12.2898C22.9464 9.38303 26.8889 7.75 30.9997 7.75C35.1106 7.75 39.0531 9.38303 41.9599 12.2898C44.8667 15.1967 46.4997 19.1391 46.4997 23.25C46.6317 25.5286 46.2025 27.8047 45.2499 29.8788C44.2973 31.9529 42.8504 33.7616 41.036 35.1462C38.9628 37.0837 36.8122 39.0213 36.8122 42.625H40.6872C40.6872 40.8425 41.7141 39.8156 43.671 37.9944C45.8757 36.2428 47.6331 33.9929 48.7986 31.4295C49.964 28.8662 50.5042 26.0628 50.3747 23.25C50.3747 20.7056 49.8736 18.1862 48.8999 15.8355C47.9262 13.4848 46.499 11.3489 44.6999 9.54981C42.9008 7.75067 40.7649 6.32352 38.4142 5.34983C36.0635 4.37615 33.5441 3.875 30.9997 3.875Z" fill="currentColor"/> </g> <defs> <clipPath id="clip0_5879_2165"> <rect width="62" height="62" fill="currentColor"/> </clipPath> </defs> </svg>

Data Strategy

When what happens how and why — that explains the data strategy.

Follow us on LinkedIn

Stay up to date on the exciting world of data and our team on LinkedIn.

Follow on LinkedIn
Abstrakter Pfad des Data Institutes