Data products 101 and slides
DATA PRODUCT DEFINITION |
3 IMPORTANT THINGS USER,DATA |
HARVARD BUSINESS REVIEW ALGO |
HOW TO DESIGN DATA PRODUCTS |
SOFTWARE PRODUCT VS DATA PRODU |
DATAKNOBS APPROACH FOR BUILDIN |
BUILD HIGHER LEVEL CONCEPTS BY |
Data products 101 and overview |
Data as product |
Benefits of Data-as-Product for CIOsAs a data architect, I believe that CIOs can benefit greatly from implementing a data-as-product strategy. By treating data as a product, CIOs can:
Benefits of Data-as-Product for EnterprisesEnterprises can also gain significant benefits from a data-as-product approach, including:
Planning for Building Data-as-ProductWhen planning for building a data-as-product strategy, CIOs should:
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Data as product service |
Data-Product-as-ServiceAs a data architect, I would like to describe the concept of data-product-as-service to experts. Data-product-as-service is a business model where companies offer data products as a service to their customers. This means that instead of selling data as a one-time product, companies offer access to their data through a subscription-based model. Advantages: The advantages of data-product-as-service are numerous. Firstly, it allows companies to generate recurring revenue streams. Secondly, it provides customers with access to up-to-date and relevant data. Thirdly, it allows companies to maintain control over their data and ensure that it is being used in a responsible and ethical manner. Business Models: There are several business models that companies can use for data-product-as-service. One model is the pay-per-use model, where customers pay for the data they use. Another model is the subscription-based model, where customers pay a monthly or yearly fee for access to the data. A third model is the freemium model, where customers can access a limited amount of data for free, but must pay for additional data. Benefits: Companies can benefit from data-product-as-service in several ways. Firstly, it allows them to monetize their data assets. Secondly, it provides them with a recurring revenue stream. Thirdly, it allows them to maintain control over their data and ensure that it is being used in a responsible and ethical manner. Fourthly, it allows them to provide their customers with up-to-date and relevant data. |
Capabilities/platform requie to build data as products in an enterprise |
Core capabilityOnce you build new dataset, there are additional capabilities require for On top of these you also want feedback on data/ recommendation of data When an eneterprise build data product, it also pay attention to |
Co-pilot-aiase Copilot-for-data-products Data-as-product-cio Data-as-product Data-product-as-service Data-product-capabilities Genai-for-data-products Optimal-transport Test-plan-for-data-products