Unlocking the Power of Data-Product-as-Service

Data-product-as-service is a business model where companies offer data products as a service to their customers through a subscription-based model, allowing them to generate recurring revenue streams, provide customers with up-to-date and relevant data, and maintain control over their data. Companies can use different business models such as pay-per-use, subscription-based, or freemium to monetize their data assets and benefit from a recurring revenue stream.

Data-Product-as-Service

As 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.

From the blog

Build Dataproducts

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Enterprises are most successful when they treat data like a product. It enable to use data in multiple use cases. However data product should be designed differently compared to software product.

Be Data Centric and well governed

Generative AI is one of approach to build data product

Generative AI has enabled many transformative scenarios. We combine generative AI, AI, automation, web scraping, ingesting dataset to build new data products. We have expertise in generative AI, but for business benefit we define our goal to build data product in data centric manner. Our Product KREATE enable creation of data, user interface, AI assistant. Click to see it in action.

Well Governed data

Data Lineage and Extensibility

To build a commercial data product, create a base data product. Then add extension to these data product by adding various types of transformation. However it lead to complexity as you have to manage Data Lineage. Use knobs for lineage and extensibility

Build Budget Plan for GenAI

CIO Guide to create GenAI Budget for 2025

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What is KREATE and KreatePro

Kreate - Bring your Ideas to Life

KREATE empowers you to create things - Dataset, Articles, Presentations, Proposals, Web design, Websites and AI Assistants Kreate is a platform inclide set of tools that ignite your creatviity and revolutionize the way you work. KReatePro is enterprise version.

What is KONTROLS

KONTROLS - apply creatvity with responsbility

KONTROLS enable adding guardrails, lineage, audit trails and governance. KOntrols recogizes that different use cases for Gen AI and AI have varying levels of control requirements. Kontrols provide structure to select right controls.

What is KNOBS

KNOBS - Experimentation and Diagnostics

Well defined tunable paramters for LLM API, LLM fine tuning , Vector DB. These parameters enable faster experimentation and diagosis for every state of GenAI development - chunking, embedding, upsert into vector DB, retrievel, generation and creating responses for AI Asistant.

Kreate Articles

Create Articles and Blogs

Create articles for Blogs, Websites, Social Media posts. Write set of articles together such as chapters of book, or complete book by giving list of topics and Kreate will generate all articles.

Kreate Slides

Create Presentations, Proposals and Pages

Design impactful presentation by giving prmpt. Convert your text and image content into presentations to win customers. Search in your knowledbe base of presentations and create presentations or different industry. Publish these presentation with one click. Generate SEO for public presentations to index and get traffic.

Kreate Websites

Agent to publish your website daily

AI powered website generation engine. It empower user to refresh website daily. Kreate Website AI agent does work of reading conent, website builder, SEO, create light weight images, create meta data, publish website, submit to search engine, generate sitemap and test websites.

Kreate AI Assistants

Build AI Assistant in low code/no code

Set up AI Assistant that give personized responss to your customers in minutes. Add RAG to AI assistant with minimal code- implement vector DB, create chunks to get contextual answer from your knowlebase. Build quality dataset with us for fine tuning and training a cusom LLM.

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Innovate with experiments

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RAG For Unstructred and Structred Data

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Why knobs matter

Knobs are levers using which you manage output

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Our Products

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