A subscription based data-at-your-service (DAYS) model providing data at different level of processing and value. It builds logical data warehouse, data lake house and present through a storefront interface where data users can shop to find best-fit data to meet their needs.
Data Warehouse, in the past, used to be considered as single source of truth for all of organization’s information. It was meant for internal use. DataMeter is a solution whereby an organization can monetize by providing subscription level service. This model works well for dealer or agent based business. DataMeter collects, combines and aggregates data for consumption by subscriber. It provides an interface to manage catalog of data grouped by subject area e.g. finance, customer etc. along with data at different processing levels e.g. raw data, integrated data, aggregated data etc. It also manages subscriptions to catalog items. DataMeter tracks usage of different levels of cataloged data passing through logical data warehouse and charges subscriber periodically.
Manages enterprise logical data warehouse
Provides gateway to access data by internal and external users through REST API/Direct connectivity
Manages catalog and subscription
Dashboards of consumption of data by subscriber
Virtual Data Warehouse
REST API service for data warehouse objects
Real time analytics
Metadata Catalog
Data Explorer
Manage User and Subscription
Manage Catalog Item Ratings
Tracks Data Users
Dashboards of Usage Analytics
Monetization of Data Warehouse which was viewed as internal technical asset only
Real time data analytics
Rapid implementation of data warehouse and data marts
20% reduction of data warehouse efforts
Automated data cataloging and data lineage
Agile data service
Denodo, Python, Javascript