IBM Data Product Hub: Customers Get Business Intelligence
How IBM Data Product Hub can help you realize the full potential of business intelligence. Users of business intelligence (BI) often have difficulties obtaining the relevant, high-quality data required to support strategic decision making.
Data Product Hub
These experts run across a number of problems while trying to get the information they want, such as:
Problems with data accessibility include the difficulty to find and access certain data because it is stored in isolated systems or requires many permissions, which causes delays and bottlenecks.
Inconsistent data quality: Analyses and reports may be at risk due to the lack of assurance about the dependability, consistency, and correctness of data gathered from diverse sources.
Time-consuming data requests: The reporting process may be hampered by delays of days or even weeks resulting from the dependence on data engineering teams to complete data requests.
Lack of openness on terms of data usage: If data is utilized incorrectly or beyond its intended scope, the lack of clear norms and regulations governing data use may put compliance at risk.
The difficulties posed by these issues may significantly affect an organization’s capacity to make wise choices. Consequences consist of:
Lost productivity: Spent time and money looking for information that isn’t easily accessible.
Inaccurate insights: When uneven data quality undermines the validity of analysis and reporting.
Decision-making that is delayed: Slow data availability causes delays in making strategic decisions.
Risks associated with compliance: Putting companies at risk of penalties and harm to their reputation for not being transparent about the rules of data usage.
The path ahead: Data goods made available via data marketplaces
Organizations may get faster, more dependable access to high-quality data by using the power of data markets and data products, which will eventually lead to quicker and better-informed decision-making. Data markets enable businesses to bundle and distribute data as data products, which helps to address these issues.
Data products are collections of dashboards, repeatable queries, and controlled, regulated datasets. For analytics, artificial intelligence, and other crucial data tasks, they are made to be easily used by corporate leaders, business analysts, data analysts, and other data consumers. These goods may be controlled by pre-established data contracts and are readily discoverable and consistent.
The IBM method
Data producers may build and manage data products using IBM Data Product Hub, a data sharing service. Important characteristics including business domain, access level, distribution methods, suggested use, and data contracts are all considered while curating these items. It makes data sharing and access easier by enabling users of data lakehouses and data warehouses to bundle their data assets as data products.
Controlled data exchange
With a clear knowledge of use rights and restrictions, the data contract functionality helps guarantee that data may be shared with customers in a regulated and transparent manner. Data producers may increase productivity by eliminating the need to continually fulfill comparable data requests by packaging assets as reusable data products.
Quick access to superior quality data
Customers no longer have to wait as long to get high-quality data from various data sources thanks to this method. Because the data products are reusable, data lakehouse storage and processing expenses for well chosen assets are reduced.
Improved accessibility and efficiency
The ability to use data from a data lakehouse is improved by the capacity to bundle assets kept in data lakes as data products on IBM Data Product Hub. Accessible across the company, data goods alleviate problems for technical and commercial producers alike.
Streamlined transmission of data
Data producers may use the flight service delivery technique to supply data products to data consumers via data extract or live access. In addition to placing a subscription request, data consumers may examine business use cases, important features, and data contracts related to a data product.
Data products and BI reports
With the current version of IBM Data Product Hub, a technical data consumer may use data products given via the flight service delivery mechanism, which allows live data access without moving data, to build business intelligence reports. In Microsoft Power BI, the user may establish a “Python script” connection and begin generating BI reports for more BI analysis on data products.
The JSON string that was supplied with them during data product delivery is used by the user to authenticate themselves to the server when the Python script executes in Power BI. This enables Power BI users to have real-time, read-only access to data assets kept in a data lakehouse.
IBM’s new data sharing software provides BI customers with a cutting-edge solution to get over the conventional problems associated with data access. Through the packaging of carefully selected, superior data assets into data products, companies may contribute to the efficient, regulated, and uniform supply of data. As a result, BI users are able to produce reports more quickly and with more assurance about the integrity and control of the data they are utilizing, which eventually leads to improved business results.
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