IBM Data Product Hub: Customers Get Business Intelligence

Through the packaging of carefully selected, superior data assets into data products, companies may contribute to the efficient, regulated, and uniform supply of data

Through the packaging of carefully selected, superior data assets into data products, companies may contribute to the efficient, regulated, and uniform supply of data

Through the packaging of carefully selected, superior data assets into data products, companies may contribute to the efficient, regulated, and uniform supply of data

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

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

Decision-making that is delayed: Slow data availability causes delays in making strategic decisions

Inaccurate insights: When uneven data quality undermines the validity of analysis and reporting, Lost productivity: Spent time and money looking for information that isn’t easily accessible