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