Garbage-in garbage-out is the calling card for data quality.
As such, organizations have spent a lot of time and effort ensuring systems have high quality trusted data. This strategy worked when stakeholder, partners and customers operated in silos. As the digital ecosystem emerges and the walls come down between systems, data quality issues are once again coming to light as data is shared across business processes and stakeholders.
Unfortunately, when bad data happens, it is too late and it impacts the ability of getting products to market, knowing the customer, or creates regulatory issues.
Learn how to succeed at getting the right data to the right person at the right time in the right format by:
- Recognizing the factors that cause data quality challenges in complex business ecosystems
- Creating processes to address data quality issues and govern globally and locally
- Investing in technologies to create data that is trusted and relevant to the business