By Ashley Adelman | Posted on July 13, 2018
According to IBM, poor data quality costs U.S. businesses $3.1 trillion annually. This is problematic for enterprises under increased pressure to collect and use data to create more personalized customer experiences, improve business intelligence, and leverage the Internet of Things (IoT). To fully embrace IoT, enterprises must cut off bad data pipelines and prepare for a compounded stream of identity data from consumers and their smart devices.
In a recent webinar on how to scale your identity directory for complex IoT use cases, Janrain CEO Jim Kaskade and Founder Larry Drebes discussed, in part, how an enterprise can maintain a clean database. Here are a few tips for enterprises looking to clean up and consolidate their disparate data warehouses and registries:
Once you clean your database, you need to make sure the data flowing in is clean. Often, an enterprise will have strong data validation on the DUI layer, but less robust validation at the database level. Another common mistake is managing multiple applications that are not using a common interface. To avoid these issues, enterprises should implement a standardized, application-level validation to ensure only good data enters their warehouses.
Large enterprises manage hundreds of applications that are often developed independently of one another. In this case, you should rely on a centralized cloud directory with robust enforcement policies across applications. This will force all application developers downstream to follow standard best practices.
To clean up your data, you don’t need to have such strict validation that you put limitations on your data elements. Realistically agencies and others will need clearance to create their own data elements with quick turnarounds. So, to manage these occurrences without compromising your data integrity, use a delegated token with certain access to create new data fields - temporarily or permanent - that will not corrupt your master schema.
By taking all these measures and with the right tools, you will be able to access omnichannel analytics that provide well-rounded perspective on performance, security and other omnichannel insights.
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