The data is used in various different ways for various different purposes. So it depends on how the data is organized and indexed.” Many agencies are moving to a multi-layered approach that combines technical skills, data, and human-computer interaction. All three factors are important to improving data accuracy and analytical capabilities. “We have both manual methods and technical help running different algorithms as the data goes through the system,” Brandon said.
We want to do more predictive analytics
With it to help run our programs better.” In addition to ensuring accuracy, it’s important that staff adhere to the appropriate regulations and guidelines. “The reason for collecting the data is not important; the rules and requirements around the intended use of the data are more important,” Iannotta said. “Have data standards,” Brandon said.
In some data systems, if you write
Instead of ‘street,’ it can be very difficult to reconcile those differences. Having appropriate data standards in place is critical. Sometimes overseas chinese in worldwide data there are even different business owners who want to standardize data in their own way. As we’ve seen across government, we have to make sure there’s agreement on business lines and data standardization.
To ensure this standardization,
Agencies can combine their data scientists and technology with accuracy checks against larger databases. “What we do as a data company onedrive: integrated with the microsoft ecosystem is provide a very large database that agencies can use to do accuracy checks,” Straub said. “Organizations have multiple registries and data layers. We can take that data and compare it to our databases (i.e., addresses, names, numbers) to help improve the accuracy of the business data.
Such a database combined with
The right technology and human interaction, can greatly improve an agency’s business data strategy. At the end of the day, everyone knows the importance rich data of data. But managing the quantity and quality of data is another challenge in itself. With the right multi-layered approach, governments can better manage their business data.