Smart data capture removes barriers to data collection and empowers frontline employees with the tools they need for consistency.
Smartphones and other personal mobile devices are key to providing highly useful, real-time data, but few businesses are succeeding in accurately capturing real-time data. What’s needed is smart data capture to overcome this data gap, according to a new report from Scandit.
If companies can collect and analyze information from barcodes, IDs, text, and other objects, they would have a rich source of insight to act on. These real-time insights improve employee decision-making and could help companies increase customer engagement. Even better, integrating smart data capture could help automate workflows and scale.
That approach overcomes outdated methods, which are responsible for many organizations’ real-time data woes. Making data capture smarter companies can support better, more streamlined outcomes.
One key recommendation is to become device agnostic. Solutions should be able to use any device, from smartphones to drones to wearables. Certain dedicated data capture devices like barcode scanners also enable this strategy. The idea is to remove barriers to data collection and empower frontline employees with the tools they need for consistency.
See also: Enabling Real-Time Applications with Change Data Capture
What’s driving the need for smart data capture?
Businesses must let go of many manual processes, which introduce human error and other potential pitfalls. Instead, the resource outlines nine principles for a successful smart data capture, giving businesses a logical place to start and a simple roadmap for understanding how it plays out.
These nine principles cover people, processes, and technology. They help companies address not only the technical side of implementing smart data capture but outline how people in the company directly contribute to a better process.
Companies implementing these changes have a good chance of overcoming the data experience gap and addressing shortcomings in their data insights. When companies can give data an “instant purpose and value,” no data goes to waste, and organizations can make better decisions for customers and other stakeholders.
