District of Columbia Mayor Vincent Gray and members of his economic development staff participated in a meeting early this year with a homegrown technology startup that provides customer intelligence by scraping and analyzing comments submitted via social media platforms like Twitter and Facebook. With a client list made up primarily of restaurants and hotels, newBrandAnalytics had found a successful niche with its proprietary software that turns customer experience data into actionable information that businesses can use to improve their service and operations.
How It Works
NewBrandAnalytics uses a proprietary algorithm to generate actionable data analytics from social media activity, using this four-step process:
Data acquisition – All relevant online commentary is captured on a location-specific basis.
Processing –Every word of every post is read to extract each and every insight.
Analysis – Algorithms appropriate to each industry organize insights into appropriate categories.
Dashboards – Several layers of analysis are presented in an easy-to-read dashboard style.
The idea is that the more specific the feedback, the likelier the agency will be able to act upon it and make strides to improve. A communications effort is now in progress to encourage detailed comments from the public. Ribeiro explained that the act of relaying information about the public’s general distaste for the DMV will weigh into the overall agency evaluation, but it doesn’t help administrators make things better.
The mayor’s office intends to publish in July an initial set of grades for each department. In the fall, 10 additional departments will be added to the Grade.DC.gov platform. Future plans also include a mechanism for providing a real-time view for the public into each agency’s current grade. As of now, designated users in the mayor’s office and from each agency have access to the customer data.
City staff log into a website offering a real-time view of feedback to date. Users can see where comments are coming from, as well as general and specific views of the nature of the feedback. Employees can also access individual comments in order to respond. In the first 11 days of the program, nearly 250 comments were received.
“The key for us is to take that data and make it actionable,” Ribeiro said. “We're not really so much concerned about what the initial grades are. We're concerned about the trajectory of the grades.”
D.C. officials believe their program is the first of its kind in the nation. They are working closely with newBrandAnalytics to establish exactly how the software’s algorithm will generate the grades it seeks for its departments.
“Because we're the first government to ever do this, there's no benchmark for us to start with,” Ribeiro explained.
Image: A sample screen shot shows the kind of data restaurant customers receive. Courtesy of newBrandAnalytics.
Ganeshan reported that the District of Columbia is newBrandAnalytics’ first public-sector client, but Ganeshan said the software can effectively monitor customer insights across many different kinds of industries.
“These organizations that use our software care about customer feedback, they care about their brand and the appearance of their brand in the marketplace, and they take it very seriously,” Ganeshan said.
While the terminology may differ, it’s easy to see how these goals translate to the public sector. With the move toward increased transparency and open government, other government agencies may follow suit.
“We are thrilled to work with an innovative, District-based company that is part of our fast-growing tech-business sector on this groundbreaking project,” said Gray, in a statement released when Grade.DC.gov launched on June 13. “We are excited about applying cutting-edge technology from the private sector to the task of ensuring that D.C. residents receive the best customer service possible from their government.”