How to Enlist Big Data to Drive Additional Revenue Streams

Lately there has been a lot of discussion about artificial intelligence (AI) and machine learning (ML) and their potential role as resources for the security industry. From client interfaces, data mining, data processing and monetized services, all have been considered with regard to how they will impact the security business in the coming years.

With the massive amounts of client information that is available, how can security customer preferences be set and tracked by systems integrators and their end users to determine the best use for this Big Data?

In determining what this means for the security industry and to harness such potential, there are two focuses to consider from both integrator and user perspectives — internal and external.

Internally, what can Big Data do to drive efficiencies and profits in day-to-day business; and, externally, how can the information be directed to add revenue streams or increase profits?

The main consideration for internal use is: how can AI drive business intelligence (BI) into everyday operations while still adding value to your customers? The largest asset to be considered is also one of the biggest challenges: finding qualified labor resources.

With low unemployment rates nationwide, along with the increased technology complexity within the security industry, how can BI be leveraged to increase efficiency and capacity within existing labor? The simple answer is to focus on the efficiency of your service teams to increase volume.

Can BI match current technicians’ skillsets, locations and availability to on-demand service needs better than what is happening today? This is most likely the case, within the context of processing data faster around current labor demands within supply capacity constraints.

Imagine being able to drive a 20%-30% efficiency increase in service teams and what that would look like for existing customers, as well as the performance implications for potential customers.

AI engines that are integrated into business systems can help support a systems integration company’s administration team to be able to schedule and respond to customer requests — using all of the raw data, at hand, and turning it into actionable information.

For the same reason BI should be an active part of an integrator’s business strategy, your customers are searching for the same edge externally to deploy within their own business strategies.