Of all the tech trends sweeping across the enterprise, there are two that are arguably more prolific than the others:
- Big Data and advanced analytics: The aggregation and analysis of large quantities of internal and external data.
- Enterprise mobility: The use of mobile endpoints (laptops, tablets, smartphones, etc.) for collaboration and productivity purposes.
Suppose you were to combine both of these trends. What exactly would that look like?
The answer is the ability to leverage the full scope of advanced analytics via a mobile interface for workflow productivity purposes, and new selling opportunities through analysis of data that is unique to mobile endpoints. Let’s take a closer look:
Optimizing mobile business operations
Internal business data may be produced from any number of sources, including the following:
- Enterprise resource planning.
- Customer relationship management software.
- Communication applications.
- Enterprise productivity suites.
Now, imagine if from a single mobile endpoint, you had the ability to view insights derived from the sum of all of these applications’ data sets. Not only that, but the information you’re looking at is up to the second in terms of its accuracy. Let’s take this a step further and say that you wanted to use your mobile business intelligence application to model this real-time data into custom visualizations from a smartphone while sitting in on a board meeting. This level of mobile interaction with BI applications that are driven by Big Data and a powerful analytics engine can create on-the-fly insight, regardless of your location.
Sometime in the not-so-distant future, this caliber of mobile functionality will be the status quo. But for now, it’s an indisputable edge that more enterprises need to start leveraging in order to optimize operational workflows for increased productivity and to improve return on investment.
Just consider the notable example of the NBA’s Golden State Warriors, one of the league’s most competitive franchises in recent years. According to CBS, the Warriors use wearable devices such as fitness trackers to keep tabs on the physical condition of their athletes. They can then use this information to refine their workflows – I mean, workouts.
Enhance mobile selling opportunities
“Accelerate buying behavior with relevant, in-the-moment mobile offerings.”
It’s not just internal enterprise data that can be parsed with advanced analytics to yield mobile-accessible insight. Consider, for instance, that there are nearly 1.8 billion people with Facebook accounts. Many of them may be targets for your brand. Meanwhile, there are about 102 million Yelp reviews in existence. Don’t forget about all the traffic on Twitter, LinkedIn, Trip Advisor and the myriad other online sources of client and consumer information. All of these channels can be mined for data that can be used to create better selling opportunities, much in the same way that internal sources of data can be used to optimize workflows.
Meanwhile, next-generation data mining focuses more heavily on mobile devices by leveraging its unique assets, such as biometric sensors and geo-tagging, to gather information pertaining to motion and location-based advertising, respectively. Let’s go back to the example of basketball.
During games, the Warriors use beacon technology to send notifications to fans in the nosebleed sections when better seats open up. These fans then have the option to pay the difference right then and there for a spot closer to the action. That’s called accelerating buying behavior with relevant, in-the-moment mobile offerings. It’s an extraordinarily lucrative tactic, regardless of your industry, and one that would be difficult, if not impossible, to execute without the use of mobile devices and advanced data analytics.
If that sounds like something you’d like to see implemented in your business, then contact Neudesic today. The sooner you take action, the sooner you can boost your bottom line.