I aim to enable my customers to achieve better business outcomes through an advanced analytics platform that unifies real-time streaming analytics, historical analytics and predictive analytics that leads to intelligent actions through predictive intelligence.
One example of this was while I was managing the M2M Emerging Products at Qualcomm. In the construction equipment tracking space, there was a lack of unity among the industry tools. There were a wide mixture of vehicles and tools each with their own health management databases. The client had their own internal databases as well as external databases coming from third parties. None of these databases were interconnected which made the solutions ineffective and too expensive. By combining these databases the customers could use advanced analytics to create predictive intelligence (as shown here) which made their business much more efficient and cost effective.
