Agents and brokers have been using a personalized sales technique for decades. They contain a wealth of data regarding goods, markets, and costs. However, it became crucial for agents and brokers to maintain relevance as the IoT, big data, and analytics took center stage. Agents and brokers face existential challenges as a result of mobile customers and a mobile workforce. Is this the end of the road for brokers and agents, as many may speculate?
Financial services executives may think about doing away with the function of agents who bring in new clients by offering discounts or lower premiums. Wait a little longer before sending the order for execution though, as they still have the firepower. A focused investigation in this area is needed.
Can agents remain useful?
We now need to determine whether agents and brokers are still important. First of all, they have long-standing relationships with several accounts that they have diligently cultivated. The brokers themselves are increasingly mobile and knowledgeable about the IT tools needed to grow their clientele. They pursue client acquisition more quickly thanks to IT apps for smartphones. In doing so, they:
• Speak with their potential customers and inform them of the products.
• Offer insightful guidance on the most practical product for them.
• Assess the effectiveness of securities.
• Establish connections once you have a thorough understanding of all aspects of client relationships.
We are now approaching the crucial component. Today's technological obsolescence renders the function of agents unnecessary. If mobile clients completely replace customer service workers and communicate with the business directly, then it is somewhat true. However, the viability of that notion is in dispute. We are all aware that, with a few notable exceptions, prioritizing tasks like paying a premium or purchasing stocks may not be desirable to everyone due to hectic schedules. People are not particularly self-motivated, which is why agents fill this gap with their relationship-nurturing abilities.
People are a little frightened and make hesitant decisions in areas like spending money. This cannot be interpreted as weakness; rather, it is wisdom since wise people think things over carefully before acting. In what ways does this affect the financial services industry? Services in the financial sector may be passionate about IT tools that enable clients to make educated decisions. But what precisely is the situation? People will use mobile technologies for all of their research, but many won't make a final purchasing decision since a resource person is required to provide pertinent and contextual information on goods and services. Once the level of curiosity reaches its peak, the capacity to seal the deal should come next. Who can take the position of brokers or agents who have been doing this for years?
The readers may now have a better understanding of the importance of agents in closing deals. Obtaining business is not a typical transaction. Making a decision takes a lot of work and frequent client follow-up. Simply using SMS alerts won't cut it. Having stated that, let's think about the innovative ways that technology can be employed with agents in this time of technological disruption. We also need to think about the technologies that can be used to empower agents.
Agents can use IT tools to go into survival mode.
The most essential resource for surviving in the unpredictable markets of today is actionable information. Agents that put in extra effort to forge connections and close transactions unquestionably need the newest IT tools, more specifically BI, big data, and analytics solutions to make crucial choices. In the insurance industry, BI technologies can assist agents and brokers in gaining important client insights and comprehending their propensity to offer specialized goods or solutions. They will be able to manage relationships well with the use of BI dashboards. The same is true for banking and investing firms that employ outside partners for company development.
Analytics are used in a variety of contexts, including business analytics, context analytics, and content analytics. Unstructured data, such as call center logs, sensor data, audio, and video data, can be examined in content analytics to track trends and consumer responses, among other things. Data is evaluated in context analytics to comprehend the context, which is essential to making context-based decisions. Through statistical analysis, patterns, behaviors, or trends are found in business analytics. Predictive analytics is the last but certainly not least because it uses methods like statistical analysis, regression analysis, correlation analysis, cluster analysis, social media analytics, etc. to build new products.
Agents are information collecting catalysts because they move with people and start conversations about goods and services. This more compelling justification prevents one from drawing the conclusion that agents are obsolete in the age of disruptive technologies. However, agents should also use IT to their advantage if they want to survive and the financial services industry as a whole. Time will reveal the rest."""