Customer service is the biggest priority of every business and it is imperative to know which problems AI is suited to solve for the major business stakeholders. This article gives an insight on how AI powered chatbots help CRM and the applications in mortgage industry. Applications of ChatGPT in mortgage industry The AI generative tool,…
In previous articles, we discussed the basics of CRM analytics, how to build dashboards with CRM analytics and demonstrated a sample dashboard built within the platform. Here, we can see a sample Lead dashboard created to get interactive views of the business data. The dashboard basically contains four widgets representing four different information out…
CRM Analytics dashboard continuously monitor key metrics of business, analyzing the results by key dimensions, like region, products, amount etc. The charts built within the dashboards are interactive and real time. Information is presented in an easy to read format. CRM analytics dashboards provide many ways to display any type of information like charts, map…
CRM Analytics formerly known as Tableau CRM is a platform which connects data from multiple sources and enables creating interactive views of that data. Its intuitive point-and-click visual interface helps everyone in the org getting immediate access to the powerful data insights derived by means of the various assets. Here we discusses the basics of…
Leads are potential customers of a company. In Salesforce, information about leads is stored in Lead records. We can gather leads through various lead sources like Web, Phone enquiry, past happy customers, partner referrals so on and so forth. Leads will become assets to your company once they gets converted into a contact or account…
In a changing competitive landscape, you need more than reports, you need Mortgage Banking BI tools that helps you take action. Ellie Mae found that it is far more common for large lenders to have a clearly defined data and analytics strategy (60%), compared to small and mid-size (55%) lenders, who are more likely…
A comprehensive loan management software can improve the quality of services and productivity, as well as help lenders make their operation more agile and transparent. This leads to operational costs reduction and better customer service. But it works even better if it’s enhanced with software that simplifies the convoluted accounting processes. It could prove to…
As borrower demands and origination costs are rising, mortgage lenders are turning to data, analytics, and artificial intelligence (AI) in order to make better and faster business decisions. The implementation of AI in mortgage industry will help mortgage lenders to use analytics for making real time operational business decisions such as identifying fraud detection, assessing…
Mortgage lender can infuse every major decision to drive revenue, to control costs or to mitigate risks with data and analytics. Integrated risk management using risk analytics can trigger responsible and profitable growth for mortgage banks. Risk analytics in mortgage banking helps mortgage banks to identify, quantify and mitigate risks using data and analytics. Functional…
Big part of digital transformation in mortgage industry drills down to the number of data driven initiatives by mortgage lenders and banks namely AI/ML efforts, predictive analytics, data modeling and CRMs. Explosive growth in terms of total data volume poses many operational and data challenges in mortgage industry. Data challenges in mortgage industry The total…