Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Big Data Leads To Startling Advances In Mortgage CRM Software
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > CRM > Big Data Leads To Startling Advances In Mortgage CRM Software
Big DataCRMExclusive

Big Data Leads To Startling Advances In Mortgage CRM Software

Sean Mallon
Sean Mallon
7 Min Read
mortgage CRM software
Shutterstock Licensed Photo - By Alexander Supertramp
SHARE

Big data has had a profound impact on the mortgage industry. TheMReport.com identified some of the biggest ways that big data is changing this profession. One of the biggest developments in the mortgage industry is the utilization of big data to manage CRM software.

Contents
  • The Growing Role of Big Data in Mortgage CRM Software
  • How Can Mortgagers Choose the Right Big Data Solution to Handle their CRM
  • 1. Understand the Unique Problems that Face Your Business
  • 2. Jot Down the Features you Need with Your Target CRM
  • Lead Generation
  • Marketing Tools
  • Usability
  • 3. Search For Affordable Software
  • 4. Opt for a Mobile-Friendly CRM
    • Big Data Makes Mortgage CRM Technology More Reliable

The Growing Role of Big Data in Mortgage CRM Software

Dennis Tally, Director for the Single-Family Data division with Freddie Mac, has talked about the relevance of big data in the mortgage industry. Tally astutely pointed out that data is used in a number of different ways. Mortgage companies like Silver Leaf use vast sets of internal data, which include bank statements and loans on clients. They also use third-party data from the IRS, credit bureaus and online resources.

All of this information can be used in a variety of ways. One of the biggest applications is with CRM software. Mortgagers can use big data to segment customers better, build stronger relationships and significantly improve the ROI of their strategies.

How Can Mortgagers Choose the Right Big Data Solution to Handle their CRM

So, you’ve determined that your mortgage business needs a reliable CRM solution. It’s a great move and one that will help scale your business to new heights. Big data has made CRM tools more versatile than ever, so mortgagers will get a higher ROI from them.

More Read

Analytics 2020: What will Data Analytics look like in a decade?
How Are Data Centers Changing?
Who Owns the Data? Well, It’s Complicated
Growing Data Privacy Concerns Highlight A Need For VPNs In 2019
Why AI Technology For YouTube Marketers Is Viewed As A Godsend

The right mortgage CRM software can be beneficial to your business in many ways. This includes using machine learning and AI tools to save time with customer communications and support, generate quality leads, and helping you build lasting relationships with existing customers.

But that’s only true if you choose a CRM system that meets all the needs of your particular business. Some CRM tools use more sophisticated big data tools than others. So how do you choose?

Well, we’re here to help.

Though the market is flooded with a ton of CRM solutions that use big data —all of which promise to deliver quintessential results, not all are can meet all your business needs. These tips will help you choose the right mortgage CRM software for your business.

1. Understand the Unique Problems that Face Your Business

The very first step in choosing the right mortgage CRM is to determine your business needs. Define those peculiar challenges that are preventing your business from scaling up. Then find a big data solution that addresses those issues.

Are you hoping for software that will help you generate leads? Or maybe interested in a CRM that offers real-time LOS integration? New advances in data technology have made all of these things possible. However, you need to outline your objectives before you can benefit from them.

Once you define your needs, it will be easy to narrow down your choices to only the software that offers those services. The truth is, different CRM solutions offer different functionalities that cater to different user needs.

2. Jot Down the Features you Need with Your Target CRM

Are there specific features you want in a CRM that you strongly believe will guarantee solutions to your problems? List them down. Doing so will help you narrow down your choices to only the CRM solutions that are ideal for your business needs. Handy features to consider include:

Lead Generation

Leads are the lifeblood of any mortgage business and big data has made it easier to earn them. As such, you’ll want to look for a CRM solution that facilitates lead generation and management.

Leading mortgage CRM software, such as Shape’s CRM come with advanced lead management features that allow you to score and assign quality leads to your team. The Shape CRM even allows leads to have multiple owners—a feature that ensures leads are not lost.

Marketing Tools

A good mortgage CRM should offer extensive marketing management tools to make marketing easier for loan officers. Look for a CRM solution that offers:

  •   A huge library of marketing campaign ideas
  •    Video mortgage marketing
  •    Effective tracking through analytics
  •     Automated customer follow-ups

Your mortgage CRM should not just help you launch marketing campaigns. It should also use big data to help you track progress and nurture leads until they become loyal customers.

Usability

The best mortgage CRM should be easy to use. Period!

There are CRM solutions out there that are extremely difficult to work with, especially if they use older big data platforms. Such CRMs will not only cost you money in training but also waste a lot of your precious time.  Look for something reliable and one that doesn’t have a steep learning curve. You want something that uses Hadoop technology for data mining.

3. Search For Affordable Software

Cost is an important factor to consider when buying CRM software. Once you have listed all the pertinent features, ensure what you’re settling for fits your budget.

If it doesn’t fit your budget, consider other options that offer near similar features at an affordable price. It’s okay to flex your budget a little but don’t overspend on CRM as this might negatively impact your bottom line.

4. Opt for a Mobile-Friendly CRM

More people now access the internet via mobile devices than desktop, according to a 2016 StatCounter study.

With that in mind, you should aim at getting a mobile-friendly CRM. Such a tool should help you respond to customer queries even when on the road. Moreover, a mobile-friendly CRM will let you access your tasks and customer data wherever you are, 24/7.

We hope these tips will help you make a more informed buying decision when shopping for a mortgage CRM. Feel free to comment and share.

Big Data Makes Mortgage CRM Technology More Reliable

Mortgage CRM tools are more effective than ever. This is largely due to major advances in big data.

TAGGED:big datacrmCRM softwaremortgage crmmortgage crm software
Share This Article
Facebook Pinterest LinkedIn
Share
BySean Mallon
Sean is a freelance writer and big data expert with a passion for exploring the depths of information that can be extracted from massive datasets. With years of experience in the field, he has developed a deep understanding of how data can be harnessed to drive insights and make informed decisions.

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

data recovery image
Cloud ComputingExclusiveITSoftware

The Cloud Doesn’t Eliminate The Need For Data Recovery Software

6 Min Read
big data joins fight against diseases
Big DataExclusive

Big Data Joins The Fight Against Traumatic Brain Injuries

5 Min Read
hadoop analytics
Analytics

Hadoop to Be Pervasive By 2015

3 Min Read

Is Big Data at Risk of Unleashing Big Brother?

7 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?