By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    football analytics
    The Role of Data Analytics in Football Performance
    9 Min Read
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: Data-as-a-Service: Real-Life Examples of Companies Who Are Using DaaS to Boost Revenue
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data-as-a-Service: Real-Life Examples of Companies Who Are Using DaaS to Boost Revenue
Big Data

Data-as-a-Service: Real-Life Examples of Companies Who Are Using DaaS to Boost Revenue

Lbedgood
Last updated: 2015/03/14 at 7:29 PM
Lbedgood
6 Min Read
SHARE

big data, data-as-a-service, daas

We’ve talked at length recently about the benefits of using Data-as-a-Service (DaaS) to target in-market consumers. DaaS is a process that leverages the modern data ecosystem and real-time data analytics to create a customized “always on” dataset.

Contents
Example One – Financial ServicesExample Two – Automotive IndustryExample Three – Furniture Retail

big data, data-as-a-service, daas

We’ve talked at length recently about the benefits of using Data-as-a-Service (DaaS) to target in-market consumers. DaaS is a process that leverages the modern data ecosystem and real-time data analytics to create a customized “always on” dataset. It is completely changing the game for today’s marketers, fueling customer acquisition and retention strategies for marketers across all industries.

DaaS combines a company’s first-party CRM (customer relationship management) data with real-time triggers and Hard-to-Find-Data (HTFD) sources to deliver better targeting and a stream of in-market consumers.

DaaS has the potential to really bring new competencies and competitive advantage to marketers in new and exciting ways. But don’t take our word for it – check out these real-life examples of how companies are using DaaS to boost revenue and ROI:

More Read

How Data-as-a-Service (DaaS) Is Revolutionizing Marketing

Example One – Financial Services

A national banking client was seeking ways to boost customer acquisition. They used the following data sets to identify in-market targets:

1. Mortgages: First Time Home Buyers:

  • Identified a list of the bank’s customers and targeted prospects.
  • Suppressed those that are current homeowners, leaving non-homeowners with specific traits (age, head of household, HHI, etc.).
  • Monitored the resulting file for mortgage activity with a specific FICO level indicator – e.g. 680.  When a “hit” is identified, bank was notified and a fair offer of credit can be made to the potential homeowner.

first time home buyers, daas, data, big data
 

2. Mortgages: Refinance Variation:

  • Secured a list of property building permits on specific bank customers and high end prospect records. When a substantial amount of work is being done at a property, this could designate the opportunity for a refinance.
     

3. Investments: 

  • Scraped public record data in bank’s footprint to ID consumers and businesses that have experienced a significant liquidity event.
  • ID people looking to sell a high end auto.
  • ID pre-movers.
  • Monitor life triggers, such as marriages, divorces, and new births.

4. Businesses:

  • Monitor email server activity.
  • Scraped public record data in bank’s operating footprint to ID businesses that are moving, have moved, or have received certain levels and kinds of funding.
  • Review of other financial activity that may be leading indicators of growth or decline.

Example Two – Automotive Industry

The following data sets are being used by several well-known names in the automotive industry:

daas, automotive daas example, data-as-a-service, big data

Example Three – Furniture Retail

FurnitureROITM is a furniture retail data product used by a large, multi-regional furniture retailer located in the Northeast.

furniture, furniture daas example, daas, data-as-a-service, big data

  1. DataMentors’ Consumer Database: Identify New Prospects
    • 250MM US Consumers
    • NCOA Scrubbed
    • 300 Data Elements (Age, Income, Home Ownership, Home Improvement and Decorating Interests, Expectant Parent, Recent Divorce, Recent Home Buyer, Home Square Footage, and more).
       
  2. Millennial Data: Target Millennial Consumers with Multi-Channel Messaging
    • Data on 42MM millennials
    • Segment millennial consumers by proximity to your store location, income, home-owner or renter
    • Lifestyle interests, including technology, home improvement and decorating interests
    • Rich contact data including email address and mobile number
       
  3. Pre-Mover and New-Mover Data: Send Offers to Consumers Who May Soon be In Market

Innovative web mining technology identifies pre-movers and new movers who may soon be in-market for furniture. This real-time data is gathered across a comprehensive network of websites and includes information such as new rentals, houses sold, geography, income level and more.

movers, furniture, daas, big data

  1. Social Signaling Data: Boost Customer Acquisition Through Social Prospecting

    FurnitureROITM monitors social media for furniture purchase signaling, such as “excited about the move”, or “looking for a leather couch”.
     

  2. Onboarded Data: Digitally Addressable Dataset for Real-Time Messaging

These unique data sets are integrated and structured to form an “always-on” stream of prospects. Data is onboarded to link offline data to online IDs for customized ad delivery through your channel systems.

The datasets sourced through DaaS are uniquely customized to each company. While we have shared just a few examples of how DaaS can be used across industries, the possibilities are truly endless.

For years, organizations have been reliant on their internal data or data enhancements from list brokers. This is stagnant data compiled from third parties. DaaS on the other hand is transformational in nature – a revolutionary way of mining today’s massive data sets to find qualified prospects in the market now for what a company is selling.  DaaS is the next leap forward in the modern data ecosystem, fueling competitive marketing advantage in new and exciting ways.

Be sure to download our white paper for a more in-depth overview of DaaS.

DaaS, Data-as-a-Service, White Paper

 

TAGGED: DaaS
Lbedgood March 14, 2015
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com
QR Codes Leverage the Benefits of Big Data in Education
Big Data
football analytics
The Role of Data Analytics in Football Performance
Analytics Big Data Exclusive
smart home data
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Big Data
ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

How Data-as-a-Service (DaaS) Is Revolutionizing Marketing

9 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 is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?