Enabling Critical Decision-Making with Valuable Data Insights

Problem

Are you always looking for quality data to serve as the basis for your decision making? Do you struggle to find consistent, up-to-date, and validated real-life data to plug into your business application or process? You are not alone. At any given moment, thousands of business owners and employees stare at an incomplete picture drawn with a lack of data or low-quality data.

Solution

The data quality and validation specialists at Melissa have recently introduced the Melissa Marketplace—a rich data catalog comprised of exceptionally accurate data products for your industry and business needs. It’s as easy as:

  1. Researching/locating the relevant data
  2. Requesting the required data product
  3. Consulting an overview page that describes how to access and use the data

Melissa also offers several accessibility options:

  • Via an API
  • A one-time file
  • A subscription agreement
  • An integrated service application

Let us examine several scenarios where the Melissa Marketplace truly shines. After reviewing these scenarios, more ways can be imagined leveraging this extensive data catalog and harvest the many opportunities it offers for data quality and validation services.

Melissa Marketplace overview

Key Takeaways

  • Many businesses struggle with data quality and validation. Thus, Melissa Marketplace offers a solution.
  • Melissa Marketplace features precise data products tailored for different industries, including real estate and healthcare.
  • Users can access data through various methods: API, one-time files, subscriptions, or integrated services.
  • Real estate insights include topics like property equity, new homeowners, and construction growth.
  • The marketplace provides a rich catalog, enhancing decision-making and supporting business applications.

Industry-based Use Cases

Real Estate

Melissa fully encompasses the real estate domain with highly curated proprietary datasets. One or a combination of these datasets can be leveraged to gain deep insights along several vectors of interest. For example, the home equity distribution and change over time, real estate home ownership evolution, and the profile of the typical homeowner for a given area can be explored. Additionally, the appearance of new construction or foreclosure dynamics can also be tracked. Below is a non-comprehensive list of real estate scenarios:

TopicReportMelissa Marketplace Data Product
Estimated EquityMap of property equity by state/county Property Owner Mailing Lists & Sales Leads
Property Owners’ ProfilesProfile of property owners by age/location, etc. Change in homeownership YOY. Property Owner Mailing Lists & Sales Leads
New HomeownersNew homeowner numbers by state/county; growth of homeowners YOY. Display the percentage of new homeowners in each geo area New Homeowners Mailing Lists
New ConstructionNew vs. old buildings per state/county. Growth of new construction YOY. New Construction
Home Value and Household IncomeMap of estimated household income – country-wide/ state/county. Property Owner Mailing Lists & Sales Leads
New Movers’ OverviewList of people who have recently moved. Move out/move in data for a state/county based on movers’ data. New Movers Mailing Lists
Homeownership OverviewLength of homeownership per state/county, real estate value distributions. Property Owner Mailing Lists & Sales Leads

Healthcare and Medical

Healthcare and medical domains are also areas where high-quality data is of the utmost importance. Here, Melissa provides another set of helpful and always available quality datasets. For example, we can get a map of the different healthcare professionals for a given area. For the more marketing-driven professionals, we can also propose plotting the business profile of businesses concentrated in the healthcare and medical fields in a local area. Below is a quick list, along with links, to the data products:

TopicReportMelissa Marketplace Data Product
Mailing List Per Health Professional AreaDistribution of different health professionals across the nation. Highlights under-served areas. Medical Professionals Mailing Lists
Business Mailing ListTypes of business per state/county and business profiles. Business Mailing Lists & Sales Leads

ERP and CRM and Line of Business Applications

Regarding client and vendor data, you want to ensure that entities are correctly represented in the business applications. ERP, CRM, and other line-of-business applications that manage client or vendor data are suitable programs to leverage the Melissa Marketplace. Under any circumstance, operating with high-quality, verified data is a stepping stone for a successful business relationship. The rich API integration options the Melissa Marketplace offers add a great deal of trust to the business relationship. Here are a few pointers in that area:

TopicSolutionMelissa Marketplace Data Product
ERPDelivery address validation Email validation ZIP code validation Cleansing, standardizing, and enriching customer data Consumer Demographic Data
CRMClient or vendor address validation Fraud detection and prevention Consumer Demographic Data

Government

Finally, the Melissa Marketplace provides options to leverage data insights for a more detailed picture using government-curated data. An example of this would be plotting the profile of registered voters in a given area. Melissa can facilitate reaching out or getting a list of users who regularly donate to cultural, environmental, or political causes. Comprehensive data profiles are available to be explored via an integration service or visualized with a BI tool. Furthermore, Melissa has an accurate and comprehensive list of the NAICS/SIC code nomenclature exposed as a service. With Melissa’s dedicated service, companies can be accurately classified across 20 sectors, 99 subsectors, and 312 industry groups. Here is a list of related data products:

TopicReportMelissa Marketplace Data Product
Global Address DatabaseComprehensive List of Every Address, including non-post office addresses in the US and globally Global Address Database (GAD)
Carrier Route BoundariesThe boundaries of a group of addresses a postal carrier would deliver to. Carrier Routes by ZIP
Business OverviewSIC/NAICS codes per state Business Mailing Lists & Sales Leads

Demo Reports

To highlight the power of some of the datasets available on Melissa Marketplace, several example reports have been built to visualize important aspects of the real estate market and trends in Orange County (OC), California.

New Construction Units

Using the new construction dataset from Melissa Marketplace, we can see an overview of how new construction evolves in Orange County, California, using the image below. In Section 1, we were able to plot a map displaying the number of newly constructed units by city, along with an indicator classifying the unit (residential or other). Section 2 provides a breakdown of the non-residential versus residential number of newly constructed units by the biggest cities in OC as a percentage. Here, we see Newport Beach leads in non-residential, newly constructed units. Finally, Section 3 highlights the price evolution per property type depending on the year it was built. It is interesting to see the significant dips in total sales for the years 2008 and 2020 corresponding to major market events.

new construction report

New Homeowners

In addition to the new construction analysis, we can also take a detailed look at the new homeowner dynamics in OC, as seen in the image below. Melissa defines a new homeowner as someone who recently acquired and moved to a property. Section 1 displays a map of new homeowners by city. The bar chart provided in Section 2 displays their numbers. The dataset contains a field for the sell date, where a slicer is provided in Section 3 and can be used to filter to a specific period. Finally, Section 4 illustrates an area chart of the new homeowners by year.

new homeowners

Property Price Analysis

The picture would not be complete without a closer look at the price aspects of properties in OC. Section 1 in the image below shows bubbles on the map indicating the average sales price per city. (Note: The major cities have been prefiltered to make the plot more focused.) On the right, Section 2 provides a column chart comparing the average number of baths and bedrooms per city while plotting the average sales price on the secondary y-axis. As a result, we can see how the areas chosen (Fullerton, Irvine, Aliso Viejo, and Santa Ana) compare. For example, a buyer will get more bedrooms in Fullerton at lower sales prices than those in Irvine.

sales price analysis

Business Overview

How about the types of businesses in Orange County? There is a dedicated dataset for that topic in the Melissa Marketplace, as well. For example, we can examine the business type distribution by SIC code by city in Section 1 of the image below. Additionally, the tree map plot in Section 2 provides a more detailed overview of the five pre-selected business types: Physicians, Attorneys, Real estate, Accountants, and Restaurants. Section 3 allows for slicing and filtering by city.

business overview by SIC code

Inquire about how to access and use the datasets behind these plots by contacting Melissa.

Summary

Someone once said, “Data is the new gold.” Would you be willing to dig for gold on your own? Probably not. But from a verified vendor? Absolutely!

Melissa aims to fulfill the “gold-standard” data promise. Check out the verified, accurate, and curated data available at Melissa Marketplace via the various endpoints and service applications to enhance your business app, process, or decision-making.

Next Steps

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