Data Services In Atlanta GA At NW Database Services

Data Cleaning, Data Cleansing, Data Scrubbing, Deduplication, Data Transformation, NCOA, Mail PreSorts, Email Verification, Email Append, & Phone Append Services in Atlanta Georgia

Get The Best Database Services In Atlanta Georgia

We provide data services to businesses and organizations in Atlanta GA and all Georgia cities. With over 3 decades of experience in the database business, you won’t find a company that can solve your specific database needs with higher quality service or better prices than Northwest Database Services. No matter what your specific need is, our team will find a data service solution to suit your situation.


More Cities and States Where We Offer Data Cleaning Services

We Are A Full Service Data Services That Can Help You Run Your Business

Northwest Database Services is a full-spectrum data service that has been performing data migration, data scrubbing, data cleaning, and de-duping data services for databases and mailing lists, for over 34 years. NW Database Services provides data services to all businesses, organizations, and agencies in Atlanta GA and surrounding communities.

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What We Do

Database Services

When you need your data to speak to you regarding your business’s trends, buying patterns or just whether or not your customers are still living.

Data Transformation

We provide data transformation services for Extract, Transform and Load (ETL) operations typically used in data migration or restoration projects.

De-duplication Service

Duplication of data plagues every database and mailing list. Duplication is inevitable, constantly keeps growing and erodes the quality of your data.

Direct Mail - Presorts

It’s true the United States Postal Service throws away approximately thirty five percent of all bulk mail every year! Why so much? Think: “Mailing list cleanup.

Email-Phone Append

With access to more than 500 million email addresses, Northwest Database Services uses one of the most comprehensive and unique data sets in the industry.


Over 40 million Americans change their address annually, which makes us do the work to maintain a high-quality mailing list while you focus on your business.

We Are Here To Help!

12 + 12 =


Woodland, WA 98674


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To use email, remove the brackets


Call Us

(360) 841-8168

Information About Data Cleaning And Data Services

What Is Dirty Data?

Dirty data refers to any data that must be altered or modified before it can be analysed. There are several types of dirty data:
Incomplete data: For example, a spreadsheet that contains missing values. This could be a problem for your analysis. Data for both customer age and monthly purchases is required if you want to analyze the relationship between these variables. You’re dealing incomplete data if you don’t have the customer ages.
Duplicate data is records that appear in the same dataset twice or more than once. If you combine data from different sources or databases, this can happen.
Inconsistent and inaccurate data – Data that is out of date or has structural errors like typos, inconsistent capitalization or irregular naming conventions. Let’s say you have a data set that contains student test scores. Some are categorized as Pass or Fail, while others are categorized as P or F. The labels are the same, but the naming convention makes it difficult to distinguish between them.
There is much to do before you can begin the analysis phase of data analytics. The data analytics process can take up to two-thirds of its time to clean “dirty” data. This is data that must be edited, worked upon, or modified in any other way before it can be used for analysis.
Data analysts may discover outliers in “dirty” data during the cleaning phase. This leads to either removing them completely or using another method. So, the question is: What is an outlier?

What Is an Outlier?

  • Outliers in data analytics are values that differ significantly from other datasets. They can be either much larger or smaller. Outliers can indicate variabilities in measurements, experimental errors or a novelty. A real-world example shows that giraffes average about 16 feet in height. Recent discoveries have revealed that two giraffes are 9 and 8.5 feet tall. These two giraffes are considered to be outliers compared to the rest of the giraffe population.
  • Outliers can lead to anomalies in data analysis results. These outliers can cause problems in data analysis and may need to be addressed.
    Two main reasons outliers should be given special attention in data analytics are:
    Analyses may be affected by outliers
    An analyst may need to know about outliers or their behavior in order to complete an analysis.

Northwest Database Services has 34+ years experience with all types of data services, including mail presorts, NCOA, and data deduplication. If your database systems are not returning poor data, it is definitely time for you to consult with a data services specialist. We have experience with large and small data sets. Often, data requires extensive manipulation to remove corrupt data and restore the database to proper functionality. Call us at (360)841-8168 for a consultation and get the process of data cleaning started as soon as possible.

NW Database Services
404 Insel Rd
Woodland WA 98674

City of Atlanta GA Information

Atlanta GA

Atlanta is the capital of Georgia and the most populous U.S. state. It is also the seat of Fulton County which is the most populous Georgia county. However, a small portion of the city extends into DeKalb County.


Atlanta experienced unprecedented growth in the early decades of the 20th Century. Atlanta saw its population double in three decades as the city expanded to include nearby streetcar suburbs. With the addition of the Equitable Flatiron, Empire and Candler buildings, the city’s skyline grew higher.


Atlanta is a humid subtropical climate that experiences four seasons and abundant precipitation all year. This is typical of the Upland South. The city is located in USDA Plant Hardiness Zone 8a. Midtown and the western suburbs are also transitioning to 7b.


According to the 2020 United States Census, Atlanta had a population 498 715. The population density was 3,685.45 people per square mile (1.422.95/km2). Atlanta’s racial makeup was 51.0% Black, African American, 40.9% white, 4.2% Asian, 0.3% Native American and 1.0% from all other races. 2.4% of the population identified two or more races. 6.0% of the population was Hispanics. The city’s median household income was $66,657. The city’s per capita income was $54,414. 20.2% of the population lived below the poverty line.


Atlanta’s transportation infrastructure includes a heavy rail rapid transit, light rail streetcar loop, Amtrak service via Crescent, multiple freight trains lines, an Interstate Highway System and several airports. There are also over 45 miles (72km) of bike trails.

Top Businesses

Atlanta’s GDP is $385 billion. It ranks 11th in the United States and 22nd in the world. Atlanta has the third-largest concentration (tied for third) of Fortune 500 companies in the country. Corporate operations are a key part of Atlanta’s economy.


Atlanta GA Map