Data Services In St. Louis MO At NW Database Services
Data Cleaning, Data Cleansing, Data Scrubbing, Deduplication, Data Transformation, NCOA, Mail PreSorts, Email Verification, Email Append, & Phone Append Services in St. Louis Missouri
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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 St. Louis MO and surrounding communities.
What We Do
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.
We provide data transformation services for Extract, Transform and Load (ETL) operations typically used in data migration or restoration projects.
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.
We Are Here To Help!
Woodland, WA 98674
To use email, remove the brackets
Information About Data Cleaning And Data Services
Accuracy can simply be described as the accuracy of your data. This could include anything, from your birth date to your bank balance, eye color or geographic location. Because data accuracy is critical, it can impact the results of any analysis and subsequent business decisions. It’s difficult to determine accuracy because it can’t be measured against existing datasets that are ‘gold standards’.
Data completeness refers to how extensive a dataset is. Do you have the right information to complete your task? It’s not always easy to identify an incomplete data set. Let’s suppose you have a customer database but only half of the surnames are included. The dataset would not be complete if you wanted to list customers alphabetically. Surnames would not matter if you were only trying to find geographical locators by analysing customer dialing codes. Incomplete data is difficult to correct, just like data accuracy. Because it is not always possible to infer missing information based on the data you have,
Data consistency is the ability to match data from different sources. This is what determines the reliability of your data. If you work in a doctor’s office, you might find patients with two different phone numbers or postal addresses. These data are inconsistent. Smart thinking is required to determine data consistency. It is not always possible to go back to the source. It is possible to determine which data are correct by looking at most recent entries or by using another method of determining reliability.
Data uniformity is a measurement of units, metrics, etc. Imagine that you combine two datasets about people’s weight. The metric system is used in one dataset, while the imperial system is used in the other. All measurements must be consistent in order for the data to be useful during analysis. All measurements must be in kilograms or pounds. It is possible to convert it all into one unit. This aspect of data quality is much easier to manage. This doesn’t necessarily mean filling in the gaps or determining accuracy… phew!
Relevance of Data
Data relevance is a subjective indicator of data quality. It measures whether the data is complete, consistent, and uniform to meet its task. Timing is another aspect of data relevance. Is the data readily available when you require it? Are all people able to access it? If you report to the Board quarterly profits or losses, then you will need the most current information. You can only provide lower-quality insights if you have only the last quarter’s data.
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 St. Louis MO Information
The second-largest US city is St. Louis. It is located near the confluence between the Missouri and Mississippi Rivers. The city itself had a population in 2020 of 301,578, and the bi-state metropolitan region, which extends into Illinois had an estimated population in 2020 of over 2.8million. This makes it the largest metro area in Missouri, and second in Illinois.
The area was an important center for Native American Mississippian culture before European settlement. St. Louis was established by French fur traders Gilbert Antoine de St. Maxent Pierre Laclede, Auguste Chouteau and Pierre Laclede on February 14, 1764. It was named for Louis IX of France. The area was given to Spain in 1764 after France lost the Seven Years’ war. It was resold to France in 1800. Three years later, the United States purchased it as part of the Louisiana Purchase. The city was the point of embarkation on the Corps of Discovery Expedition.
St. Louis’ urban area has a humid subtropical climate. However, the metropolitan region to the south may have a hot-summer humid continental environment, which is indicative of the effects of the urban heat islands in the city. It experiences both hot and humid summers as well as cold to mild winters. The city is exposed to cold Arctic air as well as hot, humid tropical breezes from the Gulf of Mexico.
According to the 2010 United States Census, St. Louis was home to 319,294 people in 142,057 homes, of which 67.488 were families. The population density was 5,158.2 per square mile (1.990.6/km2). The population density was 5,158.2 people per square mile (1,990.6/km2). The median age was 34 years.
The city is connected by road, rail, ship and air transport modes to the surrounding areas in Greater St. Louis, national networks and international destinations. St. Louis has a network of public transportation that includes light and bus service.
In 2016, the St. Louis metropolitan area’s gross domestic product was $160 billion, an increase of $155 billion from the previous year. Greater St. Louis’ gross metropolitan product was $146 billion in 2014. This is 21st highest in the country. It was $144 billion in 2013, $138.4 million in 2012 and $133.1 trillion in 2011. In 2014, the St. Louis metropolitan region had a per capita GDP of $48,738. This was 1.6% more than in 2012. The city’s manufacturing sector generated nearly $11 billion in 2007; followed by the health and social service industries with $3.5 billion, professional or technical services with $3.1 million, and retail trade with $2.5 Billion. With 34,000 employees, the health care sector was the largest employer in the region. Next came 24,000 administrative and support jobs; 21,000 manufacturing jobs and 20,000 food service jobs.