Data Services In Santa Fe NM At NW Database Services
Data Cleaning, Data Cleansing, Data Scrubbing, Deduplication, Data Transformation, NCOA, Mail PreSorts, Email Verification, Email Append, & Phone Append Services in Santa Fe New Mexico
Get The Best Database Services In Santa Fe New Mexico
We provide data services to businesses and organizations in Santa Fe NM and all New Mexico 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 New Mexico Locations 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 Santa Fe NM 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 Santa Fe NM Information
Santa Fe is the capital city of the U.S. state of New Mexico. Santa Fe is a Spanish word that means “Holy Faith” in Spanish. The original name of the city was La Villa Real de la Santa Fe de San Francisco de Asis, which is ‘The Royal Town of the Holy Faith of Saint Francis of Assisii”.
In the area of Santa Fe, native Tanoan peoples occupied the land. They lived in many Pueblo villages on both sides of Rio Grande. After 900 AD, Santa Fe’s first settlement was established. An indigenous Tewa group built a cluster home that was centered around today’s Plaza. It extended for half a mile further south and south. The village was known as Ogha P’o’oge (in Tewa). For its water and transport, the Santa Fe River was home to the Tanoans and other Pueblo Peoples.
Santa Fe’s climate features cool, dry winters and hot summers with relatively low precipitation. The climate classification of Santa Fe uses the Koppen system to determine whether the city is a subtropical highland or warm-summer humid continental climate. This is unusual at 35degN. The city’s average 24-hour temperature ranges between 30.3 degrees F (-0.9 degree Celsius) in December and 70.1 degrees F (21.2 degC), July. Because of the city’s relative aridity, the average daily temperature variation is greater than 25 degrees (14 degrees C) in each month and 30 degrees (17 degC), for most of the year. Between November and April, the city receives six to eight inches of snow per year. With the arrival of the North American Monsoon, July and August are the best months for heavy rainfall.
The 2020 census showed that 87,505 people lived in the city. This is an increase of 67,947 residents in 2010. It also means that the city has experienced an average growth rate of close to 3 percent. According to the 2010 census, the racial composition of the city’s residents was 78.9% white, 2.1% Native American, 1.4% Black; 1.4% Asian; 3.7% from two or more race. 48.7% of the total population was Hispanic/Latino of any race. Non-Hispanic whites accounted for 39.5%.
Santa Fe Trails is a city-run organization that operates bus routes within the city and connects to regional transit.