Data Services In Bellevue NE At NW Database Services

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

Get The Best Database Services In Bellevue Nebraska

We provide data services to businesses and organizations in Bellevue NE and all Nebraska 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 Bellevue NE and surrounding communities.

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SERVICES

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.

NCOA

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!

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Office

Woodland, WA 98674

Email

gch [@] nwdatabase.com
To use email, remove the brackets

 

Call Us

(360) 841-8168

Information About Data Cleaning And Data Services

Information About Data Cleaning

Data Cleaning Tools

We’ve now covered the steps involved in data cleaning. It’s obvious that this is not an easy task. What tools are available to help you? It depends on the data and systems you are using. Here are some tools that you can use to start to understand the basics.

Microsoft Excel

Since its inception in 1985, MS Excel has been a standard part of computing. It is still a very popular data-cleansing tool, regardless of how you feel about it. Excel has many functions that automate data cleaning, including replacing numbers and text with deduping, shaping columns and rows, and combining data from multiple cells. Excel is also easy to use, making it the first choice for data analysts new to the field.

Other Data Cleaning Tools

OpenRefine: It is a well-known open-source data tool that is free to use and customize.

Trifacta Wrangler: It is an interactive and user-friendly data cleaning tool that can be used by both technical and non-technical users.

WinPure Clean & Match: It works to clean massive data sets by correcting, standardizing, and removing duplicates.

The pros of using data cleaning tools include faster decision-making, more efficient business practices, boosting the integrity, relevance, and value of your data, and creating better experiences for customers. The cons of using data cleaning tools include dirty data which can have costly consequences such as lost revenue, take time to correct, and damage your brand.

Programming Languages

Data cleaning can often be automated using scripts. Excel has pre-existing functions that can accomplish this. To run specific batch processing tasks (tasks that are performed without the need for user interaction) on large and complex data sets, you will often have to write your own scripts. This can be done using programming languages such as Python, Ruby, SQL or–if your coding skills are really sharp–R. R is more complicated but also more flexible. These scripts can be written by data analysts who are more skilled, but there are many libraries that already exist. Python has many data cleaning libraries, including Pandas and NumPy, that can speed up this process.

Visualizations

Data visualizations are a great way to spot errors in your data. A bar plot, for example, is a great way to visualize unique values. It might also help you spot a category that was labeled in different ways (like the earlier example of Iron’ or Fe). Scatter graphs are also useful in identifying outliers, so you can examine them further and remove them if necessary.

Last Thoughts

  • Data cleaning is the most critical part of data analytics. Data hygiene doesn’t only pertain to data analytics. It’s also a good idea to regularly update and maintain your data. Clean data is an essential tenet in data analytics, and data science as a whole.
    This post reveals that:
  • Data analytics is a hugely important process that requires clean data. Using poor data will result in flawed insights. It is said that garbage in, garbage out.
  • Data cleaning can be time-consuming. This is why it is worth the time. Data analysts can spend 60 to 80% of their time cleaning up data.
  • Data cleaning can be a complicated process. It involves removing outliers, correcting structural errors, standardizing and validating your results. This is not an easy or quick task.

There are many tools available to assist you. You can also find many proprietary software tools.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
(360)841-8168

City of Bellevue NE Information

Bellevue NE

Bellevue, a suburb of Omaha, Nebraska, United States. It is located in the Omaha-Council Bluffs metro area. As of the 2020 Census it had 64,176 people. This makes it the third-largest Nebraska city, after Omaha and Lincoln.

History

Bellevue was initially established by Joshua Pilcher as a trading post of the Missouri Fur Company. However, financial difficulties led to Lucien Fontanelle becoming the owner of the post and the first permanent resident in Bellevue. Bellevue was home to the first Christian mission established in Nebraska by Moses Merrill. It was the oldest city of the Nebraska Territory. Residents were hopeful that Bellevue would be the capital. Francis Burt, the new territorial governor, had moved there shortly before he died. Omaha was chosen as the next governor. The Offutt Air Force Base was constructed south of Bellevue in 1921. It houses the United States Strategic Command. There were also built the planes that dropped the Hiroshima atomic bombs and Nagasaki atomic ones.

Demographics

The 2010 census showed that there were 50,137 residents, 19,142 households and 13,371 families in the city. 3,163.2 people per square mile (1.221.3/km2) was the population density. The average density of housing units was 1,299.1 per square meter (501.6/km2). There were 20,591 dwelling units. The city’s racial makeup was 81.5% White with 6.0% African American, 0.7% Native American and 0.2% Pacific Islander. There were also 5.4% of other races and 3.9% from more than one race. 11.9% of the population were Hispanics or Latinos of any race.

 

Bellevue NE Map