Data Services In Pittsburgh PA At NW Database Services
Data Cleaning, Data Cleansing, Data Scrubbing, Deduplication, Data Transformation, NCOA, Mail PreSorts, Email Verification, Email Append, & Phone Append Services in Pittsburgh Pennsylvania
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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 Pittsburgh PA 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
Five Data Quality Best Practices
As we’ve already mentioned, there are many methods to assess data quality. All of us can agree that data that is high quality is suitable for the intended purpose in operations and decision-making, as well as future business planning.
Good Data Governance
Data quality can be ensured by a solid framework for data governance. A solid data governance framework should include well-written data policies and standards, which have been created with input from senior management and other stakeholders. A data governance group should monitor this. Data management will feel more in control if there is a solid governance structure. Data quality is a process and not a job. This allows you to easily identify data quality issues.
Regular Data Cleaning
Without data cleaning, data analytics is incomplete. Data cleaning is not necessary before you start an analysis. Data cleaning should be part of your business’ ‘housekeeping. This includes correcting structural errors and outliers, as well as addressing missing data. This allows you to spot potential problems before they become major. This allows you to identify potential problems before they become serious.
Data profiling is an integral part of every quality management data analyst’s job. Data profiling refers to the analysis of data sources to find statistics and insights. It sounds like data analysis but it is different. Data profiling on the other hand looks at data at a deeper level and isolates its intended uses. Data profiling can be used to improve data quality in many ways. This can help you determine if your data quality is adequate for a task or detect poor capture techniques before you import it into an database.
Cross-Departmental Collaboration Support
Structure and processes are the only way to produce high-quality data. Many people overlook the importance of input from all levels within the company. Many view data analysts as “gatekeepers” of data. While this may be true in certain cases, data quality can be so subjective it requires some support from data-driven people. Key performance indicators (KPIs) that are applicable to everyone will benefit from the input of managers. Multiple data sources are used by many businesses.
Data Quality Reporting
It is important to keep track of all activities and report on them regularly. This will allow you to monitor your data quality KPIs and will also help you create your data quality issue log. This is crucial for documenting and hopefully! This is crucial for documenting and hopefully! This is essential for documenting and (hopefully!) solving problems. Data quality reporting can help you identify common themes in the way your data is stored, processed, and collected. Reports also provide transparency about data quality governance. This helps build trust between team members. These reports can be made interactive by creating visualizations or dashboards.
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 Pittsburgh PA Information
Pittsburgh is a municipality in Pennsylvania. It is also the county seat of Allegheny County. It is home to the largest population in Allegheny County as well as Western Pennsylvania. The city is second in Pennsylvania behind Philadelphia and the 68th biggest in the United States with a population totaling 302,971.
The federal government recognizes Pittsburgh to be the point of departure for the Lewis and Clark Expedition. In 1803, Meriwether Lewis bought a keelboat in Pittsburgh. This boat would be used later to climb the Missouri River.
The average annual precipitation is 39.61 in (1,006mm). Precipitation is highest in May and lowest in October. Annual precipitation ranged historically from 22.65 inches (575mm) in 1930, to 57.83in (1,469mm) in 2018. The most precipitation days are in December and January on average. Average snowfall is 44.1 inches (112cm) per season. However, historical data shows that it has varied from 8.8in (22cm) in 1918-19 to 80in (200cm) in 1950-51. On average, there are 59 clear days and 353 partly cloudy days each year. There are 203 days that are cloudy. Pittsburgh (45%), is comparable to Seattle (49%).
The 2010 census showed that Pittsburgh had 305,704 residents. This is a decrease by 8.6% from 2000. 66.0% were White, 25.8% Black, Alaska Native, 0.2% Asian, 0.3% Other and 2.3% mixed. In 2020, 2.3% Pittsburgh’s population was Hispanic or Latino American. Non-Hispanic whites accounted for 64.8% of the 2010 population, compared with 78.7% in 1970.
Pittsburgh Regional Transit is the 26th largest transportation agency in the United States prior to the pandemic. On a weekday, the average commute time for people using public transit to get from Pittsburgh to work is 73 minutes. 23% of transit riders travel for longer than 2 hours each day. Public transit riders spend an average of 17 minutes waiting at stations or stops. 33% wait more than 20 minutes every day. A trip on public transit takes people a distance of 3.9 miles (6.3 km), and 11% go more than 7.5 miles (12 km) one way.
With 48,000 employees, the University of Pittsburgh Medical Center is the largest employer in the area. The region’s 116,000 jobs are made up of outpatient clinics and doctors’ office positions. This is approximately 10%. A recent analysis of the city’s medical industry revealed that it has more jobs than the steel industry in 1970s.