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Data Cleansing
Data Cleansing

 

SQL Power Data Cleansing

Provides expert data cleansing, de-duping and address correction to maximize the accuracy and integrity of your data

 

The main challenge in building decision support environments is to provide complete, accurate data and to create connections between the various disconnected data sources, thus providing a complete view of each Key Dimension.

Data Cleansing
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SQL Power Data Cleansing Services will scrub your data, validate and correct addresses, identify and remove duplicates, and build cross-references between source and target tables. This results in giving your end-users complete and accurate data, and a single 360-degree view of each customer, product, sales rep and business unit.

Duplicate data or disconnected views reduces the integrity and efficiency of your Business Intelligence environment. Your Data Warehouse may currently have multiple views of the same customer, which means you're not getting the complete picture. A clean, consolidated view of your Key Dimensions can give you the real story behind the data.

 

Top 10 Common Pitfalls of Data Quality Initiatives

  1. Leaving data quality to the IT group and not ensuring that it aligns to the business
  2. Reviewing data only for quality, and failing to look at how consumers and producers use the data
  3. Failing to define data quality thresholds, resulting in overspending on data quality
  4. Ensuring that data values are acceptable, but not confirming that the data accurately represents the entity it models
  5. Failing to accurately assess the true costs of data quality to the organization, and relying on 'gut feel' or anecdotal data
  6. Neglecting to train the organization in data quality, its impacts, and steps to correct
  7. Using Data Warehousing initiatives to correct data 'after the fact' rather than correcting quality issues at the source
  8. Undertaking a data quality initiative as a one-off effort, rather than the continuous corporate initiative that it should be
  9. Taking a myopic view of the data, rather than a full life-cycle, full enterprise view, resulting in 'correct for the moment' data
  10. Failing to implement a comprehensive and automated Data Cleansing processes that identify Data Quality issues on an ongoing basis

 

SQL Power Data Cleansing Services will guarantee the integrity of your decision support database, thus providing your users with a clean, reliable and accurate Business Intelligence environment.

 

Database queries don't have to be unpredictable.

SQL Power Data Cleansing services can be used for initial database cleanup efforts, or on an ongoing basis to ensure that future data loads and future interfaces do not compromise the integrity of your database.

 


 

WE NEVER FAIL & NEITHER WILL YOU.

You've suffered long enough with data integrity issues: it's time to elevate the quality of your data. Contact us today at info@sqlpower.ca or 1‑866‑SQL‑POWR.


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