Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Simple Tidbits to Include in Your Data Error Report
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > 5 Simple Tidbits to Include in Your Data Error Report
Data Warehousing

5 Simple Tidbits to Include in Your Data Error Report

DataQualityEdge
DataQualityEdge
5 Min Read
SHARE

ETL code and processes are key in the operations of updating and maintaining a data warehouse. A good operational set-up will have data error reports available for the data quality analyst to verify and action.

Traditionally an error report will tell you the data is wrong, provide an error code which relates to a very lame description of the error. In many cases it was written by a business analyst who has worked a long-time on the project and just wants to wrap up the work and move on to the next project. Therefore, in those cases the support analyst or data analyst will be left holding the bag, or scratching their head when they do get a data error. Don’t let it get to that, push back and ask for more.

These are a few items to include in the error reports to make life easier for the support team, other than an error code.

Include:

More Read

When Performance Metrics Attack: Complete, Agile BI Requires Going Beyond Just the Numbers
Teradata 3rd Party Influencers and TDWI Takeaways
A New Kind Of Data Warehousing Will Emerge in 2011 According To Gartner
Business Objects Auditing in XIR3
The Fellowship of #FollowFriday

1. Job number/name: this is an easy find to report on, this is the job that was handling the data when the error occurred.

2. Impacted Table: not everyone will know what job impacts what table, so include it, this will provide immediate recognition of the type of data your dealing with.

3. Primary Index: having the primary index will allow you to search f…

ETL code and processes are key in the operations of updating and maintaining a data warehouse. A good operational set-up will have data error reports available for the data quality analyst to verify and action.

Traditionally an error report will tell you the data is wrong, provide an error code which relates to a very lame description of the error. In many cases it was written by a business analyst who has worked a long-time on the project and just wants to wrap up the work and move on to the next project. Therefore, in those cases the support analyst or data analyst will be left holding the bag, or scratching their head when they do get a data error. Don’t let it get to that, push back and ask for more.

These are a few items to include in the error reports to make life easier for the support team, other than an error code.

Include:

1. Job number/name: this is an easy find to report on, this is the job that was handling the data when the error occurred.

2. Impacted Table: not everyone will know what job impacts what table, so include it, this will provide immediate recognition of the type of data your dealing with.

3. Primary Index: having the primary index will allow you to search for the record that is at fault either in the temporary table, or in a temporary holding file.

4. A brief meaningful description of the error, a two-word error message just does not cut it in many situations.

5. The most important piece of information to include in an error report would be to identify the action required to fix it. This is often excluded by many business analysts as they gather requirements. Data quality is often omitted from requirements and the business does not know the data the way they should (but are getting better), and have no idea how to correct it. It is a significant piece of information that will save significant amounts of time on the part of your support team. In the event you are not able to put the action required in an error report (due to possible text length or most often funding), reference the error back to the appropriate document that contains the actions required.

Just remember no one likes to get an error report, alert or notification identifying what has broken next. So make it easier for all those support analysts out there, give them what they need.

 
TAGGED:data qualityetl
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

AI role in medical industry
The Role Of AI In Transforming Medical Manufacturing
Artificial Intelligence Exclusive
b2b sales
Unseen Barriers: Identifying Bottlenecks In B2B Sales
Business Rules Exclusive Infographic
data intelligence in healthcare
How Data Is Powering Real-Time Intelligence in Health Systems
Big Data Exclusive
intersection of data
The Intersection of Data and Empathy in Modern Support Careers
Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

BI Reports, Data Quality, and the Dreaded Design Review

4 Min Read

Microwavable Data Quality

4 Min Read

Sign this contract here: its all free…Or is it?

5 Min Read

Stuck in First Gear

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?