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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 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

How To Develop A Top-Notch Data Warehousing System
Customer Data Integration (CDI) – for a Single View of Your Customer
WOW! Big Data at Google
What do you get when you combine the power of SAP and Teradata?
Who owns Master Data in your company?

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

microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive
street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Fantasy League Data Quality

15 Min Read

Leadership Lessons in Data Quality – Part 1

9 Min Read

Perfect Data and Other Data Quality Myths

5 Min Read

Enhancing IT Support to the Counter Terror Effort: Design Criteria

10 Min Read

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

ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

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?