by Administrator | Sep 17, 2020 | Best Practice, DataTrim Data Laundry
Your data is your most valuable asset! Do you have AWESOME DATA ? AWESOME solutions are not working without the underlying data being reliable, trustworthy, complete and consistent. -And data is rarely is all this…. data is often TERRIBLY AWESOME Quick facts: 88% of...
by Administrator | Sep 1, 2020 | Best Practice, DataTrim Data Laundry, How To
Do you Trust your Data? Question 1: Would you buy a 100.000$ car, if you can’t trust the quality of the petrol you fill it up with? Question 2: Would you implement a high-end marketing automation tool if you can’t trust the data you put into it? While you have no...
by PeterAdmin | Aug 26, 2020 | Best Practice, DataTrim Data Laundry
In an ideal world your should have Reliable data. Complete and Consistent. But reality often shows that it is not. Reliability – or your ability to base your business decision on your data Every day we make decision based on the information our solutions hold about...
by Administrator | Aug 24, 2020 | Best Practice, Case Story, DataTrim Data Laundry
From down right dirty to sparkling clean in one easy cycle In this Data Quality Case Story article we share some of the thoughts and quotes from an Australian client. A Salesforce client, who no longer trusted their data. Watch the video on youtube to see how we...
by Administrator | Jul 16, 2020 | Best Practice, DataTrim Data Laundry
Customize the Job Title mapping in the Data Laundry In the article: Convert Global Job Titles to Segment-able Job Role and Job Function picklist values we demonstrated the value of being able to actively utilize the job titles in your customer database as a criterion...
by Administrator | Jul 16, 2020 | Best Practice, DataTrim Data Laundry
Convert Global Job Titles to Segment-able Job Role and Job Function picklist values Did your Marketing Manager ever asked you: How many CEO’s do we have in our prospect list? -and did you realize that when you created your report and defined the filter for the...
