What is your tolerance for bad data in storage? What degree of neatness or organization do you aim for?

1.3k views2 Comments
Sort By:
Oldest
IT Administrator / Creative Director in Healthcare and Biotecha year ago
As the Salesforce Admin of our company, Zero tolerance for bad data is the aim; perfectly organized (and accurate) data is the aim. The reality is dependent on others who may not share the same ideal. Some individuals take extreme ownership of their world of influence, and are sticklers for accuracy. Others can be careless about data that isn't important to them at a specific time. Personality of the assigned owner of data sets plays a huge part in whether that data is verified, corrected, or even entered accurately to begin with. Having a little OCD is a great thing if you are given ownership of certain data silos. Not only is your CRM only as good as the data it contains, it is also only as good as the people employed to manage their area of influence.
lock icon

Please join or sign in to view more content.

By joining the Peer Community, you'll get:

  • Peer Discussions and Polls
  • One-Minute Insights
  • Connect with like-minded individuals
Executive Vice President, Chief Digital Officer & Head of Cybersecurity in IT Servicesa year ago
In today's world, there is almost '0' tolerance for bad data in storage. Every enterprise is now aiming to create a good data governance model (with almost 100% accuracy) which gives them value drives business outcomes,
1

Content you might like

VP of IT in Retail3 days ago
If you have a full Gartner license, they have a benchmarking tool that maps out to your industry.  It was useful for my needs.
701 views1 Comment

TCO19%

Pricing26%

Integrations21%

Alignment with Cloud Provider7%

Security10%

Alignment with Existing IT Skills4%

Product / Feature Set7%

Vendor Relationship / Reputation

Other (comment)

View Results
5.7k views3 Upvotes1 Comment
Director of Data4 days ago
In our implementation of Master Data Management (MDM), we primarily adopted a centralized approach using Microsoft Dataverse. This was key to resolving data quality and consistency issues in our Power Platform solutions, ...read more
1
61 views1 Upvote1 Comment
Director of Data4 days ago
In my opinion, Advancements in AI and related data field have significantly enhanced our Master Data Management (MDM) strategy by automating data quality, integration, and governance processes. AI algorithms help identify ...read more
1
32 views1 Comment

Acquiring new clients and projects20%

Keeping up with evolving technologies and testing methodologies52%

Building a strong reputation and establishing credibility in the industry53%

Adapting to changing client demands and expectations40%

Ensuring effective communication and collaboration with clients and development teams21%

Developing effective pricing strategies and staying profitable14%

Other (please specify)

View Results
1.5k views