Row 62197

Row ID: 62197 | Dataset Entry | Axioma AXP Content Repository

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This page contains data entry 62197 from the Axioma AXP content repository. The structured data below represents the complete record for this entry.

I've worked with a few companies over the years with wildly varying levels of data maturity and data trust. In my current organization, we'd like to think we're data driven, and we have solid reporting and good models deployed... but our IT teams don't take data quality seriously, so we're frequently troubleshooting inaccuracies, delays and other problems.

Even though our reporting is accurate, we still have challenges with leaders who just don't trust the data or math, and push back with "we need more analysis" or "could I see another cut" before they'll take any action based on our recommendations.

Part of me thinks the push back is just human - people don't want to take action, so they delay by asking someone else to do it first, but I don't think this is an unusual experience. Whats your experience with your organization?

FieldValue
text I've worked with a few companies over the years with wildly varying levels of data maturity and data trust. In my current organization, we'd like to think we're data driven, and we have solid reporting and good models deployed... but our IT teams don't take data quality seriously, so we're frequently troubleshooting inaccuracies, delays and other problems. Even though our reporting is accurate, we still have challenges with leaders who just don't trust the data or math, and push back with "we …
label r/datascience
dataType post
communityName r/datascience
datetime 2024-05-23
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url_encoded Z0FBQUFBQm5Lak9xWElDaWxrZ3k2LW8yV2lJRmZiMzllczdtSnJhbWxBb1RFbFhpNTR2NnFkbXFyMWJIVzVzMTVZZjNibU9jVnU1X0N6QmNGd1R6Q1hfNHhKVTlUNVcwdjBaaEE3ZUlCQ0U1a3VpWXE0M2hFRXNnMlZCeGZzc3VteGRqTmM5TFdqejJ4NGcxOTFpVzJ1ZEpBQkZLVWVmTWpLQ0VTV08zUjRmd2pKb09WRGFtRjVCOGVZUkMxb1dadC1qWnZndnhNWXJ1VG5QWndXaTRSN0I3dzRCSjYwOWQ2Zz09

Raw Record

{
  "text": "I've worked with a few companies over the years with wildly varying levels of data maturity and data trust. In my current organization, we'd like to think we're data driven, and we have solid reporting and good models deployed... but our IT teams don't take data quality seriously, so we're frequently troubleshooting inaccuracies, delays and other problems. \n\nEven though our reporting is accurate, we still have challenges with leaders who just don't trust the data or math, and push back with \"we need more analysis\" or \"could I see another cut\" before they'll take any action based on our recommendations. \n\nPart of me thinks the push back is just human - people don't want to take action, so they delay by asking someone else to do it first, but I don't think this is an unusual experience. Whats your experience with your organization? ",
  "label": "r/datascience",
  "dataType": "post",
  "communityName": "r/datascience",
  "datetime": "2024-05-23",
  "username_encoded": "Z0FBQUFBQm5Lak1hZ3lUakp0ZU4zMlZlREJRT0h1LVI4S2ppU3VCUVV1VFRPNklQaVlSS2lzTTZvT29HZEQxaW4xcmdNWUZwa0VYLVQ3S0NjRG5sRXoza05BdjFVRmtCaTM0SUUyVXE2eDlyLS1fTnBJcGpWelk9",
  "url_encoded": "Z0FBQUFBQm5Lak9xWElDaWxrZ3k2LW8yV2lJRmZiMzllczdtSnJhbWxBb1RFbFhpNTR2NnFkbXFyMWJIVzVzMTVZZjNibU9jVnU1X0N6QmNGd1R6Q1hfNHhKVTlUNVcwdjBaaEE3ZUlCQ0U1a3VpWXE0M2hFRXNnMlZCeGZzc3VteGRqTmM5TFdqejJ4NGcxOTFpVzJ1ZEpBQkZLVWVmTWpLQ0VTV08zUjRmd2pKb09WRGFtRjVCOGVZUkMxb1dadC1qWnZndnhNWXJ1VG5QWndXaTRSN0I3dzRCSjYwOWQ2Zz09"
}
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