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Datais the new oil.
Data informs everything from how much funding schools get to selecting the right lifesaving treatment for a critical patient.
Youve likely heard the phrase, garbage in, garbage out.
If your inputs are flawed, your outputs will be flawed.
SVP Product Management for Secure Unified Endpoint Management at Ivanti.
But what if you dont know your inputs are flawed?
Data bias is an epidemic.
As much as were increasingly entering anAI-driven world, humans are still the nuclei of source material.
Spoiler alert: humans are flawed.
Therefore, data is flawed and biased.
Data models are flawed and biased.
Outputs are flawed and biased.
Depending on the context, the implications can be catastrophic.
In some cases, those implications are quite literally life or death.
Anyone whos seen The Last of Us can support this narrative with a visualization of nefarious, out-of-control growth.
(Sorry for that.
But at least I got your attention!).
Long story short: Data accuracy is everything.
Heres a primer for you:
Are your insights actually insightful?
Data reconciliation is at the heart of effective asset management and service delivery.
It involves comparing and aligning data from multiple sources to identify discrepancies and ensure consistency.
Eliminating blind spots and data silos
Lack of visibility is bad datas best friend.
Bad data will happily sneak through any blind spot available.
The opposite is also true.
To leverage AI and advancedanalyticseffectively, enterprises must first eliminate blind spots and break down data silos.
Blind spots, or gaps in data visibility, can lead to significant overspending and inefficiencies.
Improving asset visibility and monitoring pays off in big ways, highlighting hidden costs and proactively reducing expenses.
Similarly, consolidating data silos disparate repositories of information facilitates a holistic view of enterprise assets and operations.
Establishing data governance and privacy frameworks
So far, weve covered data reconciliation and eliminating blind spots.
But thats only half the battle.
Robust data governance is critical to ensuring data integrity and so is establishing privacy.
Of course, that comes with a caveat: remember garbage in, garbage out?
If you made it this far, congrats: you get the summary of takeaways.
If you remember nothing else, remember this:
Data is only going to become more important.
That means data accuracy is only going to become more important.
We’ve featured the best data recovery software.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc.
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