Getting to the Core With Data Analytics

No matter the industry, it’s always better to address the root cause of a problem than put a Band-Aid on the symptom.

We find data analytics — which includes data mining, risk assessments, and predictive analytics — lets us find the most effective ways to detect fraud, waste, and mismanagement at the U.S. Postal Service. Data analytics allows us to synthesize data in ways that get to the very core of a problem or inefficiency, so we can then identify possible solutions.

 

Calling for Help

From the consumer’s perspective, the best possible result of calling customer service is a short conversation that resolves the issue. From a business’s standpoint, preventing that call in the first place is the ultimate goal.

Of course, no product or service is perfect, so customer service will always be a part of a business model. Improving that experience is key to satisfying and retaining customers. The goal, it seems, would be to make customer service efficient and responsive.

 

FSS Comes up Short

Nearly a decade since its rollout, the Flats Sequencing System (FSS) — the football-field sized sorting machines for flats mail — is still falling short of expectations. At its inception, stakeholders were optimistic FSS would improve productivity and reduce the U.S. Postal Service’s costs for handling flats mail.

 

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Recent Poll

Do you think USPS should invest in Treasury Inflation-Protected Securities?

Yes
54% (54 votes)
No
46% (46 votes)
Total votes: 100

Recent Comments

  • 3 days 9 hours ago
    Thank you for your comment. If your concern has not yet been addressed by the USPS Office of Consumer Affairs or the local postmaster, please file a complaint with our Hotline. You can access the...
  • 3 days 9 hours ago
    Local USPS Office is not being maintained, exterior is an eyesore, exposed wires on light poles. Local Post Master has not been helpful. How can this be addressed and changed?

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