Your service history is a goldmine.
You're treating it like trash.
Every failed repair teaches you something. Which parts actually fix the problem. Which diagnostics waste time. Which error codes lie.
But it's all buried in work orders nobody reads.
I watched a tech spend 45 minutes on a Samsung ice maker issue last week. Third callback. Same problem the company fixed 200 times before.
The solution was in their own service records. Tech #47 figured it out 8 months ago. Documented it perfectly. Nobody knew.
Meanwhile:
Your techs repeat the same mistakes.
Order the wrong parts.
Try fixes that never work.
Generate callbacks on "repaired" units.
The data exists. You've been collecting it for years.
Every work order.
Every tech note.
Every failed attempt.
Every successful fix.
Sitting in your system. Doing nothing.
One service company discovered they had 5 years of repair data. Over 40,000 work orders. Zero insights extracted.
They were literally sitting on the answers to 90% of their problems.
We fed it all into AI.
Now when a tech faces that Samsung ice maker:
"Based on 200 similar repairs: Skip the thermistor test. Check the fill tube heater first. 87% success rate. Average time: 12 minutes."
Not generic manufacturer instructions.
Your actual repair history. Your proven fixes. Your techs' discoveries.
The same company saw callbacks drop 40% in 60 days. Just from surfacing what they already knew but couldn't access.
Your senior techs have solved these problems before. Junior techs are solving them again. And again. And again.
Every callback is a lesson you refuse to learn.
Stop treating service history like compliance paperwork.
Start treating it like competitive advantage.
Your next first-time fix is hiding in last year's work orders.
How many times will you solve the same problem before you remember the solution?
#fieldservice#aiventic#servicedata
#FINANCE The research team at @ESET , a leading proactive threat detection company, discovered a campaign targeting customers of different banks whose main objective was to facilitate unauthorized ATM withdrawals from victims’ accounts. The malware used, which ESET named NGate, has the unique ability to transmit payment card data via a malicious application installed on the victim’s Android device to the attacker’s rooted Android phone. 💵🪙💲⚡💰
Read here: lc.cx/eFk7bv#ATMtransactions#banks#customers#ESET#Intelligence#Servicedata
Want to secure budget for your #ServiceTransformation? Mark Wilding of @ServiceMax makes the case for understanding how #ServiceData can impact an entire organization - and explains why it is the key to building a business case to secure your budget: bit.ly/4bTpCHn
When all your data is housed in different ledgers, you get locked into processes that require consolidating and reconciling all this information. But there’s a way out.
Find out how SAP S/4HANA® Cloud makes it possible
#S4HANA#cloud#Dataanalytical#Management#servicedata
Learn how to build a service data strategy with a company-wide impact. Sign up for our webinar with Werfen’s Worldwide Service Director and get an inside look at his team’s non-traditional approach. hubs.la/Q0166Bhf0#servicedata#serviceinsights#fieldservice#aquant
Next week: @WerfenNA’s Worldwide Service Director shares how his approach to service data has a company-wide impact, from customer adoption to product roadmaps. Haven’t signed up yet? Learn more & register here: hubs.la/Q0166Bhf0#servicedata#serviceinsights#fieldservice
Jeg har solgt en bil til en forhandler i dag. Slutseddel er skrevet efter to korte snakke. Salgschefen har servicedata osv på bilen. Enten har jeg et utroligt troværdigt fjæs, ellers også er prisen alt for lav.
Han har ikke været ude at se bilen....
I have a bluetooth device and am trying to list its services:
bluetoothctl's "info" can list service UUIDs but not associated SPP ports
dbus method "org.bluez.Device1.ServiceData" does a 404
the python binding's "bluetooth.find_service()" finds nothing