How I helped leaders decide fast
I worked between data science, IT, partners and senior leaders. A big part of my job was turning data into a clear choice they could approve quickly.
The problem
In Indonesian telecom, when a competitor changes a price, you need to answer within days.
Before approving, leaders wanted to know revenue, subsidy, margin and payback. The data sat in the billing platform, SQL tables, Power BI and research reports.
A competitor repriced a popular data package.
Match · Beat with a bundle · Hold and target at-risk users
Revenue · subsidy · margin · payback, with the key assumption in plain sight
The option that clears payback, and why
Approve today
What I did
- 01
One daily dashboard
I built daily Power BI reporting with SQL, so leaders saw big changes quickly instead of at the end of the month.
- 02
Find the cause
When numbers dropped, I found where customers dropped off, so the problem came with a reason.
- 03
Show the assumptions
Every business case showed revenue, subsidy, margin and payback, with the key assumption written clearly.
- 04
Add the customer's voice
I used Nielsen research, customer service and call surveys, field surveys, focus groups and Google Play reviews.
- 05
End with a clear ask
Every plan ended with a simple decision to approve. Counter-offers went out within a day, including SVP and CMO approval.
- 06
Work both sides
I could debug partner APIs in Postman and write PRDs, and also present to the C-suite. I learned the presenting part at PwC.
What happened
Counter-offers to competitor moves launched within one day, with approvals done.
I was promoted twice in three years and rated 5 out of 5 in 2023, given to one person per division.
- Leaders care most about the assumption they're betting on.
- Finish every analysis with a clear ask.
- Showing the trade-offs builds trust.