When your executives ask for a report or a specific number, what typically happens? *

It arrives on time and everyone trusts the data

It usually arrives on time but we occasionally get questions about accuracy

There are frequent delays and leadership sometimes questions whether the numbers are right

Reporting is a known problem, and leadership has lost confidence in the data

How has your cloud data platform spend changed in the last 12 months? *

It's grown but in line with business growth and we understand why

It's grown more than expected and we're not entirely sure why

It's significantly higher than projected and we haven't been able to get a clear explanation

We know we're overpaying but haven't had time or resources to remediate

Do your teams rely on manual processes or spreadsheets to fill gaps that your data platform should be handling? *

Rarely or never

Occasionally for edge cases

Yes, regularly and it has become part of the normal workflow

Yes, and we have actually hired people specifically to manage these workarounds

If two different departments pulled the same report independently, would they get the same number? *

Yes, always we have a single source of truth

Mostly, but there are occasional discrepancies we can usually explain

Sometimes but different teams have different versions and we are not always sure which is correct

This is an active problem and we regularly have debates about whose numbers are right

When you assess the ROI of your cloud/data platform investment, how would you describe leadership's current view of it? *

Strong - the investment has clearly paid off and leadership agrees

Neutral - it is working but the expected gains have not fully materialized

Under scrutiny - there are internal questions about whether we got what we paid for

It is a sore subject - the investment has been questioned at the executive or board level

How well documented and understood is your current data architecture across your team? *

Fully documented - any senior engineer could walk in and understand the full system

Partially documented - key people know how it works but documentation has gaps

Poorly documented - there are systems and decisions only one or two people fully understand

We inherited this architecture or grew into it organically and there is no real documentation

Is your current data infrastructure ready to support your next major initiative: AI, real-time analytics, regulatory compliance, or operational scaling? *

Yes - we have assessed this and the foundation is solid

Probably - but we would need to make some upgrades first

Unlikely - the current architecture would need significant work before we could build on it

No - and this is actively blocking initiatives we need to move forward

In the last 18 months, has your team grown specifically to handle data or reporting requests that your platform was supposed to handle automatically? *

No - the platform handles what it was bought to handle

We have added one or two people but it was planned growth

Yes - we have added headcount partly because the platform is not delivering what we expected

Yes and it is ongoing - the platform is not keeping up and we keep adding people to compensate

When your team evaluates or implements new technology, what best describes how success is typically defined? *

We define success by business outcomes

We mostly focus on business outcomes but the team gets excited by the technology itself

Success is often defined by technical milestones rather than business outcomes

We can name the tools we have deployed but we struggle to name the problems we have solved

If you confirmed today that your architecture is the root cause of your cost and reporting problems, what would your organization's ability to act on it look like? *

We have budget allocated and the authority to move within the next 30 days

Budget conversations are already happening and we could move within a quarter

Budget would need to be secured but there is genuine appetite to fix this

No budget conversation has started yet - we are in early exploration

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