Skip to content
Intelligent Document Processing Readiness Survey
Your organization
1.
How would you best describe your organization? (choose one answer)
Enterprise shared services or GBS
Technology vendor
BPO
Consultant
Other (please specify)
2.
How has the pandemic highlighted pain points in your current automation initiatives? (choose one answer)
Insufficient end-to-end process integration
Lacking the technology to enable automated processing
Lacking data in the structured, digital format required to drive automated processing
Lacking robust machine learning and AI to drive more expansive automated processing
Other (please specify)
3.
What is limiting your capacity to manage high volumes of document processing? (choose top 3 answer choices?)
Cost of human resources required
Limited working hours (not 24x7)
No access to machine learning models
Low levels of accuracy in human-based manual extraction
Low levels of accuracy in existing OCR solution
Low confidence in automated results requires more human review
Large variety of document types
Other (please specify)
4.
How much of your enterprise data do you estimate is currently unstructured? (choose one answer)
<25%
26-50%
51-75%
>75%
5.
Do you believe the problem of “unstructured data” is impacting your operational productivity / business effectiveness?
Yes
No
6.
Do you have a strategy in place to address this data problem (i.e., unstructured)?
Yes
No
If yes, do you have a solution in mind? Please list it
7.
Where in your operation is the lack of digitized data most costly? (please describe)
8.
What rates of straight through processing are you currently achieving for each of the processes listed below? Please mark as relevant
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Order-to-Cash
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Record-to-Report
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Procure-to-Pay
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Hire-to-Retire
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Claims Processing
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Financial Spreading
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
Fraud Detection
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
[Other/list below]
<10%
11-30%
31-60%
61-90%
>90%
I don't know/does not apply
For 'other' above, please list the process
9.
If you currently use an OCR solution, how accurate is it?
0%
100%
Clear
10.
How well are you currently managing data labeling for the purpose of supporting machine learning?
Very well
Quite well
Satisfactory
Struggling somewhat
Very badly
We are not using machine learning
N/A
11.
Are your data labeling efforts hampered because you don't have access to skilled resources (e.g., data scientists)?
Yes
No
N/A
Please feel free to comment:
12.
How many document samples do you require to train a production-ready solution?
<100
<1,000
<10,000
<100,000
>100,000
I don't know / N/A
13.
Please rank your current solution effectiveness in terms of:
Highly effective
Relatively effective
Acceptable
Not very effective
Very ineffective
Non-existant
Intelligent document processing
Highly effective
Relatively effective
Acceptable
Not very effective
Very ineffective
Non-existant
Intelligent image processing
Highly effective
Relatively effective
Acceptable
Not very effective
Very ineffective
Non-existant
Predictive analytics
Highly effective
Relatively effective
Acceptable
Not very effective
Very ineffective
Non-existant
14.
Is your organization using Deep Learning and GPU computing power in its current automation initiatives?
Yes
No
I don't know
15.
Have you implemented 'fuzzy search' capabilities in your enterprise content-based search engines?
Yes
No
I don't know
I am not familiar with fuzzy search
16.
To what extent are you currently using mobile apps to scan and mine data?
Extensively
Moderately
In a few instances only
Not at all
In which areas do you use mobile scanning?
17.
If you are an enterprise GBS/SSO and work with an outsource provider (BPO), how well are they supporting your digital transformation objectives?
Very well
Moderately well
Satisfactory
Not very well
They are doing nothing to support this
We do not outsource
We are not an enterprise GBS/SSO
18.
If you are an enterprise GBS/SSO working with a BPO, and IF you are ramping up your in-house automation capability, are you considering bringing some of the work back in-house?
Yes
No
We do not outsource
We do not have a robust in-house automation capability
We are not an enterprise GBS/SSO
Current Progress,
0 of 27 answered
