Analytics & Machine Learning
Popular
AI Knowledge Assistant
An AI assistant that answers questions from your own documents, cites the source for every answer and says so when it does not know.
₹48,999
Analytics & Machine Learning
OB-DAT-105
Machine Learning Feasibility Study
Before you fund a build, we test whether your data can actually support the prediction model you have in mind and give you a measured answer.
- Timeline
- 10 working days
- Deliverables
- 7 listed
- Fixed price
- ₹20,999
What this service delivers
Many machine learning projects stall when someone finally checks whether the data can support the idea, so we do that check first. Starting from your proposed use case, we examine the data you really have and train a simple baseline model to measure how much useful signal exists. Sometimes the answer is a tuned model worth building. Sometimes a set of plain business rules achieves almost the same result at a fraction of the cost, and we will tell you so.
Deliverables 7 items
What you receive
- Review of data volume, quality, labels and class balance
- Baseline model trained and evaluated on your data
- Comparison against a simple rules-based alternative
- Analysis of which inputs carry the most predictive value
- Cost and effort ranges for building a production version
- Written recommendation, which may be to stop
- Reproducible notebook and code handed over to you
How the work runs, in 4 steps
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Step 1: Frame
We agree the decision the model should improve and how success is measured
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Step 2: Explore
The data is profiled and its gaps documented
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Step 3: Baseline
A simple model and a rules approach are built and compared
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Step 4: Recommend
Findings, costs and a go or no-go view are presented
Who it suits, and what we need from you
Ideal for
- Teams under pressure to use AI without a clear use case
- Organisations with a specific prediction problem and unproven data
- Boards wanting evidence before hiring a data scientist
What we need from you
- A data extract, with sensitive fields masked if necessary
- A clear statement of the decision the model should improve
- Time with someone who understands how the data is collected
You share these through the brief in your account after checkout.
What changes for your team
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01
A go or no-go decision based on measured results
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02
Data quality problems found before they derail a project
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03
Occasionally, a cheaper answer that avoids machine learning entirely
Questions about this service
That is a useful outcome. You avoid funding a build that would not work, and the report explains what data would change the answer.
No. A one-off extract is enough, and sensitive fields can be masked before you share it.
This is a remote technology service, so nothing is shipped physically. Work is delivered into systems you control. Read delivery and handover and refunds and cancellation for the full terms.