3FORCES.AI

MONETIZE YOUR DATA

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ACQUIRE DATA

Data in a small and medium business is scattered, hidden and unorganized. We help you collate all your data. 

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ANALYZE DATA

Data is dirty, fractured and not optimally stored or used. We help you organize and clean it to ensure it's worthy of use. We analyse it to create insightful reports and dashboards. 

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ACT  on DATA

We help you become and "data driven" organization.  We can help act upon insights and improve products, sales and bottom line.

Acquire Data

Data gathering is critical exercise. 

1

Data is dispersed

In a small or medium size business, valuable data is dispersed. In multiple locations, in several databases, different servers. We will help located and identify these gems. To use machine learning effectively, you must have the right data for the problem you’re trying to solve

2

Data is different shapes

Data is in heterogenous form, different formats. We help converge all your valuable data into homogenous form. 

3

Data is hidden

Business data might be hidden in vendor applications, in excel sheets and even in email attachments. We will help unearth and collate them. 

Analyze Data

Our data scientists will help you with all these steps. 

1

Data Preparation

Data is always dirty. We will clean and prep your data so it's  suitable to be analyzed. 

2

Data Enrichment

Data is incomplete. We can enrich the data from key external sources before it's analyzed. 

3

Data Analysis

This is the final step. The result of which could be a report or a live dashboard. We can then apply machine learning processes to come up with a model. 

Act on Data

Use Analytics or Machine Learning to optimize your top line or bottom line. 

Descriptive Analytics

Tell me what  happened and why
Tell me what's happening right now and why. 

Predictive Analytics

Tell me what's like to happen and why

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Discovery Analytics

Tell me something important that I don't know and without my asking specific questions. 

Prescriptive Analytics

Tell me what are my options
Tell me what I should do 

Machine Learning

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Hypothesis & Modelling

To utilize the prepped dasta to create and train an effective Machine Learning model. 

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Model Evaluation

Model will be tested with evaluation data and back data to verify the accuracy of the model. 

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Model Optimization

Once we have a working model, we embark on a journey of continous optimization