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Unlocking your Creative Potential

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Unlocking your Creative Potential

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Outcome (O)

The data scientist wants to know how the data and/or insights will be used. How will it be integrated into the organisation? Who will use the data, and why?

An example of outcome: The marketing team needs to be trained in using the model (or software) to guide their decisions, and the success of the model needs to be gauged in its effect on the sales..

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MORE IDEAS ON THIS

Vision (V)

Vision is when we take a glimpse of what it will look like to meet the need with data. The vision consist of the following:

  • A mockup explaining the intended results: It could take the form of reporting the outcome of the analysis in a few sentences, a ...

671

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Needs (N)

What needs could be fixed by intelligently using data? When we clearly explain a need, we are showing what could be improved by better knowledge.

An example of needs:  We want to place our ads in a smart way. What should we be optimising?

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First why, then how

First why, then how

Most people approach data the wrong way: They start with a data set, then use their favourite tools and techniques on it. This produces a narrow set of unsurprising results.

When we want to gain knowledge from the data, we should first do some thinking.

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Creating a scope for a data problem

We can find structure when we create the scope for a data problem. A scope is the outline of a story of why we are focusing on this problem.

The scope of a project consists of four parts, which is expressed as the mnemonic CoNVO.

  • Context
  • ...

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Context (Co)

We find context when we know who we are working with and why they're doing what they are doing. We learn the context when we talk to them about their long-term goals. The context provides a project with larger goals and helps to keep us on track.

An example of c...

673

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CURATED FROM

CURATED BY

anty

I’ve got 99 problems and I’m not dealing with any of them.

Thinking With Data is not about how to do data analysis but about first working out what the problem is that you're trying to solve.

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1. Actively vet your leads

Marketing needs to be laser-focused on generating leads that fit your ideal customer profile in order to reduce churn. We do this because it is inevitable that some poor-fit leads will still be generate and passed on to the sales division. 

Questions to guide with vetting:

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Identifying and collecting data

Ask questions, such as.

  • What data is needed to solve the business problem?
  • What quantity of data is required?
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Operational excellence

Companies that successfully execute win-win spin-offs will optimise the operating model for both companies. 

For example, companies use the opportunity to increase their marketing expenditures or digitising the sales process. Others would attempt to improve, centralise, or ...

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