Perform the
Data Science Scan!

The Data Science Scan allows you to quickly assess your company’s data science needs. Answer a number of relevant questions and find out how you score in the six scan components. You will also receive useful tips and suggestions for actions you can take and resources you can turn to for expert advice on optimising your organisation’s data science capabilities.

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Leadership

We realise the potential of data to improve our effectiveness and efficiency

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Leadership

We have included data science and artificial intelligence roadmap in our business strategy

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Leadership

Our data science and artificial intelligence initiatives are properly funded

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Leadership

We have clearly scoped our data science and artificial intelligence initiatives for the next 12 months

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Data

We have a good understanding of where our data is stored

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Data

We have a clear understanding of the status of our data quality

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Data

The data of our key operational systems is easily accessible

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Data

We always work in accordance with GDPR

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Data

We have adequate data security measures in place

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Data

We have a clear set of rules on data governance

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Business Analytics

We use a data warehouse for all our management information needs

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Business Analytics

Our functional leaders have access to all their required KPIs to manage their business

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Business Analytics

At least 80% of our business intelligence is automated in our company

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Business Analytics

We use business intelligence to understand what happened

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Business Analytics

We use business intelligence to understand why it happened

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Data Science

We have a team of data engineers to complete the work

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Data Science

We have a team of data scientists to complete the work

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Data Science

We have a team of data visualisation and business intelligence professionals

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Data Science

We apply artificial intelligence to predict what might happen (predictive analytics)

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Data Science

We apply artificial intelligence to get insight/advise with what actions we could proceed (prescriptive analytics)

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Tooling & Infra

We have the optimal infrastructure to run our data science initiatives

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Tooling & Infra

We have the right data science tools to run data and AI-driven initiatives

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Tooling & Infra

Most of our data science workload is processed in a public cloud environment

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Team

We have the right capacity of data science resources

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Team

We have the right level of skills to develop ML Ops models

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Team

We are self-sufficient with regard to business intelligence (self-service)

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Team

Our IT team is capable to support our data science initiatives

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