Why choose this programme?

Data is big business. And it’s only getting bigger. Working with, and harnessing, this data will be a key capability for any leaders wishing to grow their organisations.

The Professional Diploma in Data Business is designed to create and support data-savvy managers.

This programme is for you if…

You want to unlock the value of data
to connect better with your customers and grow market share

In Brief

Next start date - Dublin: Next start date - Dublin:
13 May 2020
Location – Dublin: Location – Dublin:
IMI Campus
Duration: Duration:
6 months
On-site: On-site:
18 days
Modules: Modules:
6
Seniority: Seniority:
Early to Mid Career
Non-member fee: Non-member fee:
€9,990
Member fee: Member fee:
€8,390
SME fee: SME fee:
€9,190
Facilitated Workshops | On-site - Dublin

Facilitated Workshop 1: 13, 14, 15 May 2020

Facilitated Workshop 2: 10, 11, 12 Jun 2020

Facilitated Workshop 3: 26, 27, 28 Aug 2020

Facilitated Workshop 4: 23, 24, 25 Sep 2020

Facilitated Workshop 5: 28, 29, 30 Oct 2020

Facilitated Workshop 6: 25, 26, 27 Nov 2020

Key takeaways

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Create and Innovate

Data driven innovation. Create a more innovative organisation by identifying how to leverage business data.

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Decision Making

Inform and perform. Develop a data driven mindset and culture to solving business problems.

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New lens

Get the full picture. You will develop a Data Business Blueprint for a business opportunity or transformation project that will be of real benefit for your organisation.

Programmes themes

Enterprise data management
  • Apply frameworks to analyse an organisation’s supply chain.
  • Appreciate the practicalities of data / information management from an agile perspective.
  • Evaluate data/information relating to enterprise-wide integration, combining structured and unstructured data.
  • Design an appropriate data governance programme with a focus on data quality.
  • Enhance personal and organisational data capabilities.
Data business analysis
  • Learn about the role of data-based decisions in reducing risk.
  • Enhance your awareness of the meaning and bias users can bring to data interpretation.
  • Develop best practice techniques in exploratory data analysis and making predictions.
  • Explore existing datasets using foundational analysis techniques.
Innovation management
  • Apply design thinking in order to innovate and use design tools for process improvement and new product development.
  • Evaluate the impact of data on the business model and how data can contribute to innovation.
  • Identify ways to use business data to make an organisation more reliable and/or innovative.
  • Apply innovation frameworks to leverage business data in different organisational contexts.
Data Business Blueprint

Through a process of practical application and reflection, you will develop a Data Business Blueprint for a business opportunity or transformation project that will be of real benefit to your organisation.