This article is the second of a three-part series, the focus on enabling a data-driven culture and the factors and techniques which can be implemented. Contact Adrian McGarva at adrianmcgarva@pfsconsulting.com.au or Lynton Norris at lyntonnorris@pfsconsulting.com.au to find out more.
Why enable a data-driven culture?
Over the last decade we have seen organisations collecting increasing amounts of data without unlocking the enormous value contained in that data. That value can include:
- better understanding of the drivers of key outcomes within the organisation
- improved marketing or more focused funding discussions
- much stronger evidence-based business planning and advocacy
- Improved business performance over the long run
Many of the above are particularly valuable in organisations where there are funding cross-subsidies, typically subject to government funding agreements.
Intelligent analysis often supports existing practical intuition but quantifies and evidences it in a way that allows Organisations to better understand the real value of the data they collect and use that data to improve business performance.
Increasingly, new insights are being found and ways to extract value from data with insights able to be delivered with more certainty as more data is collected. Even using the same data, new processing power or new ways to construct analytics can enable organisations gain new and increased value from their existing data sets and data holdings.
What is a data-driven organisation?
Put simply, being data-driven means driving informed decisions based on real-world, accurate data as opposed to relying on intuition, ideology or over-reliance on recent history. Often data analysis will provide evidence that backs existing intuition or ideology and can put recent history in context. This itself has value, making it possible to support intuition with objective facts and to gain support.
There are four key hallmarks for data-driven organisations:
- Creating a culture and structure that uses data and analytics to drive change and make better decisions
- Moving beyond descriptive and diagnostic analysis to become predictive and prescriptive
- Using subject matter experts, particularly in the finance, data analytics or actuarial fields
- Relying on fewer metrics and more effective prioritisation based on business needs
Why should organisations become data-driven?
The benefits of being data-driven include:
- smarter, faster and clearer decision-making with a basis for any decision reduced costs over the medium to long term
- improved productivity
- increased competitiveness
How can we become data-driven?
Understanding the value of data is the first step towards becoming a data-driven organisation. Putting data at the centre of the organisation requires a strong top-down leadership approach. It can sometimes be important to get quick wins on the board that can be easily attributed to the use of data which can demonstrate that a data-driven approach works. There can be value in putting the right tools at the fingertips of decision-makers so that they can act on the insights that data analytics delivers. This includes frontline staff who deal with customers and partners, as well as back-office staff in finance and operations.
While there is no question that many organisations have already found value in their data, some others benefit from an independent review or expert advice. PFS Consulting count among our core strengths: data analytics, and actuarial predictive modelling. We combine this technical expertise with industry leaders in the fields of healthcare, finance and insurance, and not-for profit organisations and build deep relationships with our key clients.