In Depth

Analysis Overview

Based on your respondents' answers for analysis your organisation is currently Learning
For analysis you and your colleagues scored your organisation 3 out of 5
The average score for analysis in the benchmark group is 3 out of 5

Analysis across the sector

Your Current Stage

Learning

  • Whole-organisation analyses are beginning to be performed on an ad-hoc basis.
  • Beginning to focus on what analysis is meaningful and useful.
  • Starting to identify what data should be routinely analysed and potentially automated.
  • Analysis is mostly descriptive about what happened in the past e.g. summarising the overview, averages, variation, range.
  • Comparative trend analysis is starting to be conducted over time (perhaps on an annual basis).
  • Exploration and use of filters and cross tabs are being used to delve further into data.
  • Data is manually collated in reports using data from different sources.
  • Data is manually reworked for presentation in written reports for different internal/external audiences.
  • Learning how to create more sophisticated graphs and presentations of the data (though audiences may find them difficult to interpret and understand).

The next stage up for your organisation is

Developing

  • Embedding systems for analysing meaningful and useful data.
  • More consistent and regular approach to data reporting and trends analysis on users/needs, activity, outcomes and impact.
  • Monitors what’s happening in present as well as what’s happened in the past.
  • Some forward looking analysis/forecasts may challenge views of future performance.
  • Analysis is more diagnostic about where/why things happened e.g. exploring root causes, clustering, patterns, anomalies, discovering differences and trends. Some attempts at A/B testing. Occasional use of predictive analytics in some areas e.g. timeseries/forecasting.
  • Aware of difference between correlation and causality.
  • Routine data analysis is partially automated and partially manually collated from different sources.
  • Presentation and communication of data is honed to ensure its meaning is understood.
  • Some use of dashboards and/or businesses intelligence systems.
  • Beginning to explore interactive data visualisation.
  • Both static and real-time dynamic reporting conducted for different audiences, some may be available for non-specialists to independently access.
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