Now and Next: A Maturity Model to Guide Analytics Growth

Maturity models concerning the analytics function within organisations cover several characteristics such as data, leadership support, processes, data management, governance, technology and people. Existing models, however, focus on diagnosis rather than guiding future developments, and overlook the importance of IT/Analytics-Business alignment. This paper presents a maturity framework which addresses these two shortcomings and distinguishes between two aspects of maturity – a “state” aspect which is used to access the present situation in the company, and a “management” aspect which analyses existing processes to establish the next stage of the company’s growth in the analytics area. The framework’s utility has been demonstrated through obtaining feedback from a number of managers, who have praised the ability of the framework to integrate diagnosis of the current situation with guidance on the next steps necessary to develop analytics maturity

Distributed Representational Analysis in Support of Multi-perspective Decision-Making

This paper describes research that explores principles of designing visual representations of data in sup-port of strategic decisions from the perspective of distributed decision makers. It uses the concept of distributed cognition (DC) to understand requirements of different stakeholders for data and information needed for making decision, and the concept of boundary objects to understand the shared utility of the visual representations in cross-functional decision-making. The study examines a product development setting in which decision-making is based on data resulting from digital modeling. Visualizations are widely used to explore data and make sense. However, research lacks studies connecting data visualization to decision-making. This research aims to propose visualization principles that are based on investigating information and visualization requirements of distributed decision makers. This empirical study uses the human-centered distributed information design (HCDID) methodology to analyze stake-holder requirements in a case study company and contributes to the research of decision-making with big data and analytics, particularly to corporate multi-perspective decision-making

TPI UK ITL1 Scorecards

This dataset includes scorecards for all 12 ITL1 regions in the United Kingdom. These scorecards indicate for each ITL1 region how well the region is peforming as compared to the median of all ITL1 regions in the UK, for a broad set of indicators. These indicators are considered to be drivers of productivity and are classified according to five broad categories: Business performance & characteristics; Skills & training; Policy & institutions; Health & wellbeing; Investment, infrastructure & connectivity. The sources and methodology of the indicators, and their use in the scorecards is included, as well as a brief overview of this project

TPI UK ITL3 Scorecards

The TPI UK ITL3 scorecards are produced to assess the United Kingdom's subregional productivity performance through a range of productivity indicators and drivers. These scorecards include data for 179 regions, defined by the International Territorial Level 3 (ITL3). In addition data is available for 12 aggregate ITL1 geographies, covering the whole of the United Kingdom. Data is available for three indicators of productivity, and 12 productivity drivers, for the years 2019, 2020 and 2021.The current ITL3 scorecards complement the TPI UK ITL1 Productivity Scorecards, published by the Productivity Lab in January 2023. Providing a higher level of geographical granularity, the ITL3 scorecards can be used as a tool by policymakers at the regional level, to assess the productivity performance in their region, both relative to their ITL1 parent region as well as the UK as a whole, including key indicators that influence this performance.This dataset includes:Sources and methods documentation12 PDF files with the ITL3 scorecards for each of the ITL1 regions in the United KingdomCSV data file containing: harmonised input data, at the ITL3 and ITL1 levelCSV data file containing: with scorecard indicators and drivers at the ITL3 and ITL1 levelTPI UK ITL3 DashboardsThe TPI Productivity Dashboards are interactive representations of the TPI UK ITL3 Scorecards. These dashboards have been created as a visualisation tool to fulfil the need for relevant data to allow policymakers to compare regional productivity performances across the country and to identify regional drivers that facilitate or hinder productivity in different UK geographic areas. Using the UK TPI Productivity Dashboards, policymakers and stakeholders can drill down to sub-regional levels and productivity measure perspectives. The Dashboards below offer an interactive and easy-to-use way to build a picture of productivity at different points in time.Regional Interactive Dashboards:United Kingdom (ITL1 level)North EastNorth WestYorkshire and The HumberEast MidlandsWest MidlandsEast of EnglandLondonSouth EastSouth WestWalesScotlandNorthern Irelan