Discover how effective your data is with the Maextro Data Survey. Find areas to improve data leverage, resulting in overall organisational innovations.
How Effective is Your Data?
Modern enterprises rely on their master data for the most basic of functions, underpinning many business departments. Understanding how effective that data is in delivering business needs is essential. With ever-changing market conditions, material costs or customer values, data has an ever shorter shelf live and organisations cannot rely on older data to produce results that drive itself forward.
Understanding this is at best an arduous process if done manually. But manual data processing and its wider processes are becoming a thing of the past, thanks to Maextro. Maextro’s Data Survey produces results in just 10 minutes. It’s the fastest way to create a data maturity index and discover how effective your data really is.
Unlock More From Your Data
The Maextro data survey empowers organisations to leverage more from their data by conducting a comprehensive assessment of their master data management capabilities. This survey delves into various aspects, including data governance, quality, integration, and analytics utilization.
By participating in the Maextro data survey, businesses gain valuable insights into their data maturity levels and identify areas for improvement. Armed with this knowledge, we can help implement targeted strategies, enhance data practices, and leverage their master data to its full potential, driving efficiency, innovation, and sustainable growth.
The Data Survey Process
Data Maturity Index
The Bluestonex Data Maturity Index is a framework to measure how organisations use data. This framework is an attempt to understand data strategy, data governance, data quality, data velocity, the processes affected by data, and finally the user experience for those who maintain data in the organisation. The Data Maturity Index is a number between 1 and 5 and is visualised by a gauge chart
Send and Complete
We send out a Data Maturity survey to the users who primarily deal with data. In this survey, we wish to gain insight into how the organisation uses data. We are interested in data strategy, data governance, data quality, data velocity, the processes affected by data, and finally the user experience for those who maintain data in the organisation. It takes about 10 mins to complete the survey and all the responses are confidential.
Analysis and Scoring
The Bluestonex Data Maturity Index can be analysed with the help of a dashboard where an overall score is given based on the data collected by the survey. In addition to this, we analyse each area and provide a score for them (data strategy, data governance, data quality, data velocity, the processes, and user experience). All these scores are out of 5 and give a better understanding of the current state of data in the organisation. The dashboard also gives an insight into the survey audience and analyses a few of the responses under each category.
Data Survey is available as both a product or a service.
Begin Your Data Survey
Want to know how effective your company master data is or which areas can be better leveraged? Begin your Data Survey journey today and register for a free session with one of our master data experts. Click below to reserve your place.
Data Survey FAQs
To analyse survey data on SAP master data, follow these key steps:
• Define objectives: Clarify the survey's purpose and identify specific insights needed from the SAP master data.
• Descriptive analysis: Summarise key statistics and trends to understand the data's distribution and characteristics.
• Segmentation: Categorise respondents based on relevant criteria, such as departments or roles.
• Cross-tabulation: Examine relationships between variables to reveal patterns and correlations.
• Visualise results: Create charts and graphs to communicate findings effectively.
• Draw conclusions: Interpret results, identifying actionable insights for process improvements or data quality enhancement.
The Maextro Data Survey combines these steps into one automated framework, reducing the time spent on execution and increasing time spent on post-survey action.
Data maturity refers to an organisation's capability to effectively manage and leverage data throughout its lifecycle, progressing from basic to advanced levels. At lower stages, data is fragmented, unstructured, and lacks standardisation. As maturity increases, data becomes more organised, accessible, and integrated. Advanced levels involve data governance, quality control, and analytics utilisation. A mature data environment fosters informed decision-making, enhances efficiency, and supports innovation. Achieving higher data maturity involves establishing robust data management frameworks, investing in technology, fostering a data-driven culture, and continually refining processes to unlock the full potential of data assets.
A data maturity model is a framework used to assess and measure an organisation's proficiency in managing data effectively. It defines a series of progressive stages or levels, each representing a higher level of data management capabilities. The model evaluates various dimensions of data, such as governance, quality, integration, analytics, and organisational culture. As organisations progress through the model's levels, they enhance their data practices, becoming more data-driven and achieving better insights for decision-making. Data maturity models provide a roadmap for improvement, helping organisations identify gaps, set goals, and implement strategies to optimise data utilisation and gain a competitive advantage.
A data maturity assessment should be performed regularly to track an organisation's progress in managing and leveraging data effectively. The frequency of assessments depends on factors like the organisation's size, complexity, and data-related goals. Generally, conducting assessments annually or biennially is recommended to gauge improvements, identify gaps, and refine data strategies. Frequent assessments allow timely adjustments to data management practices, technology adoption, and skill development, ensuring the organisation stays aligned with evolving data needs and industry trends. Additionally, major changes in data infrastructure, business processes, or strategic priorities may warrant more frequent assessments.
A data maturity assessment is completed through a structured process of evaluating an organisation's data management capabilities. Key steps include defining objectives and criteria, gathering data from various sources, conducting interviews, and distributing surveys. Assessors analyse the information to determine the organisation's current data maturity level, identifying strengths, weaknesses, and areas for improvement. They compare the results against industry best practices and benchmarks to provide valuable insights and recommendations. The assessment culminates in a comprehensive report, outlining actionable steps to enhance data governance, quality, analytics, and overall data-driven decision-making. Regular assessments ensure continuous progress toward higher data maturity and improved business outcomes.