Data Management Maturity Assessment

The main challenges in data management typically consist of:

• Not having a clear data strategy in place: without a clear strategy, it can be difficult to make informed decisions about data management.
• Poor data quality: poor data quality can lead to inaccurate analyses and poor decision-making. This can cause delays and additional costs when data needs to be cleansed or corrected.
• Insufficient data security and privacy measures: these are crucial, especially with the increasing prevalence of cyberattacks and data breaches. Failing to protect sensitive information can result in legal and reputational damage.
• Lack of data governance: without proper governance, there may be inconsistency in data definitions, access and usage, leading to data silos and misinterpretations
• Inadequate data infrastructure and lack of prioritization: this can lead to issues such as slow processing times, limited storage capacity or outdated tools. As data volumes grow, it is important to ensure that the organization has a scalable and efficient infrastructure and that priorities are set in line with the company's objectives.
• Failing to incorporate data analytics: to gain insights and make informed decisions, this can limit the value of the data collected. It is important to ensure that the organization has the tools and expertise to effectively analyze and utilize data.

By avoiding these common mistakes, organizations can improve the effectiveness of their data management processes and make better use of their data.

The KPMG Advanced Data Management Framework (ADM) offers an effective solution for organizations to build trust and derive value from their data. It integrates international data management standards with KPMG's extensive experience and includes an online survey tool to assess an organization's maturity in key areas such as data strategy, governance, quality and metadata.

The KPMG Advanced Data Management Maturity Assessment (ADMMA) is designed to help C-Level management assess the maturity level of their organization's data management practices. The service offers a cost-efficient and self-assessment approach to determine the level of data management maturity, which can help the organization develop an actionable roadmap for improving data management practices.

The methodology includes a clearly outlined questionnaire that can be customized to meet the specific needs of the organization. The goal is to identify areas of strength and weakness in the organization's data management practices and define a roadmap for optimization. This can lead to better decision-making, improved operational efficiency and reduced costs among other benefits.

The assessment will provide your organization with a comprehensive report that increases your awareness and understanding of your current data management practices. The ADMMA will offer a holistic view on in the following areas of the framework:

• Identifying areas for improvement: the assessment can highlight gaps and weaknesses in the organization's data management processes. This can help the organization develop an action plan to address these areas and improve its data management maturity.  
• Reducing costs: an effective data management strategy can help organizations reduce costs associated with data storage, processing and analysis. 
• Using international KPMG experience and benchmark opportunity: we help you identify best practices by bringing our cross-sector, long-term experience in various industries to help you identify opportunities for improvement and stay competitive in a fast-changing business environment. 

In addition to the above-mentioned benefits, we will offer high-level recommendations to help you enhance the maturity of your data management roadmap. Our team will assist and guide you in envisioning your desired future state of data management and developing an actionable roadmap to achieve it. Get in touch.