Data Diagnostic

Data Diagnostic

Assess your company’s data maturity and discover where to improve.

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Culture & Organization

Please choose one option

Is there someone responsible for managing data (customers, products, suppliers)?
💡 Example: Is there a person or team that checks whether customer information is accurate?(required)
Does company leadership value information quality?
💡 Example: Is “data accuracy” discussed in meetings or included in company goals?(required)
Has any assessment ever been done on how data is managed?
💡 Example: Has the company ever evaluated whether its data is complete or up to date?(required)
Are there indicators to measure data quality (e.g., errors, duplicates, missing data)?
💡 Example: Are there reports showing how many records are incorrect or incomplete?(required)
Is there a culture of collaboration between departments around data?💡 Example: Measures whether departments (Sales, Purchasing, Finance, etc.) already work together in data management — an indicator of cultural maturity.(required)
Do employees receive training or guidance on good data management practices?💡 Example: Checks whether there is internal awareness and if the company already invests in team training — essential for the adoption of any MDG solution.(required)

Data Quality

Please choose one option

Are duplicate or incorrect records common (e.g., customers registered more than once)?
💡 Example: Does the same customer appear under different names in different systems?(required)
Have these errors ever caused problems (such as wrong deliveries, incorrect invoices, or complaints)?
💡 Example: Has a delivery ever been lost because of an incorrect address?(required)
Are there automatic system rules to prevent errors (e.g., VAT format, product codes)?
💡 Example: Does the system block saving a VAT number with missing digits?(required)
Can the company easily access reports on data quality?
💡 Example: Are there dashboards showing the current status of master data?(required)
Have databases been unified after mergers, acquisitions, or system changes?
💡 Example: Introduces the topic of data consolidation — directly linked to the Master Data Consolidation capability of SAP MDG.(required)
Does the company have several branches or business units with different systems?
💡 Example: Does each branch still maintain its own customer/supplier system?(required)
Does the company have a central system for data management (MDG)?💡 Example: Does each branch have a central point where all data is managed in a consistent way?(required)
Is there a defined process for regular data review and cleansing?💡 Example: Measures whether there is continuous data quality management — not just occasional corrections — linked to Data Quality Management.(required)

Processes & Responsibilities

Please choose one option

Is there a clear process for creating or changing data (e.g., suppliers, products, customers)?
💡 Example: Is there a defined workflow with approvals before activating a new supplier?(required)
Do teams from different areas (Sales, Purchasing, Finance) collaborate in data management?
💡 Example: Do all departments use the same customer record and update it together?(required)
Do employees receive training on how to keep data accurate?
💡 Example: Are there sessions or manuals explaining how to correctly fill in information?(required)
Are there regular meetings or reviews on data policies and improvements?
💡 Example: Is there a committee or group that discusses data issues and proposes improvements?(required)
Is there someone who reviews and validates data before it enters the main system?💡 Example: Checks whether there is an approval workflow or a formal validation process before data creation or changes.(required)
Are responsibilities for data quality documented?💡 Example: Reinforces role clarity and the existence of defined data owners and stewards — fundamental for governance.(required)
Is there version control or a history of changes to master data?💡 Example: Measures traceability — whether it is possible to know who changed what and when.(required)

Technology & Tools

Please choose one option

Does the company use any system to control the creation and approval of master data?
💡 Example: Is there a tool that manages the lifecycle of customers, products, and suppliers?(required)
Are data integrated across different systems (ERP, CRM, eCommerce, etc.)?
💡 Example: When a customer is created in the ERP, is the information automatically updated in the CRM?(required)
Has the company ever evaluated any data management tools (e.g., SAP MDG, SimpleMDG, etc.)?
💡 Example: Has the company compared solutions that help validate and centralize master data?(required)
Is there a budget allocated to improving data management and quality?
💡 Example: Is there funding planned for investing in software or training on data management?(required)
Are there automatic alerts to flag data errors in real time?💡 Example: Evaluates whether the system includes preventive mechanisms such as validation rules and automatic notifications — Data Quality Management.(required)
Are there reports or dashboards that continuously monitor data quality?💡 Example: Checks whether the company has ongoing visibility into the health of its data (quality KPIs).(required)

Note: After submitting this form, you will be contacted by email by BAG Consult to schedule a brief free meeting, where you will receive a personalized report with your diagnostic results.