Efficient business processes: The secret of data quality

Common challenges

Organizations often face challenges when it comes to data quality:

• Inconsistent data
  When extracting data from different IT systems, this data must be synchronous in the timeline. Important core data is often used in multiple systems and thus must always be interchangeable one-to-one, otherwise it can lead to confusion and inaccurate analysis. Incidentally, this problem also often arises in organizations that use Excel for data processing. Different versions often rotate within an organization or even within departments!
• Inaccurate data
  A human typing error is easily made. Thus, in the absence of validation, incorrect data is introduced into the system This potentially affects immediate decisions in the business process, as well as the accuracy of the insights gained.
• Incomplete data
  Recognizable are the situations where not all business process data has been provided. Missing data can create critical gaps in business process execution. By applying Poka-Yoke techniques such as mandatory fields in our smart forms, complete data entry is enforced.

Impact on the organization

Poor data quality has a huge impact on the operations and healthy financial performance of any organization.

• Execution of daily business processes where information management is not properly organized can lead to wrong decisions, delays in execution, as well as frustration and tension among employees and departments.
• Incorrect data that goes unnoticed in internal operations can lead to customer complaints, and if it occurs regularly, it can also be detrimental to reputation in the marketplace.
• To keep up in an increasingly fast-moving marketplace, continuous improvement is a must and one must understand all risks and opportunities with up-to-date information.

Improving data quality

Data quality is all about accuracy, completeness, consistency and reliability. LeanForms helps organizations optimize business processes and implement uniform data, minimizing inconsistencies. Validation processes ensure that accurate and current data is used. By simplifying data entry and management, crucial information is prevented from going missing. This also eliminates the need for your organization to rely on paper lists or Excel lists, which often cause errors and inefficiencies in data management.

By using real-time reporting and workflow management, LeanForms ensures that your data is always up-to-date.

Improving data quality starts with strict data standards, automated cleansing, periodic audits and targeted employee training.

Visualizing data with Power BI

LeanForms provides accurate, up-to-date data by digitizing business processes and helps organizations combine and visualize this data using Power BI. By retrieving operational data live and integrating it into clear dashboards, new insights can be gained that support strategic decision-making.