Data Quality Management The Basis for Digital Change

Data is the new currency of business in today's data-driven economy. 

Every choice you make, from supply chain optimization to asset management and retention, depends on the precision and dependability of your enterprise data. 

However, unstructured, unnecessary, and incomplete records continue to be a problem for many organizations, undermining trust and raising operating expenses.

Data Quality Management (DQM) can help with this. DQM guarantees that your data is accurate, consistent, and business ready, going beyond simple standardization and cleansing. This enables you to attain efficiency, compliance, and digital transformation.

With AI powered Data Quality solutions 

based on our validated taxonomy and master data repositories, we at PiLog Group have completely changed the way businesses manage their data. 

Let's examine the importance of data quality, the issues it tackles, and how smart DQM can help your company grow.

Why Data Quality Is More Important Than Ever?

There is a hidden cost to poor data. According to industry studies, companies lose 15–25% of their yearly revenue due to poor data. In addition to slowing down procedures, inconsistent descriptions, unnecessary supplier records, or missing asset attributes have the following direct effects:

  • Efficiency of retaining, Incorrect or unnecessary part numbers result in increased expenditure.
  • Regulatory risks are increased by missing or erroneous reference data in compliance and audits.
  • Making decisions , When the underlying data is faulty, leaders cannot rely on reports and analytics.
  • Even the best ERP, SAP, or AI initiatives will perform poorly if they lack a solid foundation of clean, standardized data

Enterprise Data Management Problems.

The majority of the organizations have millions of data records spanning across various systems. 

Common issues include:

  • Free text entries in the description of materials, assets, and suppliers that are not structured.
  • Duplicates of records that have been developed as a result of naming inconsistencies.
  • Incomplete properties like units  of  measure, manufacturer or vendor descriptions.
  • Isolated repositories and this complicates their integration with ERP or SAP systems.
  • Hand classification that is time consuming and brings about mistakes.
  • Not only do those challenges strip organizations of resources, but they also fail to enable the latter to become agile and cost effective.

Approach of Data Quality Management of PiLog.

The Data Quality Management (DQM) solution of PiLog is aimed at streamlining the process of transforming raw and unstructured data into trusted and actionable information, automating the process. PiLog is a product that is based on the experience of decades of Master Data Management (MDM) and combines algorithms based on AI with industry standard taxonomy.


 Important PiLog DQM Capabilities.

  • Data Analysis & Assessment
  • Check the source data in terms of completeness, consistency, repeat, and standardization.
  • Determine loopholes which influence decisions and adherence.
  • Automated Classification
  • Assign auto categorization classes and characters in the taxonomy of PiLog to every record.
  • Standardization of all material and assets records.
  • Attribute Extraction
  • Obtain capture characteristic values and units of measure (UOMs) straight off of the free text descriptions.
  • Get references such as Part #, Model #, Drawing #, Manufacturer, Vendor and extract.
  • Bulk Review & Quality Control
  • Review in batches using QC tools and DQ assessments.
  • Abort repeat and enhance partial records.
  • Repository Mapping
  • Maps Auto create source data by using PiLog global repositories and trusted external sources.
  • Make only one version of truth between ERP and SAP systems.

Enhanced Quality of Data in Business.

Once your enterprise data is organized, standardized, and controlled, the outcomes are transformational

✅ Cost Savings Get rid of duplicate buying, inventory expenses and nonconformist suppliers.

✅ Better Uptime  Be sure to have critical spares and assets visible and available when required.

✅ Regulatory Compliance Have accurate and traceable data in audit ready records.

✅ Improved Decision Making  Gain trust in reports, dashboards, and AI powered analytics.

✅ Digital Transformation Readiness ERP migrations, AI projects and automation projects are powered by high quality data.

Inorder to conclude ,clean data = superior business performance.

Data Quality as the Key to AI and Digital Transformation

AI, predictive analytics, and intelligent automation are getting accepted by modern enterprises. However, these technologies are dependent upon a single tool trusted data.

For example

  • Predictive maintenance needs the right history of assets.
  • AI based retaining  requires uncontaminated supplier information.
  • Digital twins rely on the standardized description of material and equipment.
  • In the absence of the Data Quality Management, these innovations will not provide ROI. PiLog makes sure that your data base is strong, stable and future oriented.

Why Choose PiLog?

PiLog is an international leader in Master Data Management, Data Quality and Governance in a business, and this has been the case over 20 years. Our solutions are SAP Endorsed Apps and the choice of organizations in manufacturing, utilities, oil and gas, supply chain, and others.

  • You do not only purchase a tool when using PiLog, you obtain:
  • Industry supported proven methodologies.
  • Industrialized master data repositories.
  • Robotics in the form of AI based automation that lessens human labor.
  • International capabilities with domestic assistance in various areas.
  • Recommendation: Transform Your Data into a Business Asset.

One of the most valuable enterprise assets is data. However, in the absence of quality, it turns into a liability which adds cost and risk. 

Through implementing the Data Quality Management solution offered by PiLog, you will be able to convert data that is not structured into a reliable platform of growth, compliance and innovation.

The digital transformation begins with clean, organized, and trusted data. Are you willing to utilize the Data Quality power?

 Reach out to PiLog now and begin to create a transformation ready data strategy.

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