MRO Data Quality Archives | 扣扣传媒 The design Experts Mon, 04 Jul 2022 19:08:46 +0000 en-US hourly 1 MRO Data Cleansing – A Must for Effective Master Data Management /blog/mro-data-cleansing-a-must-for-effective-master-data-management/ Thu, 12 Aug 2021 12:06:19 +0000 https://enventure.com/?p=18951 The MRO master data cleansing process transforms inconsistent and corrupt data into reliable data. It results in a common material and vendor catalog that ensures

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The process transforms inconsistent and corrupt data into reliable data. It results in a common material and vendor catalog that ensures supply chain efficiency, high-speed parts retrievals and up-to-date records.

Though the process seems simple, it鈥檚 not. Industry specific taxonomy, best data classification practice, specialized data workflows, and data cleansing experts are required to cleanse mass MRO data across . The idea behind material master cleansing is to keep data files in order. The files should be accessible across the organization without any errors. This is why, MRO data cleansing companies recommend timely data audits, accurate classifications and the best data cleansing processes to enrich the master data management strategies of their clients.

The need for MRO data cleansing

It鈥檚 critical to maintain reliable data quality for the smooth functioning and success (or failure) of an organization. This is specifically true for manufacturing, processing and asset-intensive organizations looking for optimum value generation.

  • As firms scale up, an increase in the complexity of digital and inventory data throws up new challenges that require adept handling of the material master.
  • Inferior data quality may result in unusable and unreliable data, lack of spend visibility, ownership issues and junk accumulation.

MRO data cleansing specialists help you identify gaps created by sub-standard processes, obsolete technology, major organizational changes and manual MRO data handling processes to ensure more effective Master MRO data management. For instance, a robust taxonomy system in a can help segregate spare parts that are food grade and nonfood grade to reduce risks and streamline asset performance.

Benefits of MRO data cleansing

The consequences of removing the inefficiencies of low data quality are many:

  • Structured and unified MRO data will curb the high costs of impulse purchases/spot buys
  • Reduced equipment downtime and stock-out of critical parts
  • More informed preventive maintenance decisions and intelligence sharing of maintenance operations
  • Effective procurement of inventory, materials handling operations and Inventory optimization
  • Successful part searches and MRO item identification
  • Efficient sourcing strategies and enterprise risk mitigation
  • Better maintenance systems performance, MRO supply chain optimization, and process compliance

Tasks performed during MRO data cleansing

  • Rationalization/ Normalization of descriptions with noun-modifier pairs
  • Determination and removal of MRO data duplicity
  • Use of correct data dictionaries for product description
  • Accurate extraction and filing of attributes
  • Application of reliable information for data management, enhancement and validations
Cleansing MRO Master Data with 扣扣传媒!

Are you worried about duplicate entries, missing information of MRO parts, inconsistent classification and a difficult EAM system? Get rid of bad master data and ineffective coding structures. Upgrade your materials master via smart data cleansing initiatives. Connect with 扣扣传媒 to get the best results from your MRO data, today.

Talk to an MRO Data Specialist today!

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扣扣传媒 wins contract to support Inventory, Procurement, and Warehouse cost reduction for a Gold Mining company in North America /news/enventure-wins-contract-to-support-inventory-procurement-and-warehouse-cost-reduction-for-a-gold-mining-company-in-north-america/ Mon, 05 Jul 2021 08:14:57 +0000 https://enventure.com/?p=18701 Portsmouth, NH; July 05, 2020 鈥 扣扣传媒 has been awarded a contract to identify parts and assets specifications, and classifications, to enable accurate spend, and

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Portsmouth, NH; July 05, 2020 鈥 扣扣传媒 has been awarded a contract to identify parts and assets specifications, and classifications, to enable accurate spend, and thereby understand opportunities in 鈥 inventory, procurement and warehouse.

The client has mines in North, Central and South America, the client holds a significant share in gold, supplies across the globe with multiple mines.

The major challenge for the client is their supplier have been supplying the MRO parts with multi-year contracts, yet not been able to identify what make, model they are purchasing, barring just the generic part category e.g., a bearing, or a gasket, or a belt without specifications.

扣扣传媒 estimates that the company may have been purchasing items that would already be available in their warehouse, and from the data analysis, this percentage we believe will be higher than normally present. All the while the company was making 鈥榩rocurement and spend鈥 decisions basis the data they had, and during the engagement they discovered that 鈥榯hey do not know what they are buying鈥.

The approach to address this challenge is by working on that data in phases 鈥 by site, by category, which is critical for the success of the project. During the engagement we understood both from the data and the client that the origins of this challenge is due to 鈥 multiple formats, multiple systems, multiple bad actors, and acquisitions. This caused them to rethink their entire procurement strategy.

Also put forward an important question 鈥 鈥楬ow is their risk with managed?鈥 The managed MRO Data offering includes 鈥 Data Enrichment, Classification, Real-time integration, and ongoing governance. The entire package is enabled with a combination of an online platform 鈥 Partlinq庐, to automate workflow management 鈥 and a dedicated team of MRO Engineers, Data Catalogers, ERP Material master specialists.

鈥淎t 扣扣传媒, we aim to address two critical aspects for the company viz., Reduce risks and Reduce procurement costs. And to achieve this, we begin with delivering good quality data which is cleansed, classified, enriched, and by eliminating duplicates鈥, says Joseph Santosh 鈥 Head of Partnerships & Solutioning, 扣扣传媒.

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