PEAK provides a complete range of Master-Data Services, which includes data audits, data classification, data cleansing, data enrichment, data gathering, and master-data creation. PEAK utilizes the right mix of content knowledge, domain expertise, and automation in the process to produce high quality content.
PEAK can do a detailed data audit to evaluate the current data quality. These findings are then used to determine the roadmap (based on client objectives) for the data-processing effort, including the data-enrichment levels required. Various issues such as duplicates, coding errors, inconsistencies, etc., are identified and then the necessary corrective actions are recommended.
Proper asset (equipment) and parts classifications are important for an effective CMMS/EAM implementation.
PEAK can classify the products and services to popular, global-standard schema, such as UNSPSC, eCl@ss, NAICS, MESC, NIGP, SMD, etc.
PEAK can classify the products and services to in-house/proprietary schema of the manufacturer/supplier.
PEAK’s team of taxonomy experts can build a schema to specific domain that is tailored to the client’s needs. This schema comes with category codes, category definition, attribute names, and attribute definitions that are cross-referenced to any existing schema.
PEAK’s team of taxonomy experts are well versed with classification hierarchies and can map any proprietary schema to global schemas.
Clean and accurate asset, parts, and vendor data provide the foundation for maximizing the ROI of technology investments. PEAK assists in creating and maintaining a clean equipment master, item (parts) master, and vendor master files.
PEAK specializes in data cleansing and employs a panel of domain experts who work with operational teams in order to determine the right noun/modifier combination, its attributes, and the correctness of attribute values. PEAK can provide attribute extraction to various industry standards or can develop a unique set of attributes using internal domain knowledge.
PEAK offers a complete range of data-cleansing services:
- Data normalization and rationalization
- Duplicate-part identification and removal
- Attribute extraction and population
- Abbreviation expansion
- Supplier and manufacturer rationalization
Noun/modifiers help to precisely identify a product and to easily group parts. PEAK can assign noun/modifiers to products with the help of existing descriptions.
Duplicates are identified and removed by adopting various permutations of pattern-matching rules, database queries, and manual inspection.
Rearranging the Description
Using our team of highly experienced content engineers, input descriptions are rearranged in the following order: noun/modifier, defining attributes, manufacturer name, part number, etc. PEAK can also create a short description to limit the number of characters.
PEAK can provide attribute extraction to various industry-standard attribute schemas and can also develop a new set of attribute schemas by using in-house domain knowledge.
PEAK can format the data entities, such as manufacturer/supplier names, attribute values, abbreviations, units of measurement, etc., to uniform and consistent values based on a specific style guide.
PEAK provides data-enrichment services, which may involve collecting content from various sources. Besides web research, PEAK does manual sourcing in order to collect all possible critical product information. Completely attributed data with digital images, contact information, and PDF documents are sourced.
PEAK can perform data enrichment by employing any or all of the following steps:
- Data enrichment by sourcing manufacturer websites
- Data enrichment by "manual sourcing," i.e., contacting suppliers for additional information
- Data enrichment by collecting additional information through plant walk-downs
PEAK takes the following steps to enrich the data:
- A list of distinct manufacturers are compiled from the input data
- A team specializing in locating online resources collects official/authorized web sources for each manufacturer
- Manufacturer-website URLs, images, and data sheets are recorded
- From the given input, descriptions are analyzed and appropriate noun/modifiers are assigned (per attribute schema determined by client needs)
If required, data classification and data cleansing is performed based on the client's preference:
- Attribute templates are selected for the individual noun/modifier combinations and applied to the record
- Images are sourced and resized and/or cleaned up if required
- Values for these attributes are populated from the input and websites
- Quality checks are carried out during the production process and before delivery
Supplier sourcing or manual sourcing is the process whereby suppliers are directly contacted for product information when web sourcing does not yield results. PEAK will contact the suppliers, by email, phone call, or fax, to obtain product information.
The data is collected from various sources within the plant, such as stores, item master, purchase orders/requisitions, codification rules, tags, nameplates, catalogs, etc. Additionally, the items are physically assessed and measured to gather technical data.
PEAK will revisit BOM in greater depth, review obsolete parts, and compute appropriate reorder points for critical parts.
PEAK has observed that many businesses and organizations lack the resources that are necessary to collect and to enter data. That is where PEAK comes into play. We do it all for you. PEAK’s representatives will be sent out into the field, be it a manufacturing plant or a healthcare facility; and we collect all of the data, including name plate, model number, serial number, etc. After all of the data is collected, we put it into a spreadsheet and, upon the client’s verification, enter it into the system. Accurate and timely data are crucial for management to analyze and to make meaningful decisions.
PEAK developes and optimizes PM procedures for all the assets owned by the client. PEAK provides the client with a turn-key solution.
PEAK will first establish the criticality of each piece of equipment. Our analysis considers many criteria, such as downtime, demand, safety, environmental issues, quality, failure, failure history, customer service, etc., focusing on criteria that apply to the client’s operation. In the analysis, we also consider the weight of the criteria, i.e., which criteria are more important, and establish a final criticality ranking for each piece of equipment from highest to lowest, e.g., (A, B, C, D).
Equipment Data Management/Cleansing
PEAK will establish equipment types/subtypes, equipment hierarchy, Bill of Material (BOM), and consistent equipment description.
- Cost savings
- Improved part-search ability
- Accurate reporting capabilities
- Improved employee productivity
- Elimination of false stock-outs
- Reduced equipment downtime
- Reduced emergency purchases
- Investment recovery opportunities on excess and obsolete materials
- Fully enhanced part descriptions for easy part identification
- Accurate and accessible BOM
- Proper system configuration and data formatting
- Seamless data migration and integration
- Reduced IT support efforts