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Business intelligence like never before
DISCOVER –> DEFINE –> MONITOR
Go from data to insights in minutes. Any data, anyway, anywhere. And all in one view.
We build custom dashboards which can connect to hundreds of data sources, simplify data prep, and drive ad hoc analysis. Produce beautiful reports, then publish them for your organization to consume on the web and across mobile devices. Get a 360-degree view of your business. And scale across the enterprise, with governance and security built-in.
DATA QUALITY AND STANDARDIZATION
Standardization and Quality with 3 C’s – Complete, Consistence and Conformity
Standardizing Material Description, Base UoM, and Abbreviating Classification Data, can reduce the duplicates and keeps the quality of data high.
Material Descriptions (Driven by SMD standard)
Long Descriptions are generated with the combination of Noun, Modifier, and Specification Name Value Pairs. Long description are non-abbreviated and Length of the descriptions vary depending on the specification values.
[Noun], [Modifier]; [Attribute 1 Name] [Attribute 1 value]:[Attribute 2 Name] [Attribute 2 value]:[Attribute 3 Name] [Attribute 3 value]:
Short Descriptions are generated with the combination of Noun, Modifier, and Specification Values. The specification values are the priority values of the product. The short description is a 40-character in length generated using the Abbreviated form of noun, modifier and specification values.
[Abbreviated Noun],[Abbreviated Modifier]:[Abbreviated attribute 1Value],[Abbreviated attribute 2 value],…[Abbreviated attribute N Value]
Base Unit of Measures(UOM)
Several unit of measure standards were considered in establishing the standard UOM list. The standard UOM list is developed with the consideration of following UOM standards in the industry. They are,
United Nations Economic Commission for Commerce (UNECE),
American National Standards Institute (ANSI),
International Organization for Standardization (ISO) and International System of Units (SI).
Example: Inch – Inch, Millimeter – MM
Data Abbreviation Standards
The abbreviations are the standard short form representation of the Noun, Modifier, attribute name and values. The abbreviated names are used to generate the short description with the intention of accommodation of more values.
Example: BEARING – BRG, CLAMP – CLMP
Data Classification – United Nations Standard Products and Services Codes (UNSPSC)
The UNSPSC is a global reference taxonomy or classification framework for all products and services. The UNSPSC is a hierarchical classification, having four levels Segment, Family, Class, Commodity. Each level contains a two-character numerical value and a textual description.
UNSPSC classification for Pressure Gauge.
Product Data Deduplication is a process of identifying and removing the redundant items. The Duplicate Items are identified based on same manufacturer and part numbers or may be different manufacturer but same functionality. This duplicate identification process will be processed after completion of the complete Material Master Standardization process.
Exact Match: Exact match duplicates are identified by comparing the manufacturer name and part number.
Potential Match: Also, called as Functionally Same/Interchangeable products. Potential duplicated are identified by comparing the product descriptions.
Manage and Govern your DATA centrally with industry standard Workflows
Understanding Customers Pain Points, Defining Data Requirements formulates the scope of the project. These are the key identifiers for building a Business Blueprint.
Customized Business Process workflows allows the Data Stewards and Dataset Owners to get a visibility on their data and whole business process. Our expert team can create custom workflows that can fit your business needs.
Taxonomy and Classification is part of Master Data Setup, which is important for any organization for classifying their products, and materials which are key for any supply chain needs. Organizations are impacted because of no setup or bad data in their systems and incur millions of dollars in penalties. Fabit has helped many Fortune 500 clients with its unmatched experience.
Our classification and Taxonomy Model of Materials, and Products has more than 4,0000, unique Noun modifier combination in the dictionary. The Noun modifier dictionary is a two-tiered classification schema with consistent naming convention. Each Schema consists of Noun/Class and Modifier/Sub-Class with associated characteristics that describes the general part attributes.
Each noun modifier is having minimum of 8 attributes and maximum of 27 attributes with attribute type, descriptions, sample values, Unit of Modifiers and attribute priority. As per each client requirement, the Noun-Modifier Dictionary can be modified and/or rearranged as needed.
Conversion and Migration of Data needs a thorough understanding of Master Data from various modules of an Enterprise. Fabit CoE (Center of Excellency) team has tremendous knowledge and experience who can define the Strategy and deliver the right approach for migration of data.
Few of the key modules we focus are,
Data Extraction and Migration Approach:
Extract and Transform your data with predefined steps and process which can be modified to include the business rules and validations. This proven approach can reduce the cost and is more productive.
SAP Data Migration Approach:
Define customized Process
Identify Inactive / Absolute Material
Sourcing & Product Identification (By defining Noun Modifier)
Standardize Manufacturer Name & Part number
Standardize Supplier Name & Part number
Product Classification (UNSPSC, Ecl@ss )
Schema Mapping / Development
Data Capture (Web, Catalogs)
Description Generation – Long and Short