Leveraging the power of UNSPSC for Business Intelligence



Similar documents
A UNSPSC Success Story. Ministry Health Care Milwaukee, Wisconsin

Introduction and Overview UNSPSC. United Nations Standard Products and Services Code

Business Intelligence: Effective Decision Making

CHAPTER 5: BUSINESS ANALYTICS

Technology-Driven Demand and e- Customer Relationship Management e-crm

CHAPTER 4: BUSINESS ANALYTICS

QAD Business Intelligence Release Notes

Business Intelligence, Analytics & Reporting: Glossary of Terms

White Paper February IBM Cognos Supply Chain Analytics

PROCUREMENT: A Strategic Lever for Bottom Line Improvement

Data Warehousing: A Technology Review and Update Vernon Hoffner, Ph.D., CCP EntreSoft Resouces, Inc.

Spend Enrichment: Making better decisions starts with accurate data

Spend Analysis: The Nexus of Spend Management. November 2011 Constantine G. Limberakis

Oracle BI Application: Demonstrating the Functionality & Ease of use. Geoffrey Francis Naailah Gora

IBM Cognos Performance Management Solutions for Oracle

Healthcare Provider Tool Kit United Nations Standard Products and Services Code (UNSPSC ) Improving Patient Safety and Supply Chain Efficiency

Making Business Intelligence Easy. Whitepaper Measuring data quality for successful Master Data Management

In principle, SAP BW architecture can be divided into three layers:

Spend Analysis. CIPS Northumbria Branch. 21 st October Duncan Olive

Featuring a White Paper from Priya Kamani, M.D. of Neoforma, Inc. June Sponsored by. Thought Leadership From MRI. Montgomery Research

Competitive Advantage through Strategic Global Sourcing

Practical meta data solutions for the large data warehouse

<Insert Picture Here> Oracle Retail Data Model Overview

Rational Reporting. Module 3: IBM Rational Insight and IBM Cognos Data Manager

Implementing Oracle BI Applications during an ERP Upgrade

Master Data Management The Nationwide Experience. Lance Dacre Director, Data Governance

SQL Server 2012 Business Intelligence Boot Camp

OBIEE 11g Pre-Built Dashboards from Oracle Courtesy: Oracle OBIEE 11g Deployment on Vision Demo Data FINANCIALS

Enhancing Sales and Operations Planning with Forecasting Analytics and Business Intelligence WHITE PAPER

Integrating IBM Cognos TM1 with Oracle General Ledger

NATIONAL E-PROCUREMENT PROJECT GUIDANCE NOTES

IBM Cognos TM1. Enterprise planning, budgeting and analysis. Highlights. IBM Software Data Sheet

Reaping the rewards of your serviceoriented architecture infrastructure

Data warehouse and Business Intelligence Collateral

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 29-1

Foundations of Business Intelligence: Databases and Information Management

Basware Invoice Automation Demonstration

Sizing Logical Data in a Data Warehouse A Consistent and Auditable Approach

MDM and Data Warehousing Complement Each Other

HYPERION MASTER DATA MANAGEMENT SOLUTIONS FOR IT

Implementing Oracle BI Applications during an ERP Upgrade

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

RedPrairie for Convenience Retail. Providing Consistency and Visibility at Least Cost

A Model-based Software Architecture for XML Data and Metadata Integration in Data Warehouse Systems

RedPrairie for Food Service. Providing Consistency and Visibility at Least Cost

Foundations of Business Intelligence: Databases and Information Management

BENEFITS OF AUTOMATING DATA WAREHOUSING

IMPLEMENTATION OF DATA WAREHOUSE SAP BW IN THE PRODUCTION COMPANY. Maria Kowal, Galina Setlak

Making Spend Management Easy for Plexus

IBM Cognos 8 Business Intelligence Analysis Discover the factors driving business performance

IBM Cognos 8 Controller Financial consolidation, reporting and analytics drive performance and compliance

Cost-effective supply chains: Optimizing product development through integrated design and sourcing

BUSINESS INTELLIGENCE

Cognos Analytic Applications Sales Analysis

University of Gaziantep, Department of Business Administration

The Kroger Company: Transforming the Product Data Management Landscape

Enterprise Systems: From Supply Chains to ERP to CRM

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success

LEARNING SOLUTIONS website milner.com/learning phone

IBM Cognos TM1 Enterprise Planning, Budgeting and Analytics

TopBraid Insight for Life Sciences

Vendor briefing Business Intelligence and Analytics Platforms Gartner 15 capabilities

Introduction to Management Information Systems

Top 3 steps to a successful ERP implementation for M&A in manufacturing - a project management point of view

Lection 3-4 WAREHOUSING

Integration points: Project management and accounting and other Microsoft Dynamics AX 2012 modules

Data Ownership and Enterprise Data Management: Implementing a Data Management Strategy (Part 3)

Delivering information-driven excellence

ORACLE SUPPLIER MANAGEMENT: SUPPLIER HUB AND SUPPLIER LIFECYCLE MANAGEMENT

The ROI Engine of E-Procurement

Q: Which versions of Oracle BI does Primavera P6 Analytics support? A: Oracle Business Intelligence 10g

MicroStrategy Course Catalog

BI4Dynamics provides rich business intelligence capabilities to companies of all sizes and industries. From the first day on you can analyse your

IAF Business Intelligence Solutions Make the Most of Your Business Intelligence. White Paper November 2002

IBM Software A Journey to Adaptive MDM

Business Analytics Evaluation Guide. Integrated Financial Planning and Forecasting Performance Blueprint Powered by IBM Cognos Express

When to consider OLAP?

Authoring Within a Content Management System. The Content Management Story

Turkish Journal of Engineering, Science and Technology

Master Data Management and Data Warehousing. Zahra Mansoori

Presented by: Jose Chinchilla, MCITP

Chapter 5. B2B E-Commerce: Selling and Buying in Private E-Markets

SAP Master Data Management

3/17/2009. Knowledge Management BIKM eclassifier Integrated BIKM Tools

B2B Strategies: from EDI to e-commerce. Objectives. In this chapter, you will learn about:

Infor Lawson Healthcare Supply Chain Analytics Release Notes. Version Published May 2013

The Data Warehouse ETL Toolkit

ElegantJ BI. White Paper. Considering the Alternatives Business Intelligence Solutions vs. Spreadsheets

WebSphere Commerce V7 Management Center

An Oracle White Paper April, Spend Management Best Practices: A Call for Data Management Accelerators

ETL-EXTRACT, TRANSFORM & LOAD TESTING

How To Use Spera S/4Hana Cloud Project Services Edition

INFORMATION TECHNOLOGY STANDARD

Enhancing Sales and Operations Planning with Forecasting Analytics and Business Intelligence WHITE PAPER

Transcription:

Paper No. Satyam/DW&BI/00 6 A Satyam White Paper Leveraging the power of UNSPSC for Business Intelligence Author: Anantha Ramakrishnan Ananth_Ark@onsite.satyam.com

Introduction The Universal Standard Products and Services Classification (UNSPSC) was created for coding of products and services unambiguously according to industry-agreed naming standards for streamlining commerce among companies, particularly over internet. The development of new technological capabilities such as XML and search engines help to populate product identification tags to catalogs, directories and enterprise applications that are operated by manufacturers, purchasing groups, customers, distributors and other channel partners. The Meta data standards for product information benefit all players in a supply chain. This white paper attempts to analyze the usefulness of UNSPSC code for standardizing Product information and ensuring data quality in a data warehousing environment What is UNSPSC? UNSPSC is an open, global electronic commerce standard that provides logical framework for classifying goods and services. The hierarchical structure of UNSPSC allows drilling down and rolling up for tactical and strategic spend analysis. UNSPSC is designed to serve three primary functions: Spend Analysis Uniform view of all spend across the enterprise Resource Discovery Identification of relevant suppliers for specific product or service Product Awareness Allows listing of similar products and services under a single category UNSPSC began as a merger between United Nation s Common Coding System (UNCCS) and Dun & Bradstreet s Standard Product and Service Codes (SPSC) in 1999. As of Nov 02 D&B and Electronic Code Management Association (ECCMA) merged. UNSPSC is available free for use to the public with no copyright restrictions. The Uniform Code Council (UCC) is the code manager for UNSPSC, responsible for ensuring compliance with the principles of the UNSPSC as well as the integrity of the code schema. Page 2 of 8

UNSPSC Taxonomy UNSPSC is a hierarchical classification having four levels. Each level contains a two character numerical value and a description. UNSPSC can be further extended by adding ninth and tenth digit after commodity to indicate the business relationship to the supplier. Current version 6_0501 contains 18000 commodity level codes. Segment 44 - Office Equipment and Accessories and Supplies Family 12 - Office supplies Class 17 - Writing instruments Commodity 01 Roller ball pens 02 Pen or pencil sets 03 Fountain pens 04 Ball point pens 05 Mechanical pencils 06 Wooden pencils 07 Colored pencils 08 Markers 09 Crayons 10 Writing chalk or accessories 11 Felt pen 12 Marker refills 13 Pen nibs 14 Pencil or pen grips 15 Combination pen or pencil 16 Highlighters 17 Combination pen and highlighter 18 Secured pen sets In the this example UNSPSC code 44121704 identifies the category Ball point pens Page 3 of 8

Basic Design Guidelines In situations where there are many uses or many sources for the same commodity, the classification reflects the dominant use of the commodity within the global marketplace. Dominant use varies over time and by country or region. Every effort shall be made to reflect the international use of a commodity, as opposed to regional or industry-specific applications Rule 1: A commodity will be classified with others that serve or support a common function, purpose or task. These segments, families and classes of commodities are normally found in the same district, store or aisle. Rule 2: A commodity will be classified with others made by a similar process and often manufactured by the same company or a similar company. Rule 3: If the first two rules do not apply, then the material from which the commodity is made will help to determine its classification. Naming Conventions Rule 1: All hierarchies are explicit; there are no implied hierarchies. Commodity titles are not to be used to imply a hierarchy Commas are not to be used in commodity titles (the term tennis balls is an appropriate commodity title but not balls, tennis ) The order within any given group is not significant; there are no implied hierarchies Rule 2: Commodity titles are unique. In commodity titles, the conjunction and implies both components of a title must be present. Rule 3: At the class, Family and Segment level the conjunction and should be used. The ampersand (&) symbol should not be used. In the Segment, all keywords have leading capitals. In the Family, Class and Commodity only the first word is capitalized. Benefits Helps to get comprehensive insight into spend landscape and strategic planning Enables supplier rationalization and demand aggregation Integrates entire procurement flow from RFP s to ordering, to accounts payable, to general ledger. Allows Drill Down and Roll up analysis of purchase transactions Aligns supply chain and increases value chain efficiency Supports multi-language uses Increases e-procurement efficiency and effectiveness Supports analysis with Business Intelligence tools Why UNSPSC for Data Warehousing? In a data warehousing environment, where data is to be extracted from multiple transactional systems like ERP, Purchase, Accounts Payable, Legacy systems and multiple business entities across the globe, there is a need for a common standard Dimension to perform analysis on an Enterprise wide basis. Data warehousing team has to make tremendous effort to build a Product Page 4 of 8

related Dimensions with hierarchies and cross references. UNSPSC relieves the pain of building and maintaining a Product Dimension by providing data in a consistent schema. Classification tools are available to automatically apply UNSPSC codes initially and for the new codes whenever it enters data warehouse. Its metadata structure is perfectly suitable for analysis by OLAP tools. UNSPSC is available in multi-languages like English, French, German, Italian, Japanese and Spanish. Russian, German and Korean language translations will also be available in future. Having a unique code allows unambiguous translation of the commodity s description into any language and provides enterprise view for the data. UNSPSC Vs Internal Material Codes UNSPSC s Hierarchical taxonomy allows Roll up and Drill down analysis and the user can get into the Level of Specificity that best suits to his business. Internal Material codes will have limited or non-existent hierarchy. UNSPSC helps to perform tactical and strategic sourcing at many different levels and helps to integrate the business and eliminate undisciplined buying activities where as Internal codes can help only to take operational decisions. UNSPSC adds an enterprise-wide view to the spend analysis. This helps better Supplier management and to negotiate volume based discounts. This is supported in a limited way by internal codes. UNSPSC schema is available in multilanguages, which helps implementation across the globe. Internal codes will not support multi-language uses. UNSPSC increases e-procurement efficiency by inserting codes in various electronic trade documents and media such as product catalogs, web sites and computer applications throughout an extended supply chain. Internal codes will extend minimum support to e- Procurement. UNSPSC enables buyers to identify suppliers for a particular category; where as limited support is available with internal codes. UNSPSC requires upfront effort to apply codes but it can be automated with a tool. Comparatively the effort will be more to apply internal codes. Implementation UNSPSC can be implemented in a data warehouse with minimal/no impact to operational systems. The process of classification has to be integrated with ETL process in the staging area. An indicative process for implementing UNSPSC in a Data warehouse with an automatic classification tool is described below. Page 5 of 8

Data Sources ERP Legacy AP PO Check for transactions without UNSPSC Prepare and Send a file with Product description / attributes and Dimension ID Staging Area Log error for unclassified and items < confidence level for manual classification Receive UNSPSC codes and update records > prescribed confidence level Data Warehouse Feed Product information into classification tool Classification Engine Classify and apply UNSPSC code along with confidence level Prepare and Send UNSPSC codes, with Dimension ID Page 6 of 8

Case Study: A Study for the Adoption of UNSPSC Our client is a Fortune 100 company and world's leading manufacturer of construction and mining equipment, diesel and natural gas engines and industrial gas turbines. The company is a technology leader in construction, transportation, mining, forestry, energy, logistics, electronics, financing and electric power generation. The client is in the process of building a Data warehouse for Global Purchasing Division to have an enterprise-wide view of spend analysis. The main objective is to perform strategic sourcing for Cost Reduction and better Supplier management. As a part of Six Sigma initiative for Data Quality in the data warehouse, the client wanted to evaluate the adaptability of UNSPSC categorization for their commodities. Satyam carried out a pilot project to help them in making the decision. Project Scope The scope for the project includes: To collect sample Item data from different category managers for direct materials To categorize them using UNSPSC To develop a Spend cube with a cross walk table To publish the Cube in the intranet site for evaluation by users To evaluate the suitability of UNSPSC. The Process Following representative data for categorization was collected from different Material category teams like Rough Casting, Machined Casting, CAB Assembly, Steel and others. Part Number and Description Material code and Description Family codes and Description Geometric codes and Description Buying and Receiving Facility Supplier Annual Spend Estimated Annual Usage Excel Sheets Access DB Cognos Cube Bus Info Portal UNSPSC data The data from different Material Category Teams were collected in excel spreadsheets and consolidated into Access tables. UNSPSC codes were assigned to each record. An UNSPSC dimension table was created with the UNSPSC category data V6.0501 downloaded from www.unspsc.com. A spend cube was built with UNSPSC, Material, Family, Data Source and Facility dimensions. The cube was published in the Business Information portal. For indirect materials, the client has decided to go in with UNSPSC and for direct materials the evaluation is under progress. Page 7 of 8

Conclusion Adoption of UNSPSC has clear advantage especially in a Data warehousing environment in standardizing the item data and ensuring Data Quality. Its hierarchical structure helps to model the data in a multi-dimensional format and to get a global view of the Spend. In some cases even at the commodity level, the code is not granular enough to handle detailed analysis. This problem will get resolved when more and more companies adopt UNSPSC and contribute to industry specific commodity levels. References 1. Put UNSPSC to work for you D&B 2. Using the UNSPSC Granada research 3. Adopting UNSPSC Zycus About the Author Anantha Ramakrishnan is a Senior Project Manager with Satyam Data Warehousing and Business Intelligence Group. He is a certified Project Management Professional (PMP). Ananth handles project management, presales and competency building activities for the group in USA. He has over 15 years of experience in Application Development, ERP implementation and Business Intelligence. Prior to Satyam, Ananth was a Senior Executive - Business Planning & IT with TVS Electronics. Ananth can be contacted at ananth_ark@onsite.satyam.com Page 8 of 8