Presentation is loading. Please wait.

Presentation is loading. Please wait.

1 Copyright © 2013 Tech Mahindra. All rights reserved. 1 BPaaS – Spend Analysis Competency Overview.

Similar presentations


Presentation on theme: "1 Copyright © 2013 Tech Mahindra. All rights reserved. 1 BPaaS – Spend Analysis Competency Overview."— Presentation transcript:

1 1 Copyright © 2013 Tech Mahindra. All rights reserved. 1 BPaaS – Spend Analysis Competency Overview

2 2 Copyright © 2013 Tech Mahindra. All rights reserved.

3 3 Statistics about data in manufacturing Industry *http://www.ventanaresearch.com/*http://www.ventanaresearch.com/ and E&Y reports Motivation for implementing Data Categorization Success factors to implement Data Categorization Important challenges in Data management Trends and VOC that are shaping up the market for Master Data Rationalization (MDR)

4 4 Copyright © 2013 Tech Mahindra. All rights reserved. Organization scenario Duplicate item data instances M&A entity Migrating to ERP from Legacy Consolidating to a single ERP application Driving down CoGS at design stage Expedite transition and ensure compatibility of consolidated data Achieve merger synergies by asset and inventory consolidation Drive part reuse and develop synch between production and sourcing by aiding ‘critical information’ discovery CONSOLIDATING MASTER DATA attempt tomove towardscause of concern Business Drivers for Master Data Rationalization

5 5 Copyright © 2013 Tech Mahindra. All rights reserved. Data Analysis Enhance Classify Cleanse Spend Data Mgmt pCard Data AP DataPO Data Deliver Savings Improve Processes Manage Maverick Spend Manage Supplier Relationship Manage Risk Recover Over- payments Procure Co- operatively Reduce Disparity Source More Locally Ensure Legal Compliance Benchmark Relative Position Quantify Savings Business Benefits  An in-depth review of an organization’s expenditure for a specific period of time using information on S2P activities & contributors  Strategic tool for decisions across the organization i.e...Sourcing, purchasing, Payment, Supplier performance, Compliance, Return & Recovery MDR – A Business Case

6 6 Copyright © 2013 Tech Mahindra. All rights reserved. Scope of Discussions Executive Summary Current issuesObjectives Service details TaxonomyCleansing Data Enrichment Multi Language Capability Duplicate Materials Non Standard descriptions Materials with minimum description information To cleanse the material master to eliminate duplicates, obtain a single cleansed, standardized, enriched material master per item Business benefit will be to facilitate better searches for items, ordering correct material, reducing maverick spend and ensure complete information of an item in a PO Providing Industry Standard Taxonomy Prepare Mapping Sheets Cleansing and standardizing the material master Assigning attributes Cross referencing with internal classification Duplicates reporting Enhance information from parts repository, supplier catalogs and web crawl Providing Interchangeabl e Item Identification report OEM and OPM Data Enrichment Translation to other languages Creation of ERP MDM “Load Ready” file Scope of WorkData Management –Materials (OEM and OPM Parts) Key Statistics Catalog and Stock items categorized-44,000+ item Key commodities include: Tools & Maintenance (MRO), Process Chemicals, Oils & Lubricants, Site Services, Machinery Maintenance, Industrial Supplies, Office Supplies, Packaging

7 7 Copyright © 2013 Tech Mahindra. All rights reserved.

8 8 Tech Mahindra Solution Approach Leverage TechM’s strong Manufacturing domain expertise to build the taxonomy and modifier attributes for the key categories. Use TechM knowledge base and competency to develop business rules for data cleansing in a timely and optimal way. Leverage Tech Mahindra’s strong expertise in Extraction and Automated Cleansing tools Scalable model to include further key nouns in future from other legacy systems Prepare the taxonomy and Mapping rules Stage 3 Profiling of the data input files Stage 2 Cleansing of Data Stage 4 Enrichment of Data using Additional attributes Stage 5 Mapping into ERP MDM “Load Ready” files Stage 1 TechM Solution Stages

9 9 Copyright © 2013 Tech Mahindra. All rights reserved. ERP/Legacy QA Workbench Enrichment Specification Template Satyam content dictionary Standards Knowledge Base Supplier repository Web Referencing Code Validation Classification Model Spend Classification Tool -Data Work bench Data Warehouse Extraction Tool Layer (ETL) Cleanse & Classify Data Profiling Repository Output CSV File Spend Visibility Solution Solution Architecture Solution leverages existing infrastructure and best in class features Can be automated classification tool or manual classification

10 10 Copyright © 2013 Tech Mahindra. All rights reserved. Analysis of the Sample Data MMS #Description PIN RELAY SOCKET FAIRMONT SOCKET EMD, SOCKET FOR STEP LIGHT, ASSY HOSE SOCKET, 3/8 FEMALE PIPE THREAD, 3/8 BODY SIZE, SAFETY LOCK, TUTHILL# SET, SOCKET 3/8 DR IMPACT HEX HEAD, 2 LENGTH. 7 PC SET INCLUDES, 3/16, 7/32, 1/4, 5/16, 3/8, 7/16, 1/2, POWER TOOL RATED ALLEN HEX, BIT, GREY PNEUMATIC# GP1297H, DXP# GP1297H SOCKET, 1 7/8 SOCKET 8 LONG, GUYNAN MACHINE AND STEEL, # , CUSTOM MADE SOCKET FOR THE, QUICK AND SAFE REMOVAL OF, GUAGE RODS ESPECIALLY IN, DERAILMENT SITUATIONS SOCKET, 1 SQ DRIVE 1 1/4 DOUBLE SQ, POWER DRIVE IMPACT, BLACK, ANSI B107.2, SNAP-ON IM SOCKET, 1/2 DRIVE. IMPACT GREY, 82012D, 3/8 DEEP WELL SOCKET. THIN, WALL, DUO-SOCKET. 6 PT. NO, SUBSTITUTIONS, DXP# 82012D SOCKET, 1/2 DRIVE. IMPACT GREY, 82016D, 1/2 DEEP WELL SOCKET. THIN, WALL, DUO-SOCKET. 6 PT. NO, SUBSTITUTIONS, DXP# 82016D SOCKET, 1/2IN DRIVE 10 5/16IN LENGTH, TBGRE2910F, IMPACT HEX SOCKET SOCKET, 3/8 DR IMPACT HEX HEAD, 3/16 X 2 LENGTH. POWER TOOL, RATED ALLEN HEX BIT., GREY PNEUMATIC# GP 1906F, DXP# GP1906F SOCKET, 3/8 DR, 22 MM, IMPACT GREY PNEUMATIC, 1122M, THIN WALL, DUO SOCKET,, 12 PT METRIC, DXP# GP1122M SOCKET, 3/8 DR, 8 MM, IMPACT GREY PNEUMATIC, 1108M, THIN WALL, DUO SOCKET,, 12 PT METRIC, DXP# GP1108M SOCKET, 3/8 DRIVE 5/16 IN HEX PROTO, J XL, 6-3/32 IN LENGTH XTRA LONG,, ALLEN. 16XL HAND USE ONLY., DXP# J XL SOCKET, 3/8 IMPACT HEX HEAD, 3/8 IN 2-23/32 IN LENGTH. POWER, TOOL RATED ALLEN HEX BIT, PROTO# J7290 3/8, DXP# J7290 3/ SOCKET, 3/8 SQ DRIVE 3/4 HEX, POWER DRIVE IMPACT, BLACK, SWIVEL, ANSI B107.2, SNAP-ON IPF24C SOCKET, 3/8 SQ DRIVE, HAND ONLY. CROWFOOT 3/4IN WRENCH, PROTO# J3924CF, DXP# J4924CF, SNAP ON# FCO24A Socket Data from the sample received Key Findings Enriched Data NounSocket ModifierImpact Attribute 1Drive Attribute 2Head Size Attribute 3Standard /Deep / Universal / Deep Universal Attribute 4Manufacturer Name Attribute 5Manufacturer Part No

11 11 Copyright © 2013 Tech Mahindra. All rights reserved. Cleansing and Classification – An Example Key noun: Plug; Modifier: 3 Pole; Raw Data, # of items Initial QA for Column integrity / Row integrity and data types Classification Tool for finding out key nouns classification Cleansing Duplicity removal Data Parsing Additional duplicates removal Population of available attributes Cleansing Duplicity removal Data Parsing Additional duplicates removal Population of available attributes PLUG, 3 POLE Rating: __ Amps IP: ____________ Straight or Angled More attributes ShortDesc: PLUG, 3 POLE-MALE EMD, FOR COOLING FAN, GENERATOR/DUST BIN BLOWER Existing data Cleansed and classified Data Enrichment Additional attributes identification Population of the attributes (Satyam knowledgebase, web referencing Data Enrichment Additional attributes identification Population of the attributes (Satyam knowledgebase, web referencing PLUG, 3 POLE Rating: __ Amps IP: ____________ Straight or Angled Manufacturer Name MFG Part # More attributes Enriched Data Completion and Data Accuracy  50% Completion and Data Accuracy  75% # of Items  443 Completion and Data Accuracy  95 % # of attributes = 2 # of attributes = 7 Language translation DW Ready Load Files Completion and Data Accuracy  90% PLUG, 3 POLE-MALE EMD, FOR COOLING FAN, GENERATOR/DUST BIN BLOWER

12 12 Copyright © 2013 Tech Mahindra. All rights reserved.

13 13 Copyright © 2013 Tech Mahindra. All rights reserved. CapabilitiesAutomated ApproachManual Approach Ability to handle poor quality data HighMedium Ability to handle multilingual item data HighMedium Real Time Classification YesNo Scalability to large volumes HighMedium Ability to assist in standards adoption HighMedium Rework Required to change or upgrade schema LowVery High Combination of Domain and Language expertise YesNo Scalability to large volumes HighLow MDR Solution Options An Outside in View

14 14 Copyright © 2013 Tech Mahindra. All rights reserved. MDR Solution Option- I Fully Automated Solution The solution considers UPRR will provide Master Data from multiple source systems and either generates the flat file/ data in required format and pushes to a staging area. Cloud Based Automated Classification tool would pick up the flat file of data using scheduler and loads into the Classification engine for cleansing/ classifying (UNSPSC) and enrichment. Output accuracy – % Speed of Processing – records per hr Needs SME intervention for taxonomy definition, cleansing rules, training the classification engine The project is expected to go live (operational) in 8-12 weeks from Start of Assessment phase Phases/ Steps of Project Duration Weeks Remarks 1Data Assessment and Taxonomy Definition 4-6 Feasibility Study and Development of Taxonomy, (Key Noun, Modifier and attributes, Classification Standards adoption) 2Automated Classification Solution One Year Subscription For Classification Software + Config + Training Total8-12 weeks

15 15 Copyright © 2013 Tech Mahindra. All rights reserved. The solution considers UPRR will provide Master Data from multiple source systems and either generates the flat file/ data in required format and pushes to a staging area. Manual Classification – Recommendation of UNSPSC taxonomy adoption. Output accuracy – % Needs SME intervention for taxonomy definition, cleansing rules, training the classification engine The project is expected to go live (operational) in weeks from Start of Assessment phase Phases/ Steps of Project Duration Weeks Remarks 1Data Assessment and Taxonomy Definition 4-6 Feasibility Study and Development of Taxonomy, (Key Noun, Modifier and attributes, Classification Standards adoption) 2Automated Classification Solution Manual Classification of Master Data Total Cost of Ownership16-22 MDR Solution Option- II Manual Classification Solution

16 16 Copyright © 2013 Tech Mahindra. All rights reserved.

17 17 Copyright © 2013 Tech Mahindra. All rights reserved. Tech Mahindra Spend Management Practice Overview  Largest practice with over 250 consultants providing Procurement & Sourcing solutions worldwide.  Over 5 Million person hours of experience in delivering spend management solutions.  Sourced over US$ 100+ Bn (direct & Indirect material), 200+ sourcing events & achieved significant savings to clients.  Executed over 100 projects ranging from Sourcing, Procurement Consulting, Product Implementation and Maintenance.  Alliance with Product vendors such as Ariba,SAP, Oracle, Aravo, Basware, Nextenders, Symfact, Endeca, Zycus etc. Vision Providing end to end purchasing solutions that helps clients achieve cost reductions, streamline Sourcing & Procurement process and reduce sourcing cycle time. Service Offerings Spend AnalysisStrategic Sourcing Sourcing Support & Auctions Procurement Operations SRM Package Evaluation SRM Product Implementation Supplier Collaboration Contract Management Practice Highlights eTendering Invoice Processing Low cost Country Sourcing Maintenance & Support Key Alliances

18 18 Copyright © 2013 Tech Mahindra. All rights reserved. Tech Mahindra Spend Management Practice Maturity Snapshot Product Focus Vertical Focus Services Focus Process Focus

19 19 Copyright © 2013 Tech Mahindra. All rights reserved. Marquee Spend Management Customers Keppel Tatlee Bank

20 20 Copyright © 2013 Tech Mahindra. All rights reserved.

21 21 Copyright © 2013 Tech Mahindra. All rights reserved.

22 22 Copyright © 2013 Tech Mahindra. All rights reserved. Benefits Business Imperatives Business Imperatives Satyam Challenges Satyam Challenges Design & Implement  A standardized Global Data Warehouse considering all transactional (P.O. and Invoice) & Master data requirements within the entire Client community  A Dashboard and drill-down toolset utilizing corporate standards  Global data warehouse and integrated with sales data  Reduce time spent on gathering data  Homogenize the data as per Client’s DSAP standards Commodity code using USNPSC, Vendor using DUNS, Geographic master data  Increased control and maintenance of data  Increase quality of global spend data  42 source systems ( 60% legacy )  Integration with data homogenizing tools like Zycus, D&B  ETL and Trillium for data cleansing and transformation  Aggressive target build times CASE STUDY – Spend Analytics

23 23 Copyright © 2013 Tech Mahindra. All rights reserved.  Initial phase required detailed analysis of the KPIs and building a dimensional model completing the fully life cycle involved in the data warehouse design.  Data was loaded from the text files to staging area on SQL server using SSIS The only transformation involved was of converting DB2 date time fields to SQL Server date time date type.  Fact tables were populated with help of stored procedures. Measured dimension and summary fact were created to display data in business scorecard view.  For detailed analysis of data; report views including pivot chart and pivot cubes were designed and published from OLAP Server data source to SharePoint server. Solution Details  Helps in performing health check of business activity through monitoring of critical KPIs.  Single version of truth available across the organization. Benefits Considering the pain areas the objective of the solution is to provide  High Scalability  Easy Availability  High TCO  Easy Maintainability Building Dashboard based solution is planned to address the business needs. Objective Infra Major is keen on examining a Business Activity Monitoring (BAM) and scorecard solutions which can help in a) Overcoming the problems associated with aligning operational activities & corporate strtgy b) Conquer the difficulties involved in identifying, monitoring and acting on urgent problems quickly and effectively Business Scenario Technology Stack Solution Architecture Database-SQL Server 2005 ETL- SQL Server Integration Services(SSAS) Dashboard: Business Scorecard Manager Portal : Share Point Portal Server 2003 Development Studio.- Business Intelligence development studio (BIDS ) Dashboard Solution for CAT, USA

24 24 Copyright © 2013 Tech Mahindra. All rights reserved. Thought Leader Consultant profile Process, Tools and Templates Right Alliances, Partners Rich experience Proven ability in building new competencies Successful transition of complex business applications from incumbent vendor Successfully delivered similar contract management solutions for larger enterprises Long list of customers in both Process evaluation, design and Technology consulting services Global player, trusted advisor with proven track record, who imparts in value creation for your Leadership buy in for our methodology and commitment to make it succeed for mutual benefit. Professionally qualified consultants, possess huge experience in Supply chain process and technology Certifications in Six sigma, Project Management, relevant products with ability to deal all levels of users Conscious of business dynamics, cost drivers; added value to both organizations and it’s key user community Innovated a set of tools (Process assessment, analysis, diagnosis tools) that results in faster execution Wealth of templates, Six Sigma, Lean management, Score cards Project and Change management templates that enable consistent and flawless results Leveraging MSat ‘s SRM Consulting practice for Product +Implementation experience, Satyam BPO for Business process Outsourcing expertise, MSat Bridge Consulting, and our leading product alliances Why Tech Mahindra? Our Differentiators

25 25 Copyright © 2013 Tech Mahindra. All rights reserved. Disclaimer Tech Mahindra Limited, herein referred to as TechM provide a wide array of presentations and reports, with the contributions of various professionals. These presentations and reports are for informational purposes and private circulation only and do not constitute an offer to buy or sell any securities mentioned therein. They do not purport to be a complete description of the markets conditions or developments referred to in the material. While utmost care has been taken in preparing the above, we claim no responsibility for their accuracy. We shall not be liable for any direct or indirect losses arising from the use thereof and the viewers are requested to use the information contained herein at their own risk. These presentations and reports should not be reproduced, re- circulated, published in any media, website or otherwise, in any form or manner, in part or as a whole, without the express consent in writing of TechM or its subsidiaries. Any unauthorized use, disclosure or public dissemination of information contained herein is prohibited. Unless specifically noted, TechM is not responsible for the content of these presentations and/or the opinions of the presenters. Individual situations and local practices and standards may vary, so viewers and others utilizing information contained within a presentation are free to adopt differing standards and approaches as they see fit. You may not repackage or sell the presentation. Products and names mentioned in materials or presentations are the property of their respective owners and the mention of them does not constitute an endorsement by TechM. Information contained in a presentation hosted or promoted by TechM is provided “as is” without warranty of any kind, either expressed or implied, including any warranty of merchantability or fitness for a particular purpose. TechM assumes no liability or responsibility for the contents of a presentation or the opinions expressed by the presenters. All expressions of opinion are subject to change without notice. Thank you Visit us at

26 26 Copyright © 2013 Tech Mahindra. All rights reserved.


Download ppt "1 Copyright © 2013 Tech Mahindra. All rights reserved. 1 BPaaS – Spend Analysis Competency Overview."

Similar presentations


Ads by Google