ABCS Of Spend Analysis Case Study - Procurement Organizations - Management Assignment Help

Assignment Task

CASE STUDY : ABCS OF SPEND ANALYSIS

Procurement organizations should use spend analysis to leverage buying power, reduce costs, provide better management and oversight of suppliers, and to develop an informed procurement strategy. Spend analysis should include the identification, automated collection, cleansing, grouping, categorization, and analysis of all spend data for the goods and services purchased for the organization. Spend Analysis is the process of collecting, cleansing, classifying and analyzing expenditure data from all sources within the organization (i.e. purchasing card, eProcurement systems, etc.). The process analyzes the current, past and forecasted expenditures to allow visibility of data by supplier, by commodity or service, and by department within the organization. Spend analysis can be used to make future management decisions by providing answers to such questions as: what was bought; when was it bought; where was it purchased; how many suppliers were used and how much was spent with each; how much was paid forthe item.
Procurement should work to identify all spend data, internal and external, for the organization. Once spend data sources are identified, the data should be collected and automated. Gathering spend data begins with: n Creation and review of a spend data system map: Begin by understanding which systems contain data required to create a complete spend record. As noted above, this map should include both internal systems (e.g. ERP, e-Procurement, Accounts Payable) and external systems (e.g. P-card). n Performance of a spend data quality assessment: Examine the completeness of spend data, identify additional data elements that might be required to create a detailed spend record and assess the accuracy and depth of existing data classifications n Assessment of classification schema: Assess the number, type, and usefulness of classification schemes currently used across the organization. Determine if existing schemes can be consolidated or if underused schemes can be replaced. Also assess whether existing schemes can be mapped to an industry standard scheme to enable analysis of organizational spend n Review of data management processes: Understand existing procedures and systems used for extracting, cleansing, and classifying spend data. Note which functions require spend data and which resources actually perform the spend data management activities n Review of data storage, reporting, and analysis capabilities: Examine how your organization stores and analyzes spend data. Determine requirements for spend data access, types of reports, and frequency of such requests. Ensure data is accessible and can be efficiently analyzed and drilled into to meet the needs of decision makers.
Once data is collected, it should be cleansed to remove any duplicates or errors, grouped, and categorized. These processes are necessary to insure accurate organization and correlation of spend data and to enable actionable analyses. n Grouping and categorizing spend data should be done by adopting an internal taxonomy or by adopting an industry-standard classification scheme. n Higher-level classification of spend at the category or supplier level is the first step in grouping and categorizing spend data. Examples include: categorizing goods and services that are being acquired; determining how many suppliers are being used for specific categories; and how much the organization is spending on specific categories, in total and with each supplier. n Item-level detail of spend data enables a precise view of spending with each supplier and for each commodity on an organizational, departmental, project, and buyer basis. n Additional enhancements should also be applied to the collected spend data. These include but are not limited to: contract terms, minority or women owned business status, alternative parts data, industry pricing indexes, average selling prices, supplier financial risk scores, performance information, lead times, inflation. Excellence in spend data management requires that spend data extraction, classification, enhancement, and analysis activities be supported by automation and services that can streamline existing procedures and make spending analysis a repeatable process. n Creating a repeatable process may require directly licensing automated data cleansing and classification software or engaging consultants or other service providers that leverage such solutions to deliver a turnkey spend data management service. n Procurement should seek to incorporate the knowledge of internal sourcing and commodity experts into the automated system through the use of software engine rules and self-learning capabilities. n Procurement should seek to generate automated monthly reports of the most current spend data to ensure that the most current spend position of the organization is being considered in new procurements.

Questions:
1. Discuss the spend analysis process
2. Why is it crucial to conduct spend analysis in procurement
3. What skills and knoledge are needed to perform this analysis? Can a software perform this? Is that enough?
4. What departments can get involved in this procedure? How?
5. Provide a case summary

This Management Assignment has been solved by our Management Experts at My Uni Paper. Our Assignment Writing Experts are efficient to provide a fresh solution to this question. We are serving more than 10000+ Students in Australia, UK & US by helping them to score HD in their academics. Our Experts are well trained to follow all marking rubrics & referencing style.
Be it a used or new solution, the quality of the work submitted by our assignment experts remains unhampered. You may continue to expect the same or even better quality with the used and new assignment solution files respectively. There’s one thing to be noticed that you could choose one between the two and acquire an HD either way. You could choose a new assignment solution file to get yourself an exclusive, plagiarism (with free Turnitin file), expert quality assignment or order an old solution file that was considered worthy of the highest distinction.