With the holiday season upon us, many of us are concerned about making the numbers for the year. Most midmarket companies, whether they are public corporations or privately held enterprises, have revenue targets for each reporting period, usually by fiscal month, quarter and year. These revenue targets are obviously an important part of the financial plan and operational performance for the company.
With manufacturing enterprises, a variety of unforeseen events can occur on a daily basis related to customer demand and the supply of the manufactured goods, as well as the supply of required purchased components from vendors. Even with the best of plans going into a reporting period, actions need to be taken to adjust for these unplanned changes in demand and supply in order to meet the revenue target.
I read the recent report titled “Performance Management in the Midmarket“, by David Hatch and Max Gladstone, from the Aberdeen Group, dated November 2009. The thing that struck me is that based on data collected for the report, the top pressure related to performance management for both midmarket and large enterprises is “lag times and the inaccuracy of operational business decisions”. What is stated is that operational performance is negatively impacted when “the lag time for determining operation performance is greater than the decision window (the opportunity to affect performance based on taking or changing an action)”.
The report goes on to identify the major stumbling block is the identification of source data: “During a fiscal period review process, or within an operational performance review meeting, senior executives often ask for metrics and analyses that send their business managers and teams scurrying to find the data that supports the desired answer”. From my point of view, the problem is that data is not readily available to the decision makers. In addition, reports and analytics need to be available against the data for review and to enable effective operational responses. The data and reporting cannot just be looking at the past, but the analytics need to be forward looking to provide information to decision makers so that actions can be taken to meet the performance metrics.
The operational requirement to meet revenue goals for reporting periods is a common concern among midmarket enterprises and could also be viewed as a fairly standard process across entities. Also, given that the absence of source data and the required reporting and analytics is also common, there exists a real opportunity for a standard solution. Midmarket companies can increase their effectiveness at meeting revenue goals by implementing an out of the box solution. The best solution will have the following key attributes:
- Standard integrations with various MRP/ERP systems
- “Cloud computing” enabled – midmarket companies can subscribe to the software rather than having to stand up and manage the infrastructure and software
- Simple to use with little or no training required
- Easy to tailor and configure if needed
Of course, many other operational issues could be targeted other than revenue management and with today’s technology, many solutions that only large enterprises have the resources to invest in can be made available to the midmarket. What do you think?
TrackBack
• Digg This
• Add to del.icio.us
Tags: Collaboration, demand response, On-demand (SaaS), Operations performance, Performance management, Supply chain flexibility
Posted in On-demand (SaaS), Supply chain collaboration, Supply chain risk management
You can leave a response, or trackback from your own site.



Leave a Reply