vu hong khanh

Java class

vu hong khanh

I have a Java class today (22 Apr 2006). The lesson is conducted by Prof. Colin. His lectures are quite sleepy.

posted by vu hong khanh @ 11:55 PM 0 comments

Key Performence Indicators (KPI)

vu hong khanh

Key Performance Indicators (KPI), also known as Key Success Indicators (KSI) are financial or non-financial metrics used to reflect the critical success factors of an organization. These are used in Business Intelligence to assess the present state of business and to prescribe the course of action. The KPIs differ depending on the nature of the organization. They help an organization to measure progress towards their organizational goals.
Identifying indicators Performance indicators differ with organizational concerns and goals. A school might consider the graduation rate of its students as a Key Performance Indicator which might help the school understand its position in the educational community, whereas a business might consider the percentage of income from return customers as a potential KPI. But it is necessary for an organization to at least identify its KPIs. The key conditions before properly identifying KPIs are:
Having a pre-defined business process.
Having clear goals/performance requirements for the business process.
Having a quantitative/qualitative measurement of the results and comparison with set goals.
Investigating variances and tweaking processes or resources to achieve long-term goals.
Areas to be analyzed Some of the areas which top management analyses are:
Customer related numbers:
New Customers Acquired
Status of existing customers
Attrition of Customers
Turnover generated by segments of the Customers - these could be demographic filters.
Outstanding balances held by segments of customers and terms of payment - these could be demographic filters.
Collection of bad debts within Customer relationships.
Demographic analysis of Individuals (potential customers) applying to become customers, and the levels of approval, rejections and pending numbers.
Delinquency analysis of customers behind on payments.
Profitability of customers by demographic segments and segmentation of customers by profitability. This is more an inclusive list than an exclusive one. The above more or less describes what a bank would do, but could also refer to a Telephone company or similar service sector company. What is important is:
KPI-related data which is consistent and correct.
Timely availability of KPI related Data. Faster availability of data is beginning to become a concern for more and more organizations. It usually took a month or two to sort through the existing data and summarize meaningful information, which might not be the best idea if you want to hit Wall Street targets. Of late, several banks have tried to move from availability of data at shorter intervals and lesser delays. For example, in businesses which have higher operational/credit risk loading (that involve credit cards, wealth management), Citibank has moved onto a weekly availability of KPI related data or sometimes a daily analysis of numbers. This means that data should usually be available within 24 hours at most times, necessicitating automation and the use of IT systems to achieve this.
Categorization of indicators Key Performance Indicators define a set of values used to measure against. These raw sets of values fed to systems to summarize information against are called indicators. Indicators identifiable as possible candidates for KPIs can be summarized into the following sub-categories:
Quantitative indicators which can be presented as a number.
Practical indicators that interface with existing company processes.
Directional indicators specifying whether an organization is getting better or not.
Actionable indicators are sufficiently in an organization's control to effect change.

posted by vu hong khanh @ 4:18 PM 0 comments