Accelerating Corporate Performance Management – Partnering Finance & Supply Chain

Corporate Performance Management (CPM) activities time-consuming and labour-intensive, usually because they rely on spreadsheets, old data and outdated manual processes. With financial controls growing increasingly tighter, CPM must be performed effectively. Recently there has been talk of needing Finance and Supply Chain integration to achieve increased corporate performance with them now being key business partners.

The Corporate Performance Management Summit will take place on January 27 & 28, in Miami. Over the two days, the summit will gather over 120+ Finance & Supply Chain professionals to discuss the challenges related to internal performance management and external decision-making. There will be 25+ industry expert keynote speakers, interactive workshops with industry pioneers and over 8 hours of networking opportunities to take advantage of.

Ever considered how to execute performance management initiatives? How to manage external factors in performance management? Or even the role of the CFO in corporate strategy? The summit will explore hot topics such as these, as well as explicitly covering how CFOs can drive strategic performance through acquisitions and harness data to drive decision making. A key component to this summit will also be face-to-face communication and the opportunity to learn from your peers in a truly open environment. ‘The creation of a thought-sharing and interactive setting was always a key aspect for me when creating this summit,’ said Aaron Fraser, International Events Director. ‘I wanted to cultivate a forum for cross-pollination of ideas and advice for those involved in corporate performance management”.

Read more at Accelerating Corporate Performance Management – Partnering Finance & Supply Chain

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Five Data Mining Techniques That Help Create Business Value

Five Data Mining Techniques That Help Create Business Value

The term data mining first appeared in the 1990s while before that, statisticians used the terms “Data Fishing” or “Data Dredging” to refer to analysing data without an a-priori hypothesis. The most important objective of any data mining process is to find useful information that is easily understood in large data sets. There are a few important classes of tasks that are involved with data mining:

  1. Anomaly or Outlier detection
  2. Association rule learning
  3. Clustering analysis
  4. Classification analysis
  5. Regression analysis

Data mining can help organisations and scientists to find and select the most important and relevant information. This information can be used to create models that can help make predictions how people or systems will behave so you can anticipate on it. The more data you have the better the models will become that you can create using the data mining techniques, resulting in more business value for your organisation.

If you have any opinion about how data mining help to create business value, post it in the comment box. And contact us for discussion.

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