Know Your Customers – improving your Corporate Social Responsibility

It’s not only what you achieve, it’s also how you behave. Some small organizations can still behave somewhat undetected way to achieve successful results. For medium and large organizations that is not what governments and customers expect from them. Transparency on Corporate Social Responsibility (CSR) are key in this and therefore a significant number of countries agreed on these in, amongst others, the OECD Guidelines for Multinational Enterprises.

This week, the latest results have been presented in The Netherlands on Transparency in the Banking area. And although some institutions score really good, others really need to take it at least one mile further to get a good or even fair score.

We agree with the recommendations of the report that compliance regulations can help/force in being more transparent, e.g., the SEC in the USA is enforcing more detailed information than their Dutch peer, the AFM. And also for Basel II the financial institutions need to know who they are dealing with in the end. The phrase – in the end – makes it even more difficult for the CSR, because not only the ultimate legal entity is now needed, but additional details per region and per sector are required. Continue reading ‘Know Your Customers – improving your Corporate Social Responsibility’

Do you really know what your customers are actually buying?

 

We all would like to answer that question with a straightforward “Yes”. Yet the reality is that more than half of us must either be a liar, or not know the complete truth of their own data.

The new white paper “Do you really know what your customers are actually buying? – Data Quality and Business Intelligence” asks you that very same question-and then provides you with the means to answer with a full and truthfull “Yes”. The paper covers the problems managers/organizations might run into when working with Management Reports. The integration of many different data sources into an Enterprise Datawarehouse can cause problems that easily go unnoticed. Your data seem to be merged successfully with the ETL toolset combining different definitions for each dimension and relevant hierarchy. In other words: you think you know what you’re selling to whom, but in fact you’re dealing with a lot of undetected duplicates that mess up your Management Reports. Incorporating a Data Quality Firewall within your Datawarehouse will help you solve these problems – you can rely on your reports again.

The paper shows us the Before and After Data Quality Firewall situation. The After Data Quality Firewall situation leads to Management Reports that give true insight in the sales of an organization. The answer is the creation of the Golden Record. Being able to trust their data, your co-workers are happy and productive . But more importantly, based on your Golden Record you can now make adequate decisions for your business.

How-to create the Golden Record

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The term Golden Record is closely related to Customer Data Integration or MDM for Customer data. It refers to the “single truth” which has been created or calculated from all those duplicate customer records from different systems. This post is not about finding or tagging all those duplicate records. There all kinds of ways to find them using advanced statistical methods, fuzzy matching etc.

But what do you once you have found the duplicates. How do you create the best possible customer data out of all gathered elements? Continue reading ‘How-to create the Golden Record’