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Make regulatory change less painful

Benjamin Franklin famously said there were only two certain things in life – death and taxes. For those that have been working in the financial services industry for the past...

Maximising customer satisfaction

We all know that selling to an existing customer is easier and more profitable than gaining a new one. However, many companies we speak to express frustration at the fact...

Help your salespeople sell

Your sales team is employed to sell your products and services so why are they spending so much time looking for customer information rather than selling to them? This is...

More to reducing debtor days

Debtor days (aka Day Sales Outstanding / DSO) are a major issue for businesses and can significantly impact on your cash flow. Ask most people how to reduce them and...

Introducing data diagnosis

Data Management is crucial to any business. Customer data determines your internal processes such as marketing, sales and billing. It also enables you to develop and target products and services...

Is your big data causing problems?

The rapid growth of digital information continues to throw up some major challenges for businesses both large and small. Companies nowadays pull in an enormous amount of customer information from...

BusinessOptix speaks the truth

It was great to see our software partner BusinessOptix recognised as a 2015 ‘Cool Vendor’ in Business Process Management, by Gartner. The accolade, as far as we’re concerned at Clarasys,...

360 degrees of customer clarity | Clarasys

Doing business with a large organisation can be extremely complicated, unless you have a structured approach to managing your data. I touched on the need for customer account hierarchies in...

Advice when creating a sales dashboard

Modern businesses have the ability to collect an overwhelming amount of data through their sales cycles. But unless you can make sense of the data you collect – and apply...

Understanding data quality

We’ve blogged before about data quality management and some of the key steps to achieving good quality data. Here we’ll discuss some of the finer points of understanding data quality....

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