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Database Cleaning

Most medium to large scale companies have a large amount of data that can be utilised to evaluate customer behaviour. The importance of analysing this data for your business is to narrow down on your target audience, patterns of engagement and ultimately how your customers like to spend their money. Once you know this impor

Datawash

Data Cleansing

Database Cleansing is a process of identifying and modifying corrupt or erroneous characters or items from a record or database and finding incorrect, imperfect, wrong or extraneous parts of the data and then replacing, modifying or deleting the unclean data. Wrong or unreliable data can lead to false conclusion and erro

Datawash

Why your company needs Datawash

All or most businesses have a marketing database that is used regularly for communication purposes between their business and its customers. A healthy database allows a business to turn leads into sales, promote an offer or sale, share an event or relevant news or simply keep its audience engaged. However, over time, situat

Datawash

Digital Marketing vs Snail Mail

Over the last five years technology has brought us to new levels of digital marketing. It wasn’t so long ago an email was enough to capture the attention of its audience, however this is no longer the case with the use of many online tools now saturating the digital market. Pressing send on an email and hoping it reaches

Datawash

Database cleaning Australia

What is database cleaning? And why can it get dirty? Data cleaning (Australia) is an important process that assists businesses save valuable time and increase efficiency. Data cleaning’s job is to detect and correct records that are inaccurate, missing data or corrupt. It also checks for duplications, modifies and stan

Data Cleansing: Why do you need to do it?

According to the research from TDWI most businesses spend more time filtering and cleaning their database rather than actually using it. Let’s be honest, who has time for continuous database maintenance when your time can be better utilised elsewhere? Let’s be honest, who has time for continuous database maintenance

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