Data profiling. It sounds complicated, but in simple terms, it’s like looking at information under a microscope to understand it completely and make useful discoveries. It’s a process that helps you use your data to its maximum potential. We understand your business is inundated with information from many sources, so profiling data can be a challenge. That’s where our ground-breaking data profiling solutions make all the difference. What’s more, they’re faster than other solutions available and require minimal training. Our solutions help you spot data problems and work out how to solve them. And they help you put your discoveries into practice to make your business more efficient and profitable, and your customers more satisfied.
Our data profiling software, tools and services analyse large volumes of information and generate reports. This helps you understand your data better and take action where necessary, to correct errors.
Spot links between different sets of data
Automatically spot thousands of different data quality problems
Build working models to better manage data
Make your operations more effective and profitable
Analyse all the data you hold across your business
Make customers happier by reducing data errors
Did you know over three quarters of businesses believe inaccurate data makes it difficult to deliver an excellent customer experience? Storing data sets separately also gets in the way of understanding customers completely. Our data profiling tools help you meet these challenges, and more.
Identify and correct mistakes, standardise and manage records, fill gaps and add to your own data to get the most out of the information you hold.
Make your data more trustworthy in a matter of minutes. Format data as it flows in from different sources for instant results.
Just over 18% of organisations say they have a complete view of their customers. We can help you create a fuller more precise picture, so you can make smarter business decisions.
The purpose of profiling is to examine data in detail to identify errors, from spelling and formatting problems to algorithm mistakes and standardisation issues. Profiling also spots relationships between data held in different data sets and helps businesses understand the information they collect more deeply.
Data profiling used to be carried out manually, simply by looking at data. These days, however, a variety of software and computer tools are used to profile data. This makes the process faster, easier and more comprehensive, particularly as the amount of data that needs to be processed is vast and is increasing all the time.
Data mining is a process generally used to discover patterns in a data set, which can then be used to make a business more efficient, profitable, reduce costs and solve problems. Data profiling examines data to assess its quality and other useful features.
The 6 dimensions of data quality are widely regarded to be: accuracy, completeness, consistency, timeliness, validity and uniqueness.
The 4 stages of data processing are: data input, data processing, data output or interpretation, and data storage.
Data processing is the conversion by a computer of raw data into a form that can be used for a practical purpose. For example, if you enter sales figures into sales software, the data can be used for inventory control, in other words, to keep track of incoming and outgoing stock.
There are many different kinds of data processing. These include but are not confined to: translating one language into another; arranging data in a numerical or chronological order; analysing data to spot patterns. Scientific data processing is another kind that is particularly complex because it uses extensive computations to organise and analyse sets of data. Accounting programmes are also a form of data processing.
The processing of data refers to a computer turning raw data into a useable form, often using software and high tech tools to do it. Organisations and home computer users carry out the processing of data every day.
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