Data Integration: The Art of Improving Data Quality

Data Integration: The Art of Improving Data Quality image

For those privy to the process, data analysis is the intricate art of working on data with the purpose of arranging it correctly, explaining it, making it presentable, and finding conclusions from that data that’s easier for others to digest and make sound and sensible decisions.

As the main purpose of data analysis and management is to enable executives in making tough and big decisions, they will need an arsenal of data tools to help the process, making it more seamless and discernibly faster.

Data-driven businesses make decisions based on data, which means they can be more confident that their actions will bring success since there is data to support them.


In simple words, data analysis is the process of collecting and organizing data in order to draw helpful conclusions from it. The process of data analysis uses analytical and logical reasoning to gain information from the data.

The main purpose of data analysis is to find meaning in data so that the derived knowledge can be used to make informed decisions.

While some are just gifted with the necessary skills that are supposed to be inherent in order to be a data analyst, not everyone is blessed to be a natural. Thankfully, there’s a whole arsenal of data tools one can use to even out the playing field in the world of data management.

In the following, we review some tools and techniques, which are available for big data analysis in data centres.

Calculation and Analysis tools

Calculating and analysing numerical data is a common activity in various fields of data management. With the invention of spreadsheets, the processing of numerical data is more focused on organising the data and defining the operations that the spreadsheet should do. Once captured, data is then processed, grouped, ordered, and visualised in many different ways.

Data-Base Management Tools

Data processing made available in organised digital repositories makes it somehow possible to generate information with distinct views based on the needs of the user. The principal functions of these data management tools allow data to be accessed via comprehensive searches of available registries or just segments of the database.

Not only do these simply store, organise, and search for information in an efficient manner, but these tools also permit the generation of new knowledge that would have otherwise been very difficult to obtain without technology.

Online surveys and descriptive statistics

Collecting data and feedback from customers is an important task for educators and researchers. Many LMS (Learning Management Systems) include their own survey creation and management tools, but in many cases, this function needs to be accomplished independently.

Statistical Data Analysis Tools

Usually, databases contain very valuable information. Beyond data, there are times, it is necessary to find commonalities or to test hypotheses about cause and effect issues allotting for diverse criteria.

Although finding the right tool for data management may seem like a very daunting and confusing task, the better action is to change your goal into making the most out of the tools you have available at the moment. This is possible if you ask for the help of professionals who have extensive knowledge and experience dealing with everything that’s about data.

has over 30 years of experience in data and can help provide you with the right tools and strategies that are a perfect fit for your needs. From the most simple to some of the most complicated facets of data management, ADEC is the bespoke data solutions brand that boasts of quality and quantity.

Book a 20-minute consultation with us today and let us help you reach your businesses’ maximum potential through data.