Data Quality and Cleaning - First Step in Analytics

Outline

Usually when people or organization started discussing about the Analytic and Business Intelligence to help them to make futuristic decisions, most of the discussions will be around Identifying the BI tools, data to be analyzed and MIS (Management Information System) reports e.t.c. The most important and basic is Data Quality. The quality of data is very important to make a better decision and to support it in future. Data quality should be one of the main key to analyze and make decisions. 

Data Cleaning is a process or technique required to sanitize the data before start analyzing it. Data is very important in the world now and it can used effectively to create wonders. Data online has actually made world very small and easy to collaborate. The sanity of data provides more value to the organization in their decision and it makes the life easier.

I am going to further discuss about the following points in this blog

1. Data Quality in detail

2. Data Cleaning in detail

3. Data Cleaning techniques and tools available

4. Argus Research on Data Cleaning and Quality maintenance

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Email: ravi@argusqatar.com

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Argus Technologies - Business Intelligence and Data Analytics

Argus Technologies, a premium ICT solution provider based in Qatar has listed out its vision for 2014 and the way ahead. Argus technologies had invested on People and other resources to perform a research and development on Business Intelligence and Data Analytic Tools and techniques in 2014 along with very exciting products ( soon to be released) related to Higher Education vertical.

Argus Core team formed with an expertise on BI tools and techniques along with good blend of Higher Education vertical. Argus Technologies is having an enormous experience in higher education vertical in Qatar, as they provide a constant support to leading educational institutions in Qatar.

I am initiating this blog on BI and Data Analytic with a very simple basic presentation to understand what, how and why business intelligence.







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