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"The Ultimate Data Preparation and Data Analysis Kit"

The Ultimate Data Preparation Kit

White Paper: Sisense

Data preparation is quickly gaining stature as one of the most important aspects of today's analytical environments. 80% of the time spent analyzing data is devoted to data preparation. But do you know what it takes to properly prepare your data?

This whitepaper covers the 6 crucial steps of preparing data for analysis, and highlights the important things to look out for in every one of them.

Key takeaways from this whitepaper:

  • How effective data preparation can have a substantial positive impact on these users

  • The way data is prepared will often determine which types of analyses can be carried out

  •  How best-in- class companies have a three-pronged approach to enhanced data preparation

  •  Will data be consistent and accurate for the people receiving reports or viewing dashboards?

  • These efforts not only lead to more effective data preparation, but ultimately more enhanced business performance as well.

The Ultimate Data Preparation Kit
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What is

What is Database ?

Database is a concise and arranged collection of similar data that is usually accessible to many simultaneous users. Database can be stored on a system and examined by a program called database management system (DBMS). One of the most important aspects of a DBMS is its relational model which is also known as relational Database management system (RDBMS)

What is Data Management ?

Data management is the development and execution of policies and procedures in order to manage the information lifecycle needs of an enterprise ensuring the accessibility, reliability, and timeliness of the data for its users. Data Management enables organizations and enterprises to use data in: Organizing the enterprise data, Storing and preserving data for future re-use, Making data ready to use anytime, Share data with colleagues

What is Data Visualization ?

Data visualization is the technique of representing information in graphical or pictorial form to communicate the correlation between the data. With the help of visual representation, information is explicated in schematic form to provide quick glimpse of the subject matter.The concise description of the data by means of graphs, charts, and points enable decision makers to get a summarizing view of the data analysis and identify new patterns

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