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Data Analysis - On different kinds of data from multiple sources -inside and outside  my company?

Posted by Saahil Karnani on Mar 28, 2019 6:51:39 PM

 

1. Understand there is more than one way to do your analysis.

To be a successful data analyst, you need to learn more than one programming language. As stated in Learning a New Data Science Language, data science tools are always changing, making it necessary for you to keep up with the newest methods.

2. Create a data analysis plan.

Does the thought of data analysis overwhelm you? If so, you are not alone. 62% of marketers feel overwhelmed by the amount of data that they have, showing that this is a common problem. One solution to this problem is to create a data analysis plan. As stated in A Structured Approach to Data Analysis, a data analysis plan can help you to organize your thoughts on how you will conduct your analysis.

3. Get a handle on change and how it impacts your business.

In today's society, change occurs at a rapid pace. Typically, mid- to large-sized organization manage up to 20 different data
sources; many manage hundreds (or thousands) of sources.
Data catalogs are one way to help manage an increasingly complex data landscape. Data catalogs typically contain metadata about your business and its data.

We'd like to hear from you about your experiences on one or more of these three points. Please provide us with your input below and we will send you our E-Book "Visible Self Service Data Discovery".

See how Visible Systems Corporation has integrated the data catalog with its powerful repository features to provide a unique data discovery experience.

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