Data Analyst 101

  • DATA MANAGEMENT

    The technologies, architectures, and practices needed to manage data as a critical enterprise asset. It is a broad field, within which there are specialized disciplines.
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DATA QUALITY

Data Quality determines success or failure of any data project. Preparing for validation of data quality is a critical activity in any data project.



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DATA MODELLING

Data Modeling enables you to understand how various data objects are related to each so that so you can accurate report data without errors 



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DATA INTEGRATIONS 

Data required for a comprehensive performance of any organization is distributed across systems. Data Integration is required to bring all data together to give accurate picture of business performance


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DATA PREP

Data Preparation allows users to clean data and make it ready for analysis. This activity can be performed by business users before releasing data to other departments


DATA WAREHOUSING 

Data Warehousing allows centralized and flexible reporting structure that can be reliable for any user. Data Warehousing principles enable to create a consistent and reliable reporting architecture

DATA VISUALIZATIONS 

A picture is worth thousand words. Data Visualization makes it easy for anyone to spot trends, relationships and variances to come to same conclusion irrespective of role and familiarity with the dataset.

DATA SECURITY 

Keeping data secure is an important consideration of any data architecture. Ensuring no PII (Personally Identifiable Information) is accidentally exposed to users who are not authorized is an example of Data Security.

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