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Business Analytics INTRODUCTION 2

   

Added on  2020-10-22

8 Pages2052 Words300 Views
Data Science and Big DataPolitical Science
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Business Analytics
Business Analytics INTRODUCTION 2_1

Table of ContentsINTRODUCTION...........................................................................................................................2TASK 1 (1500)................................................................................................................................31. Data management:..............................................................................................................32. Background to data storage and security in Google:..........................................................43. Analysis of impacts, requirement to meet criteria and expected skills:.............................5CONCLUSION................................................................................................................................7REFRENCES...................................................................................................................................8
Business Analytics INTRODUCTION 2_2

INTRODUCTIONBusiness analytics includes technologies abilities, usual procedures and technical skillsfor regular constant analysis and observation of subsequent performance of business tin order toestablish monitoring system and planning framework. It emphasises towards developing anobservation process and analysing performance of business by using various statistical andscientific methods (Chen, Chiang and Storey, 2012). For business analytics, data management isvital aspect for a business organisation and ensuring proper management of data assistorganisation to conduct business analytics effectively. This report describes various majoraspects of data analytics such as definition of data management, background, required skills fordata management and business skills, Statistics techniques and decision tree in the context ofGoogle. TASK 1 (1500)1. Data management:Data management refers to administrative process that includes obtaining, approving,classifying, safeguarding and transforming significant data in order to provide proper access ofdata, reliable data and timely data to users. For establishing proper control and providing aframework for decision making, entities or organisations are using data at a large scale. In orderto understand large amount of data or complex data that organisations are collecting fromdifferent sources companies are moving towards platforms related to data management solutions(Acito and Khatri, 2014). Data management solutions assists in classifying, safeguarding andtransforming vital data. Data management simply is an organization's management ofinformation and data in order to secure and structured access and storage. Data managementfunctions include development of data governance policies, segregation and storage, analysis andarchitecture, data security and data source identification, database management system (DMS)integration. Data management Includes various techniques that expedite and ensure data controland flow from development to processing, addition, deletion and utilization. Data management iscarried out by using a adhesive fundamental infrastructure of various technological resourcesand a governing structured that characterize administrative processes used throughout wholeprocessing cycle. Data management is necessary because data and informations of organization
Business Analytics INTRODUCTION 2_3

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