Data Governance and Data Management Length: around 1000 words Question 1 : Define and explain the concept of the following terminologies: · Electronic Records Management; · Business intelligence (BI)...

Big Data
Big Data
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Contents
Solution 1    2
Electronic Records Management    2
Business intelligence (BI) and Analytics    2
Data and text mining    2
Big data analytics and data discovery    2
Enterprise architecture    3
Management information systems    3
Data life cycle and data principles    3
Cloud computing    3
Solution 2    4
Solution 3    4
Solution 4    5
Part 1    5
Part 2    5
Part 3    5
Part 4    5
Part 5    5
Part 6    6
Part 7    6
Solution 5    7
Part 1    7
Part 2    7
Part 3    7
Part 4    7
Part 5    8
References    9
Solution 1
Electronic Records Management
The electronic records are responsible for efficient or planned control of acquisition, receipt, maintenance, utilize or scope of record, including the process of obtaining business evidence and the acquisition and compliance of information and transactions in form of entries and records (Hare, 2008).
Business intelligence (BI) and Analytics
BA is a comprehensive expression of the methods and techniques you can use to access and explore corporate data and is designed to provide new and useful insights to improve business planning and to improve future performance (Dedić and Stanier, 2017).
BI also involves accessing and browsing the organization's data. Moreover, the ultimate goal is to better comprehend how business works, make smarter decisions to improve performance, moreover create new planned opportunities for the growth.
Data and text mining
High quality information is obtained by most design patterns and trends.
Automatically detect large databases for data samples and flow searches beyond the normal analysis (Indurkhya, 2015). Data mining department uses state of the art mathematical algorithm in data and evaluates the probability of future event. Data mining data is also known as Knowledge Search. High quality data is often obtained by means of design patterns and trends.
Big data analytics and data discovery
Large data search combines data discovery and behavioural analysis methods for large data. Big Data Discovery Technology and Practices Enables a large number of repeated data access under machine learning and advanced analysis guides. Most importantly, professional users can access this functionality through powerful and intuitive tools (Hussein and Roy, 2016).
Big Data Analytics is the process of examining a large number of different data sets to find small samples, unknown interactions, market trends, customer preferences, and other useful information (which is large data) that help businesses make more informed business decisions.
Enterprise architecture
Enterprise Architecture is a comprehensive operating plan that explores the functional areas of all organizations that explain how the benefits of technology work and explain how the organization's overall mission works (Taboris. 2012).
Management information systems
The management information system is computerized information about computerized information that is managed and managed by the company in such a way that it creates periodical operational reports for management of each level in the company. Special reports are also easily accessible from the system.
Data life cycle and data principles
Information Lifecycle is a strategy-based approach for managing data stream flow of information systems during a life-cycle: from time of production and initial storage it becomes obsolete and destroys
Informational principles are useful because they support knowledge discovery and innovation and support to gather data and knowledge to facilitate data sharing and reuse (Reich, 2015).
Cloud computing
Cloud computing is a calculation that relies on shared computing resources rather than using a local server or personal device to process the...