Which of these is the most important factor when determining the complexity of an organization's data model? a.) Its business rules b.) Its reputation c.) Its history d.) Its budget

Q: What is the procedure through which data is gathered and analysed? (ask for examples)

A: What is Data Collection? Data collection is the course of action of collecting, measuring, and…

Q: The BIR need to assess a taxpayer for payment of taxes Group of answer choices True False

A: This statement is true because through BIR (Bureau of Internal Revenue) national government collects…

Q: Discuss the main sources of secondary data.

A: The information which is collected in the process of operations which holds a purpose and relevancy…

Q: Business rules are statements that are clearly stated and unambiguous in nature as a consequence of…

A: Business rules are the rules that provide guidelines and set expectations about how the workor…

Q: concept of data warehousing and its importance in business intelligence and decision-making

A: A data warehouse is a type of data management system that enables and supports business intelligence…

Q: What means "small data"?

A: Small data is data submitted in a volume and configuration which makes it informative, accessible,…

Q: Describe the role of a data dictionary in data warehousing.

A: A data dictionary is crucial in the domain of data warehousing, where immense amounts of data from…

Q: From the Research Topic and Questions below from the Methodology in Data Analysis and interpretation…

A: Human Resource Management (HRM) is the skilled practice of balancing the goals of a company with the…

Q: Discuss the concept of data warehousing and its role in decision support systems. How does it differ…

A: Data warehousing refers to all the processes which includes collection, organization of a from…

Q: Describe the various primary data collection techniques.

A: Primary data is one of two categories of data, the other being secondary data. These two data…

Q: Descriptive analytics must clarify OLAF's purpose.

A: True. Analytics is a subfield of analysis that focuses on looking at past data to find patterns,…

Q: What exactly is enterprise data modeling?

A: An Enterprise data model is a visual representation, or graph, of a business enterprise data. It…

Q: Express the ethical issues that can arise when communicating the results of data analytics.  How do…

A: *Introduction - The prominent ethical issues that may arises in communicating the results of the…

Q: With the help of an example, distinguish between data and information.

A: Data can be described as information that is presented in bits and pieces. In its raw form, it will…

Q: Contrast the planning approach when dealing with data certainty verses uncertainty

A: The organizational aim will be to sustain in the market, and to increase the profitability status of…

Q: Define and explain the importance of indexing in data warehousing.

A: In data warehousing, indexing is the process of developing data structures that allow for faster…

Q: Describe the process of data denormalization in the context of data warehousing and analytics,…

A: Denormalization is a method of data structure optimization for reporting and querying purposes,…

Q: Explain the concept of data warehousing and its relevance in large-scale data modeling and analysis.

A: Data warehousing is a critical concept in the world of data modeling and analysis, particularly in…

Q: What may possibly occur if indexing decisions are made incorrectly?

A: Indexing is a crucial process in information management and retrieval systems. The main purpose of…

Q: Discuss preliminary ideas on how a business can make use of the data theycollect to continue to grow…

A: When it comes to business, it is always better to make preliminary ideas on how a business can make…

Q: Give a few insights on data collection

A: Data collection can be termed as the system of collecting, estimating and discovering exact…

Q: How does the new query system help Medihelp make better decisions for the company? Does Medihelp…

A: At first let us enumerate, what are the problems or difficulties Medihelp was facing. The data was…

Q: Which business research analysis assesses relationships between continuous data outputs and discrete…

A: Research is an organized and planned method of finding answers to the questions. It is a long…

Q: Explain the significance of keywords in data warehousing. How do they assist in data retrieval and…

A: Keywords play a fundamental role in online marketing. They are the words or phrases that people…

Q: What does corporate data modelling do, and how does it work, in this case?

A: The activity of creating a graphical model of the data to be used by an enterprise or company is…

Q: Describe the challenges associated with putting corporate data to use.

A: Corporate data refers to the information generated and collected by an organization during its…

Q: a point of view on the relevance of effectively managing one's own data

A: Every marketer should collect all the data regarding himself and his business in order to analyse…

Q: What are slowly changing dimensions (SCDs), and why are they relevant in data warehousing?

A: A key idea in data warehousing, Slowly Changing Dimensions (SCDs) to solves the difficulties…

Q: n the concept of data warehousing and its role in data modeling. How does it differ from traditional…

A: Data warehousing is a type of data management system that is designed to enable and support business…

Q: Discuss the significance of customer data in the context of CRM and its role in enhancing customer…

A: Customer Relationship Management (CRM) has become a pivotal strategy for businesses aiming to thrive…

Q: Explore the role of OLAP (Online Analytical Processing) in data warehousing. How does OLAP enable…

A: Online Analytical Processing (OLAP) in general is a technology that allows multidimensional data…

Q: To compare and contrast unstructured and organised data, utilise examples. In a normal business…

A: Business refers to an activity of trade where sale and purchase of either goods or services is done…

Q: concept of data warehousing and its relationship with data modeling

A: A data warehouse is a database that captures and stores vast volumes of data in order to analyze…

Q: What is a "slowly changing dimension" (SCD) in the context of data warehousing, and why is it…

A: In the context of data warehousing, a Slowly Changing Dimension (SCD) refers to a dimension within a…

Q: From a managerial perspective, which is NOT one of the important functions of marketing research:…

A: The information related to thoughts, opinions. likes, dislikes, tastes, preferences of customers can…

Q: Explain the correlation between data dictionaries and business glossaries.

A: Data management refers to the complete course of arranging, gaining, putting away, coordinating,…

Fundamentals of distributed DBMS

A software with a centralized system that handles the distributed database in such a way that all are stored in a single site is known as a database management system (DBMS). The idea of the distributed database system is the centralized database, the data is spread out on a distributed network among the cities each having its computer and data storage facilities. This distributed data management is considered a single logical database.