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over 4 years ago
Data Science is a field that makes use of scientific methods and algorithms in order to extract knowledge and discover insights from data (structured on unstructured). Data Analytics is the process of using specialized systems and software to inspect information in datasets in order to derive conclusions
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Data Science::
Data Science is a comprehensive process that involves preprocessing, analysis, visualization, and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events.
A Data Scientist, on the other hand, helps the company and businesses to make careful data-driven decisions. A Data Scientist is responsible for extracting data using SQL and NoSQL queries, cleaning various anomalies in the data, analyzing the patterns in data, and applying predictive models.
Data Science is a comprehensive process that involves preprocessing, analysis, visualization, and prediction. On the other hand, AI is the implementation of a predictive model to forecast future events.
A Data Scientist, on the other hand, helps the company and businesses to make careful data-driven decisions. A Data Scientist is responsible for extracting data using SQL and NoSQL queries, cleaning various anomalies in the data, analyzing the patterns in data, and applying predictive models.
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over 4 years ago
The tools of business intelligence are also limited to the analysis of management information and curation of business strategies. However, the tools of a data scientist involve complex algorithmic models, data processing, and even big data tools. While BI focuses on generating reports based on the internal structured data, Data Science focuses on generating insights out of the data.
Assessing Learning
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over 4 years ago
Data Science is a process of extracting, manipulating, visualizing, maintaining data as well as generating predictions.
A Data Scientist is supposed to have knowledge of various data operations as well as machine learning algorithms. Using Data Science, industries are able to extract insights and forecast their performance.
A Data Scientist is supposed to have knowledge of various data operations as well as machine learning algorithms. Using Data Science, industries are able to extract insights and forecast their performance.
Assessing Learning
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ASSESSING LEARNING
Business Intelligence and Data Science
Business Intelligence and Data Science are two of the most recurring terms in the digital era. While both of them involve the use of data, they are totally different from one another. Data Science is the bigger pool containing greater information, BI can be thought of as a part of the bigger picture.
What is Business Intelligence?
Business Intelligence is a process of collecting, integrating, analyzing, and presenting the data. With Business Intelligence, executives and managers can have a better understanding of decision-making. This process is carried out through software services and tools.
Using Business Intelligence, organizations are able to several strategic and operational business decisions. Furthermore, BI tools are used for the analysis and creation of reports. They are also used for producing graphs, dashboards, summaries, and charts to help the business executives to make better decisions.
What is Business Intelligence?
Business Intelligence is a process of collecting, integrating, analyzing, and presenting the data. With Business Intelligence, executives and managers can have a better understanding of decision-making. This process is carried out through software services and tools.
Using Business Intelligence, organizations are able to several strategic and operational business decisions. Furthermore, BI tools are used for the analysis and creation of reports. They are also used for producing graphs, dashboards, summaries, and charts to help the business executives to make better decisions.
Authored by:
Rupali
Posted on: #iteachmsu
Business Intelligence and Data Science
Business Intelligence and Data Science are two of the most rec...
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ASSESSING LEARNING
Tuesday, Jan 5, 2021
Posted on: #iteachmsu
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over 4 years ago
Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years,[1] there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data that was produced entirely by machines OR data that is more about observing humans than recording their choices."[2] Meanwhile, Daniel Abadi, CS Professor at Yale, proposes a narrower definition, "Machine-generated data is data that is generated as a result of a decision of an independent computational agent or a measurement of an event that is not caused by a human action."[3] Regardless of definition differences, both exclude data manually entered by a person.[4] Machine-generated data crosses all industry sectors. Often and increasingly, humans are unaware their actions are generating the data.[
Assessing Learning
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ASSESSING LEARNING
An Effective Management Information System
Effective Management Information System:
Essential characteristics of an effective management information system are 1. MIS is management-oriented 2. MIS is developed under the direction of management 3. MIS is an integrated system 4. common data flow 5. MIS is based upon the future needs of the business 6. MIS is composed of sub-systems 7. MIS requires flexibility 8. distributed data processing and 9. MIS is mostly computerized.
Management Information System is established in an organization to provide relevant information to the managers to operate effectively and efficiently.
1. MIS is management-oriented:
The design of MIS starts with an appraisal of the information needs of the management. The system is usually designed from top to bottom. However, this does not mean that MIS fulfills the information needs of top management only.
It only implies that the information needs of the top management will serve as a basis for the assessment of the information needs of lower-level managers. In every case, the system should be designed to cater to the information needs of all levels of management.
2. MIS is developed under the direction of management:
Because of the management orientation of MIS, it is imperative that the management of an organization actively directs the development and establishment of the MIS in an organization.
It is rare to find an MIS where the manager himself, or a high-level representative of his department, is not spending a good deal of time in the system design.
Essential characteristics of an effective management information system are 1. MIS is management-oriented 2. MIS is developed under the direction of management 3. MIS is an integrated system 4. common data flow 5. MIS is based upon the future needs of the business 6. MIS is composed of sub-systems 7. MIS requires flexibility 8. distributed data processing and 9. MIS is mostly computerized.
Management Information System is established in an organization to provide relevant information to the managers to operate effectively and efficiently.
1. MIS is management-oriented:
The design of MIS starts with an appraisal of the information needs of the management. The system is usually designed from top to bottom. However, this does not mean that MIS fulfills the information needs of top management only.
It only implies that the information needs of the top management will serve as a basis for the assessment of the information needs of lower-level managers. In every case, the system should be designed to cater to the information needs of all levels of management.
2. MIS is developed under the direction of management:
Because of the management orientation of MIS, it is imperative that the management of an organization actively directs the development and establishment of the MIS in an organization.
It is rare to find an MIS where the manager himself, or a high-level representative of his department, is not spending a good deal of time in the system design.
Authored by:
Rupali
Posted on: #iteachmsu
An Effective Management Information System
Effective Management Information System:
Essential characteristics ...
Essential characteristics ...
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ASSESSING LEARNING
Tuesday, Jan 5, 2021
Posted on: #iteachmsu
Assessing Learning
Management Information System
Posted by:
Rupali Jagtap
