CSC215 Data Analytics 2018 A. Fill in the blanks (4 points) ) is data whose seal
ID: 3725892 • Letter: C
Question
CSC215 Data Analytics 2018 A. Fill in the blanks (4 points) ) is data whose seale, distribution, diversity and/or timeliness require the use of new technical architectures and analytics to enable insights that unlock new sources of business value. to measure past performance and inform business planning. measure your business. They are commonly defined within the OLAP schema. ) focuses on using a consistent set of metrics ) that reflect the most essential metrics to 4. refers to a combinatio n of analytical and machine learning techniques used for drawing inferences and insight out of data. 5. Both and organizations to meet these emerging business challenges successfully are needed for Criteria for Big Data Projects: be iterative and flexible called ( volume of data and its complexity. These conditions give rise to complex analytical 6. The analytic techniques being used in this context need to ), due to the high projects that can be performed with some latency, during the steps, the ) is needed, or by operationalizing these analytical techniques using a combination of advanced analytical methods, big data and machine learning algorithms to provide real time, it requires ( or near real time analysis. ): Data assets gathered from multiple sources and technologies for analysis; Enables high performance analytics using in database processing; Reduces costs associated with data replication into "shadow" file systems ) is the process of stating the analytics problem to be solved : Data containing a defined data type, format, structureExplanation / Answer
1. Big data is data whose scale, distribution, diversity, and/or timeliness require the use of new technical architectures and analytics to enable insights that unlock new sources of business value.
Big data generates large amount of information , which requires more analysis and good marketing to use it completely .
2. Business Intelligence focuses on using a consistent set of metrics to measure past performance and inform business planning
The business intelligence consists of creating of Key Performance Indicators and KPI's and measure are in OLAP schema which enable Business intelligence reporting.
3. Key Performance Indicators that reflect the most essential metrics to measure your business. They are commonly defined within the OLAP schema .
They enable Business intelligence reporting in the defined matric .
4. Predictive Analytics & Data Mining refers to a combination of analytical and machine learning techniques used for drawing inferences and insight out of data.
The two methods consists of regression analysis, Association Rules , optimization techniques, and simulations , The methods are also required to overcome business challenges.