What are some of the most common challenges that have a significant impact on successful implementation of Big Data analytics?

*Data volume The ability to capture, store, and process the huge volume of data in a timely manner *Data integration The ability to combine data quickly and at reasonable cost *Processing capabilities The ability to process the data quickly, as it is captured (i.e., stream analytics) *Data governance (… security, privacy, access) *Skill availability (… data scientist) *Solution cost (ROI) More test answers on https://studyhippo.com/chapter-6-big-data-and-analytics/

What are some business problems addressed by big data analytics?

*Process efficiency and cost reduction *Brand management *Revenue maximization, cross-selling/up-selling *Enhanced customer experience *Churn identification, customer recruiting *Improved customer service *Identifying new products and market opportunities *Risk management *Regulatory compliance *Enhanced security capabilities More test answers on https://studyhippo.com/chapter-6-big-data-and-analytics/

a. Big data analytics b. Data discovery c. Master data management d. Information optimization

________ enable managers to predict how customers would behave and use that knowledge to be prepared to respond quickly. Section Reference: Data Warehouse and Big Data Analytics More test answers on https://studyhippo.com/chapter-3-data-management-big-data-analytics-and-records-management/

a. Big data analytics b. Data mining c. Extract, transformation, load (ETL) d. Data de-duplication

________ processes move data from databases into data warehouses or data marts, where the data are available for access, reports, and analysis. Section Reference: Data Warehouse and Big Data Analytics More test answers on https://studyhippo.com/chapter-3-data-management-big-data-analytics-and-records-management/

Big Data analytics focuses

on unstructured, large data sets that may also include vastly different types of data for analysis. More test answers on https://studyhippo.com/business-analytics-unit-1/

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Big Data Analytics Flashcards, test questions and answers

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What is Big Data Analytics?

Big Data Analytics is the process of collecting and analyzing large amounts of data to identify patterns, trends, and correlations. This type of analysis is becoming increasingly important in many areas such as marketing, healthcare, finance, telecommunications and security. Big Data Analytics can help organizations improve their decision-making processes by uncovering insights that may not have been visible using traditional methods. Organizations are using Big Data Analytics to gain a competitive advantage by leveraging the information they collect from customers, employees or other sources.Big Data Analytics is made possible by new technologies such as Hadoop, Spark and NoSQL databases that allow organizations to store large amounts of data cost-effectively and process it quickly. By taking advantage of these technologies, businesses can analyze data in real time to gain valuable insights into customer behavior or business operations. Furthermore, machine learning algorithms can be used to automate the analysis process so that decisions can be made faster and more accurately than ever before. Organizations are also using Big Data Analytics to detect fraud or security threats more quickly than traditional methods allow for. By monitoring vast amounts of data in real time, companies can detect suspicious activity much sooner than if they relied on manual checks alone. This helps reduce losses from fraudulent activities while ensuring customers’ financial information remains secure. Overall, Big Data Analytics has revolutionized how organizations make decisions by allowing them to leverage huge amounts of data for better insight into customer behavior or operational performance.