Exam 3: Data Management, Big Data Analytics, and Records Management

Explain why electronic records management (ERM)is a senior management issue and not simply an IT issue? What does the success of ERM depend upon in the private and public sectors? List 3 situations when a company might have to produce business records.

________ equals 1,000 terabytes.

The principle of ________ explains why most organizations cannot operate at peak performance with blind spots (lack of data availability)of 30 days or longer.Global financial services institutions rely on near-real-time data for peak performance.

Data generated by business apps,sensors,and transaction processing systems (TPS)are typically stored first in a database.

Profit margin is a measure of the percent of a company's revenue left over after paying for its variable costs,such as wages and raw materials.

Data warehouses and data marts are optimized for extremely fast transactions processing.

Online transaction processing (OLTP)systems are designed to manage transaction data,which are volatile.

A distributed database allows apps on computers and mobiles to access data from local and remote databases.

Data ________ are the primary source of cleansed data for analysis,reporting,and BI.

An accurate and consistent view of data throughout the enterprise is needed so one can make informed,actionable decisions that support the business strategy.A function performed by a DBMS to integrate,match,or link data from disparate sources is data _____________.

Companies need to be prepared to respond to an audit,federal investigation,lawsuit,or any other legal action against them.

Data and text mining are used to discover knowledge that you did not know existed in the databases.

_____________________ is a process used to analyze an organization's non-structured data that comes from word processing documents,social media,text messages,audio,faxes,memos,call center or claims notes,and so on.

MDM consolidates data from various data sources into a __________,which then feeds data back to the applications,thereby creating accurate and consistent data across the enterprise.This helps eliminate redundancies,inaccuracies and omissions that might otherwise hinder business processes.

A limitation of Apache Hadoop is that it imposes conditions on the structure of the data it can process.

In terms of the major functions performed by a DBMS,"data filtering and profiling" refers to which of the following?

Databases are stored on servers that reside in the company's data centers,a private cloud,or a public cloud.

Which of the following is not a risk associated with cloud-based BI?

Describe the characteristics of dirty data.Explain three negative consequences of dirty data.What is the general formula showing the costs of poor quality data?

________ tools and techniques process data and do statistical analysis for insight and discovery.