Match the items. a. Online analytical processing (OLAP) b. ERP systems c. Data mining d. Data cleansing e. Data warehouse f. Core applications g. Client-server model h. Scalability i. Big bang approach j. Bolt-on software 1. Applications that operationally support the day-to-day activities of the business. 2. Online transactions that access very lyrge amounts of data (e.g., several years of sales data) and analyze the relationships among many types of business elements such as sales, products, geographic regions, and marketing channels. 3. Multiple-module software packages that are used to integrate key processes of the organization such as order 1. Applications that operationally support the day-to-day activities of the business. 2. Online transactions that access very large amounts of data (e.g., several years of sales data) and analyze the relationships among many types of business elements such as sales, products, geographic regions, and marketing channels. 3. Multiple-module software packages that are used to integrate key processes of the organization such as order entry, manufacturing, procurement and accounts payable, payroll, and human resources. 4. A form of network topology in which the user's computer or terminal accesses the ERPs programs and data, via a host computer. 5. Special purpose software provided by third party vendors. These packages are used for purposes the ERP software alone does not address. 6. A relational or multi-dimensional database that may consume a very large storage space. It consists of historic data that is used for business analysis. 7. The process of selecting, exploring, and modeling large amounts of data to uncover relationships and global consume a very large storage space. It consists of historic data that is used for business analysis. 7. The process of selecting, exploring, and modeling large amounts of data to uncover relationships and global patterns that exist in large databases but are hidden among the vast number of facts. 8. Involves filtering out or repairing invalid data prior to being stored in the warehouse. It also involves transforming data into standard business terms with standard data values. 9. A method of implementing an ERP system in which an organizations attempts to switch operations from their old legacy systems to the new system in a single event which implements the ERP system across the entire company. 10. The system's ability to grow smoothly and economically as user requirements increase.