Description
MIS 690 Topic 2 CLC Data Needs Identification and Data Acquisition GCU
This is a Collaborative Learning Community (CLC) assignment.
Now that you have identified the business problem and translated it into an analytics problem, you can now identify the data needs and acquire the data.
Provide a draft outline that identifies the data needs and addresses the following questions:
- What is needed? Be specific for each variable (e.g., Monthly Sales last 12 months, Number of Monthly Customers last 12 months).
- How can the data be obtained? When can the data be obtained?
- For each data variable, identify the specific type: Are they measured data (continuous, e.g., how long does a customer stay in the retail store?) or counted data (discrete, e.g., how many customers came to the store from 1 p.m. to 2 p.m.?).
- Assess whether the available data can be used to address the specific analytics problem statement identified in the Topic 1 assignment.
- Provide the raw data that you will be using for subsequent assignments. Place the dataset into an Excel file. Ensure that column headers are provided that clearly identify the meaning of each data variable. As needed, provide the necessary information in the file so data values can be interpreted. If there are concerns about proprietary issues related to using company data, you can change your data set accordingly.
Synthesize the information from your draft outline to complete, in 750-1,000 words, the relevant components in the Data Understanding, Acquisition, and Preprocessing section of the “Capstone Project Thesis Template.”
Submit the draft outline, raw data Excel file, and the updated “Capstone Project Thesis Template.”
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
You are required to submit this assignment to LopesWrite. Refer to the LopesWrite Technical Support articles for assistance.
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MIS 690 Topic 2 CLC Data Needs Identification and Data Acquisition GCU
ACCT 553 DeVry, BIAM 500 DeVry, CIS 500 STR, CIS 558 STR, ENG 105 GCU, FIN 390 DeVry, FIN 504 GCU, HCA 545 GCU, HCA 699 GCU, HLT 306 GCU, HLT 362 GCU, HLT 555 GCU, HLT 610 GCU, HLT 665 GCU, HOSP 594 DeVry, HRM 600 DeVry, MAT 144 GCU, MGMT 600, MGT 599 STR, MGT 655 GCU, MKT 373 GCU, PSY 362 GCU, PSY 565 GCU, PSY 575 GCU, PSY 665 GCU, SOC 102 GCU, SOC 320 GCU, SOC 372 GCU, SOC 412 GCU, NSG 6440 SU, HIM 515 GCU, NSG 4029 SU, HIM 615 GCU, NSG 3029 SU, NSG 4055 SU, NSG 6630 SU, NSG 6005 SU, CRMJ 310, PSY 510 GCU, CRMJ 300 Devry, CRMJ 425, SPD 200 GCU, HLT 490 GCU ,ECH 340 GCU , ECH 440 GCU , ECH 355 GCU ,ECH 350 GCU ,LDR 461 GCU ,ECH 425 GCU ,REL 212 STR ,SCI 115 STR ,CIS 505 STR ,JUS 652 GCU, MGT 640 GCU, CIS 527 STR, SOC 436 GCU,ACC 502 GCU, FIN 504 GCU ,MATH 260 DeVry ,ETHC 445 DeVry ,ECET 220 DeVry , CARD 405 DeVry, NETW 203 DeVry, NETW 205 DeVry, ECET 365 DeVry ,MATH 270 DeVry ,PHYS 310 DeVry, BIB 106 GCU ,CIS 512 STR ,SYM 506 GCU ,ECN 601 GCU ,BIAM 570 DeVry, PSY 402 GCU , SOC 480 GCU , HUM 112 STR , PHI 210 STR, ACC 667 GCU, ACC 622 GCU, ACC 623 GCU, ENTR 510 DeVry, DNP 840 GCU , BIO 550 GCU , HRM 420 DeVry , ACC 690 GCU , HCA 807 GCU , ACC 650 GCU , REET 420 DeVry , MIS 605 GCU , ECET 350 DeVry , ENTR 530 DeVry , PSY 102 GCU , MIS 600 GCU , TCH 539 GCU , SPD 300 GCU , HCA 812 GCU , TCH 520 GCU , MGT 410 GCU , MIS 610 GCU , ELM 351 GCU
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