Udemy - Using Acl Data Analytic For Data Analysis and Income Assurance

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[ DevCourseWeb.com ] Udemy - Using Acl Data Analytic For Data Analysis and Income Assurance
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Fundamentals of ACL
    • 1 - Welcome.mp4 (14.6 MB)
    • 2 - Introduction to ACL.mp4 (26.8 MB)
    • 3 - Understading ACL basics.mp4 (10.7 MB)
    • 4 - Understanding Data concepts.mp4 (18.9 MB)
    • 5 - Data Analysis Cycle.mp4 (14.3 MB)
    2 - Data Access
    • 6 - Creating ACL Project.mp4 (6.2 MB)
    • 7 - How to Import an Excel File.mp4 (36.8 MB)
    • 8 - How to Import an Access File.mp4 (14.7 MB)
    • 9 - How to Import a CSV File.mp4 (22.1 MB)
      • Sample Data Files ACL_Cypress_PCards
      • ACL_Cypress_PCards.ACL (6.5 KB)
      • ACL_Cypress_PCards.LIX (1.4 KB)
      • ACL_Cypress_PCards.LOG (4.7 MB)
      • ACL_Cypress_PCards.acl_py.log (0.7 KB)
      • Cardholder_Master.mdb (284.0 KB)
      • CypressHolidays.fil (1.2 KB)
      • DataAccess.log (0.3 KB)
      • Duplicates_Employee_No.FIL (0.0 KB)
      • Exim_Join_Tables.FIL (8.3 MB)
      • PcardTransactions.fil (6.1 MB)
      • ProhibitedMerchantCodes.fil (34.4 KB)
      • employees.fil (14.1 KB)
      • test.FIL (0.0 KB)
      • tt.FIL (0.1 KB)
      • ttt.FIL (31.6 KB)
      • ACL_Demo.ACL (9.4 KB)
        • ACL_DigiLink_Travel
        • ABAC_Keywords.xls (30.5 KB)
        • ACL_DigiLink_Travel.ACL (20.4 KB)
        • ACL_DigiLink_Travel.aclx (12.1 KB)
          • ACL_DigiLink_Travel_files Data
          • Employees.fil (97.3 KB)
          • Expense_Details.fil (592.5 KB)
          • Expense_Reports.fil (16.2 KB)
          • Expense_Types.fil (0.4 KB)
          • P_Expense_Details.FIL (1.8 MB)
          • Travel_Preauth.fil (17.8 KB)
          Results IMPORT_Travel_Data
          • parameter (0.1 KB)
          • result (0.1 KB)
          Prep_Travel_Data
          • parameter (0.0 KB)
          • result (0.1 KB)
          TNE01_Keyword_Search
          • TNE01_Keyword_Search.fil (5.6 KB)
          • TNE01_Keyword_Search.layout (3.8 KB)
          • parameter (0.2 KB)
          • result (0.1 KB)
          TNE02_High_Risk_Exp_Category
          • TNE02_High_Risk_Exp_Category.fil (14.2 KB)
          • TNE02_High_Risk_Exp_Category.layout (3.0 KB)
          • parameter (0.1 KB)
          • result (0.1 KB)
          TNE03_Outlier_Exp_Category
          • TNE03_Outlier_Exp_Category.fil (19.2 KB)
          • TNE03_Outlier_Exp_Category.layout (3.0 KB)
          • parameter (0.1 KB)
          • result (0.1 KB)
          Visualize_Data
          • Employees.fil (98.0 KB)
          • Employees.layout (0.6 KB)
          • Expense_details.fil (536.7 KB)
          • Expense_details.layout (10.5 KB)
          • Expense_reports.fil (11.9 KB)
          • Expense_reports.layout (10.6 KB)
          • Expense_types.fil (0.4 KB)
          • Expense_types.layout (0.2 KB)
          • Travel_preauth.fil (11.7 KB)
          • Travel_preauth.layout (10.5 KB)
          • parameter (0.0 KB)
          • result (0.1 KB)
          dv_temp
          • 068ef25555c292cf0f4069c9f1be215f.FIL (1.4 KB)
          • 5f6542ecd0b7b62287ef674ee8865977.FIL (1.4 KB)
            • TNE03_Outlier_Exp_Category metrics
            • cdba6f6540c3f5fb756c0f64573a620e.JSON (4.2 KB)
            • f823d6e35bcc86b33d7113cc76f28476.JSON (0.3 KB)
            recordcount
            • 0b8ee7a0d6767c3090ed36cbd72f9563.JSON (0.2 KB)
            summarize
            • 357ee7793e796b207137e97fa56871be.JSON (1.7 KB)
            • 7f487ee86b76a059b30244c3248d8c85.JSON (7.9 KB)
            tabledata
            • 79701d63dfde0d83040ce7b70da0d517.JSON (45.0 KB)
          • d7f3e4fec7b5536df9c116f78b82356e.FIL (1.0 KB)
          • job.out (0.0 KB)
          • outputfile.FIL (3.1 KB)
            • lock (0.0 KB)
              • script_temp
              • job.out (0.0 KB)
            • DigiLink_Travel.mdb (1.0 MB)
              • ACL_Rockwood
              • ACL_Rockwood.ACL (221.4 KB)
              • Authorizations.FIL (428.2 KB)
              • Customers.FIL (3.1 MB)
              • Discounted_items.txt (68.1 KB)
              • Employees.FIL (174.0 KB)
              • Inventory.FIL (632.1 KB)
              • Inventory_review180.TXT (1.1 KB)
              • Invoices.FIL (486.3 KB)
              • Pay_scales.xlsx (10.1 KB)
              • Payments.FIL (568.1 KB)
              • Payroll.FIL (2.3 KB)
              • Payroll_details.FIL (317.2 KB)
              • Purchase_orders.FIL (512.2 KB)
              • Purchase_orders_items.FIL (2.5 MB)
              • Sales_cashiers.FIL (6.4 MB)
              • Sales_cashiers_items.FIL (32.1 MB)
              • Sales_combined.FIL (8.9 MB)
              • Sales_orders.FIL (323.0 KB)
              • Sales_orders_items.FIL (14.8 MB)
              • Shipments.FIL (322.9 KB)
              • Shipments_items.FIL (9.3 MB)
              • Vendors.FIL (4.6 MB)
              • Vouchers.FIL (584.6 KB)
              • Vouchers_items.FIL (2.5 MB)
            • AR Sample.FIL (0.5 KB)
            • AR Summarised.FIL (1.9 KB)
            • ARP100.FDF (0.7 KB)
            • Acceptable_Codes.mdb (160.0 KB)
            • Accounts Receivable Month.FIL (0.9 KB)
            • Agents_Metaphor.fil (7.2 K

Description

Using Acl Data Analytic For Data Analysis & Income Assurance

https://DevCourseWeb.com

Published 11/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.86 GB | Duration: 3h 7m

ACL Data Analytic Basic to Intermediate Training provides a comphensive way to understanding data analytics

What you'll learn
You will learn key data analysis concepts and the basics of working with ACL software.
Explain the fundamentals of data concepts, ACL basics, and data analysis cycles
Students will learn the stages of data access and data analytics automation
Student will learn about Data mining and analysis for management information
You will learn practical examples of analytics in various industries.

Requirements
Participants should have a basic knowledge of Windows.
No prior programming or data analytics skills required.



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Udemy - Using Acl Data Analytic For Data Analysis and Income Assurance
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