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Digital Business Systems

Components of a Financial Accounting System

Components of a Financial Accounting System

06/03/2016 By debkr

accounting-systemsNominal Ledger (NL)

Also known as the General Ledger (GL). Structured by the Chart of Accounts, which is in turn defined by the Management Accounts and other Management Information, Reporting and Analysis requirements specific to the business. Accounts consist of Trial Balance – made up of various ledger entries (Purchase Ledger, Sales Ledger, etc.) together with various Period-End Journals (Accruals, Prepayments, Depreciation, etc.). Reported in month-end accounts (Financial Statements: Profit and Loss, Balance Sheet, Cash Flow Statement) and other general ledger reports. Actual results are compared monthly against Budget or Forecast, and are often also forecast out to year-end. Month-end and ad hoc analysis and reporting can also be included (e.g. Revenue analysis, Cost analysis, Product or Service analysis, Customer analysis, Contribution or Profitability analysis). [Read more…] about Components of a Financial Accounting System

Filed Under: Blog, Digital Business Systems, FS

Critical Metrics: Designing Better Management Information Systems

Critical Metrics: Designing Better Management Information Systems

04/03/2016 By debkr

MI_MatrixThree kinds of Business Metrics: Sales (Revenue), Profitability (Efficiency) and Risk metrics. (Ref. # 1)

Four types of Functional Analytics: Production (e.g. Publishing), Marketing/Sales, Operational and Financial analytics.

Create a matrix 3 across by 4 down.

Fit all the different possible metrics (appropriate to your specific business) in the relevant sector, being one of the 3 kinds of Business Metrics and one of the 4 types of Functional Analytics. [Read more…] about Critical Metrics: Designing Better Management Information Systems

Filed Under: Blog, Data Analytics, Digital Business Systems, FS

Business Analytics: Course Listing

Business Analytics: Course Listing

04/03/2016 By debkr

Very rough working file of courses covering Business Intelligence, Business Analytics, Relational Database Management and systems skills (Advanced Excel, SQL). Prioritised courses highlighted red. MOOC study forms part of Business Analytics Personalised Training Plan.

Coursera
Business Analytics Specialisation – Wharton (4 courses + capstone project with certification, £367 or £408 PAYG)
Customer Analytics – Wharton (14Mar-25Apr £65, 1st course in above specialisation)

Excel to MySQL: Analytic Techniques for Business Specialisation – Duke Univ. (4 courses + capstone project with certification, £243 or £270 PAYG)
Business Metrics for Data-Driven Companies – Duke Univ. (7Mar-11Apr £54, 1st course in above specialisation)

Parked due to not yet meeting pre-requisites:
Strategic Business Analytics Specialisation – ESSEC Business School (3 courses + capstone project with certification, £207 or £230 PAYG) – Pre-requisites: Able to use R or to program; Knows fundamentals of databases and data analysis (regression, classification, clustering)

Parked due to lecturer’s accent/doesn’t grab the attention:
Data Warehousing for Business Intelligence Specialisation – Univ. of Colorado (4 courses + capstone project with certification, £243 or £270 PAYG)
Business Intelligence Concepts, Tools and Applications – Univ. of Colorado (29Feb-11Apr £54, part of above specialisation)

Filed Under: Data Analytics, Digital Business Systems, Personalised Training Plan

Business Analytics: PTP and Syllabus

Business Analytics: PTP and Syllabus

04/03/2016 By debkr

analyticsBusiness Analytics: personalised training plan

Key Learning Objectives
Understand data-rich business environments and their commercial drivers (incl. how they differ from trad. businesses)
Understand and apply business metrics best practice (setting, measuring, reporting, decision-making)
Select and use relevant data tools to solve business problems (competitiveness, profitability, cash flow, marketing)
Understand and apply critical business metrics for internet marketing / direct-response marketing businesses
Apply data analysis best practice (framing the problem, developing robust predictive models, generating insights and value from data, visualising/communicating data and insights) [Read more…] about Business Analytics: PTP and Syllabus

Filed Under: Blog, Data Analytics, Digital Business Systems, Personalised Training Plan

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