Course Content
Introduction to GreeneStep CRM
Understand the role and significance of CRM systems in modern business operations.Gain practical knowledge of configuring and managing GreeneStep CRM System. Develop skills in user access management, reporting structures, and organization chart setup. Learn to implement effective performance management strategies using CRM tools. Learn communication and collaboration skills through CRM platforms. Acquire proficiency in setting up and optimizing business processes within GreeneStep CRM. Apply CRM systems in various business scenarios, including employee training, and day-to-day operations management. Analyze and utilize CRM data for decision-making and improving business outcomes.
0/6
GreeneStep ‘Lead to Cash Process’ Management
00:00
CRM System Overview
00:00
Implementation of CRM & Best Practices and Challenges
00:00
Navigating GreeneStep CRM
00:00
Customer 360 in Greenestep
00:00
CRM Video Explanation
00:00
Lead Gen / Lead Qualification Process
Understand the role and significance of CRM in Revenue and Sales processes. To comprehend the role of financial statements, especially the balance sheet, income statement, and cash flow statement, in evaluating sales performance. To utilize ratio analysis and common size statement analysis for evaluating sales performance and financial health. To understand how sales and revenue works inside the GS software
0/7
L2C process Implementation in Greenestep
00:00
Leveraging Financial Data for Sales Insights using ERP
00:00
Financial Analysis for Sales Optimization
00:00
ERP in Action for Financial Analysis
00:00
Cash Flow Management and Sales Forecasting made Simple
00:00
Assessment
00:01:00
Understanding Financial Statements for Sales Analysis
00:00
Customer Order Management
Management (SCM) and its role in business operations. Identify and explain key components of Distribution Management within SCM, including distribution channels, inventory management, and warehousing. Describe the order fulfillment process and its importance in ensuring customer satisfaction and efficient distribution. Analyze the significance of logistics and transportation in SCM and its impact on overall supply chain efficiency. Recognize the integration of CRM with SCM and its benefits in centralizing customer data and enhancing customer satisfaction. Explain the role of CRM systems, particularly as designed in GreeneStep's software, in streamlining operations and resource utilization within SCM. Understand the key modules and processes for SCM, including SCM, sourcing, delivery, logistics, return management, and performance indicators. Discuss the application of IT in SCM and its contribution to enhancing communication, collaboration, and decision-making across the supply chain
0/6
L2C process Implementation in Greenestep
00:00
Concepts of Distribution Industry Supply Chain Management & Importance
00:00
Overview of Supply Chain Management in CRM
00:00
Supply Chain Management Process in GreeneStep ERP Integration
00:00
Benefits and Key Features of SCM
00:00
CaseStudy Analysis
Purchases and Inventory Management
Identify the key activities involved in the procurement process. Recognize real-world examples of procurement activities across various industries. Learn how procurement contributes to effective supply chain management. Understand the steps involved in the procurement process in detail. Comprehend the importance of supplier assessment and key elements involved. Explore the benefits and implementation of e-procurement. Identify the advantages and risks associated with outsourcing in procurement. Grasp key aspects of inventory management and related strategies. Understand the use of ERP systems in procurement and expense management. Learn how ERP systems streamline procurement activities and enhance efficiency.
0/7
L2C process Implementation in Greenestep
00:00
Introduction to Procurement in Supply Chain Management
00:00
Role of Procurement in Supply Chain Management
00:00
Supplier Assessment in Procurement
00:00
Outsourcing: Benefits and Risks
00:00
Inventory Management
00:00
Utilizing ERP Systems in Procurement and Expense Management
00:00
Invoicing and Tax Compliances
Explain the pivotal role of financial management in organizational success, using real-world examples. Analyze the risk-return relationship and its impact on investment decisions. Apply time value of money (TVM) concepts to assess the worth of future cash flows. Evaluate capital budgeting techniques (NPV, IRR, Payback Period) and understand capital rationing. Calculate the weighted average cost of capital (WACC) and its significance in financing decisions. Interpret EBIT-EPS analysis to determine the impact of financing choices on earnings. Differentiate between operating and financial leverage and their effects on profitability. Discuss theories of capital structure and their implications for corporate value. Formulate a dividend policy that aligns with company goals and shareholder expectations. Manage working capital effectively by optimizing cash, receivables, and inventory. Forecast working capital requirements based on business needs and market conditions. Tax management using ERP
0/7
L2C process Implementation in Greenestep
00:00
Introduction to Financial Management
00:00
Financial Analysis and Planning
00:00
Capital Budgeting and Capital Rationing for Investment Decisions
00:00
Financing Decisions Concepts
00:00
Working Capital Management
00:00
Tax Management
00:00
Performance Analytics
Grasp the fundamental concepts of data, including its types, sources, and the classification of digital data. Differentiate between data science, statistics, mathematics, programming languages, databases, and machine learning. Comprehend the definition, importance, and key objectives of business data analytics within ERP systems. Learn the steps to integrate business data analytics into ERP systems and understand the role of BI tools.
0/6
L2C process Implementation in Greenestep
00:00
Introduction to Data
00:00
Introduction to Business Data Analytics
00:00
Implementing Business Data Analytics in ERP Systems
00:00
Real-Time Analytics
00:00
Data Visualization
00:00
Accounting and Compliance
Understand revenue recognition methods and their application in different business scenarios. Identify measurement issues related to accounts receivables and manage them effectively using ERP systems. Classify inventory types and apply appropriate valuation methods. Comprehend various depreciation methods and automate calculations through ERP systems. Accurately account for long-lived assets, including their depreciation. Distinguish between equity and liability and manage them using ERP systems. Apply lease accounting standards and manage lease agreements in ERP systems. Interpret and prepare components of an annual report using consolidated financial data from ERP systems. Grasp fundamental principles and concepts of financial accounting. Generate trial balances and prepare final accounts. Understand cost accounting terminology and the creation of cost sheets. Develop and control budgets, utilizing ERP systems for detailed cost tracking and strategic planning.
0/6
L2C process Implementation in Greenestep
00:00
Fundamentals of Accounting
00:00
Revenue and Receivables
00:00
Asset Management and Depreciation
00:00
Equity, Liabilities, and Leases
00:00
Understanding the Annual Report
00:00
June14-GreeneStep CRM (Backup Copy 1)
About Lesson

Step 1: Identify Business Objectives

Objective: Define what the business aims to achieve through data analytics, such as improving customer satisfaction, increasing sales, or optimizing operations.

Example: A retail business might aim to use data analytics to enhance customer experience by personalizing marketing efforts and optimizing inventory levels.

Step 2: Data Collection and Integration

Data Sources: Identify and integrate relevant data sources, such as sales data, customer feedback, and supply chain data, into the ERP system.

Example: The retail business integrates data from online sales platforms, in-store point-of-sale systems, and customer surveys into its ERP system.

Step 3: Data Cleaning and Pre-processing

Data Quality: Ensure the data is accurate and ready for analysis by cleaning and preprocessing it.

Example: The retail business cleans its data by removing duplicates, correcting errors, and ensuring consistent formatting.

Step 4: Data Analysis

Techniques: Apply descriptive, predictive, and prescriptive analytics techniques to analyse the data.

Example: The retail business uses descriptive analytics to generate sales reports, predictive analytics to forecast future demand, and prescriptive analytics to optimize inventory levels.

Step 5: Actionable Insights

Insights: Translate the analysis into actionable insights that can inform business decisions.

Example: Based on the analysis, the retail business decides to increase stock levels for high-demand products and launch targeted marketing campaigns to boost sales.

 

Integrating BI Tools with ERP

Integrating BI tools with ERP systems involves combining the comprehensive data management capabilities of ERPs with the analytical prowess of BI tools. This integration can be seamless or involve custom setups depending on the ERP and BI systems in use. The goal is to leverage the data stored in ERP systems to produce insightful analyses and reports.

Data Flow in ERP

The data flow in an ERP system typically follows these stages:

  1. Data Entry: Users input data into the ERP system through various modules such as sales, inventory, finance, and HR.
  2. Data Processing: The ERP system processes the entered data, ensuring it is accurately recorded and updated across all relevant modules. For example, a sales order entry automatically updates inventory levels and accounts receivable.
  3. Data Storage: Processed data is stored in a centralized database within the ERP system. This ensures consistency and real-time availability across the organization.
  4. Data Extraction: BI tools extract data from the ERP system for analysis. This can be done in real-time or batch processes, depending on the integration setup.
  5. Data Analysis and Reporting: Extracted data is analyzed using BI tools, which can apply various analytical methods such as descriptive, predictive, and prescriptive analytics. The results are then presented through dashboards, reports, and visualizations.

 

 

Challenges and Best Practices in implementing BI and Analytics in ERP

Challenges

  1. Data Quality: Ensuring data accuracy and completeness can be challenging, especially with large and diverse data sets.
  2. Integration: Integrating data from multiple sources into a cohesive system can be complex and require significant resources.
  3. Scalability: As data volume grows, maintaining the performance and scalability of analytics processes becomes crucial.
  4. Skills Gap: Businesses may face a shortage of skilled data analysts and data scientists to effectively leverage analytics.

Best Practices

  1. Data Governance: Implement robust data governance policies to ensure data quality and security.
  2. Scalable Infrastructure: Invest in scalable infrastructure and technologies that can handle large data volumes and complex analytics.
  3. Continuous Learning: Foster a culture of continuous learning and improvement, encouraging employees to enhance their data analytics skills.
  4. Collaborative Approach: Encourage collaboration between IT, data analysts, and business units to ensure that analytics efforts align with business objectives.
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