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 A data warehouse, also known as an enterprise data warehouse (EDW), is a system that stores and analyzes data from multiple sources. Data warehouses are used for reporting and data analysis, and are considered a core component of business intelligence. Case study:  Trends, an affordable fashion & lifestyle retailer which operates more than 2,300 stores in over 1,100 towns and cities across India. They might have goods stored in different warehouse, They might have enterprise application to track the goods in warehouse and analyze them for improving their business. A data warehouse has four main components: refer above diagram Central database: ETL (extract, transform, load) tools Metadata (Data sources) Access tools  Some examples of data warehouses include: Snowflake Google BigQuery Amazon Redshift Azure Synapse Analytics IBM Db2 Warehouse Firebolt  Benefits of Data Warehouse: Understand business trends and make better forecasting decisions . Data Warehouses are designed to perfo

An Agile release plan acts as a project's map, providing context and direction on product goals, vision, and expectations.  According to a report published by PMI, the most common factor in project failure was a lack of clearly defined goals, so for product managers, nailing the planning stage is crucial. Agile release management is a project management methodology that aims to deliver software features to customers safely and quickly in a sustainable way. It involves dividing the development into iterative sprints, each with a specific scope and time frame. Here are some steps for creating an Agile release plan: Define your vision Rank the product backlog Hold a release planning meeting Estimate the release Determine the number of sprints Create a release sprint Identify a target date for the release Update the release plan continuously Release plan phases: Release plan (incremental phases):

A technical delivery manager (TDM) is responsible for the delivery of technical products or services to a client or customer.  They work with a team of professionals to ensure that the technical delivery is completed on time, within budget, and to the required quality standards.  TDMs are an important part of agile development teams. They use their skills in communication, administration, leadership, and technology to remove obstacles that could delay the completion of a product.  A delivery plan typically includes the following elements: Technical responsibilities of a technical delivery manager: Other responsibilities of a technical delivery manager include: Client based projects Client liaison Pre-sales Cross-functional development Project planning Milestone management Scope management Resource forecasting Financial management Change management across the project portfolio

List of metrics for software development / Metrics for software development KPI: A software metric is a measurement of quantifiable or countable software characteristics. Software metrics are essential for various purposes, including measuring software performance, planning work items, and measuring productivity 1. Team Velocity Team Velocity measures the number of story points, quantifying the number and size of product features, completed by the team in the previous sprints. It helps to understand how much value the team is providing to customers in a given time period. 2. Application crash rate The application crash rate is the result of how many times the application fails divided by how many times it was used. It reflects the business value delivered and the cost of remediating failures. 3. Code churn Code churn is a common metric used to measure the efficiency and productivity of software engineers and computer programmers. It's usually measured as the percentage of a program

Salesforce Service Cloud is a customer relationship management (CRM) platform that helps Salesforce clients offer service and support to customers . Service Cloud offers a unified workspace with tools to support customers on any channel. It can help with: Service Process Management: Deliver personalized service and support to customers across any channel Field Service Management:  Resolve issues remotely and boost first-time fix rates Swarming with Slack: Collaborate to solve cases and complete field service requests faster Automate service processes: Streamline workflows and find key articles, topics, and experts to support customer service agents Case tracking and social networking plug-ins: For conversion and analytics Web-to-Case: Create a new case automatically in Salesforce whenever a support request comes directly from your company's website  Salesforce Service Cloud has different features that businesses can involve in their service and support practices to ensure smooth

Customer relationship management (CRM) is a process that helps businesses manage their interactions with customers. CRM tools support functions and processes for marketing, sales, and customer service.  CRM tools help companies: Organize, record, and enable action with customer data Track and advance customers along every stage of the buying journey Stay connected to customers Streamline processes Improve profitability Accelerate their lead-to-deal cycle by running targeted and personalized marketing campaigns Operational CRM: An operational CRM system is a centralized system that combines functions for sales, marketing, and customer service . It's designed to improve routine business operations and store data on all business activities with customers and prospects. Analytics CRM: Analytical CRM systems gather and analyze user data to help companies manage their customer relationships. They handle strategy, analytics, and other functions that aren't directly related to custom