IBM Planning Analytics

IBM Planning Analytics

• IBM Planning Analytics is a tool for planning, predicting, and achieving success.
• The Analytics Lifecycle includes optimizing business decisions, creating accurate plans, budgets, and forecasts, reporting and monitoring data, analyzing contributing patterns, and developing, deploying, and managing models.
• Successful organizations start with a plan, defining goals and objectives, setting up timetables, establishing targets, and projecting impact.
• Gathering relevant data is essential, pulling data from across the organization from disparate sources, making the data available to decision-makers.
• Analyzing and evaluating trends and patterns, and identifying successful ones as well as alternatives for necessary development is critical.
• Implementing and monitoring involves collaboration, comparing budgets to actuals, communicating status, and iterating on the plan.
• Reacting and adjusting to the market, including making appropriate changes and corrections with tracking and performance monitoring.
• Spreadsheet-based planning has advantages due to its ease of understanding with general acceptance and flexible use.
• Its weaknesses lie in manual processes and analytical silos, leading to multiple versions of the truth, making it difficult to maintain and secure, making it problematic.
• IBM Planning Analytics offers agility by adjusting plans and forecasts in real-time.
• It enables collaboration by synchronizing processes and data among departments.
• It offers acceleration by condensing planning, forecasting, and analysis cycles, and gaining real-time insights for informed decision-making.
• IBM Planning Analytics helps in various areas including Finance, Supply Chain, Sales, Workforce, Marketing, IT Planning, and Sustainability.
• Multivariate AI Forecasting allows forecasting, understanding of interdependencies, and analyzing scenarios. This results in more reliable forecasts, enabling timely adjustments in order to meet business goals.
• Continuous, integrated financial planning allows financial plans that reach beyond the fiscal year, with AI-enhanced forecasts and visualizing insights into action.
• Easy data crunching and visualizations translate insights into actions.
• AI-powered supply chain processes enable end-to-end visibility and streamlined planning across the organization, optimizing performance and agility.

Use Cases

• Continuous integrated financial planning and analysis assists in accurate plans and consistent delivery and visualisations translate insights into actions
• AI-powered supply chain processes provide end-to-end visibility, making processes responsive and resilient
• Agile workforce planning and forecasting streamlines HR processes, allowing real-time visibility, helping optimize costs, and increasing employee productivity.
• Agile marketing planning solutions offer a deeper understanding of the target audience to unlock insights for more cost-effective marketing.
• Simplifying IT planning allows for thorough project management, enabling resource tracking, cost management and visibility.
• Sales planning and forecasting allows for improved sales rep performance tracking, and capacity data in real-time, while making use of AI to optimise key performance indicators, generate leads, and drive new business.

Cognos Analytics Practice

• Connecting the data warehouse (GOSALESDW) to Cognos Analytics in order to create a brief report.
• Data source connections
• Data analysis
• Local, regional, and country-level sales target metrics

Business Scenarios

• A scenario related to business analysis, identifying specific areas for improvement, identifying trends, and optimizing production and marketing processes, leading to increased profitability and market exposure.
• Focuses on customer insights, market analysis, and product analysis to deliver strategic planning solutions to meet organizational changes.

Az IBM Planning Analytics egy eszköz a tervezéshez, előrejelzéshez és a siker eléréséhez. Az elemzési életciklus magában foglalja az üzleti döntések optimalizálását, pontos tervek, költségvetések és előrejelzések készítését, valamint az adatok elemzését és modellek fejlesztését.