Advanced Analytics & BI

In this training you will learn how you can systematically tackle the subject of digitization, and advance digital processes in your organization. You will learn the steps you need to take to establish a digital workplace in Controlling, and how the integration of digital strategies linked with all business processes can be successful.

• The digital transformation – status quo and challenges: Current trends, new products, services and business models, and technologies
• Challenges of digitization for business management/Controlling Potentials and opportunities; implications for the role of the Controller, the organization, processes and structures
• The information content of data: Data granularity, data quality, data management, use of new (external) data sources
• Starting points for a digitization strategy

In this training you will learn which requirements apply for the use of Predictive Analytics and Machine Learning/AI, and on that basis, their possible uses in Controlling. In addition, you will find out which methods and procedures are constructive for Controlling, and how you can assess their practicability.

• Fundamentals of Predictive Analytics & Machine Learning/AI: Mindset change (data thinking, data discovery, data wrangling, data cleansing), Business Intelligence vs. Advanced Analytics, areas of use for Advanced Analytics: Descriptive, predictive, prescriptive, cognitive
• Company-specific design variants of underlying data for predictive analytics: Obtaining, preparing and bringing together raw information, overview of underlying methods (supervised, unsupervised, and reinforcement learning)
• Algorithms/procedures and case studies: Correlations, K-nearest neighbor, naïve Bayes, decision trees, regressions 1, cluster

In this training you will learn about the wide range of possibilities and opportunities offered by the use of Big Data and Business Intelligence for your reporting, and the requirements and demands that need to be met in the company. You will also learn how to understand your data using analytical procedures, and how to use those data for strategic objectives. The objective of the seminar is that you will be able to provide high-quality support for useful and efficient decision-making by company management using meaningful charts and dashboards.

• Requirements and demands for BI & Big Data implementation in companies: IT landscape, architecture and infrastructure, skills and organization in the company, establishing BI and Big Data expertise
• Design variants for underlying data: Obtaining, preparing, bringing together raw information, design approaches for company-wide architectures (enterprise, data warehouse, and data mart architecture, hybrid BI and Big Data architectures, and metadata)
• Design variables for data analysis: Portraying and designing performance indicators (KPIs); dashboards, standard reporting, ad-hoc reporting, OLAP analysis, visual analytics, and exploratory data analysis

In this training you will learn how to optimize your planning, budgeting and forecasting through the use of Business Intelligence and Advanced Analytics. The focus here is on information-based approaches to support planning, as well as the integration of strategic and operational planning. In addition, you will gain an overview on the use of standard software in the area of planning. The training will be completed with a perspective on predictive forecasting – the integration of data-supported, driver-based simulations and forecasts.

• Content-related, procedural and methodological requirements for advanced planning & forecasting solutions
• Structured roadmap for the modernization and digitization of planning & forecasting
• Established best practices relating to the optimization of planning & forecasting
• Deep dive: Implementing and automating driver- and scenario-based objectives using detailed practical examples
• Software selection as an essential success factor and market overview of planning tools (SAP and non-SAP)
• Current digitization potentials (technologies and use cases)
• Example “digital forecast” project cases
• Expansion of the market overview through addition of innovative digital tools
• Agile and classic methods in the implementation of planning and forecasting solutions

In this training you will learn about possible uses available to you in business management through the use of Predictive Analytics and Machine Learning/AI. You will also find out how to perform advanced data preparation and transformation. In addition, you will also be able to compare and respectively optimize the individual models, and will be able to assess the benefit of Machine Learning/AI.

• Algorithms/procedures and case studies: Artificial neural networks, support vector machines (SVM), ensemble learners, anomaly detection, regression 2, deep learning
• Creating and evaluating models: Advanced data pre-processing and transformation as well as quality criteria, sampling, weighting, feature selection, comparison of models, and optimization of parameters/models

In this training you will have a comprehensive introduction to the concepts and methods of data analysis and presentation. Focused on “self-service BI”, functions and possibilities that enable efficient reporting will be examined. In the training practical implementation with SNP Analytics Cloud plays a central role. In this way, you will gain an overview of the various approaches to timely and effective reporting, particularly in view of digitization perspectives. You will become familiar with automated solutions, in the sense of robotics that offer important opportunities for increasing efficiency.

• Fundamentals of reporting & dashboarding (including data integration)
• Established best practices in reporting: Standard reporting, edited dashboarding, self-service BI, and mobile BI
• Advanced visualization of reporting & dashboard content
• Digitization in reporting: Advanced Analytics, Robotics and Artificial Intelligence