Dive into the world of data in an engaging training that demystifies complex concepts, helps you understand the importance of data in today’s business and equips you with the skills to harness data-driven insights.
By the end of this course, participants will:
- Create awareness about major data concepts and its importance
- Understand how data can be used in best capacity in your organization
- Become empowered with data leadership perspectives and strategies that work in the real world
- Learn How BI can support your business and help you capitalize on opportunities
- Gain general understanding on Machine Learning and AI and its use
- Develop the business centric perspective that separates the good from the great
- Go thru real-life examples that other companies are using and benefiting out of it in different business areas (e.g. commercial reporting, working capital, finances, HR, business performance management)
- Have a chance to work with lecturers speaking from its own experience after numerous data projects implementations
Who should attend?
Middle management and specialists in following functions:
- Finance and Controlling,
- Supply chain and Purchasing,
- Marketing, Sales and Commercial, HR
- Top management in SME and entrepreneurs.
Agenda
Part 1: Data – Let’s change perspective
- Introduction
- Data strategy
- Data literacy and Data culture
- Business Intelligence and Data analytics
- Machine learning and AI
Introduction
- Importance of data and global growth trend of data
- Where is data coming from and how it is processed and stored
- What is Data analytics and Data science
- Business Intelligence and Business Dashboard
- Data architecture and Data models
- Who is doing what – data analyst, data scientist and data architect
Data strategy
- Components of data strategy and its importance
- How to design data strategy that fits your needs
- Usual roadblocks and how to avoid it
Data literacy and Data culture
- Data literacy and its importance for the business
- Keys to building data literacy
- How to create data culture and organizational data literacy
Business Intelligence and Data analytics
- Business Intelligence and it’s use
- Problems that BI solves
- Types of analytics
- Usual use cases in business
- From data collection to data storytelling
- Data projects and how to succeed
- Principles of data visualization, good practices, and what to avoid
- Future trends in data
Machine learning and AI
- Programing languages
- Mathematics needed
- Data preparation
- Machine Learning algorithms
- Machine Learning libraries
- Generative AI and Data analytics
Part 2: Data in action – Real world use cases
- Commercial reporting
- Working capital analytics
- Finance analytics
- Business performance analytics
- HR analytics
- Exercise
Commercial reporting
- Sales and margin dimensions (products, customers, territories, salesforce, etc.)
- From simple to complex: trackers, trend analysis, variance analysis and price volume vix analysis
- How to combine Sales, Margin and Operational KPIs to identify business opportunities
- Pricing analytics
Working capital analytics
- Inventory turnover and aging analysis
- Customer analysis and cash flow improvement
- Supplier analytics
Finance analytics
- How the P&L of future looks like or 360 degrees P&L
- Financial modeling and real time simulations
- Other data applications in Finances
Business performance analytics
- Strategic pillars and KPI trees (finance, operations, HR, green agenda, customer centricity, etc.)
- Power BI cards for KPI purposes
- How to connect leading and lagging KPIs in analytics context
HR analytics
- Employees distributions and general
- Turnover analytics
- Salaries reporting
- Time and attendance analytics, overtime and workload
- Absenteeism analytics and vacation reporting
- Employee performance and evaluation
- Trainings and employee competency roadmaps
Exercise
Identification of opportunities for sales and margin improvement, proposal of action plan and follow up actions
Lecturer
Nemanja Djerkovic,
ACCA
Nemanja Djerkovic has over 15 years of experience in auditing, consulting, and CFO roles across both national and multinational business landscapes.
Nemanja has spent part of his career at PwC and S&P 500 companies, where he was responsible for organising financial functions as well as various projects and initiatives including product assortments optimisation across numerous countries, product line transfers, growth initiatives, pricing optimisation, the rollout of decision-making tools and restructuring programmes. In addition to his corporate experience, Nemanja has been a lecturer for over 10 years on the Finance & Accounting module of PwC's MBA Programme and other finance related topics within the PwC’s Academy portfolio of courses.
Currently, as a founder and partner in Growius, Nemanja specializes in business and financial consulting with a strong focus on applied business analytics and decision-making in various areas, including Sales & Commercial, Finance, HR, Production, Logistics, and Marketing. Nemanja is dedicated to helping clients transition into data-driven organisations, leveraging analytics to drive informed and impactful decisions.
Programme information
- Timeline
- Price
- Additional information
Timeline
Trainings takes place: 30 October 2024 (10:00 - 14:00 EET)
Price
Cost of participation: 300 Euro (excl. VAT)
Additional information
Workshops are conducted in English (live-online).
Contact us
Trainer, Senior Manager, MBA, CFA, ACMA/CGMA, CIA, PwC Poland
Tel: +48 519 062 937
