Digital Business Masterclass:

Using Data analytics, Machine Learning and Artificial Intelligence approaches to develop company strategy

To whom:

21st century business leaders who are responsible for the future development of their business and organization.

Challenge:

Life is changing. Old goes away. New comes and takes over. Business is also changing. From the original Fortune 500 list of 1955, there are currently only 60 companies in it.

In search of directions for progress, we are increasingly finding out: "Digitize or Die". Digitization can improve Customer service, Productivity, Business scaling and other important aspects. However, it also brings new challenges.

What benefits can digitization bring? How much does it cost? Are we able to implement digitization? What data do we already have and what to do with it? How data usage improves business decisions? How to optimize customer service? How to visualize data? How to build the enterprise's digital culture? How to successfully implement digitization projects? How to build and renew strategies? Why "Digitize or Die"?

Answers to these and other questions you will find in the Digital Business Masterclass.

Goals:

N.B. This Masterclass is created for the business executives, not data analysts!

To help business owners and managers to:

See the new possibilities of the digital age;
Define precise tasks for digital and IT teams;
Evaluate realistically the contribution made by digital and IT teams.

Gains:

Enhanced ability to plan and implement digital transformations through:

A detailed understanding of digitization trends in the business environment in 21st century;
Examples and insights of digitization in Latvia and rest of the world;
Tools for project implementation, cost reduction, revenue increase;
Socializing and experience sharing with other business leaders;
Useful handouts for digital project implementation.

Registration fee:
1980 EUR + VAT

Place:
Mercure Hotel, Elizabetes street 101

Timetable:
17.00 – 18.30 practice
18.30 – 18.45 pause
18.45 – 20.15 practice

Dates:

Session - April 25
Session - May 02
Session - May 09
Session - May 16
Session - May 23
Session - May 30
Session - June 06
Session - June 13
Session - June 20
Session - June 27
Session - July 04

Digital Business Masterclass Lecturers:

Aldis Ērglis

An experienced business process, product and project manager demonstrated a history of working in the information technology, custom software development, and services industry. Skilled in business analytics, business planning, and operations management. Specialization in data analysis and advanced analytics, local community lead and data analysis enthusiast.

Top Skills:

Software Project Management
Business Analysis
Requirements Analysis

Experience:

Exigen Services, Senior System Architect
ELKO Group, Business Processes Development Director
FMS, Sales and Marketing Director
Lattelecom Technology, Head of Software development
MicroLink, Project manager

Santa Lemša

Experienced Advanced Analytics leader with 15 years fintech, insurance and market research background in international environment. Strategic thinker with strong knowledge base, great leadership and people management. Target oriented, team player with strong ability to communicate and execute analytical finding to business what results in additional profit.

Top Skills:

Analysis
Business Analysis
General Insurance

Experience:

SIA ROBOCASH, Chief Risk Officer (CRO)
4finance, Group Head of Data Science and Advanced Analytics
BALTA part of RSA Group, Head of Actuarial Department, Pricing Actuary
Factum Group (CEE network), Project manager
TNS Latvia, Head of Data processing Department, Data Analyst

Nikita Strezhnev

Currently managing big data and advanced analytics developments in retail industry. Qualified in data science, business intelligence, business analytics and customer insight. Specializes in transforming business questions to data solutions using a combination of communication skills and technical expertise. Contributor to local analytics community.

Top Skills:

Big Data Analytics and Data Science
Business Analytics un Business Intelligence
Analytics Automation

Experience:

Rimi Baltic Group, Data Analytics Manager, Consumer Insights and Analytics Project Manager
Aldaris, Part of Carlsberg Group, Business Analyst, Sales Analyst
MTBank, Credit Department Specialist

Program:
11 evenings/44 academic hours

DAY/HOURS	CONTENT/SUBJECT	HOMEWORK
1st evening (S.L.) PRINCIPLES 4 academic hours	Why “Digitize or Die”? Positive & negative examples. Does this apply to me? Elements of the Digital environment What position are we in? How to make progress?	Tool: How to identify charlatan in an interview? HW: Organization's digital maturity test
2nd evening (S.L.) BENEFITS vs COSTS 4 academic hours	The Benefits of Digitalisation projects What are the Benefits of Digitalization for Organizations? Costs of Digitalisation projects What do we have? What we need? How to reduce costs?	Tool: Principles of Cost/Investment Reduction HW: Company Report List
3rd evening (A.Ē.) DATA 4 academic hours	Data driven decisions What questions does the data answer? Interpretation errors and their elimination How to distinguish causation from correlation?	Tool: How much does wrong decisions cost? HW: Correlations as causations
4th evening (A.Ē.) DIGITAL DECISIONS 4 academic hours	Decision-making How to detect causations in practice? Causation development practical work Where are (or not) causations in my data?	Seminar work: Correlation vs Causation HW: Causation in the Customer service
5th evening (N.S.) CUSTOMER JOURNEY 4 academic hours	Customer Journey How to reduce costs and increase revenue through Customer Journey? Customer Journey data collection and practical use How data and Machine Learning helps in every Customer Journey step?	Seminar work: Costs/Revenue in Customer Journey process HM: Customer Journey in our Organization
6th evening (N.S.) REVENUE INCREASE 4 academic hours	Revenue increase from one client More consumption, wider offer, more frequent purchases – HOW? Proactive customer retention How to predict and proactively prevent a client from leaving?	Seminar work: How much can Organization financially gain from Customer Journey? M.D.: What KPI's are important in my Customer Journey?
7th evening (A.Ē.) REPORTS & VISUALIZATION 4 academic hours	Business Intelligence – what is it? How does the Data vary? What are the types of reports and content? Data visualization techniques How to create reports and dashboards?	Tool: Report effectiveness evaluation Seminar work: How much does wrong reports cost? HM: Data preparation for data stories
8th evening (N.S.) INTERPRETATION & USAGE 4 academic hours	Data interpretation and mistakes Story-telling through data Business Intelligence done simply How to do complex BI by yourself?	Tool: Translation mistakes Seminar work: How to cheat with data? HM: Data story
9th evening (S.L.) DIGITALIZATION PROJECTS 4 academic hours	Digitalization project planing How to define project, collect data and analyze it? Project implementation challenges How to implement, monitor and maintain good ideas into practice?	Seminar work: Project progress & Analysis HM: Repeated digital maturity test
10th evening (S.L.) DIGITAL CULTURE 4 academic hours	Organizations and their internal readiness for digitization How to test interal readiness? Digital readiness improvement How to organize internal processes and data management?	Seminar work: Digital culture elements HM: Current/Planned strategy components
11th evening (A.Ē.) DIGITAL STRATEGY 4 academic hours	Formulating Digital strategy Who is participating? What should be (and should not be) in the content? Digital strategy actualization How to design digital road-map?	Seminar work: Creating a Digital strategy Seminar work: Digital road map stages

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