Kyiv_Office_Development_H2_2019_09262019

projects with average billable utilization rate of 68% during H1 FY19-20; some of the main projects have been run by local managers

Headcount
46

Grade Pyramid

Turnover
18%

NPS
-14

Specialists groups

Age groups

Gender

Education

Non-CAP
Utilization
79%

Project types

By specialist group

By grade

By specialist group

By grade

Projects #
26

H1 FY19-20

Billable Utilization
68%

Consultant

Engineer

DS

NPS by specialist

there is a high level of uncertainty within the team regarding future opportunities and career growth

NPS

total

NPS

by group

-50%

-14%

+31%

How likely are you to recommend Fractal (Kyiv) to your friends and family to work with us?

there is a high level of uncertainty within the team regarding future opportunities and career growth

I am satisfied with my current level of salary

I have clear understanding of my career or promotion path

?

Hypothetically, if you were to quit tomorrow, what would your reason be?

consultants into Fractal projects & communication flow…

NPS

?

Do you foresee yourself working here one year from now?

?

Do you believe you'll be able to reach your full potential here?

?

If you were given the chance, would you reapply to your current job?

have clear vision on their professional growth

Consultants

Data Scientists

the ability to efficiently use existing resources and grow new capabilities

CPG department

team performance; it does not allow to effectively develop capabilities, grow and expand employee skills

Consultants - 12

Engineers - 2

Data Scientists - 1

Data Scientists - 10

Consultants - 6

Data Scientists - 3

Engineers - 4

Current tracks

Managers - 1

Managers (QA) - 1

Capability

Domain

Tatyana Popova

Dmytro Maliarenko

Pharma

Direct Selling

Industry

CPG

of specialists’ skills, development of existing and new capabilities and enhance overall performance

Data Analyst (temporary position) - 3

Andrey Antonenko

expand domain knowledge expertise and project types, bring existing analytical solutions to the market

(low to mid), SQL/R/Python (low to mid), SPSS (low to mid), Nielsen Answers/Adviser mid), Wordpress (mid), Agile (mid), AI/ML (low to mid)
Expertise: Problem-solving and insights generation, business analysis, project management, client communication, design

Tools: MS Office (advanced), Tableau/ Power BI (advanced), SQL/R/Python (low to mid), UI/UX, Nielsen Answers/Adviser, AI/ML (low to mid)
Expertise: Problem-solving and insights generation, business analysis, prototyping dashboards, design

Tools: SQL/R/Python/ C/C++, Java; NumPy, SciPy, Pandas, Scikit-learn, statsmodels, matplotlib, seaborn, plotly; PyMC, SPSS, Tensorflow, Keras
Expertise: Building analytical, statistical, machine learning and probabilistic models

Tools: Python, C/C++, C#, VBA, SQL, Django, R, Angular 2/4, JavaScript, CSS3, Node JS, HTML5, STL, OOP, Design Patterns, UML, Type Script, PHP, HTLM, Java
Expertise: Analytical and ML tools, analytical software development & deployment (front-end and back-end, incl. testing and PM), software architecture design

To nurture: Client engagement, AI/ML, new domain knowledges, cloud technologies

To nurture: QlikView/Spotfire, UA/UX, AI/ML, domain knowledge

To nurture: state of the art ML/DL algorithms; Cloud Computing, Distributed Computing, NLP, CV

To nurture: Cloud technologies, Data engineering

Close cooperation and involvement of Kyiv team in different Fractal projects across the accounts will allow to develop new skills

EXISTING

NEW

SKILLS

domain knowledge of current employees through close cooperation with Fractal domain experts and leverage their skills across different client functions and industries

Colgate, Unilever, RB, P&G, J&J, Mondelez, SC Johnson, Danone, Hain Celestial, Mead Johnson, Mars, Kellogg, Hormel,
Smucker’s, Del Monte, Purina, PepsiCo, Coca Cola, Red Bull, Walmart, Johnsonville, etc.

Chattem, Bayer, Merck

Flack Steel,
Cox Automotive,
Whirlpool, Viega, Intuit

AVON

SOCIAL MEDIA

E-COMMERCE

EXISTING

NEW

DOMAIN KNOWLEDGE

with full in-house capabilities for forecasting, P&P projects and analytical solutions software engineering and development

P&P

Forecasting

SRM

Strategic

Business

Operational

Level:
category/market;
Drivers-based & ML/AI:
Possible Outputs: forecasts, due-to driver decomposition, simulators & “what-if scenarios”;
Possible Delivery: forecasts, code, in-house customized tools development

Level: SKU/account;
Drivers-based: controllable (price, distribution, trade activities, etc.) and uncontrollable (seasonality, competitor activities, etc.);
Possible Outputs: optimal discount depth, frequency, offer types, unprofitable offers, etc.;
Possible Delivery: insights & recommendations, code/model, in-house customized simulation tools development

brand/channel;

SKU/channel;

macro drivers (economy, demographics, consumer, etc.) & category drivers (category development, distribution, pricing, marketing support);
macro drivers & category drivers (marketing and trade spend, pricing action, innovation, distribution);

controllable (price, distribution, trade, discount, offer types, etc.) and uncontrollable (economy, weather, seasonality, etc.);

Analytical software development

Complete cycle of In-house development of analytical software solutions:
MVP,
solution architecture designing,
back-end, front-end, DB and user management modules,
PM, costs estimation, business analysts;
deployment, operationalization & support.
Team: PM, back-end and front-end engineers, data engineers, tester, BAs

POWER BI DASHBOARDS

CLOUD DATA ENGINEERING

OPTIMIZATION TASKS

EXISTING

NEW

AutoML

PROJECTS

decision support system
Business user:
Demand planners
Client: Avon
Status: Ongoing support

Description:
1) SKU level seasonal simulator; 2) Category/segment level forecasting tool
Business user:
1) Demand planners;
2) Global strategic planning
Client: Mars, Mondelez
Status: Draft working version available

Description: MINE.
Marketing Mix strategy tool
Business user:
Pricing team
Client: Fractal. IME
Status: Ongoing support & enhancements

Kyiv software engineering, data engineering and DS teams have already more than 5 years of experience of in-house analytical solutions development from initial stage to deployment, operationalization and support

EXISTING

NEW

Description:
Automated machine learning forecasting platform (demand/sales/revenue)
Business user:
Data Scientists;
Supply chain planning division
Client: Fractal CPG: Embed AI - AI Forecasting
Status: Development stage

ANALYTICAL SOLUTIONS

set of processes and practices that should be launched and supported going further

1. Current state analysis: - Resources;
- Utilization;
- Productivity.

Aug’19

Sept’19

Oct’19

Dec’19

Jan’20

Feb’20

Running first iteration

Revise & update

2. Operational & Strategic planning:
- Strategic;
- Operational.

Developing initial plan

3. External communication (with Bhaskar’s support):
Account leads & sales team (Mars);
Domain experts (Supply chain, Financial services);

Develop and execute action plan

Establishing primary contact

4. Internal communication (Kyiv team):
Share the vision and plan;
Involve team into discussion;
Work closely inside specialist groups.

Execute & update

Developing communication plan

5. Increase employee engagement:
Individual career growth approach;
Clear salary & promotion policy;
Decrease market gap.

Execute & update

Developing initial plan

to cover project specialist demand

Specialists role approach** (HRMS)

**long term solution (9-12 months)

Power BI Dashboards

Forecasting Tools

Dedicated teams approach (project role)

Capability: turn-key projects of Power BI dashboards development.
Dedicated team: 2+ Specialists: VC, DE (for big projects DM)

Capability: turn-key projects of forecasting tools development.
Dedicated team: 3+ Specialists: DE(s), ENG(s), DS(s), DM.
Individual professional approach іs a possible option

New organizational structure

that refers to an agreement between the client (Fractal) and service provider (Kyiv office), when the latter provides group of professionals to the client on a long-term basis. These specialists are chosen according to the demands of the client for their experience and skillsets.
Characteristics of DT:
Can be managed by Fractal PM or/and Kyiv DM.
Dedicated team model pricing system: there are monthly payments that depend on the team size.
Best suitable when the scope of the project could not be strictly defined, and requirements can be changed during the development process. It perfectly suits a dynamic project with changing requirements and tasks, but defined end goal.
The main purpose of this model is to hire a team that will compensate for the lack of necessary expertise and will work seamlessly.

Advantages of the Dedicated Team model:
Predictable and defined budget
Full control over the management of the team
Dedicated team members have a deep understanding of the client’s project and business goals
Continuous communication with the team through everyday communication
The team is stable and is fully dedicated to the client/capability/project types

Disadvantages of the Dedicated Team model:
Inefficient for short-term projects (several weeks)
Crewing takes time
Team management also takes time
The value proposition of the team should be clearly identified and communicated to the client

New organizational structure