Excel is a universal tool which may be used for any financial, analytical or statistical purpose. Check project's examples of business models, business intelligence dashboards and big data projects.

1. We will compute Your business

2. DiFrame is a team of specialists who gained experience when completing tasks in the following fields:
• Investment funds such as Private Equity and Venture Capital
• Start-up project management which resulted in the undertakings reaching break-even point
• Acquiring debt financing
• Business proces automation
about usWe will compute Your business
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DiFrame Sp. z o.o.

3. areas of activityFour pillars
Financial and business analysis
Market analyses, due diligence, company valuations and
prospectus.
01
Business Intelligence
Developing dashboard as well as reports which analyse
and visualise the current situation of the company.
03
BIG DATA
Developing methods and analyses of numerous large
data sets which may be applied in business in various
ways.04
Business plans and financial models
Analytical tools needed for investment projects and
business analyses.
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DiFrame Sp. z o.o.

4. DiFrame Sp. z o.o.
presentation
Description of two tools
developed for the
internet portal
Big Data
Characteristics
Business Intelligence
Description of business
models together with
visualisations
Business Model
Examples of tools
Financial Analysis
The content has been divided into four sections which aim at describing the scope of
services on the basis of implementation examples and which include PrintScreen shots
containing the following effects:
Content
4

5. excelThe most important tool
Simple
Effective
Available
Excel is a universal tool which may be used for any analytical purpose. The
performance of CPU on which it is installed may constitute a limitation. In such cases we
use Excel installed on a virtual machine within Azure cloud.
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DiFrame Sp. z o.o.
Option to import data from any database
Data preparation and export
Ease of use and simplicity of data visualisation
Use of DAX formulas
Relatively low licence cost

6. BIG DATA
Examples of projects related to ”Big Data” analysis where various large data sets were combined
with a view to obtaining key information

7. Big Data - marketingUsing data for marketing purposes
The Project assumed the use of all available data in order to develop a tool
supporting marketing activities by means of predictive analysis of
advertisement content which is desirable by users.
Project Goal
Precise database segmentation
Exporting data to marketing channels
Requirements
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DiFrame Sp. z o.o.

8. Big Data - marketingData sources used
4 million records updated monthly
in a non-relational and rapid
MongoDB Database
MongoDB
25 GB of data recorded in a
Relational MySQL Database
MySQL
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DiFrame Sp. z o.o.

9. Big Data - marketingData for marketing channels
Supporting
The most important marketing channels
With precise messages
The project required creating readymade lists of marketing content addressees in a quick
and precise manner so that said content may be forwarded to particular channels
Ad Server Double Click
Display-type campaigns
Email marketing
Big Data contributes to fundamental KPI
boost
Facebook and Instagram
Reaching target groups by creating
precisely defined Custom
Audiences
Google AdWords
HTML5 creative formats
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DiFrame Sp. z o.o.

10. Big Data - marketingCharacteristics of data used
Users analysis with the use
of Facebook.com data sets
Facebook
Data on the behaviours of
Playstation Network users
PlayStation Network
Users’ behavioural data
Mixpanel
Declared and
behavioural data
pertaining to portal
users
MySQL
Desirable data
downloaded and
put in the base
Google Analytics
Users’ data indicating their
shopping preferences and
XBOX Live
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DiFrame Sp. z o.o.

11. Big Data - marketingTools and methodology application diagram
Indicating target group
Specifying tagrger groups
Segmentation and
analysis
Processes designed to specify
particular accounts and their
preferences
Delivery
Marketing campaign implementation
Marketing
Developing messages and creative
formats
Verification
Analysis of advertising campaign
performance
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DiFrame Sp. z o.o.

12. Big Data - trendsLorem ipsum dolor sit amet consectetur adipiscing elit
The project aimed at developing a complex analytical tool for a shop operating
on an auction platform among 330 000 users. The tool is intended to predict
the market demand and specify the sales and buying-in prices. The key data
are that the shop frequently exchanges new goods for used goods as a
means of transaction settlement.
Project Goal
• Prediction of sales and buying-in prices
• Specifying a goods purchase limit and predicting the volume
• Predicting the market volume and the competition intensity
Requirements
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DiFrame Sp. z o.o.

13. Big data - trendsUsers’ preferences to be taken into account
This trend and therefore this factor has
a substantial influence on the prognoses
as the community independently
appraises the value of the products
Exchange with extra
payment
It is a crucial factor due to the need to
estimate the number of users who prefer
to buy or exchange second-hand
products quickly and thus to estimate
the supply volume and the price of
second-hand products for the remaining
users of the portal
Selling second-hand
Some portal users use its functionalities
to buy a new product. This phenomenon
is of particular nature and periodicity
which is dependent on publishers’
decisions and their marketing activities,
irrespectively of the portal operator
Buying new
In principle, the portal users exchange
goods in one to one model. This group
of users competes with those for
whom selling on the portal is the main
goal
Exchange
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DiFrame Sp. z o.o.

14. Big Data - trendsData sources
XBOX Live data show the purchasing
power of the portal users
XBOX Live
Just as in the case of XBOX LIVE data,
the downloaded data indicate the users’
purchasing power and their preferences
PSN
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DiFrame Sp. z o.o.

15. The estimated number of competitors
for the shop
Competition
Databases
Persons interested in a given product
because of their preferences and
behaviours, some of them will want to
sell or exchange the product
Interested parties
Specifying the market volume which the
shop will be able to serve with buying-
in/sales
Potential clients
Persons not interested in a given
product due to their preferences and
purchasing power. In future life-cycles of
the product some of them will show
interest.
Not-interested parties
Big Data - trendsUsers and competition segmentation
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DiFrame Sp. z o.o.

16. Business Intelligence
Examples of projects related to Business Intelligence where reporting and analysing tools were developed

17. Business IntelligenceReporting
Excel
Universal format available for
everyone
Unique solutions
Specifying expected effects
and visualising the
performance of those
effects
Productivity
Rapid and legible reports improve
productivity
Visualisation
Clear data and KPI presentation
Databases
Reporting based on each data set
Analysis
Option to search and indicate
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DiFrame Sp. z o.o.

18. Business Intelligence
Online currency exchange office
Precise
Business
Reports
Online currency exchange is a challenging undertaking due to
• Fierce competition
• Low margins
• Complicated processes of cash management which are spread over more than 100
bank accounts
• Necessity to predict client’s needs
Accuracy Promptness Automation
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DiFrame Sp. z o.o.

19. Business Intelligence
Online currency exchange office
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DiFrame Sp. z o.o.
Transactions analysis
Dealers’ effectiveness analysis
Margin analysis
Banking platforms analysis
Trends
„ BI is about providing the right data at
the right time to the right people so that
they can take the right decisions ”
Nic Smith
Microsoft BI Solutions Marketing

20. Business Intelligence
Accounting Systems
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DiFrame Sp. z o.o.
Division of clients
Dealers’ effectiveness analysis 2
Margin analysis 2
Transactions analysis 3
Partners’ performance analysis
„ BI is about providing the right data at
the right time to the right people so that
they can take the right decisions”
Nic Smith
Microsoft BI Solutions Marketing

21. Business Intelligence
Accounting Systems
Report
Indispensable
In every company
Online version Convenience Swiftness
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DiFrame Sp. z o.o.
Control of costs and revenues is essential in each and every company. Numerous large
companies register hundreds or even thousands of invoices monthly, be it for costs or
revenues.
Frequently, the accounting systems used render it difficult to view an indispensable
summary enabling the assessment of the profitability for particular projects.
The use of excel connected to the database of a chosen accounting system opens up
new possibilities for the management board in the scope of costs analysis and control of
expenditure.

22. Business Intelligence
Accounting Systems
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DiFrame Sp. z o.o.
Contractor mapping
Segmentation of categories and subcategories
Expenditure history for each project
Visualisation of cost history
Cost analytics
Available data segmentations:

23. Business IntelligenceWork performance analysis
Performance analysis
Monitoring and analysing employees’ work
It’s really the people who make a company what it actually is and they are the true driving force
of its success. That is why employing the right persons with appropriate skills is so important,
and so is their work performance analysis.
Appropriate tool developed in Excel enables verification of effectiveness and skills of individual
employees as well as whole teams.
The project consisted in developing a system to analyse the employees’ work performance. It
was intended to assess their effectiveness when performing particular tasks and to predict
possible staff shortage.
The undertaking aimed at devising a tool to analyse the time of preforming given tasks by
employees, unexploited potential of the employees and staff shortage in particular tasks.
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DiFrame Sp. z o.o.

24. Business Intelligence
Work performance analysis
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DiFrame Sp. z o.o.
Tasks segmentation
Analysis of task performance time
Timeline analysis
Day View
Individual employee analysis

25. Business Intelligence
Web Analytics Dashboard
Exceptional
Online
Statistical Report
Each internet portal which undertakes advertising activities and wishes to be
competitive, must have at its disposal a system for detailed analysis of its users.
Moreover, inquiries made by potential clients must be handled promptly and accurately.
A vast majority of portals uses data offered by Google Analytics.
A set of Dashboards was developed to connect to Google Analytics API and acquire
information which is not generally available from Google Analytics.
Dashboards additionally serve as calculators and data presentations for potential
clients.
Online version Convenience Swiftness
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DiFrame Sp. z o.o.

26. Business Intelligence
Web Analytics Dashboard
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DiFrame Sp. z o.o.
Age / Gender / Voivodeship / City
UU / Voivodeship / City
Devices / Country / Voivodeship / City
Country / City / Provider / Devices
Day of the week / Time / Sessions and BR
See a sample report
Available data segmentations:

27. Business Intelligence
Sales prognoses on the basis of IMS and PharmaProm
Prognoses
Based on
Data
A pharmaceutical company required tools and methodology for the analysis of sales
data acquired from PharmaProm and IMS.
On the basis of those analyses, sales prognoses were drawn up.
Service Convenience Swiftness
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DiFrame Sp. z o.o.

28. Business Intelligence
Accounting system
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Sales summary report
Regional sales value
Historical sales value
Product sales map
Sales trends viewed by regions
DiFrame Sp. z o.o.

29. Power BIAvailability
Reports directly
on your mobile
Thanks to Microsoft Power BI our dashboards are
always at your fingertips
Simple report adjustment in Excel for Power BI
Exceptionally low costs
Simple configuration
Possibility to connect additional data sources
Analysis of the factual use of the reports by employees
responsible for a given scope of activities
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DiFrame Sp. z o.o.

30. Business Models
Examples of projects related to Business Intelligence involving the development of reporting tools

31. Business ModelsMobile App
Mobile application
International market
The project consisted in developing a business plan for an investment project which was to be
carried out in cooperation with an investment fund financed by the National Capital Fund.
The undertaking aimed at devising a mobile application using a car’s OBD 2 and launch it in
international market.
One of the substantial assumptions of the project was to use cloud architecture, the cost of
which could significantly influence the margin.
It was moreover crucial to ensure the possibility to run business simulations which would take
into account the following:
• Development delays and MVP
• Dividing the investment into stages
• Currency exchange rates and all costs
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DiFrame Sp. z o.o.

32. Business ModelsMobile App
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DiFrame Sp. z o.o.
General parameters
Costs of AWS cloud support
Milestones for the development
Schedule of development tasks
Requirements related to the use of cloud resources
„ Business model is like architecture for
a product, service, and information flow,
together with the description of business
actors and their roles… ”
Maria Romanowska Piotr Wachowiak
Concepts and tools of strategic management
Warsaw School of Economics

33. Business ModelsMobile App
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DiFrame Sp. z o.o.
Defining the moment of starting MVP
Parameters of marketing channels
Marketing schedule
Defining conversion trends
Analysis of consumers’ behaviours
„ Business model is a method for
conducting business which ensures that
the company will survive i.e. that it will
generate profits…”
Maria Romanowska Piotr Wachowiak
Concepts and tools of strategic management
Warsaw School of Economics

34. Business ModelsMobile App
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DiFrame Sp. z o.o.
Defining clients’ loyalty
Analysis of currency-risk sensitivity
OPEX
Dividing the investment into stages
Project timeline

35. Business ModelsMobile App
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DiFrame Sp. z o.o.
Analytical tool – viewed by quarters
Analytical tool – viewed by years
Ratio analysis I
Ratio analysis II
Business Plan

36. Business ModelProfit Share
Profit Share Model
Cooperation of two entities
The project involved devising a tool for the purpose of performing financial simulations which
were carried out during negotiations concerning cooperation of two entities one of which
rendered advertising services whereas the other provided other services subject to 0% VAT
rate.
The subject matter of the negotiations included in particular:
• Discount level for advertising services
• Advertising campaign period
• Generated range of advertising targeted at a defined group
• Profit share in the percentage value together with specification whether it is gross/net value
• Additional parameter
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DiFrame Sp. z o.o.

37. Business ModelsProfit Share
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Negotiated promotion parameters
Negotiated additional parameter
Negotiated Profit Share parameters
Performance analysis for one of the parties
Business Plan

38. Business ModelVoD Service
VoD Service
CableTV Operator
Business model created to analyse a project which consisted in expanding Video on Demand
services for one of the largest Polish operators to include European and American content.
The business plan had to provide for the differences in terms and conditions preferred by the
providers concerning transaction settlement and use of resources.
It was also essential to perform analyses related to the fluctuations of currency exchange rates.
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DiFrame Sp. z o.o.

39. Business ModelsVoD Service
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EUR content parameters
Product parameters - second segment
Analysis of EUR currency-risk sensitivity
Analysis of USD currency-risk sensitivity
Performance analysis

40. Business ModelsVoD Service
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DiFrame Sp. z o.o.
Liquidity dynamics
Ratio analysis
Simulation version 1
Simulation version 2
Simulation version 3

41. Team
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About us
Marcin Mazur
CEO & Founder
Graduated from Warsaw School of Economics. His
career in Poland began in 2009 when he worked for
TVN S.A. carrying out internet projects related to VoD
market.
He worked for Supernova IDM Fund S.A. (private
equity) investment fund in the fields of:
• analyses and developing investment projects,
• performing due diligence on internet companies in
Poland and Ukraine
Marcin Mazur himself established a start-up company
Kantorino Sp. z o.o. which operates kantoris.pl website
rendering such services as B2B foreign exchange. The
main tasks in this project included:
• Negotiating cooperation terms with banks,
• Developing a business model,
• Designing and implementing an online foreign
exchange platform,
• Devising numerous processes and tools which
automated operational activities.
Thanks to him the company reached break event point
with total revenues exceeding PLN 2 500 000 000
His experience extends also over the following fields:
• managing a company cooperating with Orange
Polska in the scope of providing technologies
supporting over a million decoders,
• managing a website with over 330 000 active
accounts,
• supporting internet marketing channels,
• developing creative formats.
He is friends with Excel.
DiFrame Sp. z o.o.

42. Team
42
About us
Cezary Olszewski
Founder
Over 15 years of professional experience in the domain
of analyses and finances (worked for investment funds,
National Investment Fund, Private Equity).
Cooperated, among others, with:
• Simple SA,
• ERG-System SA,
• Imagis SA,
• Emapa SA,
• Supernova IDM Fund SA,
• Impera Capital SA,
• Calatrava Capital SA,
• Polmos Szczecin SA,
• Tell SA,
• Bioplanet SA,
• Fundacja Komunalna Sp. z o.o. [Communal
Foundation],
• Elkom trade Sp z o.o.,
• Mago SA,
• Setanta S.A.,
• Spartan Capital SA,
• Elemental Holding SA,
• Mex Polska SA, F
• First Class SA,
• Rubicon Partners Dom Maklerski SA [Brokerage
House],
• Zachodni Fundusz Inwestycyjny NFI SA [Western
Investment Fund]
DiFrame Sp. z o.o.

43. Team
43
About us
Jacek Skłodowski
Expert
Graduated from Warsaw University of Technology,
Faculty of Transport and is also a holder of diploma
granted by Business School at Warsaw University of
Technology.
He has 20 years of professional experience in business
consulting, corporate restructuring and finances. He
started gaining experience in the area of business
consulting when working for A&E Consult Sp. z o.o.
(current company name: PKF Consult) where he started
as a Consultant and eventually became the Director of
Economic and Financial Analysis Department. His key
clients were Poczta Polska [Polish Post Office], Daewoo
Group, Guyomarc’h G.N.A from France, to name just a
few.
As a member of management boards he conducted
restructurization of companies for a few years.
Restructuring processes conducted for Polmozbyt
companies, Polmozbyt Toruń Holding S.A. or Autonika
Holding S.A. as the President of the Management
Board, and Andropol textile group companies as the
Financial Director, count among his most prominent
successes. Moreover, he was appointed a Liquidator for
such companies as Polmozbyt Auto Sp. z o.o. or
Tkalnia Beskidzka Sp. z o.o. [Beskid Region Weaving
Plant].
For many years, he was the Financial Director for
companies of various sectors, for instance Polskie
Przedsiębiorstwo Wydawnictw Kartograficznych im. E.
Romera S.A. [Polish Enterprise for Cartographic
Publishing Houses], DT-4 Sp. z o.o. (road construction
company), Supernova IDM Fund S.A. (private equity
fund), IQ Partners S.A. (fund investing in innovative
start-up companies).
DiFrame Sp. z o.o.