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.
This document discusses using Microsoft Excel 2013 and Microsoft Access to create an offers bank decision support system (DSS). It proposes a 4 phase approach: 1) Create a database and star schema using Access, 2) Fill the database with data by defining dimensions and measures and retrieving data in Excel, 3) Create a dashboard in Excel, 4) Analyze past trends and predict future trends using data mining. The document also provides background on business intelligence solutions and reviews literature on using BI to turn raw data into meaningful business insights.
Data science and business intelligence market forecast for 2022Russ Reinsch
Modelling these two industries as a whole suggests that generally, BI products will lose market share to data science products.
Deeper analysis suggests that "self service" BI products will lose the most market share to "self service" data science products.
B2B Ecommerce through Magento and how integration will helpAPPSeCONNECT
It has been a great year for B2B E-commerce and it is important to keep an eye on the digital and technology trends to embrace the success you want for your business.
The purpose of this webinar was to bring forward the amazing B2B capabilities of Magento and how integration with back-office systems / ERP will help your business become more efficient.
We covered:
· B2B Digital Commerce Trends
· Assessing your needs / How to create a MoSCoW list
· InSync Magento / SAP Business Connector
· Featured Case Study
For more such webinars, please keep an eye on:
http://www.appseconnect.com/webinars
MicroStrategy BI Solutions for Retail IndustryBiBoard.Org
MicroStrategy provides business intelligence solutions for retail companies. It has over 20 years of experience in BI software and is the largest independent public BI vendor. MicroStrategy supports over 300 retail companies worldwide, including 8 of the top 10 global retailers. The document provides examples of how various well-known retailers like Ahold, Hallmark, GUESS, Netflix, METRO Group, Ross Stores, Whole Foods Market, and Lowe's use MicroStrategy's solutions for store operations, customer analytics, merchandising, and vendor collaboration. It also discusses how MicroStrategy helps retailers address trends in analytics, cloud, big data, and mobile technologies.
This document shows examples of Principle’s capabilities and deployments using CRM data and integrations with marketing technology tools.
This document is for marketers responsible for either managing customer facing communication, paid media budget, own media campaigns, and/or analytics.
The slides are arranged in the following sections:
1) CRM Data Integrations & examples of deployment
2) Use Case: Growing customer LTV with integrated CRM and Web Analytics data
3) Example Dashboards & Data Visualization
4) User level multi-touch attribution analysis
ATG is an e-commerce application created in 1991 that was later acquired by Oracle in 2011. It provides a highly scalable and flexible architecture for web commerce. ATG contains various components for commerce, merchandising, search, shopping, checkout, promotions, order processing, reporting, and customer support. It enables personalized sales and marketing across channels and devices.
DiFrame jest zespołem specjalistów którzy nabyli doświadczenie podczas realizacji zadań między innymi:
Dla funduszy inwestycyjnych typu Private Equity oraz Venture Capital
Zarządzeniu projektami typu start-up doprowadzając przedsięwzięcia do break-even point
Pozyskiwaniu finansowania dłużnego
Automatyzacją procesów biznesowych
Treść została podzielona na cztery sekcje starając się opisać zakres usług na wdrożeniach wraz ze zrzutami ekranu zawierających poszczególne efekty:
Big Data
Business Intelligence
Modele Biznesowe
Analiza Finansowa
Wszsystkie narzędzia zostały przygotowane korzystając głównie z Microsoft Excel
This document outlines common causes of errors in financial models, including arithmetic calculation errors, using incorrect sum formulas, large formulas, circular references, hardcoded variables, manually calculating dates, inconsistent decimal/percentage styles, and source file errors. It encourages further queries on Facebook or YouTube channels related to Excel advice.
The document presents information on iOS, the operating system developed by Apple for its iDevices. It discusses the history of iOS, noting it was derived from OSX and developed by Apple. It provides screenshots and describes key features of iOS like the App Store, Safari browser, ability to update iOS wirelessly, support of Retina display, use of iCloud for backups, security features, and international compatibility.
The document is a tutorial for using Microsoft Excel. It provides step-by-step instructions on how to navigate the Excel interface and use basic functions. The tutorial covers topics such as navigating the Excel screen, entering formulas and data, formatting worksheets, creating charts, and using keyboard shortcuts. It also includes explanations and instructions for common Excel tasks like opening and saving files, editing data, printing worksheets, and more.
El emprendimiento se define como la forma de pensar, sentir y actuar para iniciar un proyecto identificando ideas u oportunidades, buscando crear o formar algo nuevo.
Este documento presenta conceptos básicos de estadística y probabilidad. Explica que la estadística se encarga de recoger, analizar e interpretar datos de una muestra representativa de una población. Detalla los pasos para realizar un proceso estadístico como la recolección y análisis de datos, y la representación gráfica de los resultados. También define términos como población, muestra, variables cualitativas y cuantitativas, y frecuencias absolutas y relativas para describir los datos estadísticos
Los polímeros son moléculas gigantes formadas por la unión de miles de moléculas más pequeñas llamadas monómeros. Pueden ser naturales u obtenidos artificialmente, y tienen diversas propiedades y usos importantes debido a que adoptan diferentes estructuras. Se clasifican según su origen, composición, estructura y comportamiento ante el calor.
El documento proporciona una lista de actividades de ocio como tocar la guitarra, viajar, ir al cine y dar un paseo. Luego explica los diferentes momentos del día en inglés como por la mañana, por la tarde y por la noche. Finalmente, presenta algunos adverbios comunes de frecuencia en inglés como siempre, a menudo, a veces, normalmente y nunca junto con sus traducciones al español y cómo se usan en oraciones.
El documento describe un examen especial realizado a los ingresos y gastos de Proyeconsul CIA. Ltda. durante el período de enero a diciembre de 2013. El objetivo del examen era determinar la razonabilidad de los saldos de ingresos y gastos mediante la aplicación de procedimientos de auditoría. El examen buscaba identificar posibles errores o deficiencias y dejar recomendaciones para mejorar el control interno de la compañía.
Este documento describe diferentes tipos de virus informáticos como de arranque, gusanos y troyanos, y cómo los antivirus detectan y eliminan los virus al revisar archivos y limpiar los sistemas infectados. Los virus de arranque se alojan en sectores de arranque y se ejecutan al leer discos infectados, los gusanos se propagan a través de redes para consumir recursos hasta colapsar sistemas, y los troyanos permanecen ocultos en programas legítimos para activarse de forma engañosa.
Este documento presenta información sobre la diabetes mellitus y sus actualizaciones. Resume datos estadísticos sobre la prevalencia y tasas de conversión de la prediabetes a diabetes. Explica la clasificación y diagnóstico de la diabetes y prediabetes. Además, discute las recomendaciones de expertos para el tratamiento de la prediabetes y diabetes, incluyendo cambios en el estilo de vida y nuevos fármacos. Finalmente, resume los tipos de insulina y criterios para la insulinización.
La tarjeta madre es el componente principal de la computadora, donde se conectan todos los demás componentes como la CPU, memoria y tarjetas de expansión. La CPU o procesador es el cerebro de la computadora y se encarga de procesar la información. La memoria RAM almacena temporalmente datos e instrucciones para la CPU, mientras que la memoria ROM almacena información de arranque permanente. El disco duro almacena de forma permanente los programas y archivos de usuario.
COFRANI 2014: PRESENTACIÓN DE OBJETIVOS Y ACTIVIDADESLuz María Ricse
Con el lema: FAMILIA ISABELINA EMBARCATE Y SÉ TESTIGO, los niños y niñas inician COFRANI 2014, donde juntos dirán:
SOMOS LOS NIÑOS FRANCISCANOS, SOMOS MARINERITOS DE DIOS, SIEMPRE FELICES NAVEGAMOS, LOADO SEAS MI SEÑOR.
El aprendizaje colaborativo es un sistema de interacción diseñado para organizar la influencia mutua entre los miembros de un equipo. Cada persona se siente comprometida con el aprendizaje de los demás para generar una interdependencia positiva sin competencia. Se adquiere a través de métodos de trabajo grupal donde todos comparten experiencias y conocimientos para lograr una meta grupal, y la retroalimentación es esencial para el éxito.
Este documento resume la historia del cristianismo desde sus orígenes en Judea bajo el Imperio Romano hasta su establecimiento como religión oficial del Imperio en el siglo IV. Explica cómo las enseñanzas de los profetas hebreos y las escrituras del Antiguo Testamento formaron las bases de la nueva religión, así como el papel clave de Jesús y sus discípulos. También describe la expansión del cristianismo a través del Imperio gracias a misioneros como Pablo de Tarso y su reconocimiento oficial b
La convergencia tecnológica permite la provisión de múltiples servicios como voz, datos, sonido e imágenes a través de diferentes redes. Esto incluye la convergencia de terminales como teléfonos, computadoras y televisores, así como la convergencia de redes de comunicación como cables, fibra óptica y señales inalámbricas. En el futuro, los proveedores ofrecerán paquetes integrados de servicios de voz, mensajería, movilidad, IPTV y correo electrónico a través de
Los árboles producen oxígeno y tienen múltiples beneficios adicionales para los seres humanos y el planeta. Proporcionan sombra, refugio del clima, materia prima para construcción, embellecen el paisaje y son necesarios para sustentar la vida. Los árboles frutales se reproducen a través de las flores, la polinización y el desarrollo de semillas, y es importante plantar y cuidar los árboles para mantener un ecosistema saludable.
El documento presenta varios problemas de genética relacionados con la herencia de caracteres en diferentes organismos como cobayas, plantas de tomate y ratones. Se plantean cruces genéticos entre diferentes individuos y se piden las proporciones genotípicas y fenotípicas esperadas en la descendencia, así como determinar los genotipos de los progenitores en base a los resultados observados. También se incluyen ejercicios sobre la herencia ligada al sexo y sobre grupos sanguíneos.
Dispositivos digitales en la cotidianidadtatianatavapa
El documento describe cómo los dispositivos digitales como celulares, computadoras, MP3/MP4, cámaras e iPads han ayudado al mundo a través de la investigación, el entretenimiento y la educación, pero también han aislado a algunas personas y generado un mal uso. La tecnología continúa evolucionando para satisfacer las necesidades de la sociedad y ser lucrativa.
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
Part 1: Why should every business need to deploy a CDP ?
1. Big data is the reality of business today
2. What are technologies to manage customer data ?
3. The rise of first-party data and new technologies for Digital Marketing
4. How to apply USPA mindset to build your CDP for data-driven business
Part 2: How to use LEO CDP for your business
1. Core functions of LEO CDP for marketers and IT managers
2. Data Unification for Customer 360 Analytics
3. Data Segmentation
4. Customer Personalization
5. Customer Data Activation
Part 3: Case study in O2O Retail and Ecommerce
1. How to build customer journey map for ecommerce and retail
2. How to do customer analytics to find ideal customer profiles
The ideal customer profile in a B2B context
The ideal customer profile in a B2C context
3. Manage product catalog for customer personalization
4. Monitoring Data of Customer Experience (CX Analytics)
CX Data Flow
CX Rating plugin is embedded in the website, to collect feedback data
An overview of CX Report
A CX Report in a customer profile
5. Monitoring data with real-time event tracking reports
Event Data Flow
Summary Event Data Report
Event Data Report in a Customer Profile
Part 4: How to setup an instance of LEO CDP for free
1. Technical architecture
2. Server infrastructure
3. Setup middlewares: Nginx, ArangoDB, Redis, Java and Python
Network requirements
Software requirements for new server
ArangoDB
Nginx Proxy
SSL for Nginx Server
Java 8 JVM
Redis
Install Notes for Linux Server
Clone binary code for new server
Set DNS hosts for LEO CDP workers
4. Setup data for testing and system verification
Part 5: Summary all key ideas
I’m pleased to announce the 3rd annual Startup Sales Stack Report! This report is meant to serve as a guiding framework for anyone evaluating sales solutions. Whether sales, marketing, customer success or management, if you’re thinking of using or buying software to optimize customer acquisition or management processes with software, this report should be relevant. I hope it will also be insightful for any parties interested in learning more about the sales & marketing automation software landscapes, from investors to advisors to prospective employees.
[AI Webinar Series P1] - How Advanced Text Analytics Can Increase the Operati...JK Tech
Digitization is considered as the next step-change that will have a bigger impact on businesses than even the internet. To win in the digital journey, companies must act now, or be left behind wondering what happened!
In this webinar series, JKT Smart Analytics demonstrates how they empower their customers to create maximum business value out of this eminent Digital data explosion through digital business empowerment by leveraging the digitization to increase their top-line revenue – customer experience, optimize the bottom-line costs – operational efficiency, enhancing the safety factor and reinventing the business process in line with the changing world.
This webinar is focused on how our AI-based text analytics solutions – First, JKT Social Media Radar; a SaaS-based AI NLP Platform, helping organizations to gain insights on market and customer perceptions on their brands, products & services. Secondly, Sales Promotion Recommendation Engine helps customers to enhance their top-line growth and streamline the bottom-line costs.
KEY TAKEAWAYS:
1) How should a business plan their journey through the Digital data revolution?
2) How can a company make use of digital data to create effective data strategies for the increased outcome(s)?
3) How IT practitioners can catalyst the digital data mining journey and attract business adoption?
4) JKT Social Media Radar solution – What, Why, Supporting Business applications, and more.
5) How can companies reduce operational costs by automating human effort-intensive tasks using cognitive Analytics?
Revenue Operations Analytics: A Strategic BlueprintKwanzoo Inc
The true value in your KPIs is understanding how they complete the bigger picture of the customer journeys that drive the most impact for your business.
Catalog Management Systems Market Competitive Research And Precise Outlook 20...subishsam
The research firm Contrive Datum Insights has just recently added to its database a report with the heading global Catalog Management Systems Market .Both primary and secondary research methodologies have been utilised in order to conduct an analysis of the worldwide Catalog Management Systems Market . In order to provide a comprehensive comprehension of the topic at hand, it has been summed up using appropriate and accurate market insights. According to Contrive Datum Insights, this worldwide comprehensive report is broken up into several categories in order to present the data in a way that is understandable, succinct, and presented in a professional manner.
The document discusses a case study of Incurrent, a small company that provided online credit card services. To pursue growth, they developed two business strategies - an online collections product and commercial credit cards. Analysis found the collections product had more revenue potential and could be extended to other industries. They developed the collections software, partnering with experts. Marketing proved the product's effectiveness, and the strategy was refined to expand to other markets like loans. The company was later acquired by Online Resources.
This document discusses the benefits of business intelligence tools for organizations. It explains that BI tools help organizations integrate different business applications, exchange information between dispersed sources, and provide consolidated reporting. This helps improve data accuracy and integration across applications. Some key benefits of BI tools mentioned include simplifying tracking of business operations and competitors, enabling timely corrective actions, performing large data analysis, aiding mergers and acquisitions by integrating processes, and helping predict customer behavior and measure key performance indicators for effective decision making.
Swan Mill Paper Company - Prophix UK In-Depth Profile - FinalRitchie Ledger
Swan Mill Paper Company switched from Adaptive Insights to Prophix for their financial planning and analysis needs. Prophix provided multi-currency budgeting and forecasting capabilities for Swan Mill's global divisions, as well as accurate sales forecasting. Swan Mill can now make better business decisions based on insights from Prophix into customer contributions, product performance, and regional trends. The implementation was completed within 3 days and Prophix has since supported Swan Mill's detailed analysis of financial and operational KPIs.
Mortgage Clarity is a data analytics tool that allows mortgage lenders to analyze their business performance and benchmark themselves against 96% of the UK mortgage market. It provides visual dashboards and statistical tools to analyze metrics like market share, broker sales, customer profiles, and risk exposure. Key benefits include competitive analysis, improved sales through better broker targeting, and more strategic and compliant risk management. The tool is accessed through an online portal and customizable dashboards without additional software or IT support.
CRM in eresource NFRA (http://nfra.eresourceerp.com/) provides better customer service, cross-sell and up-sell more effectively, close deals, retain current customers and better understand who your customer are. Organizations frequently look for ways to personalize online experiences with tools that are provided with the CRM module. The CRM module enables interactions with customers. The module organizes, automates and synchronizes sales, marketing, customer service, and technical support.
CRM module in eresource nfra ERP helps you to streamline customer communication which can establish long time relationship. For Details:http://nfra.eresourceerp.com/CRM.html
Eresource nfra is an ERP system that has been integrated with an efficient Customer Relationship Management (CRM) module that can be wisely used to enhance your business strategies.For details:http://nfra.eresourceerp.com/Project-Based-Industry-CRM.html
Pitch Deck Teardown: Scalestack's $1M AI sales tech Seed deckHajeJanKamps
This document introduces Scalestack, an AI-powered sales operations platform that aims to improve sales productivity and pipeline generation. It summarizes Scalestack's solution as bringing together all GTM data, suggesting prioritized actions, and helping reps execute sales plays with context. It provides an example customer story of how Scalestack helped MongoDB improve data quality, efficiency, and close over $20M in additional revenue. Scalestack differentiates itself from CRMs, sales tools, and data providers by focusing on automating the early sales funnel through personalized insights and actionable next steps for reps.
The document appears to be a summer internship report submitted by Nitesh Yadav about marketing strategies of multinational corporation products. It includes sections on MDRA, KPMG, SAP, and Lululemon where Nitesh worked and analyzed data to provide recommendations. At KPMG, Nitesh analyzed customer data for a client to identify which customers to target for increased sales. At SAP, Nitesh worked as a technical consultant looking at client solutions.
This Presentation covers the basic concept of Business Intelligence, BI Technologies, BI Tools, Future of BI, Real time BI, Key Stages of BI, BI Industry & Decision Support Applications.
The document discusses unified commerce and Playhouse's role in helping companies implement unified commerce strategies. Unified commerce aims to create a seamless customer experience across channels by integrating systems. Playhouse can help clients develop roadmaps, integrate systems, and manage projects using agile methodology. The document then outlines the benefits of unified commerce, such as a single customer view, cost reduction, and inventory visibility across channels. It provides steps for companies to start their unified commerce journey, including evaluating current systems and defining success metrics.
The document discusses collecting data on a mobile app over two time periods to analyze the impact of new features on key metrics like new users, sessions, and session duration. Data was collected using Google Analytics on dimensions like user type, sessions, and devices. The hypothesis is that the app would see a sudden influx of new users and increased usage with the addition of a new useful feature. Statistics were analyzed and visualized to evaluate if the hypotheses were true and identify reasons for the outcomes. A non-visualized data set with metrics for app versions over the periods is also presented.
The document describes the development and implementation of an Integrated Analytical Model (IAM) at Konica Minolta Ukraine to improve business decision making. Key points:
- The IAM integrated data from various ERP systems and financial reports into a multidimensional model to allow comprehensive analysis of KPIs across business areas over time.
- The model linked dimensions like products, customers, and time to financial and operational metrics, enabling analysis of factors like customer profitability by segment.
- Results are communicated through SharePoint reports and Excel pivot tables, providing managers targeted insights while allowing power users flexible ad-hoc analysis.
- The IAM created a "single version of truth" and
Customer Lab: Maximizing Your ROI with Demandbase: A Practical Playbook for M...Demandbase
This document provides an overview of a playbook for marketers to maximize their ROI with Demandbase. It includes sections on targeting the right accounts and people, using intent and engagement data to progress opportunities, orchestrating programs across systems, and tracking metrics. Specific use cases are presented, such as identifying in-market intent, acquiring new contacts from target accounts, generating further engagement through direct mail, and assigning sales tasks based on account qualification scores. The playbook emphasizes using automation to save time on repetitive tasks.
SattaMatka, Boss Matka, Matka Boss, Satta Boss, Matka Satta,Sata Mataka, Satta Mataka, Satta Matka net, Satta Matka.com, Satta Matka Chart, Kalyan Matka Result, Today Matka Jodi, Kalyan Main Matka tips, Kalyan Matka Guru, Aaj ka satta Kalyan Jodi, today satta number, Satta Matta Matka, sata matka, satta result, rajshree matka result, satta Kalyan, satta matka com, satta matka mobi, Matka boss, sattamatka143, sattabatta, indianmatka, result matka, sattaka matka com, satta matka.net, Kalyan chart, Kalyan result, Kalyan penal Chart, Kalyan satta, satta matka Kalyan, satta matka com, satta matka net, satta batta, fix fix fix satta number, Satta Matka 143, ka matka, worli matka, matka bajar, Satta Matta Matka 143, satta chart, Satta Matka guessing, Satta, matka 420, Satta Matta Matka and Matka result, Satta Matka, all Matka, Setka Matka, Matta Matká, Satta m, india Matka, Matká Satta, Matka Boss otg, Indian Matka guessing, final ank,final ank open, final ank jodi, final ank guessing, Satta matka 420, matka satta 420,
#Satta Matka #Satta Matka Guessing #Kalyan Matka Guessing #Matka Guessing Forum #Matka Guessing 143 #Simple Matka Guessing #Matka Trick #Dpboss Guessing #Satta Matka 143 Guessing #Satta Matka God #Satta King Guess #Free Matka Guessing #Kalyan Matka Trick #Satta Matka Gods #Satta King Guessing #Satta Matka #Matka Guessing #Satta #Matka #Satta Matta Matka #Matka Result #Satka Matka #all Matka #Setka Matka #Matta Matkà #Kalyan Matka #Indian Matka #Sattamatka #Matka Satta #Satta.Matka #Kalyan Chart #Kalyan penal Chart #Matka Guessing #Matka Boss otg #Matka 420 #matka Indian Matka,Matka Boss Otg, Free Matka Boss, Matka 420 #Matka 786 #Kalyan Guessing #Satta Guessing #dpboss.social #dpboss.guru #dpboss.expert#dpbosss.com#SATTA_MATKA_KALYAN_HEAD_OFFICE #sattamatkaresult.in#dpboss #sattamatkaresult #Indiana #Setka #KALYAN#Mattapan #SATTA #satka #allnatural #SattaMatka #indianwedding #FreeGame #matta#kalyanmatka #matkaboss #Matka420 #indianMatka #KalyanChart #matkaotg #sattatrick #MAINBAZAR #kalyanjodichart #indiaMatka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian Matka
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODNUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA Satta matka, Kalyan matka,matka guessing,fix matka,satta market,matka market,matka bazar,satta bazar,matka,satta matka result,matka game,matka result,Fastest matka satka batta,matka 420,Matka boss, Kalyan penal Chart,Tara matka, rajdhani night chart, golden dubai matka,sattamatka madhur satta,sattaking143 number weekly jodi,matka guessing final ank open close, Kalyan night chart Indian satta King Satta, Kalyan wapka mobi site100 tricks, fix fix fix satta nambar prabhat satta, Kalyan panel chart 2020 2010, SattaMatka, Main ratan panel chart, Mumbai panel chart, Milan panel chart, Kalyan night panel chart, Milan night panel chart, time bazar khiladi420, Sona Matka 111 420, Boss 440, Matka india net, weekly indian Satta fix ank otg, matka one, Simple Matka Guessing Param Matka guessing trick 143 surya Alex, satta, dpboss, SattaMatka, Boss Matka, Matka Boss, Satta Boss, Matka Satta,Sata Mataka, Satta Mataka, Satta Matka net, Satta Matka.com, Satta Matka Chart, Kalyan Matka Result, Today Matka Jodi, Kalyan Main Matka tips, Kalyan Matka Guru, Aaj ka satta Kalyan Jodi, today satta number, Satta Matta Matka, sata matka, satta result, rajshree matka result, satta Kalyan, satta matka com, satta matka mobi, Matka boss, sattamatka143, sattabatta, indianmatka, result matka, sattaka matka com, satta matka.net, Kalyan chart, Kalyan result, Kalyan penal Chart, Kalyan satta, satta matka Kalyan, satta matka com, satta matka net, satta batta, fix fix fix satta number, Satta Matka 143, ka matka, worli matka, matka bajar, Satta Matta Matka 143, satta chart, Satta Matka guessing, Satta, matka 420, Satta Matta Matka and Matka result, Satta Matka, all Matka, Setka Matka, Matta Matká, Satta m, india Matka, Matká Satta, Matka Boss otg, Indian Matka guessing, final ank,final ank open, final ank jodi, final ank guessing, Satta matka 420, matka satta 420,
#Satta Matka #Satta Matka Guessing #Kalyan Matka Guessing #Matka Guessing Forum #Matka Guessing 143 #Simple Matka Guessing #Matka Trick #Dpboss Guessing #Satta Matka 143 Guessing #Satta Matka God #Satta King Guess #Free Matka Guessing #Kalyan Matka Trick #Satta Matka Gods #Satta King Guessing #Satta Matka #Matka Guessing #Satta #Matka #Satta Matta Matka #Matka Result #Satka Matka #all Matka #Setka Matka #Matta Matkà #Kalyan Matka #Indian Matka #Sattamatka #Matka Satta #Satta.Matka #Kalyan Chart #Kalyan penal Chart #Matka Guessing #Matka Boss otg #Matka 420 #matka Indian Matka,Matka Boss Otg, Free Matka Boss, Matka 420 #Matka 786 #Kalyan Guessing #Satta Guessing #dpboss.social #dpboss.guru #dpboss.expert#dpbosss.com#SATTA_MATKA_KALYAN_H
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
Satta Matka | Satta Matta Matka 143 | Fix Matka | Indian Satta | Kalyan Chart | Fix Fix Fix Satta Namber | Kalyan Satta | Kalyan Matka | Kalyan Panel Chart | Kalyan Jodi Chart | Satta Result | Satta Live | Satta Guessing | Satta King | Satta 143 | Rajdhani Satta Result | Matka Guessing | Sona Matka | Matka 420 | Kalyan Open | Matka Boss | Ka Matka | Dp Boss Matka | Matka Tips Today | Kalyan Today | Matka Result | India Matka
#satta #matka #kalyantoday #taramatka #matkaboss #matka420 #indiaMatka
#sattamattamatka143 #sattamatka #indianMatka #kalyanchart #kalyanmatka #kalyanjodichart #sattabatta #matkaguessing
#indianmatka #matkafixjodi
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
SattaMatka, Boss Matka, Matka Boss, Satta Boss, Matka Satta,Sata Mataka, Satta Mataka, Satta Matka net, Satta Matka.com, Satta Matka Chart, Kalyan Matka Result, Today Matka Jodi, Kalyan Main Matka tips, Kalyan Matka Guru, Aaj ka satta Kalyan Jodi, today satta number, Satta Matta Matka, sata matka, satta result, rajshree matka result, satta Kalyan, satta matka com, satta matka mobi, Matka boss, sattamatka143, sattabatta, indianmatka, result matka, sattaka matka com, satta matka.net, Kalyan chart, Kalyan result, Kalyan penal Chart, Kalyan satta, satta matka Kalyan, satta matka com, satta matka net, satta batta, fix fix fix satta number, Satta Matka 143, ka matka, worli matka, matka bajar, Satta Matta Matka 143, satta chart, Satta Matka guessing, Satta, matka 420, Satta Matta Matka and Matka result, Satta Matka, all Matka, Setka Matka, Matta Matká, Satta m, india Matka, Matká Satta, Matka Boss otg, Indian Matka guessing, final ank,final ank open, final ank jodi, final ank guessing, Satta matka 420, matka satta 420,
#Satta Matka #Satta Matka Guessing #Kalyan Matka Guessing #Matka Guessing Forum #Matka Guessing 143 #Simple Matka Guessing #Matka Trick #Dpboss Guessing #Satta Matka 143 Guessing #Satta Matka God #Satta King Guess #Free Matka Guessing #Kalyan Matka Trick #Satta Matka Gods #Satta King Guessing #Satta Matka #Matka Guessing #Satta #Matka #Satta Matta Matka #Matka Result #Satka Matka #all Matka #Setka Matka #Matta Matkà #Kalyan Matka #Indian Matka #Sattamatka #Matka Satta #Satta.Matka #Kalyan Chart #Kalyan penal Chart #Matka Guessing #Matka Boss otg #Matka 420 #matka Indian Matka,Matka Boss Otg, Free Matka Boss, Matka 420 #Matka 786 #Kalyan Guessing #Satta Guessing #dpboss.social #dpboss.guru #dpboss.expert#dpbosss.com#SATTA_MATKA_KALYAN_HEAD_OFFICE #sattamatkaresult.in#dpboss #sattamatkaresult #Indiana #Setka #KALYAN#Mattapan #SATTA #satka #allnatural #SattaMatka #indianwedding #FreeGame #matta#kalyanmatka #matkaboss #Matka420 #indianMatka #KalyanChart #matkaotg #sattatrick #MAINBAZAR #kalyanjodichart #indiaMatka
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
Kalyan Satta Kalyan Matka 420 Kalyan Satta Matka Kalyan Chart Kalyan Jodi Chart Kalyan Panel Chart Kalyan Night Chart Kalyan Night Panel Chart Kalyan Night Jodi Chart Kalyan Open Fix Kalyan Final Main Bazar Chart Main Bazar Panel Chart Main bazar Jodi Chart
Kalyan Panel Chart Kalyan Matka Panel Chart Kalyan Jodi Chart Kalyan Chart Kalyan Matka Kalyan Satta Kalyan Panna , Patti Chart Kalyan Guessing
#satta #matka #kalyantoday #matkaboss
#matka420 #indiaMatka #sattamattamatka143 #sattamatka #indianMatka #kalyanchart #kalyanmatka #kalyanjodichart #matkaguessing #indianmatka #matkafixjodi #KalyanJodiChart #KalyanPanelChart
#KALYANTODAY
#KALYANSATTA
#SATTAMATKA
#KalyanJodiChart #KalyanChart #KalyanPanelChart
#mainbazartoday
#mainbazartrick
#mainbazartoday
#mainbazar
Satta Matka Satta Matta Matka 143 Kalyan Chart Kalyan Matka Kalyan Satta Matka Fix Jodi Chart Kalyan Panel Chart Dp Boss Matka Guessing 143 24 Satta Batta Matka Boss Otg Kalyan night Chart Milan Night Panel Chart Satta Matka Result India Matka Boss Otg
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
Satta matka game,matka result,Fastest matka satka batta,matka 420,Matka boss, Kalyan penal Chart,Tara matka, rajdhani night chart, golden dubai matka,sattamatka madhur satta,sattaking143 number weekly jodi,matka guessing final ank open close, Kalyan night chart Indi
an satta King Satta, Kalyan wapka mobi site100 tricks, fix fix fix satta nambar prabhat satta, Kalyan panel chart 2020 2010, SattaMatka, Main ratan panel chart, Mumbai panel chart, Milan panel chart, Kalyan night panel chart, Milan night panel chart, time bazar khiladi420, Sona Matka 111 420, Boss 440, Matka india net, weekly indian Satta fix ank otg, matka one, Simple Matka
➒➌➎➏➑➐➋➑➐➐ Satta Matka Dpboss Matka Guessing Indian MatkaKALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
How AI is Disrupting Service Industry More Than Design ThinkingBody of Knowledge
Artificial Intelligence (AI) and Design Thinking are two powerful tools that, when used together, can revolutionize the service industry. By combining these approaches, businesses can develop innovative solutions that enhance customer experience, increase efficiency, and drive growth. Here's how AI and Design Thinking are disrupting the service industry
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
Satta Matka Dpboss Kalyan Matka Results Kalyan Chart KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
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
2
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.
02
3
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.
5
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
7
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
8
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
9
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
10
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
11
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
12
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
13
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
14
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
15
DiFrame Sp. z o.o.
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
17
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
18
DiFrame Sp. z o.o.
19. Business Intelligence
Online currency exchange office
19
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
20
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
21
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
22
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.
23
DiFrame Sp. z o.o.
24. Business Intelligence
Work performance analysis
24
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
25
DiFrame Sp. z o.o.
26. Business Intelligence
Web Analytics Dashboard
26
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
27
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
29
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
31
DiFrame Sp. z o.o.
32. Business ModelsMobile App
32
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
33
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
34
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
35
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
36
DiFrame Sp. z o.o.
37. Business ModelsProfit Share
37
DiFrame Sp. z o.o.
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.
38
DiFrame Sp. z o.o.
39. Business ModelsVoD Service
39
DiFrame Sp. z o.o.
EUR content parameters
Product parameters - second segment
Analysis of EUR currency-risk sensitivity
Analysis of USD currency-risk sensitivity
Performance analysis
41. Team
41
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.