|
|
Practical use of Web Intelligence
Hnízdil, Jan ; Slánský, David (advisor) ; Pour, Jan (referee)
Web Intelligence has been quiet a popular topic lately. This thesis doesn't try to form the exact definition of Web Intelligence, because it's impossible. The aim is to demonstrate practical use of WI in retail banking instead. Since Web Intelligence can be seen as some kind of advanced Web Analytics system, the text starts off with explaining basics of Web Analytics. Then a hypothetical story about Mr. Cerny ' looking for a bank that would give him a mortgage loan is told. Meanwhile, a bank that provides Mr. Cerny 's current account tries to sell its own mortgage loan to him. Unfortunately, wrong channel at a wrong time is used to communicate the message which ends up with Mr. Cerny denying the offer instantly. Obvious mistakes made by the bank are then picked up and discussed. The conclusion is you need to know your customer very good to have long and healthy relationship. One way to achieve this is to deployWeb Intelligence solution that would reveal online habits of every one of your customers. Event Driven Marketing online campaigns can then be used to identify customers needs and target them at the right time, through the right channel and with the right message. If everything works well, the customer starts to percieve marketing communication as a personal support rather than annoying advertisement.
|
|
|
Implementation Business intelligence solution in enterprise
Černý, Lukáš ; Slánský, David (advisor) ; Pour, Jan (referee)
Since 1989, there rose many branches. One of them the company grounds with their work scope as ICT services, ICT trainings and system development. The households had started to use in huge the PCs and round 1992 joined WEB. The companies did start to ask for applications which would have been able to be in connection with the other branch offices and had been looking for such solutions that would have brought the new added value. There had been rising new bank systems, telecommunication, insurance, energy, industrial systems and the like. Today, we are dating 2011 and it is more than 20 year; and the systems are still in use. Therefore it is unavoidable to store all the data to be used further and based on the data to create competitive environment. Every company has got its own department assuring data storage, data analysis and reporting the results to the top management. In past the data was used to process decision streamline, and thus remedy the key branches. Hence a new line of business came up focused on data processing, the new technology standards conception, new storage data types etc. The new fundamental term was formed -- Business Intelligence. The subject of the diploma paper is Business Intelligence Solution in enterprise scoped to the process design, development, data purity and project management in pharmacy. There are mentioned the base components of Business Intelligence Solution, technology and meritorious aspect of design. Integral part of this work is description of pharmacy problematic and project management.
|
|
|
Master Data Management, Customer Data Integration and value for business
Rais, Filip ; Novotný, Ota (advisor) ; Slánský, David (referee)
This thesis is focused on Master Data Management (MDM), Customer Data Integration (CDI) area and its main domains. It is also a reference to a various theoretical directions that can be found in this area of expertise. It summarizes main aspects, domains and presents different perspectives to referenced principles. It is an exhaustive background research in area of Master Data Management with emphasis on practical use with references on authors experience and opinions. Secondary focus is directed to the field of business value of Master Data Management initiatives. Thesis presents a thought concept for initiations of MDM project. The reason for such a concept is based on current trend, where companies are struggling to determine actual benefits of MDM initiatives. There is overall accord on the subject of necessity of such initiatives, but the struggle is in area of determining actual measureable impact on company's revenue or profit. Since the MDM initiative is more of an enabling function, rather than direct revenue function, the benefit is less straight forward and therefore harder to determine. This work describes different layers and mapping of business requirements through layers for transparent linkage between enabling functions to revenue generating ones. The emphasis is given to financial benefit calculation, measurability and responsibility of business and IT departments. To underline certain conclusions thesis also presents real world interviews with possible stakeholders of MDM initiative within the company. These representatives were selected as key drivers for such an initiative. Interviews map their recognition of MDM and related terms. It also focus on their reasons and expectations from MDM. The representatives were also selected to equally represent business and IT departments, which presents interesting clash of views and expectations.
|
|
|
Roles in Data Governance
Reken, Jaroslav ; Slánský, David (advisor) ; Pour, Jan (referee)
This work is covering the area of Data Governance (DG) with the main focus on roles in DG. First part is capturing the DG field from a basic perspective. This chapter introduces main principles of DG and is considered as a guideline for better understanding of the second chapter. The second chapter contains different approaches on DG and on roles in DG. The approaches are from world leaders in the field of DG like IBM, Teradata, KIK Consulting and The Data Governance Institute. In the summary of second chapter you can find a comparison of these different approaches to organization structure and roles in DG. The third and final chapter contains my own approach to organization structures and roles in DG. You can find there a wide variety of roles divided by different factors. This will give you a very good and unique perspective on roles and it might be also helpful as a guideline for necessary roles in the implementation process of DG program.
|
|
|
Comparison of Fraud management systems from customers point of view: What to be avare of and where to focus, while selecting proper solution.
Augusta, Jindřich ; Bruckner, Tomáš (advisor) ; Slánský, David (referee)
Diploma thesis deals with fighting insurance fraud from the very beginning to the end, seen from insurance company's perspective. It also tries to see insurance frauds and dealing with them not only from IT point of view, but also accompany other department's views and needs. It's starting with organizational overview and its readiness to fight fraud and trying to show, how to improve. Furthermore it introduces reader with basic terms and phrases of insurance fraud and continues with general description of this encounter. It continues with indicators of insurance fraud and its examples and strategies, how to find them in data. Next part of my thesis is focusing on available external sources and possible insurance companies' cooperation, for maximized ability to detect suspicious cases. This is continued by selection of proper system, requirements definition and its goals. Last part shows one of FMS solutions and its description, from requirements up to complete solutions architecture and screenshots of given system.
|
|
|
Analytical CRM - market overview and trends
Prochásková, Jana ; Slánský, David (advisor) ; Pour, Jan (referee)
Analytical CRM is a consistent suite of analytical applications that processes customer data stored in various information systems. The results are used to measure, predict and optimize customer relationships. The CRM applications market is growing despite the economic turmoil. The major trends are: CRM as a service, focus on customer retention and loyalty and last but not least achieving cost savings by effective targeting of marketing activities. The purpose of this paper is to define the business architecture of CRM systems and analytical CRM, analysis of the market and its trends, introduction of Good Data's approach to customer analytics and suggestions for possible extension of their Customer Analytics service.
|
|
|
Integration of .NET/Java technologies with SAS
Jandák, Miroslav ; Slánský, David (advisor) ; Pour, Jan (referee)
This thesis is focused on SAS Enterprise Intelligence Platform product and it's capabilities to integrate within a Business Intelligence solution. The aim of the thesis is to describe integration technolgies that the platform features, as well as to determine their application field and compare them, eventually add usage examples. The first part of the thesis explains the general concept and architecture of Business Intelligence, afterwards the reader gets familiar with the SAS Enterprise Intelligence Platform, it's stucture and components and it's Business Intelligence market position. The second part of the thesis contains description (how they work and what they are good for) of the integration technologies available in SAS Enterprise Intelligence Platform. Those technologies are mostly implementations of the most common industry standards (database APIs, COM/DCOM, CORBA, web services). The study also includes description of these standards supported by SAS. The thesis features also comparisions of the integration technologies, namely comparison of database API implementations and comparision of Integrated Object Model API with SAS BI Web Services.
|
|
|
Category Management Sofwtare Tools
Štumpa, Tomáš ; Slánský, David (advisor) ; Pour, Jan (referee)
The tesis describes software tools used in Category Management process. In the first chapter the theory of Category Management and its impact on todays business is presented. Next chapter describes the relation between information technologies and Category Management. The following chapter introduces software tools for Category Management used by GlaxoSmithKline, s.r.o. The last chapter of the thesis is devoted to case study of cooperation with international retailer Tesco.
|
|
|
Product Information Management - the fortune hidden in product data
Bort, Tomáš ; Slánský, David (advisor) ; Pour, Jan (referee)
The exceeding supply over demand and very hard competitive conditions are nowadays the main features of the majority of sectors. A successful company is the one that is able to satisfy specific customers' needs, the one that has efficient cooperation with its suppliers throughout the whole supply chain and also the one that is able to speed up the in-house information exchange. Thus the company has to seek constantly new and innovative solutions. This is not possible without standardization and automatization of business processes. This master's thesis is dedicated to one of the possible solutions -- the Product Information Management (PIM). Since it is intended for business managers (without deep IT knowledge), at the beginning it answers the question why it is so important to know master data and to manage it. It specializes in managing product data, brings its comprehensive overview and identifies the advantages and drawbacks of the implementation as well as financial and organizational impacts. The consecutive chapter deals with simplified yet applicable approach to data management analysis (with emphasis on the PIM) and based on research, it mentions main mistakes of the implementation. In addition to the overview of main vendors of the PIM solution, it presents the latest trends in the PIM. Besides internal data synchronization, the thesis analyses several product standards -- the fundamental step towards external data synchronization, the key topic of the practical part. The whole thesis is conceived to provide an organization with a simple yet compact and therefore very effective tool for master product data insight and thus to help it to gain a competitive advantage.
|
|
|
Business Intelligence Governance
Knap, Pavel ; Slánský, David (advisor) ; Pour, Jan (referee)
The thesis is focused on the area of Business Intelligence Governance that seeks to management BI as a complex environment in an organization. The goal of this thesis is to create comprehensive BIG framework that will help to understand and lead BI, to support business strategy execution. The fist part of this thesis is introduction to the area of BIG. It contains definition of the term BI, description of trends in BI, definition of the term BIG and the answer on question Why do we need to governance BI. The second part focuses on description and evaluation of existing BIG instruments. The third part handles about new BIG framework and authorities. It describes particular building blocks of the framework and discovers structure of BIG authorities.
|
guest ::
