Decision Support System PDF – FREE Download

Decision Support System with new approach that integrates knowledge and consolidates hyperinflation of KPI’s with Financial Statements! Find more in introduction materials, Download PDFs!

Decisions Support Systems are tightly connected with Business Intelligence solutions and can not be separately analyzed. Business Intelligence systems feed Decision Support Systems for tactic and strategic decisions and should be monitored and considered together as one big business information systems picture. Making decisions via Decision Support Systems also concerns way how knowledge management and business performance management is solved in companies.

DSS can make significant business and profit impact if it set up for optimum decision making contribution. Otherwise DSS will be feed with mess and bunch of beneficial data upon which will not be possible to make quality decisions. It is essential to understand have DSS functions, what are weak spots and issues and how to gain additional profit from perfect management reporting.

Download your free copy of first five chapters of FREE PDF “Business Intelligence Secrets for Unfair Competitive Advantage”. It is introduction into complex environment of Advanced Reporting and analytics of Information Systems. It is how Decision Support Systems are made and modelled upon Business Intelligence systems. There is also free Manifest “Challenging Perfect Management Reporting” that explains what are core problems of current decision support systems in business intelligence environment and what is the solution for their best value add contribution. Information flow is basis for decision support systems and manifest explains why reporting should be modelled as dynamic decision environment and not as statically solution currently widely used.

Subscribe for download of Decision Support Systems PDF within our revealed Business Intelligence Secrets

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PDF #1 - The first part of book "Business Intelligence Secrets for Unfair Competitive Advantage" is an introduction into Management Decision Simulations.

PDF #2 - Business Intelligence Manifest demystifies core Business Intelligence problems and explains the vision of superb Management Reporting.

PDF #3 - Introduction into "Essential Non-IT Business Intelligence Architect Guide".

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Business Intelligence PDF Content Overview

Free download of introduction material of Business Intelligence, Data Warehouse, Data Mining, Master Data Management, Data Quality, Financial and Controlling Business Intelligence, Decision Support Systems, Management Information Systems, Business Performance Management. All named items are gathered at one place.

PDF Content for FREE download

• 1        FOREWORD.. 9
• 2        INTRODUCTION.. 10
• 3        REPORTING INFORMATION TSUNAMI 13
• 3.1        Business World and Financial World. 16
• 3.2        BI vs. FCBI vs. TCC. 17
• 3.2.1        Financial deep field view.. 17
• 3.2.2        Business Intelligence vs. Financial and Controlling Business Intelligence. 17
• 3.2.3        FCBI and BI vs. Total Controlling Concept 19
• 4        ABOUT DECISIONS. 22
• 4.1        Types of decisions in company. 23
• 4.2        Information Systems and decisions. 24
• 4.3        Decision process. 25
• 4.4        Roles of managers. 26
• 4.5        Three management approaches. 28
• 4.5.1        Technical rational perspective. 28
• 4.5.2        Behaviouristic perspective. 28
• 4.5.3        Cognitive perception and post modernistic time. 29
• 4.6        “Management feeling”. 29
• 4.7        Companies based on knowledge. 29
• 4.8        Management education. 31
• 4.9        Productivity concept 31
• 5        BASIC PROCESSES AND PRECONDITIONS. 34
• 5.1        Terms and terminology. 35
• 5.1.1        Business Dictionary. 36
• 5.1.2        KPIs – Key Performance Indicators. 38
• 5.1.3        Master data. 47
• 5.2        Single Point of Truth (SPoT) 49
• 5.3        Information Model 54
• 5.4        Product Management 57
• 5.5        Commenting system.. 58
• 5.6        Internal Marketing. 59

Other chapters are in preparation and intended for sale as info product. 

Content of other Business Intelligence PDF part is following.

• 6        DWH/BI/DATA MINING FUNCTIONALITIES. 61
• 6.1        Myths and legends. 62
• 6.2        About DWH, BI and Data mining. 64
• 6.2.1        DWH Introduction. 64
• 6.2.2        What is DWH?. 66
• 6.2.3        What is BI?. 67
• 6.2.4        What is Data Mart?. 69
• 6.2.5        Difference between DWH and production system.. 70
• 6.3        DWH importance. 71
• 6.3.1        Preconditions for building systems for data transfers. 73
• 6.3.2        DWH live and analytical tools. 74
• 6.3.3        DWH as vicious cycle of quality. 74
• 6.3.4        The strategic value of Data Warehouse. 76
• 6.3.5        Successful implementation of DWH project?. 77
• 6.4        Knowledge creation from data. 78
• 6.4.1        Performing knowledge from data – OLAP tools. 78
• 6.4.2        Taking knowledge from DWH.. 80
• 6.5        Advanced methods – data discovery (Data mining) 86
• 6.5.1        Introduction into data mining processes. 86
• 6.5.2        Role of DWH in data mining. 89
• 6.5.3        DM clustering. 89
• 6.5.4        Other methods. 92
• 6.5.5        Decision trees. 92
• 6.5.6        Neuron nets. 93
• 6.5.7        Visualization. 95
• 6.6        DWH and Decision supporting system.. 98
• 6.6.1        Effects of DWH system as IS subsystem.. 99
• 6.6.2        DWH as source for strategic decision making. 101
• 6.6.3        How can DWH / DSS systems be strategic tools?. 101
• 6.7        Example of DWH as standard. 105
• 6.8        Failure-success factors of DWH/BI projects. 106
• 6.9        Basic functionalities. 107
• 6.9.1        Contact management 108
• 6.9.2        Campaign management and monitoring. 108
• 6.9.3        Customer behaviour recording and predicting. 110
• 6.9.4        Lifetime value of customer analysis. 110
• 6.9.5        Customer segmentation/customer clusters. 110
• 6.9.6        Payment risk. 111
• 6.9.7        Cross-sell and up-sell 111
• 6.9.8        Other functionalities. 111
• 6.10          Myths and legends after implementing DWH/BI 112
• 7        FCBI FUNCTIONALITIES. 116
• 7.1        Business Performance Management Definition. 117
• 7.2        Controlling, controlling and more controlling. 121
• 7.2.1        Historical development of controlling. 122
• 7.2.2        Regional development of controlling. 123
• 7.2.3        Controlling in Germany and Europe. 123
• 7.2.4        Definition of controlling. 124
• 7.2.5        Need for controlling in company. 125
• 7.2.6        Controller tasks. 125
• 7.2.7        Strategic and operative controlling. 127
• 7.2.8        Informatization in controlling. 129
• 7.2.9        Development of table calculators. 129
• 7.2.10     Strategic system.. 131
• 7.2.11     FCBI as part of corporate business intelligence. 131
• 7.2.12     FCBI users. 132
• 7.2.13     FCBI Model 134
• 7.3        Key FCBI Benefits. 137
• 7.4        Characteristics of controlling process supporting application. 139
• 7.4.1        Automatization of data feed from systems within and outside company. 142
• 7.4.2        DWH as data source for controlling. 144
• 7.4.3        Types of data transfers into controlling subsystem.. 145
• 7.4.4        Structure transfer. 146
• 7.4.5        Value transfer. 147
• 7.4.6        Granularity of planning and reporting. 147
• 7.4.7        Nonstructural data. 148
• 7.4.8        Data refresh. 149
• 7.4.9        Connections with application for strategic controlling and management 149
• 7.5        FCBI and controlling instruments. 149
• 7.6        Workflow.. 150
• 7.6.1        Automatization for planning purposes. 151
• 7.7        Reporting. 155
• 7.7.1        On time delivery of standard and access to quick ad-hoc reports. 155
• 7.7.2        Reporting functionalities. 157
• 7.8        Planning. 158
• 7.8.1        Planning process throughout complete company. 160
• 7.8.1        Planning types. 161
• 7.8.2        Including business areas within operative plan. 164
• 7.9        Consolidation. 166
• 7.10          Implementation of management accounting principles in order to support business decision process. 168
• 7.11          Adequate data protection and accessing user rights. 169
• 7.12          Viewing meta data of information model for controlling. 170
• 7.13          Types of FCBI applications on market and for supporting controlling. 170
• 7.13.1     Systems with predefined structure for quick implementation. 170
• 7.13.2     Open structure systems with or without predefined elements. 171
• 7.13.3     Totally opened systems based on OLAP multidimensional databases. 171
• 7.13.4     Table calculators with add ins. 171
• 7.14          Main common functionalities. 172
• 7.15          Data Store and integration. 174
• 8        TOTAL CONTROLLING CONCEPT – Controlling on steroids. 177
• 8.1        Relational knowledge. 181
• 8.2        Delta implementation. 187
• 8.3        Direct method. 187
• 8.4        Indirect method of calculation. 188
• 8.5        Formula editor. 191
• 8.6        Visualization. 192
• 8.7        Total Controlling Concept 194
• 9        DOs and DONTs – Our experiences for avoiding BI “KISS OF DEATH”. 200
• 9.1        Super Cubes. 200
• 9.2        “Learning on own mistakes” Culture. 201
• 9.3        Where can Business and Finance data be combined?. 202
• 9.4        Process – reporting issue. 202
• 9.5        IT experts leaving. 203
• 9.6        Reference Center for handling DWH/BI platform.. 204
• 9.7        What happens if company does not install DWH, BI, FCBI?. 205
• 9.8        “Hot potato”. 205
• 9.9        Motivation with TCC. 206
• 9.10          Changes in production systems – regular killer of reporting. 206
• 9.11          Egg or chicken – implementation of data definition issue. 207
• 9.11.1     General definitions for daughter companies. 208
• 9.11.2     Data Definitions Paradigm.. 209
• 9.11.3     Nobody is island. 210
• 9.12          “Single point of truth experts”. 210
• 9.13          Smart beans. 211
• 9.14          Do financial gurus really know what is behind figures?. 213
• 9.15          Multidimensionality Issue. 214
• 9.16          Which way to go. 214
• 9.17          BI and DWH culture. 215
• 9.18          Pitfall 215
• 9.19          Data feed for FCBI 216
• 9.20          Different types of dynamic systems, Manual Dynamic vs. Auto Dynamic. 217
• 9.21          Consultancy. 218
• 9.22          Risky vendors. 218
• 9.23          Information details. 219
• 9.24          Where to use table calculators?. 219
• 10     AT THE END.. 221
• 11     AFTERWORD.. 225
• 12     APPENDIX A – Table calculators and controlling. 229
• 12.1          Table calculator disadvantages as controlling platform.. 231
• 12.1.1     Set of tables from table calculators is not perceived as company’s IT source. 231
• 12.1.2     Time to make operative plan and forecasting is too long by using table calculator  232
• 12.1.3     Error susceptibility. 233
• 12.1.4     No versioning possibility in table calculators. 234
• 12.1.5     Connectivity with IT infrastructure is possible only by declaration. 234
• 12.1.6     Limited number of rows and columns. 234
• 12.1.7     Data access control 234
• 12.1.8     Dimensional problem.. 234
• 12.1.9     Inadequate replacing applications. 235
• 12.2          When is table calculator acceptable platform.. 236
• 13     ABBREVIATIONS and TERMS. 238
• 14     SOURCES. 239
• 15     FIGURES AND TABLES. 239

A decision support system (DSS) is a computer-based information system that supports business or organizational decision-making activities. DSSs serve the management, operations, and planning levels of an organization and help to make decisions, which may be rapidly changing and not easily specified in advance. DSSs include knowledge-based systems. A properly designed DSS is an interactive software-based system intended to help decision makers compile useful information from a combination of raw data, documents, personal knowledge, or business models to identify and solve problems and make decisions. Source and quote: http://en.wikipedia.org/wiki/Decision_support_systems