Prezentace předmětu:
INFORMATION MANAGEMENT
Vyučující:
Ing. Radim Dolák, Ph.D.
Název
prezentace
Název projektu
Rozvoj vzdělávání na Slezské univerzitě v Opavě
Registrační číslo projektu
CZ.02.2.69/0.0./0.0/16_015/0002400
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INFORMATION MANAGEMENT
11. ICT AND INNOVATION AS A SUPPORT FOR ENHANCING THE PERFORMANCE OF THE ENTERPRISE
Ing. Radim Dolák, Ph.D.

•The chapter on ICT and innovation as a boost to business performance is firstly focused on getting
to know the basic concepts of business performance such as performance, metrics, performance
management, efficiency, and effectiveness.
•In addition, attention is paid to Corporate Performance Management (CPM) and Business Intelligence
(BI).
•
Introduction

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üUnderstand the basic concepts of business performance
üGet acquainted with Corporate Performance Management (CPM)
üGet acquainted with Business Intelligence (BI)
ü
Goals of the chapter

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•Performance management is a traditional discipline of information management, as mentioned by
Doucek (2010).
•Extensive developments in IS / ICT have changed the speed and scope of solved tasks over the past.
With Corporate Performance Management (CPM) and Business Intelligence (BI) tools and tools, it is
possible to manage enterprise performance as a comprehensive entity and flexibly respond to changes
in the business and its surroundings.
•A number of activities at different levels of management have been automated and thus, more
attention can be devoted, for example, only to strategic decisions. These decisions can be based on
advanced visualization of complex data both directly from the enterprise and its surroundings. It
is also possible to compare different scenarios and to retrospectively evaluate and monitor the
success of the proposed strategy.
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Performance management

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•A highly competitive environment puts businesses at a disadvantage, with which they must be able
to cope. Essential, according to Kaplan and Norton (2007), are the following:
qmanaging activities in a global context,
qflexible organizational structures,
qoptimization of production and efficient supply-chain management,
qproduction of quality services,
qcontinuous innovation and improvement of the quality of products and services,
qthe changing nature of work, knowledge management in the enterprise, continual improvement of
internal processes,
qimplementation of information systems that effectively support all essential processes (both
internal and external).
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Performance management

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•The basic terms of business performance include the following: performance, metrics, performance
management, efficiency, and effectiveness.
•
•According to Šulák and Vacík (2004), performance is defined as "the ability of an enterprise to
best value the investments embedded in its business activities".
•
•The metric is, according to Novotný (2008), a precisely defined measure that is used to evaluate
the specified attributes. An exact definition is a defined procedure that is used to obtain a
measured value, including the design and application of measurement dimensions and a definition of
how the acquired values will be compared and interpreted.
Performance management

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•Effectiveness is, according to Luthra (2007), a comparison of what was actually created with what
could be created with the same range of use of routine resources as money, time and labor.
•
•Efficiency is defined as the measure that characterizes the fulfillment of planned goals without
cost.
•
•According to Luthra (2007), then effectiveness determines whether things are done correctly and
effectiveness again determines whether the right things are done.
•
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Performance management

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•Corporate Performance Management (CPM) is the most powerful performance management system. The
term Corporate Performance Management itself appeared at the end of the 1990s but was not clearly
defined and defined. It is only after 2000 that Gartner has created a uniform definition recognized
by the academic and commercial environments.
•
•Corporate Performance Management (CPM) is a comprehensive term describing all processes, methods,
metrics, and systems needed to measure and manage organization performance (Geischecker and Rayner,
2001). Outputs are based on aggregated data and serve as the basis for strategic decisions of
senior management (Bruckner, 2012)
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•
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Corporate Performance Management (CPM)

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•CPM is a holistic approach to implementing and monitoring a corporate strategy, combining Coveney
(2003):
qMethodologies - including methodologies that support efficient and effective business management
(for example Balanced Scorecard). At the same time, the implantable methodology of CPM system
suppliers (for example Cognos),
qMetrics - which are defined in the implementation of these methodologies in an enterprise,
qProcesses - used by an enterprise to implement and monitor performance management,
qApplications and technology - Information systems to support performance management at all
enterprise levels that support the methodology, metrics, and processes.
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Corporate Performance Management (CPM)

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•Performance management is enterprise-focused and typically includes the following components
(Felkner, 2010):
qStrategic planning - creating, communicating, deploying, monitoring, and managing corporate
strategic plans for tasks, budgets, actions, people, and performance goals.
qPlanning, budgeting, and forecasting - for example, testing various scenarios, developing
realistic budgets, identifying trends and performance imbalances, and updating plans and budgets.
qConsolidation - for example, the implementation of fiscal consolidation makes it possible to
streamline and manage the whole process of verifying, consolidating, reporting and submitting
financial data.
Corporate Performance Management (CPM)

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qReporting - an attempt to automate the generation, formatting, and distribution of financial
statements and management reports from accounting books.
qExpenditure management - the goal is to ensure that the impact of effective spending management
over the employees can have an impact on overall profitability.
qAnalyzes - to monitor key performance indicators in real time and to test trends in order to
prepare for change and respond quickly.
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Corporate Performance Management (CPM)

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•Business Intelligence tools are also being used to boost business performance.
•
•Business Intelligence (BI) can be defined as a set of skills, knowledge, and technology that can
be used in business to gain a better understanding of market behavior and business contexts.
•Within BI, for this purpose, the collection, analysis, interpretation, and presentation of
important business information that may contain the collected information itself or the explicit
knowledge gained from the information is carried out.
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Business Intelligence (BI)

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•What are the main benefits of using Business Intelligence?
qmore detailed and clear outline of the actual state of each area,
qdiscovering hidden links and contexts,
qcomprehensive access to all data,
qquality analyzes and outputs in the form of reports, dashboards, and forecasts,
qeffective implementation of the company information system,
qflexibility and flexibility to provide reporting/analysis capability.
•
•
Business Intelligence (BI)

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•According to Laberge (2012), BI technology can be used for many purposes including:
qperformance measurement or base level determination,
qtrend and prediction analysis,
qassociated grouping, market basket analysis or segmentation,
qpower management,
qassociative analysis or data mining,
qanalysis of the subject areas.
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Business Intelligence (BI)

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•What data does Business Intelligence work with? These are predominantly structured data from
relational databases.
•These data are processed within the first stage within the ETL, which is an abbreviation for
extracting, transforming and uploading data to a data warehouse. Data can be extracted from various
data sources, such as relational databases, spreadsheets, and other structured data sources.
Subsequently, the data format is transformed.
•This data is then uploaded to the data warehouse, which serves as the primary data source for BI
applications. What's important is that the data is stored in a historical warehouse in a historical
form, allowing you to report the development of that metric over time.
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Business Intelligence (BI)

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•In terms of basic concepts in BI, multidimensionality and granularity of data are emerging.
•Multidimensionality consists of several dimensions that can be explained by not looking at
in-house data and relationships with just one glance, but from multiple views of angles of view.
Working with dimensions is mainly appreciated by analysts because this feature allows us to get a
better insight into the issue. A multidimensional cube and OLAP are key to this process.
•According to Pour, Maryška, and Novotný (2012), the granularity of the data determines the level
of detail of the datafacts, stored in the facts table.
•The granularity of the data in the fact table is directly dependent on the number and level of
detail details corresponding to the relevant factsheet.
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Business Intelligence (BI)

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•Common Business Intelligence applications typically include the following areas:
qreporting,
qsupport for analyzes,
qdata cubes (OLAP),
qdashboard, balanced scorecard,
qdata mining,
qbusiness Performance Management (CPM),
qsupport planning and predictive analysis.
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Business Intelligence (BI)

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•According to Novotný, Pour and Slánský (2005), tools and applications for implementing Business
Intelligence include:
qproduction, source systems,
qData Staging Area (DSA);
qOperational Data Store (ODS),
qTransformation Tools (ETL),
qIntegration tools (EAI - Enterprise Application Integration),
qData Warehouses (DWH)
qData Markets (DMA - Data Marts),
qOLAP,
qreporting,
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Business Intelligence (BI)

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qManaged Applications (EIS) - Executive Information System,
qData Mining,
qdata quality tools,
qmetadata management tools.
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Business Intelligence (BI)

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•From the point of view of using BI tools in business practice, it can be said that nowadays, BI is
not the size of the business, because there are BI solutions from small businesses to large
multinational companies.
•BI is therefore primarily intended for any business that demands a correct and rapid analysis of
its own data, needs, and resources. Small businesses can use BI tools in cooperation with, for
example, Microsoft Office (Excel, Access) with built-in applications to output and update data.
•On the other hand, global companies will use highly sophisticated and financially demand. But
there are also opensource BI tools on the market such as Pentaho, Jaspersoft or BIRT.
•
Business Intelligence (BI)

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THANK YOU FOR YOUR ATTENTION