Decision support systems DSS

Business Intelligence BI&

Performance Management Application

Database DR. Rasha Abd Elaziz

Submitted by:Sarah Abd El Fattah

content Decision support systems (DSS) Decision software Business Intelligence (BI) AS

(DSS) Business Intelligence concept Business Intelligence Tools • (BI) Functions• Key tools categories

(BI) key features AIDSS_HR Application

Decision support systems

Decision Support System (DSS) is a collection of Programs/Software used for decision-making.

Such programs help the management of organizations in planning, forecasting and managing large and complex Issues.

DSSs usually include a modeling capability that enables mathematical simulation of a situation in order to test various tactics, intelligence and strategies.

Once the model is built, various approaches can be tested.

Decision Software Decision Software are special kinds of

algorithmic software designed to help individuals make decisions.

Decision Software examine data given to them and suggest an optimum decision or conclusion.

Software can help users make a decision on a complex problem.

The aim is to choose the best out of several alternatives.

Business Intelligence AS DSS

Business intelligence aims to support better business decision-making, thus a BI system can be called a (DSS).

(BI) Tools are application software designed to retrieve, analyze and report data.

The tools generally read data that have been previously stored, often in a data warehouse.

(BI) technologies has experienced high growth and gained lot of popularity.

BI concept It is defined as the application of a set of methodologies and

technologies, such as (DOTNET, Web Services, XML, data warehouse, Data Mining, representation technologies, Etc.), to improve enterprise operation effectiveness, support management/decision to achieve competitive advantages.

BI is “a set of concepts, methods, and technologies for turning separated -yet related in use- data in an organization into useful information in order to improve business performance”.

In a Business Intelligence environment, data from various sources are Extracted, Transformed and Loaded (ETL) into an Enterprise Data Warehouse (EDW)

From the EDW, they are used for generation of Reports and queries across the organization.

Business Intelligence stages

BI Tools Common functions of business

intelligence technologies are reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics.

Types of business intelligence tools

The key general categories of business intelligence tools are :

Spreadsheets Reporting and querying software: tools that extract, sort,

summarize, and present selected data. OLAP: Online analytical processing Digital dashboards Data mining Data warehousing Decision engineering Process mining Business performance management Local information systems

BI Delivery Mechanisms Scheduled Reports: reports are generated at regular intervals

These typically say „What happened?‟

Ad-hoc/User Query Tools: help business to query the data and make conclusions about „ Why did it happen?‟

Dashboards: are BI solutions where analysis and reporting tools are used to provide feedback on the achievement of KPIs. to improve organization's ability to make correct decisions. By showing „As a company, how are we performing?‟

Trend Analysis Reports: These business analytics solutions involve data mining to determine the historic behavior of a subject, or group of subjects.

Forecasting: This BI solution allows an insurer to figure out –„What is going to happen next?‟ based on evaluation of current and historic data.

Key Features of BI Architecture

High quality data: Data presented to the business should be of high quality and consistent.

Data which is presented to business should be correct, complete and current.

Data sources should be accurately identified.

Data storage and maintenance – should follow a number of processes, checks and balances.

Selection of suitable ETL (Extract – Transform – Load) Tools.

HR Management support system (DSS Application)

Why to use a DSS in HRM? Effective performance management

solutions can improve: • employee goal planning• career development• competency assessment • Performance appraisal• compensation management • organizational alignment

AIDSS-HRM

What is AIDSS? An Automated Intelligent Decision

Support Systems. (AIDSS) is a DSS that make extensive

use of (AI) in a more improved procedure which can be used to provide solutions for some of the HR management challenges of employee performances in an organization.

Model Structure

Our System is made up of the main development activities as listed below: Feasibility Studies (FS) User Interface Module (UIM) Data Input and Editing Module (DIEM) Intelligent Analyzer Module (IAM) Documentation. Considering only the software lifecycle phases without implementation phases like training and support

Development Methodology

In this model the system is Designed. Implemented. Integrated Tested as a series of incremental sessions.It is a popular software evolution model used in many commercial software companies and system vendors

System Components

User Interface (UI): That enables (effective operations, control and feedback to aid the operator in making operational decisions).

Intelligent Analyzer (IA): This is an interface that consists of two main components ( knowledge and rule based) to store the knowledge and rules used to check and enhance employee performance. IT analyzes all available data to act as a tool for decision processes.

Data Input/Edit Module (DIM): a component used to accept and modify data for any errors.

Data Repository (DR): DR is a pennant storage location where all refined data are stored.

Data Protection Module (DPM): connects the system to the web and responsible for security of all data stored.

System Components

AIDSS-HR Model Architecture