Organizational Information Systems and Their Impact © Gabriele Piccoli Chapter 3 Vocabulary and concepts to categorize different Information Systems.

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Organizational Information Systems and Their Impact © Gabriele Piccoli Chapter 3 Vocabulary and concepts to categorize different Information Systems

© Gabriele Piccoli Categorizing Systems The Hierarchical Perspective The Functional Perspective The Process Perspective

What is the Hierarchical Perspective? Decision making and activities in organizations occur at different levels Individuals –have different responsibilities –make different types of decisions –carry out different types of activities Having the correct information at the correct level is important © Gabriele Piccoli

Hierarchical Perspective (Categories) ActivityTime horizonHierarchical levelCharacteristics StrategicLong termGeneral management Functional management  Externally focused  Ad-hoc  Highly unstructured TacticalMid termMiddle management  Repeatable  Semi-structured  Recurrent OperationalShort termFront line employees  Low discretion  Highly structured  Transaction focused

Operational Characteristics © Gabriele Piccoli

Tactical Activities The activities performed tend to be semi structured, having both well-known components and some degree of uncertainty Decision making at this level is typically semi structured, but characterized by repeatable patterns and established methods The objective is to improve the effectiveness of the organization, or one of its functions, within the broad strategic guidelines set by the executive team © Gabriele Piccoli

Strategic Activities Decision making at this level is highly unstructured Reliant on internal as well as external data sources Focus on making decisions by evaluating trends Little structure and formal methodologies exist for activities at this level © Gabriele Piccoli

Hierarchical Perspective

© Gabriele Piccoli Today’s Hierarchy Adoption of flatter hierarchies between front-line operations and strategic decision-making –Empowerment Limitation: –Difficult to neatly separate information systems in clear cut categories

Functional Perspective Functional systems are expressly designed to support the specific needs of individuals in the same functional area Functional systems are based that information processing needs are unique and homogeneous within a functional area Optimal systems are tailored to those highly specific needs and use a language that is familiar to the professionals in that area. © Gabriele Piccoli

Why Process Perspective The functional and hierarchical perspectives are limited by: –Lack of integration of separate systems –Leading to: Redundancy Inefficiency

Business Process Focus Breaks down functional barriers, focusing on the activities of the business © Gabriele Piccoli

Functional Perspective © Gabriele Piccoli

Business Integration The introduction of cohesive, streamlined business processes that encompass previously separate activities Objective: –Presenting “one face” to the customer –Providing solutions –Achieving global inventory visibility

© Gabriele Piccoli Systems Integration Unification or tight linkage of IT-enabled information systems and databases Types of systems integration: –Internal –External

© Gabriele Piccoli Integration Why so much lack of integration –Coordination costs –Mergers and acquisitions

© Gabriele Piccoli Application and Data Integration

© Gabriele Piccoli The Integration Trade-offs Benefits –Reduction of duplication and redundancy –Better access to information –Quicker response time Drawbacks –Increased coordination costs –Reduced local flexibility –Reduced ability to innovate

Enterprise Systems Class of standardized software applications that are designed to enable and support integrated business processes Firms typically live and die by their enterprise systems © Gabriele Piccoli

ERP Vendors © Gabriele Piccoli

ERP Models & Functionality Financials Accounts receivable and payable Asset accounting Cash management and forecasting Financial consolidation General ledger Product-cost accounting Profit-center accounting Human Resources Payroll Personnel planning Travel expenses Operations and Logistics Inventory management Material requirements planning Materials management Plant maintenance Production planning Routing management Shipping Sales and Marketing Order management Pricing Sales management Sales planning © Gabriele Piccoli

ERP Pros & Cons Advantages Efficiency Responsiveness Knowledge infusion Adaptability Standardization Disadvantages Standardization and lack of flexibility Is the best practice embedded in the enterprise system really the best practice? High costs © Gabriele Piccoli

ERP Failures © Gabriele Piccoli

The Information Systems Cycle Models the progression of data –From its inception in transaction processing systems –To its storage in data repositories –To its use in analytical tools © Gabriele Piccoli

Knowledge Management (kM) Set of activities and processes used to create, codify, gather, and disseminate knowledge within the organization –Creating Knowledge employees generate new information, devise novel solutions to handle existing problems, and identify new explanations for recurrent events. –Capturing and Storing Knowledge enables the organization to codify new knowledge and maintain an organizational memory –Disseminating Knowledge investments made in knowledge creation and storage pay off © Gabriele Piccoli

Business Intelligence Ability to gather and make sense of information about your business Encompasses the set of techniques, processes, and technologies designed to enable managers to gain superior insight and understanding of their business and thus make better decisions © Gabriele Piccoli

Components of BI Data Warehouse – Data repository that collects and consolidates data from multiple source systems with the purpose of enabling analysis Data Mart –Scaled-down version of a data warehouse that focuses on the needs of a specific audience Online Analytical Processing (OLAP) –Class of software programs that enable a knowledge worker to easily and selectively extract and view data from analytical database Data Mining –Process of automatically discovering non-obvious relationships in large databases © Gabriele Piccoli

Customer Relationship Management (CRM) CRM is a strategic initiative, not a technology Information technology is an essential enabler of all but the smallest CRM initiatives The ultimate objective of a CRM initiative is to help the firm use customer data to make inferences about customer behaviors, needs, and value to the firm so as to increase its profitability © Gabriele Piccoli