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INTEGRATING FUNCTIONS AND BUSINESS PROCESSES:
INTRODUCTION TO ENTERPRISE APPLICATIONS Business Processes and Information Systems The new digital firm business environment requires companies to think more strategically about their business processes, which we introduced in Chapter 1. Business processes refer to sets of logically related activities for accomplishing a specific business result. Business processes also refer to the unique ways in which organizations and management coordinate these activities. A company’s business processes can be a source of competitive strength if they enable the company to innovate better or to execute better than its rivals. Business processes can also be liabilities if they are based on outdated ways of working that impede organizational responsiveness and efficiency. Some business processes support the major functional areas of the firm, others are cross-functional. Table 2-6 describes some typical business processes for each of the functional areas.
Many business processes are cross-functional, transcending the boundaries between sales, marketing, manufacturing, and research and development. These cross-functional processes cut across the traditional organizational structure, grouping employees from different functional specialties to complete a piece of work. For example, the order fulfillment process at many companies requires cooperation among the sales function (receiving the order, entering the order), the accounting function (credit checking and billing for the order), and the manufacturing function (assembling and shipping the order). Figure 2-12 illustrates how this cross-functional process might work. Information systems support these cross-functional processes as well as processes for the separate business functions.
Systems for Enterprise-Wide Process Integration Today’s firms are finding that they can become more flexible and productive by coordinating their business processes more closely and, in some cases, integrating these processes so they focus on efficient management of resources and customer service. Enterprise applications are designed to support organization-wide process coordination and integration. These enterprise applications consist of enterprise systems, supply chain management systems, customer relationship management systems, and knowledge management systems. Each of these enterprise applications integrates a related set of functions and business processes to enhance the performance of the organization as a whole.Generally, these more contemporary systems take advantage of corporate intranets and Web technologies that enable the efficient transfer of information within the firm and to partner firms. These systems are inherently cross-level, cross-functional, and business process oriented. Figure 2-13 shows that the architecture for these enterprise applications encompasses processes spanning the entire organization and, in some cases, extending beyond the organization to customers, suppliers, and other key business partners.
Enterprise systems create an integrated organization-wide platform to coordinate key internal processes of the firm. Information systems for supply chain management (SCM) and customer relationship management (CRM) help coordinate processes for managing the firm’s relationship with its suppliers and customers. Knowledge management systems enable organizations to better manage processes for capturing and applying knowledge and expertise. Collectively, these four systems represent the areas in which corporations are digitally integrating their information flows and making major information system investments. Overview of Enterprise Applications Let’s look briefly at each of the major enterprise applications to see how they fit into the overall information architecture of the enterprise. We examine enterprise systems and systems for supply chain management and customer relationship management in greater detail in Chapter 11 and cover knowledge management applications in Chapter 12. OVERVIEW OF ENTERPRISE SYSTEMS A large organization typically has many
different kinds of information systems that support different functions,
organizational levels, and business processes. Most of these systems were
built around different functions, business units, and business processes
that do not “talk” to each other and thus cannot automatically
exchange information. Managers might have a hard time assembling the data
they need for a comprehensive, overall picture of the organization’s
operations. For instance, sales personnel might not be able to tell at
the time they place an order whether the items that were ordered were
in inventory; customers could not track their orders; and manufacturing
could not communicate easily with finance to plan for new production.
This fragmentation of data in hundreds of separate systems could thus
have a negative impact on organizational efficiency and business performance.
Figure 2-14 illustrates the traditional arrangement of information systems.
Enterprise
systems, also known as enterprise resource planning (ERP) systems solve
this problem by providing a single information system for organization-wide
coordination and integration of key business processes. Information that
was previously fragmented in different systems can seamlessly flow throughout
the firm so that it can be shared by business processes in manufacturing,
accounting, human resources, and other areas. Discrete business processes
from sales, production, finance, and logistics can be integrated into
company-wide business processes that flow across organizational levels
and functions. Figure 2-15 illustrates how enterprise systems work.
The enterprise system collects data from various key business processes in manufacturing and production, finance and accounting, sales and marketing, and human resources and stores the data in a single comprehensive data repository where they can be used by other parts of the business. Managers emerge with more precise and timely information for coordinating the daily operations of the business and a firmwide view of business processes and information flows. For
instance, when a sales representative in Brussels enters a customer order,
the data flow automatically to others in the company who need to see them.
The factory in Hong Kong receives the order and begins production. The
warehouse checks its progress online and schedules the shipment date.
The warehouse can check its stock of parts and replenish whatever the
factory has depleted. The enterprise system stores production information,
where it can be accessed by customer service representatives to track
the progress of the order through every step of the manufacturing process.
Updated sales and production data automatically flow to the accounting
department. The system transmits information for calculating the salesperson’s
commision to the payroll department. The system also automatically recalculates
the company’s balance sheets, accounts receivable and payable ledgers,
cost-center accounts, and available cash. Corporate headquarters in London
can view up-to-the-minute data on sales, inventory, and production at
every step of the process, as well as updated sales and production forecasts
and calculations of product cost and availability. Chapter 11 provides
more detail on enterprise system capabilities. Supply chain management systems are one type of interorganizational system because they automate the flow of information across organizational boundaries. A firm using a supply chain management system would exchange information with its suppliers about availability of materials and components, delivery dates for shipments of supplies, and production requirements. It might also use the system to exchange information with its distributors about inventory levels, the status of orders being fulfilled, or delivery dates for shipments of finished goods. You will find examples of other types of interorganizational information systems throughout this text because such systems make it possible for firms to link electronically to customers and to outsource their work to other companies. Table 2-7 describes how firms can benefit from supply chain management systems. The ultimate objective is to get the right amount of their products from their source to their point of consumption with the least amount of time and with the lowest cost. Supply chain management systems can be built using intranets, extranets, or special supply chain management software.
Figure
2-16 illustrates the supply chain management systems used by Haworth,
a world-leading manufacturer and designer of office furniture described
in the Window on Technology. Haworth needed to synchronize manufacturing
and distribution activities to cut costs and boost efficiency by having
material flow continuously from multiple manufacturing centers to multiple
distribution centers. It implemented new systems for warehouse management
and transportation management. These systems enable Haworth to deliver
multipart shipments requiring assembly in the correct sequence, accommodate
shipping volumes that can vary by a factor of 10 from one day to the next,
and handle last-minute changes in customer orders.
OVERVIEW OF CUSTOMER RELATIONSHIP MANAGEMENT SYSTEMS Instead of treating customers as exploitable sources of income, businesses are now viewing them as long-term assets to be nurtured through customer relationship management. Customer relationship management (CRM) systems focus on coordinating all of the business processes surrounding the firm’s interactions with its customers in sales, marketing, and service to optimize revenue, customer satisfaction, and customer retention. The ideal CRM system provides end-to-end customer care from receipt of an order through product delivery. In
the past, a firm’s processes for sales, service, and marketing were
highly compartmentalized, and these departments did not share much essential
customer information. Some information on a specific customer might be
stored and organized in terms of that person’s account with the
company. Other pieces of information about the same customer might be
organized by products that were purchased. There was no way to consolidate
all of this information to provide a unified view of a customer across
the company. CRM systems try to solve this problem by integrating the
firm’s customer-related processes and consolidating customer information
from multiple communication channels— telephone, e-mail, wireless
devices, or the Web—so that the firm can present one coherent face
to the customer (see Figure 2-17).
Good CRM systems provide data and analytical tools for answering questions such as these: What is the value of a particular customer to the firm over his or her lifetime? Who are our most loyal customers? (It can cost six times more to sell to a new customer than to an existing customer.) Who are our most profitable customers? What do these profitable customers want to buy? Firms can then use the answers to these questions to acquire new customers, provide better service and support to existing customers, customize their offerings more precisely to customer preferences, and provide ongoing value to retain profitable customers. OVERVIEW OF KNOWLEDGE MANAGEMENT SYSTEMSThe value of a firm’s products and
services is based not only on its physical resources but also on intangible
knowledge assets. Some firms perform better than others because they have
better knowledge about how to create, produce, and deliver products and
services. This firm knowledge is difficult to imitate, unique, and can
be leveraged into long-term strategic benefit. Knowledge management systems
collect all relevant knowledge and experience in the firm and make it
available wherever and whenever it is needed to support business processes
and management decisions. They also link the firm to external sources
of knowledge. Knowledge
management systems support processes for acquiring, storing, distributing,
and applying knowledge, as well as processes for creating new knowledge
and integrating it into the organization. They include enterprise-wide
systems for managing and distributing documents, graphics, and other digital
knowledge objects, systems for creating corporate knowledge directories
of employees with special areas of expertise, office systems for distributing
knowledge and information, and knowledge work systems to facilitate knowledge
creation. Other knowledge management applications are expert systems that
codify the knowledge of experts in information systems that can be used
by other members of the organization and tools for knowledge discovery
that recognize patterns and important relationships in large pools of
data. Table 2-8 provides examples of knowledge management systems, and
Chapter 12 describes these knowledge management applications in detail.
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