Strategic Information Systems

Strategic Information Systems

Introduction

One of the most significant and quickly increasing disciplines in business today is information systems. Information systems are used to acquire a market edge, manage information, and convert company processes into electronic commerce. Strategic Information Systems (SISs) that drive competitive advantages are covered in this post.

Information systems may be strategically developed to aid corporate transformation and create competitive advantages through the use of information technology (IT). IT-enabled SISs are critical facilitators of corporate change and can provide a competitive advantage. Technology is developing at such a quick pace that firms must assess their present information systems strategy in order to achieve or maintain a competitive edge. Naturally, organizations must connect their IT demands with their entire strategy, but the notion of alignment has not been properly implemented. Technology is developing at such a quick pace that enterprises must assess their present information systems strategy in order to achieve or maintain a competitive edge.

Naturally, organizations must connect their IT demands with their entire strategy; nevertheless, many firms have not completely embraced the alignment notion.

Lifecycle

SThus, data lifecycle management is the process of resolving these challenges in order to increase data quality. The purpose of data lifecycle management is to guarantee that data from all elements of the company (including business processes) is integrated and consistent. Because a company has access to reliable information about its customers or goods, it can make better judgments regarding its operations and strategy.?

Delegates from each department offer input into the system by obtaining relevant information from their own sources; for example, an employee may acquire price information about a certain product type from other employees who specialize in sales or marketing.

The obtained information is then analyzed by experts within each departmental domain; they look at trends across departments rather than just individual units within those domains, allowing them to generate insights into how different conditions affect various areas like supply chain management or customer service efficiency levels across several departments working together on a single project, such as launching a product line extension based on existing inventory.

Decision Support Systems

Decision Support Systems (DSS) are computer-based systems that aid managers in decision-making. DSS are used to help with decision-making, knowledge management, planning, forecasting, and control.

Decision Support Systems are computer-based technologies that aid individuals in reaching conclusions or making choices. They support knowledge management by retrieving data from databases and integrated systems; providing information services for strategic planning; assisting in monitoring performance against targets by providing real-time statistical analyses; and providing feedback from one part of an organization to another to ensure that each component works together to achieve overall objectives. Expert Systems and Information Systems are the two types of Decision Support Systems.

Data quality

The degree to which data is complete, consistent, and accurate is referred to as data quality. The quality of data has a direct influence on the judgments made based on the data.

Data quality may be controlled by monitoring and optimizing procedures that collect, convert, load, validate, and update information on a regular basis to assure its accuracy. Monitoring entails observing changes in business requirements and gathering data at regular intervals to determine whether or not projected benefits from current or prospective projects have been achieved. Data quality should be viewed as an integral part of an organization's overall business strategy for information systems, rather than as a distinct process or project inside IT management.

Analysis

The process of evaluating data to understand what is going on in the organization and to uncover trends and patterns is known as analysis.?

? Searching for trends in your data (for example, are sales increasing or decreasing?)

? Identifying client behavior trends (what do your top 10% of consumers do?)

? Determining what actions individuals take at various stages of the purchasing process. By recognizing these activities and points, you may anticipate possible issues before they occur. This allows you to improve your client experience by resolving issues before they arise.

Integration

Data integration is the process of merging data from many sources. It can be performed in real time or batch mode, and at the application or data level. The procedure entails taking data from one source, converting it to a different format, and feeding it into another target system. Data integration often entails numerous difficult procedures, such as: ? connecting various systems; and ? extracting data from one application and transforming it into a general format.

? Transferring translated records to another application or database; and

? Synchronizing user changes in either application (i.e., getting updates on both sides).

Conclusion

Strategic information systems are not a new concept, but they are becoming increasingly relevant in today's competitive economic climate. Building an IS that does not generate value may be costly and risky for businesses. However, the benefits of getting it properly are considerable. Forward-thinking companies are emphasizing these systems as part of their entire company strategy. We cannot exaggerate the importance of Strategic Information Systems in the future—they will make or break your enterprise in this ever-changing technological environment!

Seyed Mohammad Hossein Seyedi Rezvani

PhD student @tecnico Construction Manager | P.E.(OE2C6) | Asset, Risk, Resilience, GIS, Data & Decision analyst | Civil Eng.