Intelligence And Business Intelligence Essay

Supply Chain Management (SCM) aims at integrating all corporate activities to improve relationships at all levels (internal operations, supplier networks, and distribution channel) to meet the competitive edge and satisfy the customer. In order to build an effective and complete business process that supports SCM, information among all business partners need to be shared. Information sharing through the Internet reduces the gap for business-to-business (B2B) commerce by enabling seamless integration with enterprise processes among partner corporations.

Data mining offers a way to successfully manage the Air Force supply chain. Through data mining we can extract accurately calculated models along the chain which will enable us to generalize information, detect deficiencies, and identify possible areas for improvement. The Air Force could also apply data mining to pricing, forecasting and the transactional relationship between wholesale and retail supply. These findings or solutions should adhere to all Air Force security, safety, and applicable regulations in order to prevent issues that might occur in such versatile environments both stateside and overseas.

Effective supply chain management can provide an important competitive advantage for a business marketer, resulting in improved communication and involvement among members of the chain, increased motivation, and decreased costs. Tracking the movement of and demand for components used to manufacture a product across a variety of potential and actual suppliers, provides insight and the ability to respond instantly to shortages, surpluses, and changes in market conditions. It seeks to optimize production, decrease manufacturing time, minimize inventory, streamline order fulfillment, and reduce cost.

Supply chain management (SCM) is the efficient management of the flows of material, data, and money in the supply chain. SCM software concentrates on improving decision making, forecasting, optimization, and analysis. The benefits of SCM have long been recognized in business, government, and the military. In today’s competitive business environment, efficient, effective supply chains are critical to survival and fully dependent on SCM software, which depends on up-to-date and accurate data. If the network goes down or data are outdated, those managing the supply chain are mostly working

By implementing a data management system it will ensure that Alpha can keep accurate records which will allow the identification of key trends and indicators within their supply chain. In turn this will have the effect of increasing overall business efficiency and performance as staff and management can easily and actively identify strengths and weaknesses through the recording, storing, sharing and analysis of relevant business process outcomes.

Walmart is the biggest retailer in the world and handles more than one million customer transactions every hour and generates more than 2.5 petabytes of data storage (Venkatraman & Brooks, 2012). To put this into perspective, this data is equivalent to 167 times the number of books in America’s Library of Congress (Venkatraman & Brooks, 2012). So how can Wal-Mart use this massive amount of data and what useful information can this data provide? This paper will provide a brief overview of the importance of Business Intelligence (BI) and how the largest retailer in world, Walmart, is using it.

In the increasingly competitive global business environment, each organization needs to take advantage of every tool, opportunity, and advantage it can to achieve the best products and services, to gain and maintain market share, and keep stakeholders happy from investors and workers to supply chain and customers. The advance of data analysis has opened up new vistas to support decision making. Decision support systems (Sauter, 2010) have emerged that process various forms of data to build outcome models. These have been adopted in every segment of society, in the private and public sector, from political campaigns and the military to corporations and nonprofits alike. As a whole, the new set of tools involving the strategic use of data is called business intelligence. Within that general framework, the term analytics refers to the statistical, quantitative use of data to produce explanatory and predictive models for fact-based decision making. (Sauter, 2010).

KDLA transformed its business approach in order to modernize their supply chain processes and systems. This newly implemented process included order fulfillment, supply and demand planning, material management, procurement and financial management process. However, the agency didn 't simply approach this change by using big data set analytics to develop a logistics supply chain applications to grow or compete with private entities or other federal agencies. Instead they continued to develop their service offerings in reaction to the needs driven by the customers.

Business intelligence (BI) is a technology-based procedure for analysing data and giving decision based information to help corporate executives, business managers and other end users make more informed business decisions. BI comprises a variety of tools, applications and methodologies that enable organizations to collect data from different sources such as internal systems and external sources, prepare it for analysis, develop and run queries against the data, and create reports, analytic dashboards and data visualizations to make the analytical results available to corporate decision makers as well as operational workers. Simply put, Business Intelligence is technology process that assists in the conversion of raw data into meaningful information. It helps you analyse the past and come up with the strategy to improve the future. When organizations carry out their day- to -day operation, raw data is generated and mostly stored in a database .This data needs to be analysed and meaningful information extracted from it. Based on this output, come up with future strategy that will grow the company. Making future decisions directly from raw data is impossible as a result there is need for the data to be converted into meaningful data. Management makes use of this information to take fact based decision that will result to a better future. The data used for Business Intelligence analysis comes from OLTP (Online transaction processing).These are daily transaction that takes place

All great organizations share one thing in common, the use of business intelligence. Business intelligence (BI) provides tools that revolutionize the way organizations manage business and decision-making. It allows them to transform mass amounts of raw data into reliable information necessary to make important business decisions. BI delivers relevant and reliable information to those who seek it with the goal of achieving better decisions faster. An employee is independently able to navigate through a company’s data and find what he or she needs without relying on others. This means an organization no longer needs to dig through compiled webs of linked spreadsheets, analyze the data manually and mash together reports. Instead, employees can use BI systems to request the specific information that is useful for them (Hitachi Solutions Canada, 2014). BI allows managers to reach the most accurate and contemporaneous information an organization’s database cannot retrieve. The software offers applications for both data analysis and presentation of results. Applications such as data mining and decision support systems allow one to contemplate how he or she wants to analyze the data. Data mining refers to the process of searching for valuable business information in a large database, data warehouse, or data mart. Decision support systems combine models and data in an attempt to analyze semi structured and some unstructured problems with

This is a kind of predictive analytics which helps to give idea about most critical factors affecting the growth. Business intelligence is proved to be beneficial in decision making. We analyze all data like orders, inventory, accounts, and point of sale transactions and also of customers.

While researching on line I came across an article that described the affect that the Internet is having on supply chains today. “E-enabled supply chain management is fast emerging as a core strategy that organizations worldwide are adopting for sustainable business advantage”. (4)

SAP excels at taking complex, challenging data and turning it into information with enterprises, and the website and supporting materials illustrate this point through over a dozen customer success stories. Based on the customer testimonials and the series of white papers, demos and supporting materials, it is apparent that SAP Crystal Solutions is ideally suited for enterprise-wide analytics and BI-based work in enterprises. The most interesting case studies are focused on the most complex problems that enterprises face incouding optimizing the performance of supply chains, pricing, and logistics programs within globally-based companies. SAP has a legacy of strength in delivering solutions into supply-chain based businesses and the depth of the SAP Crystal Solutions suite of applications illustrates this point (Curry, 1999). SAP's success stories for this suite of

Today’s global supply network relies heavily on the accuracy and efficacy of detailed reporting based on advanced metrics and criteria. Without these optimized reporting capabilities, manufacturing companies can find it difficult to create the accurate modeling and forecasting necessary to ensure more effective demand capacity planning and production programs. Through greater production control across a wide supply stream and enhanced capabilities to gather, sort, and collaborate on complex data sets, advanced analytics allows planners and managers to generate more accurate, detailed reports that foster more effective, precise modeling in future planning.

The length of the supply chains for several US companies is being increased by the current global competition and outsourcing. This makes it vital for these industries to utilize a systems approach to consider the big picture in their decision-making. Applying a systems approach is important in enhancing supply chain agility. This is because integrating the systems approach in supply provides a unit set of common and reliable data across an organization’s chain of production and supply. This approach will also allow for a secure multitier visibility to enhance