Analysis of SAP Crystal Solutions

In the case of real-time analysis dashboards have become very popular over the past five years they provide a view of key metrics to allow management by exception. Where post transaction data is being analyzed, data warehousing provides the ideal methodology for enhanced forecasting from the data. This also allows the ability to look for improvements in the supply chain, operations, and marketing to adjust processes and refine a message for marketing as part of a continuous improvement program.

One of the main functions of any business is to be able to use data to leverage a strategic competitive advantage. The use of relational databases is a necessity for contemporary organizations; however, data warehousing has become a strategic priority due to the enormous amounts of data that must be analyzed along with the varying sources from which data comes. Company gathers data by using Web analytics and operational systems, we must design a solution overview that incorporates data warehousing. The executive team needs to be clear about what data warehousing can provide the company.

SAS Enterprise Miner analyses enormous data amount across the organization to provide descriptive and predictive models through data mining process. Through this, useful insights and fact based decisions can be made by analysing complex data.

SYSPRO is one of the largest ERP software vendors who serve more than 60 countries across the world. Over 14,500 licensed companies use SYSPRO ERP solutions as they provide control over the planning and management of all the areas of business including manufacturing, accounting and distribution. With 35 years of experience and the highest customer retention rates in the industry SYSPRO has been proven their ability of delivering unique industrial standard ERP solutions for their customers. SYSPRO is known as one of the few mid-market business applications vendors focuses on developing a personal one-to-one relationship with the customers. SYSPRO is differs from other ERP manufacturing products as it offers flexible management and control over each an every component of the business including financials, sales, CRM, Inventory operations and the supply chain. SYSPRO delivers their services across four main industries including food and beverage, medical services, machinery and equipment and electronics. Apart from these it also provides services to industries such as automotive construction, mining, pharmaceutical and aerospace. SYSPRO does not require any external applications to install multiple modules and this ensures the effectiveness of all the operations in production environment. SYSPRO provides complete set of solutions to business by

SAP provides businesses scalable and customizable solutions for all aspects of your clients' businesses, from production to marketing and Human Resources to finance reporting. Moreover, SAP products and applications will allow your clients to operate at peak efficiency levels, with better communication and faster decision-making. Therefore, the

As we discuss the possibility of emerging into business intelligence software we must keep in mind the overall purpose of using any type of software is to reach strategic goals in order to increase market shares. I will discuss how business intelligence software will allow us to meet those strategic goals. We will establish what type of information and analysis capabilities will be available once this business intelligence software is implemented. We will discuss hardware and system software that will be required to run specific business intelligence software. Lastly, I will give a brief synopsis on three vendors (IBM, Microsoft Microsoft and Oracle) that are dominating the business information software

The Search Tool At times in this document, the instructions will ask you to search for something

R.L Fielding (2008) reiterates that Business Intelligence is a thorough and holistic analysis of the company records, data, information, and software application for effective decision making. All decision making processes need an organized, readily-accessible, and human readable compilations of data. With the use of an effective tool the firm can easily figure out their own business processes, the behavior of their customers, and the economic trend of the industry. With these facts, the firm can arrive at a better strategy to achieve their specified goals with confidence.

There is an increase in the reliance of analytical models in various business environments by modern companies, which seek to make more accurate decisions. In essence, this requires business firms to develop their competence in this area to enable them to manage their customer relationships and supply chains more effectively. More importantly, knowledge of analytics allows companies to identify factors that influence their business processes to ensure they have better control of different activities they perform. Thus, efficient analytics strategies allow companies to optimize their activities to ensure they offer a higher value to customers and other stakeholders. In this paper, the discussion examines how 3M Company will institute an analytics strategy to achieve a high level of competitiveness in its operations.

The worldwide information landscape is changing rapidly due to innovation in technological solutions. Technological solutions play a crucial role in decision-making through analysis of a massive data or big data. The explosives changes in the supply and demand of the market require firms to respond proactively and spontaneous. Accordingly, enterprises managers should be able to collect, filter and analyze the enormous amount of data from many sources in real-time. Therefore, organizations turned to use technologies for decision-making, solve the complex and challenging business problems. The tools used to support decision-making has become very wide and filled with the buzzwords. In this report, we will outline the connection between the two types of software solutions that support the decision-making process; Decision Support Systems (DSS) and Business Intelligence (BI).

Design, code and deliver user friendly multi-tier business intelligence solutions and dashboard that utilize data warehouse and data mining technologies.

There are a few key business issues that are addressed with SAP Crystal Reports. The first and most important is the need for useful information delivered quickly. Most companies have stored in their systems an immense amount of data, but that data can be difficult to access and understand, so what Crystal Reports does is it provides an interface whereby the user can easily call up the relevant information. The software already has the information pathways built in that the managers need, and as a result of this the reports deliver the information quickly. The second key function is to ensure that the information is easy to read and easy to use. The reports are often visual, but most importantly they reports are clean and neatly presented. This means that managers do not need to waste time sifting through poorly-organized data to find the information that they want.

The world’s largest inter-enterprise software organisation is SAP (Hidding, Williams, & Sviokla, 2011; Mehrjerdi, 2010). According to Hidding et al. (2011), SAP has maintained their lead in the market since they commenced business in 1979. Generally, there are two organised ways of implementing SAP: SAP procedure model, this is

Online analytical processing (OLAP) is generally used to provide analysis of complex data. Often it is applied with a data warehouse. A data warehouse is similar to a regular database but they have differences. According to Inmon a data warehouse is “a subject-oriented, integrated, non-volatile, time-variant collection of data in support of management’s decisions [3]. Data warehouses provide more detailed information than regular databases, one reason they are recommended for analytics. Another way of describing it is, “Data warehousing is a collection of decision support technologies, aimed at enabling the knowledge worker (executive, manager, analyst) to generate wiser and faster decisions. [4] When using OLAP tools with data warehousing it can give the decision maker a clear advantage, which could give insight into why it is so highly valued. These mechanisms can help increase efficiency and provide them with a powerful advantage. At the core of any OLAP system is an OLAP cube

During the past few decades, both the generation and collection of data have been increasing tremendously, which lead to computerisation in various sectors such as business, research, entertainment and science. This exponential growth in stored data has generated an urgent need for new techniques and tools that can intelligently assist us in the management of data and information. Management Information Systems has become one of the most important aspects of our life and now it has a greater influence on our world than it has even been before. Organizations are increasingly relying on information systems to provide decision making in operational activities, management functions and for increased effectiveness in its various business areas.