Analyzing The Kpi 's For Retail Industry Essay

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.

Business Intelligence (BI) is the consolidation and analysis of internal data and / or external data for the purpose of effective decision-making. At the core of all BI initiatives is a data warehouse to hold the data and analytics software. The data warehouse stores data from operational systems in the organization and restructures it to enable queries and models to extract decision support reports.

What information is accessible? The data warehouse offers possibilities to define what’s offered through metadata, published information, and parameterized analytic applications. Is the data of high value? Data warehouse patrons assume reliability and value. The presentation area’s data must be correctly organized and harmless to consume. In terms of design, the presentation area would be planned for the luxury of its consumers. It must be planned based on the preferences articulated by the data warehouse diners, not the staging supervisors. Service is also serious in the data warehouse. Data must be transported, as ordered, promptly in a technique that is pleasing to the business handler or reporting/delivery application designer. Lastly, cost is a feature for the data

A data warehouse is a large databased organized for reporting. It preserves history, integrates data from multiple sources, and is typically not updated in real time. The key components of data warehousing is the ability to access data of the operational systems, data staging area, data presentation area, and data access tools (HIMSS, 2009). The goal of the data warehouse platform is to improve the decision-making for clinical, financial, and operational purposes.

A data warehouse and business intelligence application was created as part of the Orion Sword Group project providing business intelligence to order and supply chain management to users. I worked as part of a group of four students to implement a solution. This report reflects on the process undertaken to design and implement the solution as well as my experience and positive learning outcome.

Today businesses are investing many resources in building data warehouses and data marts to obtain timely and actionable information that will give them better business insight. This will enable them to achieve, among other things, sustainable competitive advantage, increased revenues and a better bottom line.

Many organizations want to implement an integrated enterprise warehouse that collects information about all subjects (e.g., customers, products, sales, assets, personnel) spanning the whole organization. However, building an enterprise warehouse is a long and complex process, requiring extensive business modeling, and may take many years to succeed. Some

The data-collection and analysis company is expected to grow 60% over the next 18 months This will include increasing the Data Warehouse (DW) by 20% to store data for collected data beyond the standard relational databases. A Business Requirement Document is needed in order to know the expectations of the project. This includes defining the scope of the project and how to control the scope. The risks, constraints, and assumptions are identified and how they could affect the project. Information will be gathered for the relationship and integration between the systems and the infrastructure. During the project there may be a need for outsourcing tasks or using offshoring companies. Resources will be needed to in order to complete the project in a timely manner and relevant terms used throughout the project will be defined.

This data can be used as a tool to not only focus on descriptive analysis and reporting but also on predictive analysis to take more steps on delivering better performance and stronger bottom-line. BI refers to the skills, process, technologies and application used to support decision making and by using this the organization can take appropriate steps towards enhancing the quality of product, quality of service thus improving their profits and expanding their business.

Since higher education has blurred the lines with traditional businesses, it is important to have the tools to assist them with valuable data and information, in making decisions. Using of data and having the right data mining tools can insure the institute’s success, in many forms, such as, identifying market trends, precision marketing, new products, performance management, grants and funding management, student life cycle management and procurement to mention a few. To get a better grasp on these benefits it’s important to understand data warehouse, data mining and the associated benefits.

A data warehouse (DW) can be acknowledged as one of the most complex information system modules available and it is a system that periodically retrieves and consolidates data from the sources into a dimensional or normalized data store. It is an integrated, subject-oriented, nonvolatile and a time-variant collection of data in support of management’s decisions (Inmon, 1993).

The purpose of a data warehouse is to make the company’s information accessible and consistent. They need to have the information immediately available and in the same format. Warehousing is of no benefit to a company if they have to wait any length of time to receive the data. A warehouse has to be an adaptive and durable source of information for the business. The warehouse has to be flexible to meet the needed changes of a business, as the business grows; it is possible that additional information will need to be collected. The warehouse needs to have the ability to expand to meet the needs of the business. Warehousing would not be beneficial to a business if they have to seek a new warehouse source each time a change was needed; it would be costly for a business. A data warehouse must be a secure stronghold that protects the information, which is regarded as an asset to the business. In today’s society it this the utmost concerned of a business to make sure that their systems are not easily hacked by outsiders and their customer’s data is secured. Lastly, a warehouse is considered the foundation for decision making. It is the data that is retrieved from the system that is compiled for presentation to the decision makers of the company.

Mainly, in the data warehouse analyzing the large data helps the decision-making process. Indeed, in the data warehouse, the integration of the data from the

Every organizations have their own independent Data Warehouse and due to increase in the number of transactions, the size of the data is also increasing. Data warehouse is the central repository of information for an organization. There are multiple data sources like OLTP, excel, csv, txt, xml, etc, that are generated from various systems and are populated to data warehouse by ETL and thus Data Warehouse stores the summarized integrated business data in a central repository. The Data Warehouse is used for the analytical applications (OLAP – On-Line Analytical Processing), decision making, data mining and user applications.

This database provides general reports for. E.g. Daily Sales report by product or by customer or by route. These reports are helpful— particularly for real-time reporting —but they don’t allow in-depth analysis. The possibilities for reporting and analysis are endless. When it comes to analyzing data, a static list is insufficient. There’s an intrinsic need for aggregating, summarizing, and drilling down into the data. A data warehouse enables you to perform many types of analysis: