Essay BICS Certification Keys

Decision making and communication are at the center of business success and efficient business analytics would only be effective through the use of proper information systems and that are up to date with current trends as well as optimizing on the available channels.

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

As we learned in previous weeks, cloud computing services have three major different cloud architectures for different demanding customers. The three different architectures are Software as a Service (SaaS), Platform as a Service (PaaS), and Infrastructure as a Service (IaaS). For the words of the name, we can see the obvious differences among these three architectures, which they provide different cloud services based on their specific cloud architectures. What are the differences among these three cloud services? What are the responsibilities for the cloud services providers? What are the responsibilities for the customers? The following will discuss about these questions.

Business intelligence (BI) merges architectures, tools, databases, analytical tools, applications, and methodologies. It also is context free like DSS. BI deduces the connections between business entities by evaluating copious volumes of historical data which supports decisions. BI has four major components consisting of a data warehouse, business analytics, business performance management, and a user interface.

which often use these platforms to develop their services, and PaaS also allow third parties to

In today’s companies, the analytics software plays the important role and guides the future activities to a great extent.

Cloud computing offers services to users based on on-demand self-service, broad network access, measured service, resource pooling and rapid elasticity; These characteristics promise a faster time for implementation, lower cost, superior scalability and a better end user satisfaction. These services are delivered in models known as Software As A service (SaaS), Platform As A Service (PAAS), and Infrastructure As A Service (IAAS). The first layer which is the Software As A service (SaaS) is the layer in which software applications are delivered to end users. Below is the Platform As A Service (PAAS) layer which offers a platform on which applications can be developed. The lowest layer is the Infrastructure As A Service (IAAS) layer, in this layer the physical servers and network infrastructure is offered as a service. These services can be deployed throughout the internet (Public Cloud Computing), on the intranet infrastructure, (Private Cloud Computing), in a shared community of private networks (Community Cloud Computing), or a hybrid of both (Hybrid Cloud Computing). The service deployment models are [8]:

1. Hard to Duplicate - Accenture 's strategy and analytical capabilities is hard to duplicate by its competitors. For example Accenture has launched the Accenture Insights platform, a cloud based, end-to-end analytics solution designed to simplify analytics and deliver real time actionable insights to businesses for a competitive advantage. Comprised of an integrated suite of leading technologies, consumption-based commercial arrangements, and enterprise support, the platform is a flexible Analytics-as-a-Service solution designed to help a range of business users, from the C-suite to data scientists, make data-driven decisions that can solve business issues and create new opportunities. The Accenture Insights Platform can increase an organization’s speed to insight, decision-making and business outcomes. The platform has a preconfigured, industrialized end-to-end architecture that typically can be provisioned within 24 hours and generate initial actionable analytics insights in weeks, as opposed to conventional approaches that can take months. Centralized cloud management capabilities are provided via the Accenture Cloud Platform, a multi-cloud management platform.

Today, the world’s trend in operating business focuses on data availability to enact the best suitable decision to improve, develop, and increase business revenues. Moreover, the availability of data helps to monitor and control the quality of provided products or services. However, the availability of data without proper analytics operations would have no meaning (1). Data analytics provide an important aid to an organization to figure out their position in the market in comparison with their competitors. Also, data analytics helps to identify what is the organization’s competitive ability in the market, what they should bet on, and what they should strive for. With that being said, many of today’s most successful organizations utilize

In an uber globalized market of today, companies are faced with challenges in each and every step of their business. Our analytics and research services are geared towards giving those companies that extra edge over the competition. We process and analyze terabytes of data and break down all the fuzz and chatter around it to give our customers meaningful insights about their competition and the market they are engaged in.

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.

(4) Platform as a Service - This offers a development environment as a service. You can use this technology to develop your own applications that run on the providers server.

Oracle designs, develops, and supports computer-software products. This software is used for database management and network products, application development productivity tools, and end user applications. The company’s principal product, the oracle relational database-management system, runs on supercomputers, mainframes, microcomputers, and personal computers. The company also offers consulting, support, and system integration services for its customers. Oracle Corporation provides the software that powers the Internet.

One of the main things that we need to understand in the process of selecting the appropriate cloud development model for BPI is to understand what cloud deployment is all about. Cloud has been used for a while now and as business and security comes, it is predicted to be rising faster as years come by. The ubiquitous term cloud refers to anything that is being delivered today through the internet and in simple terms, cloud is where one can rent technology and information services on the internet through the providers. Most companies are today turning their focus on

Distinctive Capability - ABC has a demonstrated capability to use analytics to create a competitive advantage from an investment management standpoint. Millions of data points must be continuously analyzed to ensure passive stock and bond investments, totaling in the trillions of dollars, are efficiently managed for performance and risk. On the client side the diverse business structures and the prior focus on efficient operations has to date limited ABC’s ability to build out a world class data analytics capability comparable to the one that exists on the investment side of their business.