Case Study : ' Renker An Infomercial Studio '

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

Using business intelligence to improve performance: Cleveland Clinic tracks KPIs daily to measure progress toward achieving the organization 's strategic objectives. This effort has helped reduce labor costs and other expenses--and improve quality of care.(CASE STUDY)(key performance indicators). COPYRIGHT 2009 Healthcare Financial Management Association

These and several more functions will sure be beneficial to our organization. Salmasi,M.K et al, 2016 stated that “Business intelligence is a technology-oriented solution that businesses need to survive in today’s competitive and constantly changing market” and for our company to stay in the market competition, we need to plunge into these trends.

It is an important business tool used to evaluate and interpret information to make a

In Business Intelligence sponsorship plays a vital role in its development and its implementation as it incurs a huge cost, hence an executive sponsor must be smart enough in dealing with such problems by understanding the limitations and generating a top-down approach for it. This paper will give you a glimpse of the roles and responsibilities of an executive sponsor, and how he can do more effectively. To explain it better I have cited two examples of Mobile BI and Healthcare Management BI and how each company sponsor has to carry out a set of activities to fulfill their task and lead by example. In a nutshell, every executive sponsor has to make sure that the BI project is in line with the overall company goals, required resources are available and necessary guidance is given when required by the project.

The current process for CTC to acquire BI is a broken system. Much of the information derived, from the current data in the warehouse, was done by FRAG, individual user groups and hired business analysts who extracted data and created reports. This was creating a serious misallocation of resources and responsibilities throughout the company. Shadow groups, created to complete some of the required BI tasks, were not only less efficient than an organized strategy, but were also a security risk to CTC. With small groups taking over the responsibility of creating BI, the

These tools provide companies’ reliable information and true insights in order to improve the decision-making, collaboration and produce better company results. It helps organizations to better understand how things are going and eventually where things might go wrong. The multi-row tables and datasets can now be evaluated directly on the database – without performing interim steps of aggregation.

This is to certify that Mr. AKSHAY DOGRA student of B.Tech. in CSE(Evening) has carried out the work presented in the project of the Term paper entitle "BUSINESS INTELLIGENCE AND DATA WAREHOUSING" as a part of First year programme of Bachelor of Technology in CSE (Evening) from Amity University, Noida, Uttar Pradesh under my supervision.

Furthermore, the Gartner website argues that “BI has become a strategic initiative and is now recognised by chief information officers (CIOs) and business leaders as instrumental in driving business effectiveness and innovation,” (Anon., 2007). Gartner also argues that “BI projects were the number one technology priority for 2007” (Anon., 2007). According to the Bill Inmon, data warehouse is “a subject-oriented, integrated, time variant and non-volatile collection of data used in strategic decision making”. Hammergen & Simon, (2009) define data warehouse more simpler by saying that “ Data warehousing is therefore the process of creating an architected information management solution to enable analytical and information processing despite platform, application, organizational, and other barriers.“ It is important to note that data warehouse system is different from relational database. The reasons of that are: (1) In the data warehouse data is stored for long term; (2) DW is designed for high performance for analytical queries; (3) its OLAP (Online Analytical Processing) technology enables to view data in various form; (4) linking between tables are simple (Tushman, 2014). Databases, in contrast, have a low performance regarding data analysis; joins between tables are

In completing an analysis of SAP Crystal Solutions, a state-of-the-art Knowledge Management (KM) and Business Intelligence (BI) application, the following questions are answered:

Fully adopted BI tools that support both short term and long term goals of the company. The Short term strategy must be framed so as to underpin the long term ones.

 Custom supplier: hired on a project by project basis  Syndicated research company  Media and consulting companies  Trade associations  Field Services

Business Intelligence plays a major role in decision making and provide data driven decision Systems. The potential edges of business intelligence programs embrace fast and up call making; optimizing internal business processes, also with increasing operational efficiency and driving new revenues; and gaining competitive benefits over business

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).