Questions On A Enterprise And Community Edition

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

To achieve the report level security, we developed a Java EE portal that rendered list of reports based on the profile of logged in user. Java EE web app interfaced to multi reporting tools to execute reports developed in Oracle Discoverer, Oracle Reporter, Cognos, Splus etc. technology stack, nevertheless BI platform architecture was not robust enough to meet security requirements. In order to comply with the regulations and guidelines set by data vendors and to provide restricted data access to clients for their respective brands, developers had to replicate set of reports for each client and queries within the reports were altered to filter the data for brands owned by the client. Evidently, current process was inefficient and led to maintenance overhead to support the redundant code. Second, a consortium of wholesalers named Magnet, was a key driver in providing sales and marketing data for the publishing industry, and therefore was a key driver for BI platform, made business model changes with the commencement of paid subscription model that offered clients to subscribe to the sales data for any competing brands. A critical requirement stemmed to architect robust and secured BI platform to comply with Magnet business model which was apparently going to benefit not only Magnet but TWR and its clients.

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

The strength of using computers for information processing lies in their capacity to handle vast amounts of data, calculations and iterations while maintaining a high level of accuracy, reliability and lower cost of investment as

Answer: The Innov8 was made as replacement for ERP (Enterprise Resource Planning)- is the main application of Mashaweer company which includes:

Vivek described the elaborate stack Zones uses for data management and business intelligence, there are many components and tools they use to run this intricate ecosystem. The process begins each day around 10:00 PM with an ELT pull from their Oracle database, data marts, and partner databases to their data warehouse. Next, from that data cubes are computed and constructed. Next, the data is passed to repositories then to email to update dashboards in CRM and their next generation reporting framework.

Today there is a new data management challenge that is an effective method for integrating enterprise applications. To learn from history and predict the future, plenty of companies are using Business Intelligence (BI) systems. Corporations have understood the significance of intensifying achievements of the objectives defined by their business strategies through business intelligence ideas.

Data Base 2 (DB2) Warehouse is IBM’s BI software. The BI software focuses on data warehousing, consolidating data from unrelated sources and forms a “single version of the truth” (IBM.com, 2007), available to users through a variety of analyses. DB2 Warehouse is built to manage mixed workload, run queries concurrently, and also pre-aggregate related data for improved query performance. DB2 Warehouse capabilities include modeling, data mining and visualization, and embedded analytics and database management tools. DB2 has an integrated compression that has proven a savings of 45-69% disk space, and a workload control that automatically prioritizes and schedules queries. In addition to basic data warehousing and mining, IBM has prepackaged solutions for specific industries: banking, retail, insurance, healthcare, telecommunications and law enforcement. DB2 Warehouse will serve clients running Microsoft® Windows® XP or 2000, and run on servers with any of the following operating systems: IBM AIX® 5L™, Red Hat Enterprise Linux® 3 and 4, SUSE Linux Enterprise Server 9, Sun Solaris 9, Microsoft® Windows® Server 2003. It is compatible with two web browsers: Microsoft® Internet Explorer and Mozilla Firefox.

Efficient data integration can address some of the issues associated with increasing demands for accessing data from numerous sources and of varied structure and format. Yet some complications remain in populating data warehouses in a timely and consistent manner that meets the performance requirements of consuming systems. When the impediments are linked to the complexity of extraction and transformation in a synchronous manner, you run the risk of timing and synchronization issues that lead to inconsistencies between the consumers of data and the original source systems.

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

DW or EDW is the report of the data analysis. The integration of data from various sources is compiled by Enterprise Data Warehousing system. Manual Integration, Application Based Integration, Middle-ware Data Integration, Virtual

Utilized for Online Analytical Processing (OLAP). This peruses the recorded information for the Users for business choices.

Design, code and deliver user friendly multi-tier business intelligence solutions that utilize data warehouse/data mining technologies to consume data across various database platforms and data stores.

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

Other technology is needed to access and use the data in the data warehouse; these are applications for data mining, business intelligence, dashboards, etc.