navigate available data sources. These tools should include a disconnected analysis capability that enables users to access BI content and analyze data remotely without being connected to a server-based BI application. In addition, these tools should offer query governance and auditing capabilities to ensure that queries perform well. * 2.4 Microsoft Office integration * In some use cases, BI platforms are used as a middle tier to manage, secure and execute BI tasks, but
reporting, dashboards, interactive contents, and analytics. Placed under Niche category by Gartner, Actuate has been widely praised for its reporting capability. It also have great connectivity support for big data/cloud e.g. Hadoop, HBase (via Hive), MongoDB, Cassandra and Cloudera Impala. Alteryx: is unique in a way that it uses location data to provide capability to business analysts and application developer to manage and conduct advanced analytics. The product is very easy to use and requires almost
current pinnacle of big data technology. It is cheap, highly customizable, and incredibly effective. My firm, an international oil tool rental company, is in a perfect position to implement a Hadoop system. I believe that Cloudera, Hortonworks, and IBM are the top vendors for my company. The power of Hadoop is immense, with a future that promises even more innovation and capability. Our organization is one of the most successful of its kind. We rent drill pipe, landing string, and all associated
this, useful insights and fact based decisions can be made by analysing complex data. IBM SPSS Modeler IBM SPSS Modeler is a data mining and text analytics software application built by IBM. It is a predictive analysis platform which, brings predictive intelligence and research decisions to any organisation. Comparison between them in some specific terms are given below: Compared Terms SAS Enterprise Miner IBM SPSS Modeler Target users: Design for whom? Mainly designed for users who need to
without specifying a schema. One such type of NoSQL database that has been developed is the IBM Informix
Predictive Analytics: the Future of Business Intelligence Introduction By M. Zaman The market is witnessing an unprecedented shift in business intelligence (BI), largely because of technological innovation and increasing business needs. The latest shift in the BI market is the move from traditional analytics to predictive analytics. Although predictive analytics belongs to the BI family, it is emerging as a distinct new software sector. Analytical tools enable greater transparency, and can find
framework with other technologies used with Hadoop system to process bigdata. Hadoop project originally was built and supervised by Apache community. In addition to Apache many other companies whose businesses run on Hadoop are adding more interesting features to Hadoop, some of them announced their own Hadoop distributions replying on the original core distribution distributed by Apache. 2.1 Industry Feedback In last Hadoop summit [19] Mike Gualtieri ‘principal analyst at Forrester’ gave a keynote about
Abstract Many corporations are experiencing significant business benefits of using data warehouse technology. Users report gains in market competitiveness through increased revenue and reduced costs through information management. Data warehousing is thus a major issue within most organizations, and thus the development of a data warehouse with a strong base is essential. This paper aims to present the important concepts of Data Warehousing such as Data Warehousing tools and the benefits of Data
Chapter 9 Functional Area and Compliance Systems Quick Look Case 1, Opening Case: International Speedway Gets Lean 9.1 Management Levels and Functional Systems 9.2 Manufacturing, Production, and Transportation Systems 9.3 Sales and Marketing Systems 9.4 Accounting, Finance, and Compliance Systems 9.5 Human Resources Systems, Compliance, and Ethics Key Terms Chapter 9 Link Library Evaluate and Expand Your Learning • IT and Data Management Decisions • Questions for Discussion