Business Intelligence System Meaning

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Business Intelligence System Meaning – Buness Intelligence Systems – What Does It Mean? More business or intelligence? What are the main components of BIS and where are the main similarities and differences between this class of systems and other classes? What are the main areas of BIS applications? What are the main pros and cons of BIS applications from a managerial perspective? Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

Data, information, knowledge, wisdom. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

Business Intelligence System Meaning

Knowledge – Collection of reasonable knowledge Knowledge – Collection of useful information – Processed data Data Collection – Collection of facts

Market Intelligence: What It Is & How To Use It

6 References: Howson C., Successful Business Intelligence; Second Edition; Unlock the value of BI & Big Data; McGraw Hill Education, Grossman W., NY, 2015, Fundamentals of Business Intelligence, Springer-Verlag, Berlin, Heidelberg, 2015

What do you remember? BI Systems are here 1 BIS Convergence ES EIS/ESS 2 DSS CRM MIS ERP II TSP/APD ERP MRP II SCM 3 MRP IC Internet Commercial Nets Private, Corporate Nets Year of Integration

BI is …an analytical information system based on a data warehouse combined with data collection mechanisms using analytical tools, particularly multidimensional analysis and data mining tools… The definition indicates the directions of change that have occurred since the emergence of DSS. or ES systems. BIS is an umbrella term that combines architectures, tools, databases, applications and methodologies, for example: data warehouse (with its “source” data), business analytics (a collection of tools for manipulating, mining and analyzing external data in the data warehouse), business Performance management (for monitoring and analysis of performance), user (intelligent) interface

Data Wholesale Management Mechanisms Business Analytics User Interface Database System Management Model Base System Management Applications: Accounting and Finance, Inventory Control, Production Management, Human Relations. Knowledge Base System Management Model Base Database Ba Marts – Branch Wholesale Knowledge Base of Procedures

What Is A Decision Tree?

Data flow from operational systems (CRM, ERP, etc.) to a data warehouse (DW) – a specialized database or data repository designed to support applications ranging from simple reporting and querying to complex decision-making. DW is built with optimization methods, mainly metadata or data marts (branch databases) which are databases for departments (e.g. marketing) or specific functions or only historical data organized and summarized for end users (for easy viewing or manipulation). data) Some data warehouses today include current date (via the net) for real-time decision support (so-called data marts (branch DB or micro DB)

An obvious extension of the database, linked to the multiplicity and variety of data processed in the systems, is creating a data warehouse. Basically, a data warehouse is an extended corporate database with procedures for data extraction from heterogeneous (including external) data sources and solutions for processing them into a common database, which is suitable for analysts and users who make business decisions with domain support. or mechanisms of collaboration with industry databases (mart) and analytical tools. Apart from standard reporting and defining reports and ad hoc queries from the user, the main tasks of the database are: statistical analyses, interactive analytical processing, data mining as well as – to a limited extent – ​​business modelling. So – as shown above – a qualitative change has occurred at the level of the main source of information in the system.

There are many software tools for users to create on-demand reports and queries and analyze data. (common name OLAP Online Analytical Processing) Users can analyze different dimensions of data and trends. Business users can easily identify performance trends by using trend analysis and graphic tools: There are three groups of tools categories: Reporting and Queries – we have to do with all types of queries, information discovery, multidimensional view, drilldown to details and advanced analytics – data and information data, text and web Mining includes many statistical, economic, mathematical and other models used in analysis – Data mining is the process of searching for unknown or ambiguous relationship or information in large databases using intelligent tools (neural computing or advanced statistical). methods) on quantitative data, text or web data.

„…business intelligence systems provide actionable information delivered at the right time, in the right place and in the right form to assist decision makers” “a comprehensive, company-specific, IT-based holistic approach to managerial decision support” ……

Comprehensive Model Of Business Intelligence: A Case Study Of Nano’s Companies

14 Definition of BI Just as the eyes are the windows to the soul, business intelligence is the window to the dynamics of a business. It reveals performance, operational capabilities and untapped potential. Business Intelligence (BI) is a set of technologies and processes that allow people at all levels of an organization to access and analyze data. Without people to understand the information and act on it, business intelligence achieves nothing. For this reason, business intelligence is less about technology than about culture, creativity and whether people see data as a critical asset. Technology enables business intelligence and analytics, but sometimes, too much focus on technology hurts business intelligence initiatives. There are many people who will make your BI efforts a wild success or a complete failure. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

Market Research, Competitive Intelligence, Reporting, Business Analytics, Decision Support, Data. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

16 Big Data Some call data the new oil of the 21st century. Those who dig it well hit pay dirt, and those who don’t sit on wells of untapped potential, data wastelands. Others are a bit more cautious, thinking the whole concept of big data is a bit like a gold rush. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

17 Big Data As the term “big data” refers to large volumes of data, typically in the petabyte range, “big data” as a term is likely to eventually replace BI and business analytics in the common lexicon. However, in the technology profession, big data is different and has three main characteristics that differentiate it from regular BI: volume, velocity, variety. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

What Is Information Management? Definition And Benefits

18 Big Data Volume (Total) While many traditional BI deployments contain gigabytes and terabytes of data, big data runs in petabytes. Velocity (velocity) Early data warehouses may have been updated weekly and evolved into daily updates. With big data, both new incoming data speeds and decision-making speeds have led to new technologies to handle incoming data speeds. For example: machine-generated data from smart meters, RFID (Radio Frequency Identification) devices, web logs on e-commerce sites, social data. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

19 Big Data Variety The very early days of BI involved analyzing data from transactional systems. As new types of data are digitized, there are many types of content to analyze, such as: tweets, social comments, blogs, medical record notes, photos and images, textual data in the form of video. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

A data warehouse may or may not be part of your business intelligence architecture, but a data warehouse is not synonymous with business intelligence. Of course, even if you have a data warehouse, you can only say your company is using business intelligence after you put some tools in the hands of users to turn data into useful information. And what about data analytics? It depends on the context in which they are used. Works on internal data only. And what about cloud computing? Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

Business intelligence cuts across all functions and all industries. BI empowers everyone in a company and customers, suppliers, and citizens with public data. As mentioned earlier, business intelligence can only provide value when people use it effectively. There is a correlation between the effective use of business intelligence and company performance. However, having better access to data does not improve performance; What makes the difference is what companies do with the data. Based on: successful business intelligence; Second Edition; Unlock the value of BI & Big Data; Cindy Howson

Chapter 1 Business Intelligence And Its Impacts Lecture Notes

In its basic sense, business intelligence provides information to managers to know what is going on in the business. Without business intelligence, managers can speak of “flying blind” without any insight until the quarterly financial numbers are published. With business intelligence, information can be made available on a timely (faster) and more flexible basis to provide a view of: sales in different regions and by different product lines, costs compared to budget, warehouse inventory for a specific product or raw material

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