Self-service Business Intelligence Ppt – 4 SSBI: the problem BI tools that were popular a decade or more ago required experts to not only use but also interpret the data and conclusions. This created an often complex and confusing filter between the people who really need to understand the business – the company’s decision makers – and those who collect, process, and interpret the data – often data analysts and database managers. Because being a data scientist is a difficult job, many of these people were not well versed in the specific business functions whose data they analyzed. This led to a focus on data that the company did not want, misinterpretation of results, and often a series of “standard” reports that experts regularly visit instead of collecting “ad hoc” intelligence and interpretation, which can be done. to be valuable in fast-paced situations.
5 SSBI: Definition “Automated business intelligence is defined as users to create and send their own reports and analyzes within approved and supported infrastructure and tools.” (Gartner) The goal of self-service BI is to enable business users to be independent and independent of their IT or BI team to use data and information to answer business questions as they arise. Recently, modern BI tools provide these tools and services to businesses, so that when users need data and information, they can find it themselves.
Self-service Business Intelligence Ppt
More: NEW, TYPES OF DATA ARE AVAILABLE FOR INTELLIGENT USERS: interactive systems, machine sensors, devices like smart phones, etc. create new technologies that often differ from their predecessors in terms of their structure, size, and quantity. Many users: IT’S NOT JUST RESIDENTS WHO NEED ENTITY SUPPORT: The scope of BI has expanded from technical questions to operational tasks so that many employees need to use BI.
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8 Self-paced measures Remember: drilling up/down is when you aggregate (drill down) or stratify (drill down) data through queries.
At the lowest level, users receive access to information that has already been created (existing reports), or where they only need to set parameters (for example, periodically) before processing them. This differs from traditional reporting systems in that not only limited reports are provided. The user gets all the reports that may be relevant to him. The advantage of this method is that it is suitable for ordinary users without special analytical skills or equipment.
Users can be given access to data at the lowest level available in the system to create new data from it (such as an archive). The goal is that others cannot foresee all the needs that users may have and prepare the right ideas for them. Instead, it’s SQL, which isn’t too complicated for most business users. These new tools create virtual visualizations almost on the fly, even from large data files if necessary. For example as in Watson Explorer you click on the side and create a query (you can see the SQL query but you create it without knowing SQL, with a few clicks)
In traditional BI systems, data from different sources is combined and presented to the user as a relational source (ETL). Due to the different types of data sources and user requirements, the preparation of this data is becoming more difficult, as we have seen (such as text) . Business users can be given the opportunity to independently use new data sources for analysis that is not managed by IT. A simple implementation can give business users the opportunity to insert data into the workplace (for example, Watson Explorer allows users to insert datasets, however, they cannot combine different sources in an easy way: this still requires ICT experts)
Microsoft Power Bi: A Powerful Cloud Based Business Analytics Service
12 User-defined SSBI modules for both casual and power users can be created, based on their analytical skills and tools. Common users use information often while power users also generate information, about themselves or others (such as when using forecasting / analysis) A similar method that suits the needs of individual BI users is the right analysis and the best set. art is the best way.
The concept of SSBI is not yet widespread in the industry. There are also reports of delivery failures. One way to support the widespread use of BI in companies is to help users support each other (user collaboration). See later (BI agreement)
Read a report or dashboard Interact with a report or dashboard Sort data and create visualizations Share a report or dashboard with someone Customize a custom report or dashboard Send data Auto-edit a report
Comparing the demand and satisfaction of self-service BI by department gives us a clear idea of who needs it the most (business).
What Are Business Intelligence Tools And The Types Of Business Intelligence Software In 2022
Real-time business intelligence (RTBI) is a concept that describes the process of delivering business intelligence (BI) or business information as it happens. Real time means near zero latency and access to information whenever it is needed (Wikidef).
25 Why is RT BI important? There are two main reasons why real business intelligence is important (Azvine et al).: Rapidly changing business environment: Business changes from place to place and from time to time. Accounting changes and changes the profit margin. Advertisers change their delivery schedule and prices. Customers are highly educated and therefore demanding. Secondly, technological advances, especially the Internet and modern ICT technologies, make real business intelligence seem possible.
Real-time Analytics can be used with the following: algorithmic trading, Fraud detection, Performance monitoring, performance monitoring, Customer Relationship Management, Demand Sensing, Dynamic pricing and productivity, Data verification, Operational intelligence and risk management, Payments & money management , Data security monitoring , Supply chain optimization , RFID/sensor network data analysis , Workstreaming , Call center optimization , Enterprise Mashups and Mashup Dashboards Transportation industry. The rail industry: using real-time analytics for rail network management. Based on the results provided by real-time analytics, the dispatcher can make a decision on what type of train to send on the ground, depending on the vehicles of the train and the goods being sent.
Event-based: RTBI can use Event Stream Processing to display events, not processed and stored in the database. For example, the system can monitor sales (or product mentions on social media, etc.) and trends, and see what’s happening.
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Data warehouse: Another way to create an event-driven architecture is to add updates to existing data warehouses to update data frequently (in a typical DW system where operations are in real-time, DW is not). These real-time storage systems can achieve almost real-time data availability, while data latency is typically from minutes to hours.
“Server-less” technology MSSO Technology (Multiple Source Simple Output) eliminates the need for data warehouses and intermediary servers altogether since it can obtain live information directly from the source (even from multiple, different sources). Because live data is accessed directly through server-less channels, it offers zero-latency, real-time real-time data access.
Business Process Monitoring: Allows all processes (activities, steps) to be monitored, metrics (delay, completion/failure to schedule, etc.) to be viewed, compared to historical records, and real-time activity. Advanced implementation allows detection, alerting and feedback to automated systems, thus ‘closing the loop’.
Collaborative BI (Collaborative Business Intelligence) is the combination of business intelligence software and tools, including Web 2.0 technologies, to support data-driven decision making. The tools allow peers to analyze data and exchange information and ideas through Web 2.0 tools such as blogs and wikis. Technology also facilitates communication through social networking sites, which continue to be popular in both business and personal life. A wiki (sometimes spelled “Wiki”) is a server application that allows users to collaborate to create content on a website. The word comes from the word “wikiwiki,” which means “quick” in the Hawaiian language.
Business Intelligence Transformation Toolkit Powerpoint Presentation Slides
34 What is a partnership? Collaboration is working together to achieve a goal It is an iterative process where two or more people or organizations work together to achieve shared goals – this is more than a combination of common goals, but more deeply, a team, a determination to achieve a common goal. by sharing knowledge, learning and building partnerships Many partnerships require leadership. Teams that work together can achieve more resources, recognition and rewards when faced with competition for unlimited resources.
35 Collaborative BI Collaboration is seen today by companies as one of the main ways to increase flexibility and to innovate in order to survive in an uncertain and changing business market. finding information wherever it can be found, finding it through a semantic method and doing integration on the fly
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