Self-service Business Intelligence Tools: Changing Computer-driven Business Understandings – Business intelligence (BI) is a technology for analyzing data and delivering actionable information that helps managers, leaders and employees make business decisions. Copy. As part of the BI process, organizations collect data from IT systems and other sources, prepare it for analysis, run queries against the data and create data visualizations, BI dashboards and reports to make analysis results available to business users for decision-making and strategic planning.
The primary goal of BI initiatives is to drive better business decisions that enable organizations to increase revenue, improve operational efficiency, and achieve better business outcomes. business competition. To achieve that goal, BI includes a combination of analysis, data management and reporting tools, in addition to various methods for managing and analyzing data. .
Self-service Business Intelligence Tools: Changing Computer-driven Business Understandings
A business intelligence architecture includes much more than BI software. Business intelligence information is usually stored in a data warehouse designed for the entire organization or in smaller databases that hold business information for departments and businesses. copy, often with a relationship to the company’s data warehouse. In addition, data lakes based on Hadoop cluster or other big data are used as storage or data landing for BI and data analysis, especially for data logs, sensor data, text and other unstructured or semistructured data.
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BI data can include historical data and real-time data gathered from the process as it is created, enabling BI tools to support both decision-making and comment. Before it is used in BI applications, raw data from different processes must be combined, aggregated and cleaned using data integration and data quality management. tools to ensure that BI teams and business users are reviewing accurate and consistent data.
Initially, BI tools were mainly used by BI and IT professionals who ran queries and created dashboards and reports for business users. Increasingly, however, business analysts, managers and employees are using business intelligence themselves, thanks to the development of personal BI and information search tools. A self-service business intelligence environment enables business users to query BI data, create data visualizations and create dashboards on their own.
BI programs often include high-level information, such as data analysis, forecasting, document search, statistical analysis and big data analytics. A great example is predictive modeling that leads to a what-if analysis of different business scenarios. Often, however, advanced research is conducted by teams of data scientists, researchers, forecasters and other analytical professionals. audit, while the BI team handles direct queries and analyzes of business data.
Overall, the role of business intelligence is to improve the organization’s business operations through the use of relevant information. Businesses that use BI tools and strategies can translate their data into valuable insights about their business processes and strategies. Such insights can be used to make better business decisions that increase profits and revenue, making business faster and more profitable.
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Without BI, organizations cannot make effective data-driven decisions. Instead, managers and employees are often left to make important business decisions based on other factors, such as increased knowledge, experience, imagination and desire. Although these methods can lead to good decisions, they are also prone to errors and mistakes due to the lack of data to support them.
A successful BI project can have many business benefits in an organization. For example, BI allows C-suite executives and business leaders to keep track of operations so they can act quickly when problems or opportunities arise. Analyzing customer data helps make marketing, sales and customer service more efficient. The supply chain, production and distribution can be detected before they cause financial damage. Effective HR managers can monitor employee productivity, compensation and other performance information.
BI programs also provide narrow business benefits – among them, making it easier for project managers to track business events and for organizations to gather intelligence of their competitors. In addition, BI, data management and IT teams themselves benefit from business intelligence, using it to analyze various aspects of technology and medical examination.
Business intelligence combines multiple data analysis applications designed to meet different data needs. Most are supported by both self-service BI software and traditional BI platforms. The list of BI technologies available to organizations includes the following:
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Ad hoc analysis. Also known as ad hoc querying, this is one of the cornerstones of modern BI implementations and the core of self-service BI tools. It is the process of writing and running queries to identify specific business problems. While ad hoc queries are often created on the fly, they often end up working on a regular basis, with analytical results being put into dashboards and reports.
Online analytical processing (OLAP). One of the early BI technologies, OLAP tools enable users to analyze data along multiple dimensions, which is especially suited for complex queries and calculations. In the past, data had to be extracted from the data warehouse and stored in multiple OLAP cubes, but it is increasingly possible to run OLAP analysis directly against columnar databases.
Mobile IB. Mobile business intelligence makes BI applications and dashboards available on smartphones and tablets. Often used more for viewing data than analyzing it, mobile BI tools are often designed with an emphasis on ease of use. For example, mobile dashboards only display two or three data views and KPIs so they can be easily seen on the screen.
Real-time IB. In a real-time BI application, data is analyzed as it is created, collected and processed to provide users with insight into business performance, customer behavior, financial performance and other interests. Real-time analytics systems often include streaming data and support decision-making using metrics, such as credit scores, stock markets and advertising campaigns.
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Operational intelligence (OI). Also called operational BI, this is a form of real-time analysis that delivers data to managers and front-line employees in the business. OI applications are designed to assist in operational decision-making and speed up resolution of issues – for example, helping call representatives to resolve issues for customers and clients manage transportation to facilitate the distribution of bottles.
Software-as-a-service BI. SaaS BI tools use cloud computing systems hosted by vendors to deliver data analysis capabilities to users in the form of services that are typically priced on a subscription basis. Also known as cloud BI, this SaaS option has increased cloud support, which enables organizations to use BI applications on different clouds to meet customer needs and avoid people closed sale.
Open source BI (OSBI). Business intelligence software that is open source usually includes two versions: a community edition that can be used for free and a subscription-based commercial release with user support. sell goods. BI teams can also access the source code for development. In addition, some vendors of BI tools are free of charge, usually for single users.
Embedded BI. Embedded business intelligence tools provide BI and data visualization functionality directly into business applications. That enables business customers to identify data in the applications they use to do their jobs. Embedded analytics features are often included by software vendors, but software developers can include them in home applications.
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Collaborative BI. This is more of a process than a technology. It involves the integration of BI applications and collaboration tools to enable different users to work together on data analysis and share information with each other. For example, users can explain BI data and analysis results with comments, questions and highlight using online chat and interactive tools. .
Location intelligence (LI). This is a special form of BI that allows users to analyze location and geospatial data, with map data visualization functionality included. Geographical intelligence provides geographic insight into business data and operations. Potential applications include location selection for stores and business centers, location-based marketing and logistics management.
Self-service BI and data visualization tools are becoming the norm for modern BI software. Tableau, Qlik and Spotfire, which are now part of Tibco Software, have been leaders in the development of self-service technology in the early days and have become the main competitors in the business BI market. from 2010. Most vendors of traditional BI query and reporting tools have followed their path ever since. so. Currently, almost every major BI tool includes self-service features, such as data visualization and ad hoc queries.
BI tools are available from many vendors as a whole. Major IT vendors that provide BI software include IBM, Microsoft, Oracle, SAP, SAS and Salesforce, which bought Tableau in 2019 and also sold its pre-acquired tools. Google is also in the BI business through its Looker unit, acquired in 2020. Other major BI vendors include Alteryx, Domo, GoodData, Infor Birst, Data Builders, Logi Analytics, MicroStrategy, Pyramid Analytics, Sisense, ThoughtSpot and Yellowfin.
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While full-featured BI platforms are the most common business intelligence technology, business BI also includes other business products. Some vendors offer tools specifically for implementing embedded BI; examples include GoodData and Logi Analytics. Companies like Looker, Sisense and ThoughtSpot target complex and curated data analysis applications. Many things
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