what are the different types of business intelligence tools?
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['SAP Business Intelligence. SAP Business Intelligence offers several advanced analytics solutions including real-time BI predictive analytics, machine learning, and planning & analysis. ... ', 'MicroStrategy. ... ', 'Datapine. ... ', 'SAS Business Intelligence. ... ', 'Yellowfin BI. ... ', 'QlikSense. ... ', 'Zoho Analytics. ... ', 'Sisense.']
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BI capabilities in Excel and Office 365. Business intelligence (BI) is essentially the set of tools and processes that people use to gather data, turn it into meaningful information, and then make better decisions. In Office 365 Enterprise, you have BI capabilities available in Excel and SharePoint Online.
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Data Warehousing helps you store the data while business intelligence helps you to control the data for decision making, forecasting etc. Data warehousing using ETL jobs, will store data in a meaningful form. However, in order to query the data for reporting, forecasting, business intelligence tools were born.
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['Business Analytics. Business Intelligence. ... ', 'Cloud & Smarter Infrastructure (Tivoli) Asset & Facilities Management Maximo. ... ', 'Commerce Solutions. Commerce Solutions. ... ', 'Enterprise Content Management. Advanced Case Management. ... ', 'IBM Collaboration Solutions. Messaging and collaboration. ... ', 'Information Management. ... ', 'Rational. ... ', 'Security Systems.']
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['IT or business-led? ... ', 'On-Premise or Cloud BI? ... ', 'Who are the users? ... ', 'How will the users access the BI solution? ... ', 'Where is the data coming from? ... ', 'How long? ... ', 'How much?']
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The main changes between Excel 2016 and 2013 are associated with the Business Intelligence (BI) features. They can be located on the Insert and Data tabs and include several new chart types, a Power Maps tool and a Forecast Sheet feature.
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The three dominant types of analytics –Descriptive, Predictive and Prescriptive analytics, are interrelated solutions helping companies make the most out of the big data that they have. Each of these analytic types offers a different insight.
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['Database management systems. The most prevalent type of DBMS is the relational database management system. ... ', 'Big data management. ... ', 'Data warehouses and data lakes. ... ', 'Data integration. ... ', 'Data governance, data quality and MDM. ... ', 'Data modeling.']
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['SAS. It is one of those data science tools which are specifically designed for statistical operations. ... ', 'Apache Spark. ... ', 'BigML. ... ', 'D3. ... ', 'MATLAB. ... ', 'Excel. ... ', 'ggplot2. ... ', 'Tableau.']
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['Data Processing Systems (DPS)', 'Management Information Systems (MIS)', 'Decision Support Systems (DSS)', 'Executive Information System (EIS).']
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The commonly used ones are Gantt chart, PERT chart, mind map, calendar, timeline, WBS chart, status table, and fishbone diagram. These tools are all incredibly useful for visualizing the scope of a project.
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['Unstructured Data.', 'Semi-Structured Data.', 'Structured.']
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When strategizing for something as comprehensive as data analytics, including solutions across different facets is necessary. These solutions can be categorized into three main types – Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics.
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["Advanced Analytics. AI's ability to work with massive amounts of data enables real-time, accurate data insights. ... ", 'Warehouse Management. ... ', 'Forecasting. ... ', 'Financial Management. ... ', 'Interdepartmental Processes. ... ', 'Customer Service. ... ', 'Production Processes. ... ', 'Human Resources.']
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['Relational DBMS (RDBMS) Example systems: Microsoft Access and MySQL. ... ', 'Document stores. Example systems: MongoDB. ... ', 'Key-value stores. Example systems: Redis. ... ', 'Search engines. Example systems: Elasticsearch. ... ', 'Wide column stores. ... ', 'Graph DBMS. ... ', 'Time series DBMS. ... ', 'Native XML DBMS.']
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['Conceptual Data Models: High-level, static business structures and concepts.', 'Logical Data Models: Entity types, data attributes and relationships between entities.']
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Business intelligence – Deals with what happened in the past and how it happened leading up to the present moment. It identifies big trends and patterns without digging too much into the why's or predicting the future. Business analytics – Deals with the why's of what happened in the past.