SAS Visual Analytics is a high-performance, in-memory solution for
exploring massive amounts of data very quickly. It enables you to spot
patterns, identify opportunities for further analysis and convey visual
results via Web reports or a mobile platform such as iPad® or Androidbased
tablets.This presentation is a very brief overview of the many features and
capabilities of SAS Visual Analytics. It is meant to get you started
quickly, with a relatively modest data set example (only 1.4 million
rows).Insight Toy Company is an organization that produces and sells toys to
resellers (“vendors”). The data is made up of 34 years of Sales information,
covering 128 cities across the world.
For each row of data (transaction) we have:
Information on the items sold (product brand, line, make, style, SKU)
The sale value (“order total”) and various related costs (distribution, marketing, product)
Information on the sales representative (rating, sales target, actual to date, etc.)
Geographic information (on the vendors as well as the selling facility)
Information on the vendors (rating, satisfaction, distance to nearest facility)
Text Notes taken at the moment of the order taking, based on conversation with the vendor.
This document provides an overview of using various Microsoft tools for data mining, including:
1. Business Intelligence Development Studio (BI Dev Studio) which is used to develop data mining models and contains tools like Solution Explorer and Designers.
2. Creating data sources and data source views (DSVs) to connect to and organize data for modeling.
3. Using the Data Mining Wizard to create mining structures and models by selecting data, algorithms, and parameters.
4. Refining models using the Data Mining Designer and tools like the Mining Structure Editor.
5. Generating reports on model results using SQL Server Reporting Services.
6. Managing databases and models using SQL Server
This document provides instructions for inputting and managing data in SAS. It discusses creating a SAS library to organize data files. Steps are provided to manually create a SAS data set within a library and input data. Importing data from an external file is also mentioned as an alternative to manual input. The document reviews key SAS concepts like librefs and permanent vs temporary libraries.
As a leading data visualization tool Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases together easily. It does not need any complex scripting. Anyone who understands the business problem can address it with a visualization of the relevant data. When the analysis is finished, sharing with others is as easy as publishing to Tableau Server.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
Microsoft Access is a desktop database system intended for home or small business use. It allows users to create and manage related tables of information through features like forms, queries, reports, macros and modules. The basics of Access involve creating tables with fields to store record data. Relationships can then be formed between tables, and forms allow customized layouts for viewing, editing and entering information. Queries retrieve selective data based on criteria, and reports format data from tables for printing. Macros automate tasks, while modules add programming logic using Visual Basic for Applications.
SAS Visual Analytics is a high-performance, in-memory solution for
exploring massive amounts of data very quickly. It enables you to spot
patterns, identify opportunities for further analysis and convey visual
results via Web reports or a mobile platform such as iPad® or Androidbased
tablets.This presentation is a very brief overview of the many features and
capabilities of SAS Visual Analytics. It is meant to get you started
quickly, with a relatively modest data set example (only 1.4 million
rows).Insight Toy Company is an organization that produces and sells toys to
resellers (“vendors”). The data is made up of 34 years of Sales information,
covering 128 cities across the world.
For each row of data (transaction) we have:
Information on the items sold (product brand, line, make, style, SKU)
The sale value (“order total”) and various related costs (distribution, marketing, product)
Information on the sales representative (rating, sales target, actual to date, etc.)
Geographic information (on the vendors as well as the selling facility)
Information on the vendors (rating, satisfaction, distance to nearest facility)
Text Notes taken at the moment of the order taking, based on conversation with the vendor.
This document provides an overview of using various Microsoft tools for data mining, including:
1. Business Intelligence Development Studio (BI Dev Studio) which is used to develop data mining models and contains tools like Solution Explorer and Designers.
2. Creating data sources and data source views (DSVs) to connect to and organize data for modeling.
3. Using the Data Mining Wizard to create mining structures and models by selecting data, algorithms, and parameters.
4. Refining models using the Data Mining Designer and tools like the Mining Structure Editor.
5. Generating reports on model results using SQL Server Reporting Services.
6. Managing databases and models using SQL Server
This document provides instructions for inputting and managing data in SAS. It discusses creating a SAS library to organize data files. Steps are provided to manually create a SAS data set within a library and input data. Importing data from an external file is also mentioned as an alternative to manual input. The document reviews key SAS concepts like librefs and permanent vs temporary libraries.
As a leading data visualization tool Tableau has many desirable and unique features. Its powerful data discovery and exploration application allows you to answer important questions in seconds. You can use Tableau's drag and drop interface to visualize any data, explore different views, and even combine multiple databases together easily. It does not need any complex scripting. Anyone who understands the business problem can address it with a visualization of the relevant data. When the analysis is finished, sharing with others is as easy as publishing to Tableau Server.
The concept about SAS software and it high end tools.
Stay connected for SAS programming Keywords.
Please not this uploaded ppt is not a copy right of any anonymous,this were created by Sushil Kasar for his basic learnings' and sharing Knowledge activities.
Regards,
Sushil & team.
Microsoft Access is a desktop database system intended for home or small business use. It allows users to create and manage related tables of information through features like forms, queries, reports, macros and modules. The basics of Access involve creating tables with fields to store record data. Relationships can then be formed between tables, and forms allow customized layouts for viewing, editing and entering information. Queries retrieve selective data based on criteria, and reports format data from tables for printing. Macros automate tasks, while modules add programming logic using Visual Basic for Applications.
Tableau PPT Intro, Features, Advantages, DisadvantagesBurn & Born
Tableau is a business intelligence tool that allows users to visually analyze and explore data through interactive dashboards and reports. It features rapid data blending, drag-and-drop visualization creation, and real-time collaboration. Tableau's easy-to-use interface enables users to connect to various data sources, manipulate the data through calculations and filters, and create interactive visualizations like charts, maps, and dashboards in just a few steps. While Tableau is powerful and easy to learn, some disadvantages include limitations on custom formatting, lack of scheduling options, and high cost.
Microsoft dynamics ax 2012 development introduction part 1/3Ali Raza Zaidi
This document provides an overview of Microsoft Dynamics Ax 2012 development. It discusses the architecture including the three-tier architecture with separate client, server, and database layers. It also covers non-graphical objects like classes and macros, the data dictionary including tables, views, and extended data types, and forms development in Microsoft Dynamics Ax 2012. The document aims to present a fundamental overview of Microsoft Dynamics Ax development.
SAP Cloud Platform Integration allows users to integrate business processes and data across on-premise and cloud applications in a flexible way. It provides capabilities for both process integration and data integration through its data services offering. For data integration, it allows users to efficiently move data between on-premise systems and the cloud using extract, transform, load tasks. This is done through its agent architecture which provides connectivity to on-premise sources and manages secure data transfer to cloud targets. Users can design and test data flows using its web-based user interface to meet their integration needs.
Presentation on Crystal Reports and Business Objects Enterprise FeaturesInfoDev
Crystal Reports XI-R2 and Business Objects XI-R2 provide report writing and business intelligence tools. Key features include report wizards for linking data from multiple databases and tables, toolbars for formatting reports, and cross-tab reports for summarizing large amounts of data in an easy-to-read table format. Business Objects XI also includes dashboards, scorecards, search capabilities, and developer tools for integrating BI content across portals, applications, and offices documents.
This document provides an introduction to SAS (Statistical Analysis System) including data management and analysis. It covers general topics such as the SAS interface, programs, data libraries and help/documentation. Specific techniques are explained like importing external data, combining and subsetting datasets, and commonly used functions. The document also gives examples of SAS statements for creating and analyzing datasets.
Tableau online training and tableau desktop training by United Trainings.
http://unitedtrainings.com/tableau-online-training/
Whatsapp / call :- +91 - 9100 77 3003/2 ,
Email: info@unitedtrainings.com
Tableau training chicago,
Tableau online training,
Tableau training in hyderabad,
Tableau training in bangalore,
Tableau training online,
Tableau online course,
Tableau developer training,
Tableau interview questions,
Tableau certification,
Tableau training material,
Tableau training chennai,
Tableau training pune,
Qlikview online training,
Qlikview training videos,
Qlikview designer training
This document provides an agenda and overview materials for an SAP BI end user training. The agenda covers topics such as an introduction to SAP BI, Web Intelligence reporting basics and advanced features, and downloading, printing and scheduling Webi reports. The overview materials define key BI terminology, explain the BI landscape and tools, demonstrate how to navigate the BI portal and save reports to folders, and provide more details on various BI concepts covered in the agenda. The training is aimed at teaching end users how to work with and analyze data using SAP's BI reporting tools.
The document discusses alternatives to using SAP servers for reporting, including using Crystal Reports or free software. It analyzes using existing Crystal Reports templates but notes limitations without the SAP server. Windward Studios is presented as a solution that allows template application without errors and supports exporting to databases. The conclusion is that Windward Studios provides advantages over Crystal Reports like avoiding SAP servers and support for cross-platform use in Microsoft products.
1. Images can be stored in SAP HANA using BLOB objects up to 2GB in size.
2. To use images in SAP Analytics Cloud, they must be in ST_MEMORY_LOB format in HANA.
3. A Java program is used to upload sample images saved locally into a HANA table by connecting to the database, specifying credentials, and running the code.
This document provides an overview of MS Access, including its use for database management and application development for small-scale single user applications. It discusses Access objects like tables, queries, forms, reports, and modules. It also covers creating new Access databases using templates and wizards, and using Visual Basic for Applications (VBA) scripting for application development and customization. Common controls, events, and VBA scripting concepts are also introduced.
The document provides an overview of getting started with Tableau, including connecting to data sources, using dimensions and measures to structure views, creating charts and dashboards, and using filters. It explains how to build visualizations by dragging fields to the rows, columns, and marks cards and introduces more advanced topics like data blending and calculations.
Microsoft Access is a relational database management system (RDBMS) that is part of the Microsoft Office suite of applications. It allows users to create and manage databases to store and organize various types of data. Some common uses of MS Access databases include managing inventory, customer information for businesses, and as a backend for small software applications. Access allows users to create tables to store data, queries to extract and analyze specific data, forms to view and edit records, and reports to output data. Relationships can also be set between tables to link related data for combined reporting and analysis.
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
Microsoft Access stores data in its own format based on the Access Jet Database Engine, with a .accdb file extension. The seven major components that make up an Access database are tables, relationships, queries, forms, reports, macros, and modules. Forms display data like store display cases, while queries request and act on data through wizards to create simple or combined queries.
This document provides information on data models in BI Publisher and their components. A data model contains instructions to retrieve structured data from one or more sources to generate BI Publisher reports. It can extract, transform, and aggregate data. Key components of a data model include data sets, triggers, flexfields, lists of values, parameters, and bursting definitions. The data model editor allows users to link data between sets, perform calculations, and select from various data sources when building a data model. It provides an interface to design the data structure and properties. Parameters and lists of values can be added to allow for user filtering of report data.
This document provides an overview and instructions for creating reports using Crystal Reports. It discusses the benefits of Crystal Reports such as creating various types of reports from any data source. It then provides a step-by-step process for creating a basic report which includes connecting to a database, selecting fields, grouping and summarizing data, and adding style. The document also briefly discusses incorporating Crystal Reports into Visual Basic applications.
Dynamics AX 2009 Data Dictionary - Güven Şahin - 04.05.2013guvensahin
This document discusses key concepts in the Microsoft Dynamics AX 2009 data dictionary including MorphX, the Application Object Tree (AOT), opening the AOT, tables, data types, extended data types, base enumerations, and views. The AOT is a tree view of all application objects that allows developers to design objects like tables, forms and reports. Tables store company data and transactions, and have fields, indexes, and relations that define them. Data types include primitive types like strings and integers as well as extended types that can inherit properties. Base enumerations provide predefined values for enum fields, and views are virtual tables that retrieve specified data.
The document discusses using R visualizations in SAP Analytics Cloud. It provides steps to add R visualizations to stories by running R scripts on an external R environment or R server. Examples of visualizations that can be created include pie charts, scatter plots, bubble plots, diverging bars, and dot plots. The document also discusses using ggplot2 to generate these visualizations from R scripts integrated with SAP Analytics Cloud.
This was presented at SAS Visual Analytics Event on May 15, 2013 in Chennai. This presentation discussed on how SAS Visual Analytics can empower your organisation in gaining valuable insights from your data in the shortest amount of time.
SAS Visual Analytics is a business intelligence tool that provides a single solution for faster, smarter decisions. It delivers self-service analytics capabilities across the enterprise through a central entry point and integrated components for data preparation, exploration, report design, and mobile BI. The tool allows users to gain immediate insights from big data analysis.
Tableau PPT Intro, Features, Advantages, DisadvantagesBurn & Born
Tableau is a business intelligence tool that allows users to visually analyze and explore data through interactive dashboards and reports. It features rapid data blending, drag-and-drop visualization creation, and real-time collaboration. Tableau's easy-to-use interface enables users to connect to various data sources, manipulate the data through calculations and filters, and create interactive visualizations like charts, maps, and dashboards in just a few steps. While Tableau is powerful and easy to learn, some disadvantages include limitations on custom formatting, lack of scheduling options, and high cost.
Microsoft dynamics ax 2012 development introduction part 1/3Ali Raza Zaidi
This document provides an overview of Microsoft Dynamics Ax 2012 development. It discusses the architecture including the three-tier architecture with separate client, server, and database layers. It also covers non-graphical objects like classes and macros, the data dictionary including tables, views, and extended data types, and forms development in Microsoft Dynamics Ax 2012. The document aims to present a fundamental overview of Microsoft Dynamics Ax development.
SAP Cloud Platform Integration allows users to integrate business processes and data across on-premise and cloud applications in a flexible way. It provides capabilities for both process integration and data integration through its data services offering. For data integration, it allows users to efficiently move data between on-premise systems and the cloud using extract, transform, load tasks. This is done through its agent architecture which provides connectivity to on-premise sources and manages secure data transfer to cloud targets. Users can design and test data flows using its web-based user interface to meet their integration needs.
Presentation on Crystal Reports and Business Objects Enterprise FeaturesInfoDev
Crystal Reports XI-R2 and Business Objects XI-R2 provide report writing and business intelligence tools. Key features include report wizards for linking data from multiple databases and tables, toolbars for formatting reports, and cross-tab reports for summarizing large amounts of data in an easy-to-read table format. Business Objects XI also includes dashboards, scorecards, search capabilities, and developer tools for integrating BI content across portals, applications, and offices documents.
This document provides an introduction to SAS (Statistical Analysis System) including data management and analysis. It covers general topics such as the SAS interface, programs, data libraries and help/documentation. Specific techniques are explained like importing external data, combining and subsetting datasets, and commonly used functions. The document also gives examples of SAS statements for creating and analyzing datasets.
Tableau online training and tableau desktop training by United Trainings.
http://unitedtrainings.com/tableau-online-training/
Whatsapp / call :- +91 - 9100 77 3003/2 ,
Email: info@unitedtrainings.com
Tableau training chicago,
Tableau online training,
Tableau training in hyderabad,
Tableau training in bangalore,
Tableau training online,
Tableau online course,
Tableau developer training,
Tableau interview questions,
Tableau certification,
Tableau training material,
Tableau training chennai,
Tableau training pune,
Qlikview online training,
Qlikview training videos,
Qlikview designer training
This document provides an agenda and overview materials for an SAP BI end user training. The agenda covers topics such as an introduction to SAP BI, Web Intelligence reporting basics and advanced features, and downloading, printing and scheduling Webi reports. The overview materials define key BI terminology, explain the BI landscape and tools, demonstrate how to navigate the BI portal and save reports to folders, and provide more details on various BI concepts covered in the agenda. The training is aimed at teaching end users how to work with and analyze data using SAP's BI reporting tools.
The document discusses alternatives to using SAP servers for reporting, including using Crystal Reports or free software. It analyzes using existing Crystal Reports templates but notes limitations without the SAP server. Windward Studios is presented as a solution that allows template application without errors and supports exporting to databases. The conclusion is that Windward Studios provides advantages over Crystal Reports like avoiding SAP servers and support for cross-platform use in Microsoft products.
1. Images can be stored in SAP HANA using BLOB objects up to 2GB in size.
2. To use images in SAP Analytics Cloud, they must be in ST_MEMORY_LOB format in HANA.
3. A Java program is used to upload sample images saved locally into a HANA table by connecting to the database, specifying credentials, and running the code.
This document provides an overview of MS Access, including its use for database management and application development for small-scale single user applications. It discusses Access objects like tables, queries, forms, reports, and modules. It also covers creating new Access databases using templates and wizards, and using Visual Basic for Applications (VBA) scripting for application development and customization. Common controls, events, and VBA scripting concepts are also introduced.
The document provides an overview of getting started with Tableau, including connecting to data sources, using dimensions and measures to structure views, creating charts and dashboards, and using filters. It explains how to build visualizations by dragging fields to the rows, columns, and marks cards and introduces more advanced topics like data blending and calculations.
Microsoft Access is a relational database management system (RDBMS) that is part of the Microsoft Office suite of applications. It allows users to create and manage databases to store and organize various types of data. Some common uses of MS Access databases include managing inventory, customer information for businesses, and as a backend for small software applications. Access allows users to create tables to store data, queries to extract and analyze specific data, forms to view and edit records, and reports to output data. Relationships can also be set between tables to link related data for combined reporting and analysis.
Learning
Base SAS,
Advanced SAS,
Proc SQl,
ODS,
SAS in financial industry,
Clinical trials,
SAS Macros,
SAS BI,
SAS on Unix,
SAS on Mainframe,
SAS interview Questions and Answers,
SAS Tips and Techniques,
SAS Resources,
SAS Certification questions...
visit http://sastechies.blogspot.com
Microsoft Access stores data in its own format based on the Access Jet Database Engine, with a .accdb file extension. The seven major components that make up an Access database are tables, relationships, queries, forms, reports, macros, and modules. Forms display data like store display cases, while queries request and act on data through wizards to create simple or combined queries.
This document provides information on data models in BI Publisher and their components. A data model contains instructions to retrieve structured data from one or more sources to generate BI Publisher reports. It can extract, transform, and aggregate data. Key components of a data model include data sets, triggers, flexfields, lists of values, parameters, and bursting definitions. The data model editor allows users to link data between sets, perform calculations, and select from various data sources when building a data model. It provides an interface to design the data structure and properties. Parameters and lists of values can be added to allow for user filtering of report data.
This document provides an overview and instructions for creating reports using Crystal Reports. It discusses the benefits of Crystal Reports such as creating various types of reports from any data source. It then provides a step-by-step process for creating a basic report which includes connecting to a database, selecting fields, grouping and summarizing data, and adding style. The document also briefly discusses incorporating Crystal Reports into Visual Basic applications.
Dynamics AX 2009 Data Dictionary - Güven Şahin - 04.05.2013guvensahin
This document discusses key concepts in the Microsoft Dynamics AX 2009 data dictionary including MorphX, the Application Object Tree (AOT), opening the AOT, tables, data types, extended data types, base enumerations, and views. The AOT is a tree view of all application objects that allows developers to design objects like tables, forms and reports. Tables store company data and transactions, and have fields, indexes, and relations that define them. Data types include primitive types like strings and integers as well as extended types that can inherit properties. Base enumerations provide predefined values for enum fields, and views are virtual tables that retrieve specified data.
The document discusses using R visualizations in SAP Analytics Cloud. It provides steps to add R visualizations to stories by running R scripts on an external R environment or R server. Examples of visualizations that can be created include pie charts, scatter plots, bubble plots, diverging bars, and dot plots. The document also discusses using ggplot2 to generate these visualizations from R scripts integrated with SAP Analytics Cloud.
This was presented at SAS Visual Analytics Event on May 15, 2013 in Chennai. This presentation discussed on how SAS Visual Analytics can empower your organisation in gaining valuable insights from your data in the shortest amount of time.
SAS Visual Analytics is a business intelligence tool that provides a single solution for faster, smarter decisions. It delivers self-service analytics capabilities across the enterprise through a central entry point and integrated components for data preparation, exploration, report design, and mobile BI. The tool allows users to gain immediate insights from big data analysis.
This document discusses providing technical support and training for SAS Visual Analytics. It lists the SAS Visual Analytics products that can be supported, including Hub, Explorer, Designer, Viewer, and Data Builder. It also outlines requirements for strong SAS programming and SQL knowledge, experience preparing datasets and using LASR procedures, and skills in accessing data, preparing datasets for reporting, and installing and configuring SAS Visual Analytics. Support contact is provided.
This presentation was made by Mr. Deepak Ramanathan, Information Practice Head - SAS North Asia at SAS Forum India 2013. The presentation presents the current scenario on Big Data and how SAS High-Performance Analytics can empower organisations to derive value from this information explosion.
This document discusses how data visualization and visual analytics tools from SAS help the Australian Institute of Health and Welfare analyze large amounts of health and welfare data to support evidence-based policymaking. The Institute collects and links complex data sets to produce information for research and policy discussions. Warren Richter of the Institute explains how SAS visual analytics allows them to explore integrated data from various sectors to gain insights and address questions from policymakers. Visualization simplifies vast data for non-technical users and helps unite teams around common analyses and decisions.
SAS Visual Analytics is a software suite from SAS Institute that provides data preparation, reporting, visualization, and analytics capabilities. SAS Institute is a privately held company founded in 1976 with headquarters in Cary, North Carolina. It has over 13,500 employees serving over 60,000 customers in 135 countries. SAS Visual Analytics integrates data from multiple sources and allows users to explore and analyze data through interactive reports on mobile devices or dashboards.
Truffles are rare edible mushrooms considered a culinary delicacy due to their intense aroma and flavor. Only certain species of truffles, mostly in the Tuber genus, are prized as delicacies. The French black truffle, Tuber melanosporum, is especially valued for its aromatic and fruity qualities.
This document discusses and demonstrates the capabilities of SAS Visual Analytics. It describes how SAS Visual Analytics allows users to prepare, analyze, and visualize data through an easy-to-use drag-and-drop interface without programming. Key capabilities include data preparation from various sources, interactive visualization, predictive modeling, mobile access, and integration with Microsoft Office.
This document discusses predictive analysis of time series data on monthly carbon dioxide emissions in the United States from 1981 to 2003 using SAS. It finds the data is non-stationary and requires log transformation and differencing. A seasonal ARIMA(0,1,0)×(0,1,1)12 model is identified and estimated, with forecasts shown to be close to the true values and within the 95% confidence intervals.
The document describes Dusane's Casino Management System, which provides comprehensive software for casino operations. It includes modules for slot machine management, table games management, cash operations, player loyalty programs, security, and reporting. The system leverages the company's 15 years of experience in casino software implementation worldwide. It is designed to help casinos improve revenues and enhance operational efficiency.
Building a Social Casino App | Mark BeckJessica Tams
Delivered at Casual Connect Tel Aviv 2016. Considering, building or scaling a social casino app? Learn the fundamentals (and a few secrets) from slot and product design to user acquisition, monetization and retention lifecycle marketing.
The document discusses SBI Consulting, a SAS Business Intelligence consulting firm that offers solutions such as forecasting, demand planning, and customer intelligence using SAS software. SBI Consulting provides high-quality consulting services for business intelligence including implementing SAS Visual Analytics solutions with features such as separate test and production environments, release management, and hosting SAS Visual Analytics on an internal server farm. The document provides an overview of SBI Consulting's offerings and an example of how they could implement and host a SAS Visual Analytics solution for a customer.
The document provides an overview of using SAS for institutional research. It discusses importing and exporting data, manipulating data using the DATA step, and performing basic statistical analysis using common SAS procedures. The workshop goals are to teach basic SAS programming skills including importing, the DATA step, PROC SORT, exporting, PROC PRINT, PROC FREQ, PROC SUMMARY, and PROC TABULATE in three hours. If time allows, it will also cover macros, creating text files, and email reports.
Create a basic performance point dashboard epcEPC Group
This document provides instructions for creating a basic PerformancePoint dashboard with three key elements:
1) It describes creating a simple dashboard that contains a scorecard, an analytic grid report, and a filter.
2) It orients the user to the Dashboard Designer user interface which is divided into four main areas: the ribbon, workspace browser, center pane, and details pane.
3) It guides the user through creating the dashboard items - selecting a data source, creating an analytic grid report to display data from the source, selecting or creating KPIs, and then generating a scorecard and filter to populate the new dashboard.
Overview of PowerAnalyzer 4.0
Schema definition - Analytics Design
Creating a Report
Working with Report Data
Working with the Dashboards
Administrating PowerAnalyzer
This document provides an overview of a training on Microsoft Power BI. It introduces Power BI as a business intelligence tool consisting of three core applications: connecting to data sources, data preparation and analysis, and visualization and collaboration. It outlines the key topics that will be covered in the training, including connecting and transforming data in Power BI Desktop, data modeling, analyzing data with DAX calculations, visualizing and formatting data, filters, and refreshing and scheduling reports in Power BI Service. The training will cover the components and building blocks of Power BI, how to use the Power BI Desktop interface, and include hands-on exercises for working with data, creating reports and dashboards, and publishing to Power BI Service.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Key aspects of testing include entering test data, validating that database objects like tables, queries, forms and reports are working as intended, and testing overall system functionality. The goal of testing is to identify any issues and ensure the quality of the database before it is implemented.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Tests are conducted on data entry, individual database objects like tables, forms and reports, as well as the overall functionality of the system. The goal is to identify any issues and ensure the quality of the database before deployment.
The document provides information about the testing phase of database system development. In this phase, system developers and users test the database to ensure it is functioning correctly and free of errors. Key aspects of testing include entering test data, validating that database objects like tables, queries, forms and reports are working as intended, and testing the overall functionality and performance of the system. The goal of testing is to identify any issues and ensure the quality of the database before it is implemented.
Oracle APEX is a tool for building database-driven web applications using only a web browser. The document discusses the architecture, features, and benefits of APEX. It also provides step-by-step instructions for creating tables, loading sample data, and building an initial application with forms and reports using the APEX development environment.
This document provides an overview of developing applications using Oracle Application Express (APEX). It discusses the APEX architecture and components used for browser-based application development like the Application Builder, SQL Workshop, and Administrator. The benefits of APEX are also summarized like rapid development, mobile support, and use cases. Steps for creating a demo "help desk" application are outlined, including designing the database tables, loading sample data, and basic application navigation.
Creating a repository using the oracle business intelligence administration toolRavi Kumar Lanke
This 6 hour tutorial shows how to build an Oracle BI metadata repository using the Administration Tool. The document outlines the steps to:
1. Create a new repository called BISAMPLE and import metadata from the BISAMPLE schema including 5 tables.
2. Verify the connection by updating row counts and viewing data.
3. Create aliases for the imported physical tables.
4. Generate physical keys and joins between the tables in the Physical layer.
The tutorial then previews building the Business Model and Mapping layer in the next section.
The document provides an agenda and overview for a data warehousing training on SQL Server Reporting Services (SSRS). It discusses the architecture of SSRS, using the report designer and wizard, publishing reports, and building OLAP reports. It also assigns participants to create a data warehouse using SQL Server Integration Services from an AdventureWorks database and build BI reports in SSRS.
The document provides information about using the SharePoint List Source and Destination in SQL Server Integration Services (SSIS) packages to transfer data between a SharePoint list and SSIS. It discusses how to configure the source and destination, select columns, write data to SharePoint, and use the components. It also describes using expressions to dynamically set properties and the SharePointUtility API to access SharePoint lists outside of SSIS.
Style Intelligence is a business intelligence tool that allows users to connect to data sources, create queries to retrieve and transform data, and build dashboards and reports for data exploration, analysis, and collaboration. The document provides step-by-step instructions for connecting to common data sources like spreadsheets, databases, and text files; creating queries using a wizard or SQL; and importing data files.
This document provides an overview of the different phases involved in database system development: analysis, design, implementation, testing, and maintenance. It describes key activities in each phase such as problem analysis, designing entity relationship diagrams, creating tables and relationships, and testing the system functionality. The implementation phase involves using database software like Access to construct the system based on the design. Data validation techniques are also discussed to minimize errors. Overall it outlines the systematic process for developing a high-quality database system.
Here are the steps to modify the Order table:
1. Open the Order table in Design view.
2. Select the PlacedBy field and press Delete.
3. Select the BillingDate field and drag it to the end of the table.
4. Click in the field list between CustomerNum and InvoiceAmt.
5. Select Yes/No from the data type dropdown and set the default value to No. Click OK.
6. Enter the new field name as Paid.
7. Add any test records in Datasheet view.
Microsoft Excel Dashboards and Their Features.pdfNitin
In today's data-driven business landscape, having a well-structured sales dashboard is paramount for tracking performance, making informed decisions, and driving growth. I'm excited to share with you my journey in creating a powerful sales dashboard using Microsoft Excel. This project showcases the incredible capabilities of Excel as a tool for data visualization and analysis.
The document provides an overview of a Power BI training course. The course objectives include learning about connecting to data sources, transforming data, building data model relationships, using DAX functions to transform data, and creating visualizations. It discusses topics like importing data from CSV and Excel files into Power BI, using Power Query to transform data, establishing relationships between tables in the data model, using measures and columns with DAX, and building basic and dynamic visualizations. It also provides resources for sample data files and additional learning materials for the course.
Power bi slide share pdf it is a very importantSatyabratarath5
It is first pdf I am Satyabrata rath my 1st pdf in power bi it is most wonderful pdf .A basic knowledge in power bi
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The Documentation Phase is the fifth phase of system development where documentation is produced. Documentation includes user manuals written in simple language to help users understand how to use the system, and technical documentation written for system developers as a reference for system improvement and maintenance. Producing documentation is important as it provides information on what was done in the program and reduces the time needed for new developers to learn about existing systems.
SAS Viya is a visual analytics platform that allows users to perform various tasks including visual data mining, machine learning, fraud detection, and data manipulation. It contains procedures for machine learning algorithms like random forests and neural networks. It also contains statistical procedures like clustering, regression, and principal component analysis. SAS Viya supports analyzing data using SAS, Python, Java, and Lua for tasks like prediction, scoring, and text mining.
Dataflux Training syllabus Dataflux management studio training syllabus ,Dat...bidwhm
This 10-day training covers the DataFlux data management platform including data quality, profiling, jobs, process flows, expressions, SQL, and matching. Key components explored are the DataFlux studio, repositories, quality knowledge bases, and macro variables. Specific topics covered include exploring data connections, running process jobs, data input/output nodes, the expression engine language, SQL nodes, parallel processing, and using various utility, profiling, and quality nodes.
This document discusses SAS Master Data Management (MDM) software. It provides an overview of SAS MDM's capabilities including data extraction, validation, standardization, consolidation from multiple sources into a single view, and support for entities, attributes and relationships. SAS MDM also features embedded data quality checking, source system harmonization, a multidomain data model, integrated data governance, access to big and traditional data, and a centralized dashboard.
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The document discusses outsourcing resources, technical support, training and installation/admin support for DataFlux Data Management Platform. It provides an overview of DataFlux Data Management Studio and the DataFlux methodology of planning, acting and monitoring. It also outlines various functions within the platform like managing repositories, data connections, data collections, data explorations, business rules, data profiling, data jobs, expression engine language and more.
SAS Anti-Money Laundering software helps financial institutions comply with anti-money laundering and counterterrorism financing regulations through a risk-based approach to monitoring large volumes of transactions for illicit activity using multiple detection methods. It enables institutions to safeguard their reputation by avoiding fines and penalties for noncompliance while reducing investigation time and costs. Key benefits include monitoring more transactions faster, improving alert quality, and conducting thorough investigations to identify organized crime rings.
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Overview of DataFlux Data Management Studio
DataFlux Methodology: Plan, Act, and Monitor
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Creating , Setting , Working with Data Explorations
Introduction ,Creating Business Rules and Custom Metrics
Overview, Creating , Preparing of Data Profiles
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Thinking of getting a dog? Be aware that breeds like Pit Bulls, Rottweilers, and German Shepherds can be loyal and dangerous. Proper training and socialization are crucial to preventing aggressive behaviors. Ensure safety by understanding their needs and always supervising interactions. Stay safe, and enjoy your furry friends!
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তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
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The simplified electron and muon model, Oscillating Spacetime: The Foundation...RitikBhardwaj56
Discover the Simplified Electron and Muon Model: A New Wave-Based Approach to Understanding Particles delves into a groundbreaking theory that presents electrons and muons as rotating soliton waves within oscillating spacetime. Geared towards students, researchers, and science buffs, this book breaks down complex ideas into simple explanations. It covers topics such as electron waves, temporal dynamics, and the implications of this model on particle physics. With clear illustrations and easy-to-follow explanations, readers will gain a new outlook on the universe's fundamental nature.
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1. VA - Prepare Data
VA- Explorer
VA- Designer
VA -Administration
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2. SAS Visual Analytics Hub
SAS Visual Analytics Explorer
SAS Visual Analytics Designer
SAS Visual Analytics Viewer
SAS Visual Data Builder
SAS Visual Analytics Administrator
2
SAS VA Tools
3. Data preparation: SAS Visual Data Builder,, enables users to
prepare data by summarizing, joining, and reducing the data.
Data Exploration: SAS Visual Analytics Explorer it is a drag-
and-drop data interface that can be used to explore data by
using interactive visualizations such as charts, histograms,
and tables
3
4. Reporting: SAS Visual Analytics Designer, which is a
component of SAS Visual Analytics, used for creating reports
or dashboards that can be saved and viewed on multiple
formats and devices
4
6. Visual Data Builder enables
you to import Excel
data(*.xls, or *.xlsx formats),
Any delimited text files, SAS
data sets, Oracle database
tables,
Limited Load it into the in-
memory LASR Server
4GB or less
6
7. A query is a metadata object that manages the references to
input tables, output tables, staging tables, joins, and
summarizations from a SAS Visual Data Builder session
You can create a new query by clicking from the navigation
pane.
7
8. The following list includes some strategies for appending data:
Design a query to load the baseline data to the output table and
run it.
Modify the query, or use Save As to create an identical query and
modify that one.
Select the Append data check box.
Add a filter on the Where or Having tab to select the changed data.
Schedule the query.
8
9. On the Properties tab, you can specify the following properties:
Name
Location
Description
Unique values
Append data
Designing Queries Manual code
Table
Location
output table metadata.
Library
Partition by
9
10. SAS Visual Data Builder supports staging data.
Staging data is a best practice because you can use SAS Visual
Data Builder to access and transfer data from operational
systems once rather than frequently interfere with the
operational systems and reduce their performance
10
11. To use a staging table:
1 Select the top-level query object from the Properties tab.
2 The settings in the Output section must be set.
3 Expand the Staging section, and select the Use a staging table
check box.
4 Specify a library
11
13. 13
Adding a New Column Manually
To add a new column manually:
1 Click the Column Editor tab.
2 Click at the bottom of the table.
3 Specify values for the Column Name, Expression, and Type fields. The remaining fields are optional.
14. On the Column Editor tab, select table-name.column-name
from the Expression column.
If you added a new column manually, then you need to make
sure that you specified a table name and a column name.
Click to open the expression builder. The table name and
column name are added automatically as the default SQL
expression. On the Fields tab, select columns from the source
tables that you have added to the query
14