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Business Intelligence tools comparison

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Business Intelligence tools comparision, with analytics and Big Data Solutions

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Business Intelligence tools comparison

  1. 1. BI Tools Comparison 2018
  2. 2. Document Description 4 Methodology tools evaluation 6 Sections / Category considered 11 Comparison tolos 13 Tableau 14 PowerBI 58 Information Builders 95 SAS 128 QlikView 176 Amazon QuickSight 228 Pentaho 255 Final compasison 295 General index BI Analysis Tools 2
  3. 3. * For each of the analyzed tools, you may find the following table of contents Introduction Architecture Technical Review User features Key Features Tool Review BI Analysis Tools 3 Tools Index
  4. 4. Document description BI Analysis Tools 4
  5. 5. BI Analysis Tools The document presented analyzes and compares 7 of the most powerful Business Intelligence tolos. The tools discussed in the slides are: Tableau, PowerBI, Information Builders, SAS, QlikView, Amazon QuickSight and Pentaho. Document description 5
  6. 6. Evaluation methodology tools BI Analysis Tools 6
  7. 7. BI Analysis Tools To carry out the evaluation, we started with an evaluation file, on which 4 main categories have been defined (tabs): Access & Connection to Data, Explore & Discover, Share & Collaborate and Administration These categories, in turn, are broken down into different sections of analysis. For example: In the category Administration, there are the sections: Security & Administration, Installation & Implementation, Multilanguage and For category Explore & Discover, these are the sections: Views, Analytics functionality, Creating Dashboards, Reports, Multi platform Y Scenario analysis. Evaluation methodology tools 7
  8. 8. BI Analysis Tools Finally, the criteria have been included under the sections. On these, a weight is marked that will mark the importance of the criteria, this will go from 0 to 4, depending on the importance that you want to give to the criterion. The tools will comply more or less with the criteria. For this, it will be necessary to specify a value, which will go from 0 to 3, which will mark the degree to which a tool meets a certain criterion. So the associated result will depend on the importance with which the criterion in question has been marked and, the degree of compliance that the tool has for that criterion. Evaluation methodology tools 8 importance Criteria evaluation Criteria Option Value Option Value 0 - No Important 0 0 - Not Available 0 1 - Good having 1 1 - Minimum 1 2 - Required 2 2 - Suitable 2 3 - Major 3 3 - Excellent 3 4 - Essential 4
  9. 9. BI Analysis Tools Let's take as an example the category Access & Connection to Data, where we have the Access section, which is broken down into 2 criteria: Single web access and Independence desktop application. Let us suppose, in turn, that we have marked these criteria as; 4 - Essential and 2 - Necessary respectively. Suppose also that the tool has obtained the following values: 2 - Suitable and 3 - Excellent. With this we would have to: Single web access: 4 - Essential * 2 - Suitable = 4 * 2 = 8 Independence of… : 2 - Required * 3 - Excellent = 2 * 3 = 6 To obtain the total evaluation for the analyzed section, Access in this case, we would average the results obtained in the criteria under this section. Therefore: (8 + 6) / 2 = 7 Finally, the sections also have a weight, which ranges from 1-6. For example, let's say that Access is marked with a weight 5. We would have that: 7 * 5 = 35 Evaluation methodology tools 9
  10. 10. BI Analysis Tools For the final construction of Tool Reviews, there is a section that we called Result, Which corresponds to the screenshot shown in paragraph Tool Review. he Result section contains all the sections of the different categories. On these, as we have seen, a weight (1-6) will be applied, which will define the importance given to the sections. For the calculation, based on the score obtained by the different tools in the different sections (average of the scores associated with the criteria under the sections), they will be multiplied by the weight that has been defined and will give us the final result of the tool for each of the sections Finally, all the values obtained in the different sections and obtain the final evaluation will be added. Evaluation methodology tools 10
  11. 11. Sections / Category considered BI Analysis Tools eleven
  12. 12. 12 Section Category Weight Access Access & Data Connection 6 Connect to Data Access & Data Connection 6 Transformation / Data Modeling Access & Data Connection 6 Integration Access & Data Connection 6 Analytics functionality Explore & Discover 6 Dashboards creation Explore & Discover 6 Reports Explore & Discover 6 Views Explore & Discover 6 Multiplatform Explore & Discover 4 Scenario analysis Explore & Discover 3 Social skills and collaborative Share & To collaborate 5 Important content Share & To collaborate 3 Security & Administration Administration 6 Installation & Implementation Administration 6 Pricing Administration 6 Multilanguage Administration 4 BI Analysis Tools Sections / Category considered
  13. 13. Comparison tools BI Analysis Tools 13
  14. 14. Tableau 14
  15. 15. Introduction Tableau fifteen
  16. 16. Introduction Tableau is a BI tool that is aimed at ordinary users being able to interpret and understand the data. Tableau has several products: Tableau Desktop, Server, Online, Mobile, Public and Reader. All of them integrate / communicate perfectly among themselves, fostering another of the tool's objectives: collaborative work. Tableau 16
  17. 17. Tableau Desktop Desktop application that allows you to generate visualizations in a simple way. It is designed to adapt to the way of thinking of people. Available for Windows and Mac. Connection to very diverse data sources: relational databases, cloud, big data, etc. It abstracts the user from advanced knowledge of databases or programming. Wide variety of visualizations / graphics available. Integration with simple and powerful maps. All graphics and components have powerful interaction capabilities between them. Possibility to create interactive presentations, called stories within the Tableau environment. Advanced analysis options. Among them, the possibility of including reference lines, prediction functions, creating formulas or calculations through existing data, etc. Tableau 17
  18. 18. Tableau Server Integrated with Tableau Desktop so that, once developed a Dashboard with the desktop version, we publish / share in Tableau Server safely. Available only for Windows servers. Tableau Server allows you to organize information sites, allowing for example, categorize information by department: Human Resources, Marketing, etc. Accessible from browser or mobile device. To interact with the views, for further questions about the data. It presents powerful management capabilities: resource sharing, setting hardware / server memory, defining data sources, security, advanced search solutions, etc. visual interface specification permits users. Tableau 18
  19. 19. Tableau Online "In the cloud" version of Tableau. Saves hardware costs and installation / configuration times. Accessible from browser or mobile device. Allows you to interact with the views, to ask new questions about the data. Security. Only authorized users will be able to interact with your data and dashboards. Programming of data updates and, alerts in cases where data connections are not established. Subscriptions Possibility of subscribing to jobs, receiving notifications directly in the email. Tableau 19
  20. 20. Tableau Mobile Tableau mobile version. Available in App Store (IOS) and google Play (Android). Interactivity and usability adapted to mobile touch devices. Ability to modify the analysis by adding calculations and filters. Tableau twenty
  21. 21. Products. Tableau Public Free version for visualization and interaction with data. Available for Windows and Mac. Connectivity to files / limited databases. Possibility of connecting to files: Excel, Access, Statistical file or text file. It also connects to an OData server. The work is saved only in your Tableau profile. It is not possible to have it on your local hard drive. Products. Tableau Reader Free desktop version. You can open data visualizations created with Tableau Desktop. Available for Windows and Mac. Tableau twenty-one
  22. 22. Architecture Tableau 22
  23. 23. Architecture Tableau provides a scalable solution for creating and delivering web, mobile and desktop analysis. It has a client-server, as shown in the figure below, provides services to different customers architecture: web, mobile, tablet and software installed on desktop computers. Tableau 2. 3
  24. 24. Architecture Tableau architecture consists of the following layers: data layer, data connectors, Tableau Server components, gateway / load balancer and customers. Tableau 24
  25. 25. Architecture Data layer: Tableau does not require that your data be stored in a single system. This adapts perfectly to organizations, since they usually have a heterogeneous data environment: databases, cubes, Excel files, etc. Tableau provides easy options to manage the data in order to access them quickly, thanks to the in-memory data engine. Data connectors: includes a number of data connectors optimized for databases such as Microsoft Excel, SQL Server, Oracle, Teradata, Vertica, Cloudera, Hadoop and many more. Also, there is a generic ODBC connector for any system without a native connector. Tableau provides two modes of interaction with the data: in real time or in memory. Tableau 25
  26. 26. Architecture Real-time connection: appropriate for environments where databases have an effective and optimized performance. Tableau is the front-end for many of the most popular data bases client. In Memory: Tableau offers a fast engine data memory that is optimized for analysis. You can connect your data and then extract your data to gather in memory. Tableau Server components: work Tableau Server is controlled by the following four server processes: Application server: process control application server and exploration permits for web and mobile interfaces Tableau Server. When a user opens a view on a client device, the user starts a session on Tableau Server. This means that an application server process starts and checks the permissions for that user and that view. Tableau 26
  27. 27. Architecture VizQL Server: the VizQL process is responsible for sending queries directly to the data source and returns a set of results that are displayed as images and presented to the user. Each VizQL Server has its own cache that can be shared among several users. Data Server: allows you to centrally manage and store Tableau data sources. It also maintains the Tableau Desktop metadata, such as calculations, definitions and groups. Background component: this component is in charge of updating the scheduled extracts and administering other tasks in the background. Tableau 27
  28. 28. Architecture Gateway / load balancer: the gateway, routes requests to other components. If several processes are configured for any component, the gateway will act as a load balancer and distribute the requests to the processes. When running in distributed environments, the primary server is designated as a physical machine and the others are designated as worker servers, which can execute any number of other processes. There is always a single machine as the primary server. Tableau 28
  29. 29. Architecture Clients - web browsers and mobile applications: Tableau Server provides interactive control panels to users through HTML and JavaScript (AJAX). In addition, Tableau supports: Web browsers: Explorer, Firefox, Chrome and Safari Mobile devices: mobile safari, Android browser and, applications for iPad and Android. Clients - Tableau Desktop: designated environment for the creation and publication of views, reports and control panels in Tableau Server. You can also publish a complete workbook or, a data source. Tableau Desktop also allows you to open any workbook published in Tableau Server or connect it with any published data source, either an extract or a connection in real time. Tableau 29
  30. 30. Technical Review TableauTableau 30
  31. 31. VizQL is a visual language that transforms drag-and-drop actions into data queries and then displays that data in visual form. Technical Review TableauTableau 31
  32. 32. Live query engine allows people to consult diverse data sources: databases, cubes, warehouses, cloud sources and even Hadoop without advanced programming or development knowledge. Memory data engine is an analysis database in memory, focused on overcoming the limitations of existing data warehouses. This technology uses the entire memory hierarchy of the disk up to the L1 cache. The Tableau Online product is a solution in the cloud, which allows users to share visualizations and data sources, abstracting them from the administration of the hardware. It allows the integration with R, allowing the use of the functions of R, its libraries and even saved models. REST API that will allow developers to manage resources programmatically via HTTP. Funcionalidades Técnicas TableauTableau 32
  33. 33. User features TableauTableau 33
  34. 34. User features Data Sources: it is a reusable connection to data. Data Sources published (in real time), contain information connection independent of the workbooks. Data Sources embedded (extract) contains connection information and is associated with a workbook. TableauTableau 3. 4
  35. 35. User features Workbooks: like workbooks in Excel. They contain one or more sheets, which can be: worksheets, dashboard and stories. Let you organize, save and share results. Leaves: where data views to drag and drop fields on the shelves are created. TableauTableau 35
  36. 36. User features Cards and shelves: cards are containers for shelves, legends and other controls. TableauTableau 36
  37. 37. User features Dashboard: combination of several views that can arrange for presentation or to monitor. History: is a sequence of views or dashboards, which are used together to display information. TableauTableau 37
  38. 38. Key Features TableauTableau 38
  39. 39. Key Features - Access & Data Connection TableauTableau 39 Connect to Data Archive • Ability to set file as the source data. For example: Excel, CSV, XML, Text. In Tableau, it allows the connection to Excel files, text files, Access files, statistics files or other files, such as workbooks or data extractions from Tableau. There is also a data interpreter that allows cleaning tasks on the files to which it connects. In addition, if you use the interpreter, it allows you to inspect the changes or incidents that you resolved and how you did it. Possibility of carrying out advanced operations on files: convert information to table, possibility of editing the names of columns, data types, possibility of dividing columns by delimiter, etc. (see data-with-files). Bases de datos • Connections to databases. For example: Oracle, SQL Server, MySQL, PostgreSQL, Teradata, IBM DB2, etc. It includes a good number of connectors for databases. Among the main connectors are: Oracle, Firebird, HP Vertica, Microsoft SQL Server, MySQL, Oracle, PosgtgreSQL or Teradata. Also, it has a generic ODCB connection for any system without a native connector (see connection-db).
  40. 40. Key Features - Access & Data Connection TableauTableau 40 Connect to Data files SAS • SAS7BDAT reading files SAS Allows seamless connection to SAS (* .sas7bdat), simply: Connect> Archive statistics. It supports a single table per file statistics. Once the file is loaded, you can perform various operations: data display, manipulate metadata fields and rows sort, hide / rename fields, etc. (see statistical-file) Cloud / Big Data • Ability to connect with Big Data environments or Cloud, type Hadoop, Spark, Microsoft Azure, etc. Tableau It is aligned with the most cutting-edge advances in database managers, including the already established databases NoSQL and distributed environments for processing files, as Hadoop or Spark. Tableau It has connectors Spark SQL, Google BigQuery, Cloudera Hadoop, MapR Hadoop Hive, Splunk, DataStax Enterprise, etc. Some success stories where it has been used Tableau Big Data environments are: yellow-pages-Canada, mappy or progressive-insurance.
  41. 41. Key Features - Access & Data Connection TableauTableau 41 Connect to Data OLAP cubes • Connecting to OLAP cubes As other data sources, you can work with OLAP cubes in offline mode. including calculated members in MDX is allowed. OLAP data sources available are: Oracle Essbase and Microsoft Analysis Services (MSAS). There are certain limitations onTableau when we connect to a cube, such as aggregations calculation functions: SUM, AVG, CNT, can not be overwritten dimensional cell values, can not be grouped measures can not be created hierarchies, etc. However, for these limitations alternative approaches that would lead us to the same result could be taken. (see tableau-OLAP)
  42. 42. Key Features - Access & Data Connection TableauTableau 42 Connect to Data Other services • In addition to the previous mentioned data sources, possible connection to other environments such as web pages, social networks, code repositories, CRMs (salesforce, Microsoft Dynamics, etc), Google Analytics In Tableau you can also access other sources not as common data such as web pages. To do this, it would be necessary to create a web connector, which will process these data (JSON, XML or HTML). For this purpose, it uses the SDK would, through Javascriptand HTML. also comment that in the community have already created certain Web connectors, eg for JIRA,MapBox, Fitbit, etc. Furthermore, the connection is allowed toCRMs, as salesforce, SAP (SAP Hana, SAP Sysbase ASE, Etc.), analytical sites to sites, such as Google Analyticsservices and other sources. (see connecting-salesforce and connecting-Google-analytics) Offline mode • Availability of having data in memory for agility in response time • Ability to view data offline When we connect to data sources, Tableau can maintain a connection real time or, memory. Since the data engine can access disk storage and RAM and cache, it is not limited by the amount of memory in a system. There is no requirement that the entire data set is loaded into memory to achieve their performance goals
  43. 43. Key Features - Access & Data Connection TableauTableau 43 Transformation / Modeling Data Interface development • Development and modeling will be simple and will not require the end user advanced programming knowledge. In addition it will provide an interface for development, either via web or through a desktop application The development interface is extremely intuitive and will allow users to create visualizations very simply, simply drag and drop components and make small adjustments. The development of visualizations can be done from the desktop version or from versionServer or On-line. They are not intended to replace the desktop version, but also offer certain capabilities when creating / viewing analysis. Of course, there are also more advanced operations, such as creating expressions / custom formulas or expressions LOD LOD. Here, things are not so trivial. Combination of different data sources • Combination of different data sources Multiple data sources in a few connection can be made to one or "clicks". In addition, these sources may be combined in the displays to be created. Logically, when we combine different data sources, they have to have columns in common (see combination-data-sources-different).
  44. 44. Key Features - Access & Data Connection TableauTableau 44 Integration Interface development • Customized Portal Tableau allows the embedding of views within web pages, blogs, wiki, intranet portals. These, follow the same conditions as those present in Tableau Server in terms of licensing and restrictions. That is, to see an embedded view, the person accessing the view must have an account in Tableau Server. You can embed the views in two ways: through the share button present in the views, which generates the code that can be copied and pasted into the desired web page or, by entering the custom embed code (see embed-views).
  45. 45. TableauTableau Four. Five Views Graphics • Ability to format / configure graphics • Advanced charting types: bubbles, heat maps, gantt, waterfall, funnel, etc. The graphics can be created / modified in a very simple way with a few mouse "clicks". The rack marks, gives the user a great potential for personalization to the user, being able to establish colors / shapes for the categories, establish descriptions and labels, etc. Regarding the types of graphics, Tableau Desktop offers a variety of visualizations: areas, lines, bars, map, tree diagrams, etc. In addition, it is possible to build other more advanced graphics (Pareto diagrams, cascade graphics, funnel, etc.), in a non-direct way, as shown in the training videos of your website (Section "How to do it” https://www.tableau.com/es- es/learn/training Trends / References • Possibility to visualize or generate trend lines in a simple way, allowing the configuration of these (average, linear, etc.) and, reference lines (markers), with different customization options As long as you are working with numeric data, Tableau, in its Analysis panel of the worksheets, gives the possibility of showing and configuring trend lines. Among the options that could be configured are the Type of model: linear, logarithmic, exponential or polynomial, and other Options such as: showing the confidence bands, allowing different trend lines by color, etc. In addition, you can export the data from the trend line to Access format. As for the reference lines, they can also be shown, through the Analysis panel. There are several configuration options on the reference lines, select the value to build the line, the label to be displayed, the format of the line, etc. (see trend-lines and lines-reference). Key Features - Explore & Discover
  46. 46. TableauTableau 46 Funcionalidad Analítica Fórmulas • Possibility of incorporating new variables from custom calculations / formulas • Existence of predefined functions. Functions for the calculation of% growth, trends, inclusion of financial functions, temporary functions, etc. You can create fields calculated from the data present in the analyzes. To do this, just click "right" in the data panel and "Create calculated field". Here, we will have several predefined functions depending on the type of data. For example: ABS, COS, SIN, FLOOR, etc. for Numbers, CONTAINS, LOWER, STARTSWITH, etc. for Chains. In addition to these types of data, there are predefined functions for Dates, Type Conversion, Logic and Sets. Especially interesting are the User functions, which allow us to access the information of the authenticated user, his name, the group to which you belong, etc. and Table Calculation functions: FIRST, MAX, RUNNING_SUM, RANK_DENSE, etc. You can perform calculations in another way, the so-called level of detail expressions LOD (see expressions-LOD). With these, we can calculate the aggregations that are not in the level of detail of the view. For example, we might want to see, the frequency of orders placed by customers or, we might want to calculate, the contribution of each country to global sales (more examples in: LOD-expressions) Key Features - Explore & Discover
  47. 47. TableauTableau 47 functionality Analytics Forecasting • Allows predictions based on predefined algorithms Forecasting or prognosis, as is currently known within the environment Tableau allows generating, from a statistical model predictions about the data. To make predictions, we need in the analysis, at least one date field, a move to 5 data points. Estimation options can be changed, allowing you to select the date range that will predict, select the dataset to consider in the forecast, or confidence intervals, the prediction model. At this point, we have some restrictions, we can not make predictions about cubes on table views with calculations or measurements or unbundled dimensions (see https://www.tableau.com/es- es/learn/tutorials/on-demand/forecasting). Statistical tools / data mining • Integration with external tools to add functionality predicitivas (R, Weka, Python) In Tableau, you can access the functions and statistical models R. To do this, you need access to a server R to be accessed either from Tableau Desktop or from Tableau Server. There are 4 integrated functionsTableau: SCRIPT_REAL, SCRIPT_STR, SCRIPT_INT, SCRIPT_BOOL. All these models are used to invoke specific features and R and the only difference between them is the kind of result generated. There are some limitations: You can not be exported from Tableau R directly to run new models, if not by the SCRIPT_ functions * They can not be imported visualizations created in R to Tableau can not import data sets R to Tableau. However, it is possible to use R and export data through a supported data source,.csv for example, and then display it in Tableau (see how-integrate-r-and-tableau and using-r-Within-tableau). Key Features - Explore & Discover
  48. 48. TableauTableau 48 functionality Analytics Data Discovery • Interactivity between graphics and other components. As the user selects certain parts of Dashboard.The graphics will be updated as appropriate Available in Tableau of a Dashboard fully interactive and integrated, it is quite simple. In order to obtain it, we need to use basically 3 elements: • Filters: Cut the data you are viewing. Within these settings, you can specify its scope. If you select Apply to worksheets> All using this data source, we will make any changes on the filter affects all components sharing the data source. (see quick-filters Y additional-filtering-topics) • Parameters: Provide a single result in another element. Useful when the value has been incorporated into another element, such as a filter, a set, or reference line calculated field. We can link multiple views of the same parameter. (see parameters) • Actions: There are 3 types of actions: filter, that filter (when "click"About a country on a map, for example) or shoulder, protruding (when mouse over a country for example). URL actions, including field values ​​as dynamic entries. The latter could be used for example to display the Wikipedia entry for the selected country. (see dashboard-interactivity-using-actions). Key Features - Explore & Discover
  49. 49. TableauTableau 49 functionality Analytics Maps integration • Possibility to display data on maps in a simple way. The maps can be integrated via:country, City, zip code, latitude & longitude • Interactivity map. Possibility of clicking on the locations shown on the map and modify the content of these other components within the Dashboard/Panel • Heatmaps. Possibility of certain color intensities based on the underlying securities. Tableau allows the integration of maps into your visualizations. Tableau has an internal database that can recognize the names of common geographical areas, such as country, state, city, etc. If the tool does not automatically recognize a geographical role, it can become at the appropriate level from the context menu. For any geographic column we have in sight,Tableau automatically generated torque: latitude, longitude associated. It may happen, that no correspondence between the geographic role and internal database of Tableau. In these cases, they may be edited unrecognized locations. We can show on maps, brands or different sizes and shapes, we are able also to show maps choropleth. You can add a browser to the map, besides the usual zoom options. several configuration options on maps, like the layers show is also presented: costa, country boundaries, state names, etc. Additionally, you can set background maps from MapBox (see maps-tableau and MapBox-integration). Key Features - Explore & Discover
  50. 50. TableauTableau fifty Multi platform Mobile platforms • Availability in different mobile platforms: Android, iOS, Windows Phone • Mobile version of the tool provides the user with features sharing / collaboration with other users One of the products offered Tableau, is Tableau Mobile, Native applications available iPhone, iPad and devices Android. We may edit or interact with displays from mobile devices intuitively, since the controlsdashboards They adapt automatically to these devices. In the case of iPad Y iPhones, Will be available favorite user views as high-resolution images even when working offline. Ability to subscribe to relevant information from the application. Key Features - Explore & Discover
  51. 51. TableauTableau 51 capabilities social and collaborative Alerts and notifications • Ability to receive alerts or notifications. You are notified, for example, when a threshold is exceeded preconfigured. Default, Tableau integrates 3 types of alerts. They shall be notified via mail periodically based on an established configuration. To work properly, you must configure the SMTP server that will useTableau Server to send mails. • Subscriptions views • Mail alerts for system failures • Alerts based on disk utilization, and can configure sending mails when certain thresholds are exceeded pre-configured To receive alerts and notifications based on variables used in displays, Tableau It not included but there is an alternative developed by the community Tableau which provides it with this functionality (see https://community.tableau.com/docs/DOC-7329) Key Features - Share & Collaborate
  52. 52. TableauTableau 52 capabilities social and collaborative To export • Export Graphics /dashboard PDF, PNG • Export values ​​to CSV, XLS / XLSX • Share dashboard with other users without access to these data sources. The data will be packaged / included within itselfDashboard • The tool allows you to export the data sources so that they can be loaded later Tableau It offers the ability to download a display shown from Tableau Server or Tableau On-line to subsequently loaded from Tableau Desktopand to modify it. In addition, we also export a display image data (format.txt), Crosstab or PDF. The displayed content can also be shared with other users via mail. In this case, you would be asked to issue user credentials before they can view the content. As already seen in some previous point, the data can be packaged in the workbook. distribution planner • Delivery of reports /dashboards via mail In Tableau, the contents are created from application Desktop to subsequently publish either version Server or in the On-line. Tableaua scheduler has no content itself. However, this functionality could be achieved otherwise. To do this, it would make a small script to take care of this task (see http://kb.tableau.com/articles/knowledgebase/using-tabcmd). Key Features - Share & Collaborate
  53. 53. TableauTableau 53 Security & Administration Security • Level permissions Report /Dashboard • Data-level permissions • Application of Statistical Secrecy (LOPD). Hiding sensitive information • Integration with third-party authentication services (CAS, LDAP, AD, etc) • The information is always displayed based on the roles to which users belong, limiting the information to be displayed as appropriate In Tableau there are 3 levels of security: access, object and data. Regarding access security,Tableau Server supports 3 types of authentication: microsoft Active Directory, Local authentication administered Tableau Server and reliable authentication creates a relationship of trust between Tableau Server and one or more web servers. As for security purpose, the contents published, as data sources, workbooks and views, can be administered with permits for typical actions view, create, modify and delete. You can create groups to facilitate permission management, such as "marketing users." Finally, data security can be achieved through capacity Table auto have filters which, depending on the user or group, the data displayed is restricted. There is also the possibility of configuring communications between Tableau Desktop and Tableau Server for HTTPS. Key Features - Administration
  54. 54. TableauTableau 54 Security & Administration Security • Security integration via JDBC • Integration Application Servers On the point Data Access & Wireless> Integration> Custom PortalAs we have seen that they can "imbibe" views on personalized portals (see embed-views), So that integration with common applications servers, could be carried out smoothly. However, it is worth noting that, despite views to embed within an application within all application servers would not be possible to deploy Tableau Server on all servers. This would only be possible toMicrosoft Windows Server 2008 SP2 or later. Tableau accepts impersonation, through which allows a user to act on behalf of another user account. So that you can set Tableau Y Microsoft SQL Server for impersonation user database, so that the account database used by SQL Server Tableau Server conduct inquiries on behalf of users of the database SQL Server, which are also users Tableau (see impersonalization, impers_requirements, impers_how). Roles user / group • Possibility of establishing roles for Users / Groups As already mentioned in the Security section, published content, such as data sources, workbooks and views, can be administered with permits for typical actions view, create, modify and delete. You can create groups to facilitate permission management, such as "marketing users." Key Features - Administration
  55. 55. TableauTableau 55 Installation & Implementation Citrix • Possibility of development in virtualized servers (Citrix MetaFrame, XenApp) Tableau products work in virtualized environments when they are configured with the appropriate hardware and operating system. We would install the tool and, subsequently, we would need to activate it with the product key volumetry • Ability to work with large data volumes A Tableau extraction (* .tde) is a subset of data that we can use to improve the performance of your workbooks. These extractions are based on columnar models, which means that the data is stored in column sections, which allows maximum compression of the data. An extract from Tableau is not a replacement for the Data Warehouse, so it is important that the underlying servers and databases are powerful. In the following link, some tees made with Tableau Desktop and different datasets can be seen: http://blog.crgroup.com/how-much-data-can-tableau-handle/ Tableau Server Tableau Server can be configured for high availability. For this, it would be necessary to make the configuration to integrate redundancy, which reduces the possibility of inactive time. The four areas that require redundancy are the data engine, repository, and link processes, and the primary Tableau Server. Obviously, this type of configuration requires several nodes. The minimum configuration for high availability is a three-node system (see high-availability). To install Tableau Server in several nodes, you must have a license for multi-machine cores from Tableau Server Key Features - Administration
  56. 56. Tool review TableauTableau 56
  57. 57. Tool Review TableauTableau 57 Section Tableau Access 36.0 Connect to Data 58.2 Transformation / Data Modeling 50.0 Integration 34.5 Analytics functionality 63.2 Dashboards Creation 36.0 Reports 24.0 Views 72.0 Multi platform 36.0 Scenario analysis 18.0 Social skills and collaborative 39.5 Important Contents 27.0 Security & Administration 39.3 Installation & Implementation 52.7 Pricing 48.0 Multilanguage 32.0 Total 666.4
  58. 58. PowerBI 58
  59. 59. Introduction PowerBIPowerBI 59
  60. 60. Introduction Power BI transforms corporate data into visual objects, allowing the user to focus on what really matters. It consists of a set of business analysis applications that enable analysis of data and information sharing. PowerBI 60
  61. 61. Power BI Desktop Ease of creating visualizations. Simply drag and drop the items where desired. Transforms / modeling and data cleaning. Ability to share / publish the information. PowerBI 61
  62. 62. Power BI Cloud version of Power BI. Service that reports subsequently be accessed via Power BI Desktop or Mobile will be published. Possible connection to a variety of data sources. Customized content. These include panels, reports and data sets containing a series of displays. Groups Power BI adds collaboration capabilities to make everyone use the correct data. REST API open to enable the integration of apliciones / services. PowerBI 62
  63. 63. Power BI Mobile Version adapted to mobile devices. It has native applications on Windows, iOS and Android. Data-driven alerts to keep updated with the most current data. Possibility of sharing reports and dashboards. Annotations can also be performed on the displays for the rest of team members to see. PowerBI 63
  64. 64. Power BI Gateways Tool that acts as a bridge between the Power BI service and data sources, taking care of your soda or upgrade. It installs and runs as a service with the Windows account. Only available in the Pro version Power BI versions of Windows 64 bits. Useful to refresh local data sets loaded from: books Excel 2013 or later, or Power BI Desktop files. Different data sources on which settings can be made, depending on the version: Personal or Enterprise. Ability to schedule the frequency with which the data will be refreshed. Data traffic between Power and Power BI BI Gateways service is done safely through Azure Service Bus. PowerBI 64
  65. 65. Architecture PowerBI 65
  66. 66. Architecture Each implementation of Power BI consists of two clusters: a front-end web (WFE) And a back-end. PowerBI 66
  67. 67. Architecture. Front-end WFE manages the authentication process and initial connection AAD It provides tokens for connections to users He Azure Traffic Manager directs traffic to the nearest data center Power BI uses Network Azure content delivery (CDN) to effectively distribute the necessary static content and files to users depending on the geographic region PowerBI 67
  68. 68. Architecture. Back-end The back-end cluster reports on how customers interact with authenticated service Power BI. Manages displays, panels, datasets, connections, etc. The role Gateway liaises between user requests and Power BI service. PowerBI 68
  69. 69. Architecture. Data Storage Power BI uses two repositories for storing and managing data. The data stored by users, typically target Azure BLOB. An example would be when a user imports an Excel file into a workbook, in this case the data would be stored in memory (for 1 hour approx.) Metadata and artifacts of the system itself are stored in SQL Azure Database. For example, information to be sent to this store will be: dashboards, reports, recent data sources, workspaces, etc. PowerBI 69
  70. 70. Technical Review PowerBI 70
  71. 71. Power BI consists of a number of components, harmonically integrated. Power Pivot: It is the engine that performs all calculations (in memory), brings together all the data and creates the analytical model that can be exploited later with other tools Power Query: solution for data easily with search functionality, processing and cleaning them Power View: data visualization tool for exploring data simple, intuitive and interactive way Power Map: 3D display to map, explore and interact with the geographic and temporal data. Technical Review PowerBI 71
  72. 72. Technical Review Cloud: Power BI is a cloud service that allows users to view and analyze data easily. Allows the execution of scripts R and import the resulting data sets in a data model of Power BI Desktop. DAX: collection of functions, operators and constants that can be used in a formula or expression, thus being capable of creating information from other data already. Queries in Natural language (so far only supported in English). Feature that makes the difference compared to other tools in the market, asks questions of their models and the system is capable of performing filters, systems and clusters that satisfy your question generating new graphics as a result. Power BI can be extended using REST APIs that facilitate the development tools integration with Power BI. PowerBI 72
  73. 73. User features PowerBI 73
  74. 74. User features Data origin: It is the location where the data actually come. For example: Google Analytics, a SQL data or local file, etc. Datasets: It contains information about the data source, the user credentials and, most often, a subset of data copied from this data source. PowerBI 74
  75. 75. User features Report: composed of one or more page views (graphics and images). A report may be associated with several panels can be created using data from a dataset and that report could be imported into Power BI. PowerBI 75
  76. 76. User features Panel: It is a single canvas that contains one or more icons or widgets. Each icon shows a single view created from a dataset and anchored to the panel. A panel displays can display many different data sets and reports. PowerBI 76
  77. 77. Key Features PowerBI 77
  78. 78. PowerBI 78 Key Features - Access & Data Connection Connect to Data Archive • Ability to set file as the source data. For example: Excel, CSV, XML, Text. Power BI allows obtaining data files Excel, CSV, XML, Text, JSON and even lets you import metadata and links about files in a folder. Databases • Connections to databases. For example: Oracle, SQL Server,MySQL, PostgreSQL, Teradata, IBM DB2, etc. It includes a number of data connectors optimized for databases. Among the main connectors they are: Access, IBM DB2, SQL Server, MySQL, Oracle, PosgtgreSQL Y Teradata Also it has a connecting ODCB generic for any system without a native connector. SAS files • Ability to connect with Big Data environments or Cloud, type Hadoop, Spark, Microsoft Azure, etc. PowerBI integrates some possibilities for communication with Cloud and Big Data environments. Some possibilities in the Cloud section are the possibility of obtaining data Azure HDInsight Spark (Beta) or microsoft Azure Document DB (Beta) version NoSQLMicrosoft oriented documents. SincePower BI also given the opportunity to connect with Apache Hadoop (HDFS) or Spark (Beta).
  79. 79. PowerBI 79 Key Features - Access & Data Connection Connect to Data Cloud / Big Data • Ability to connect with Big Data environments or Cloud, type Hadoop, Spark, Microsoft Azure, etc. Power BI integrates some possibilities for communication with Cloud and Big Data environments. Some possibilities in the Cloud section are the possibility of obtaining data Azure HDInsight Spark (Beta) or Microsoft Azure Document DB (Beta) NoSQL version oriented to Microsoft documents. Since Power BI also given the opportunity to connect with Apache Hadoop (HDFS) or Spark (Beta). OLAP cubes • Connecting to OLAP cubes With Power BI, we can access SSAS multidimensional models. To do this, from the window of "Get Data", selectDatabase> SQL Database Server Analysis Services. With this type of connection, consumption various elements are supported, including: KPI trends, default members, dimension attributes, hierarchies, etc. There are also some restrictions on the use of multidimensional models. (see https://powerbi.microsoft.com/es-es/documentation/powerbi-desktop-ssas-multidimensional/)
  80. 80. PowerBI 80 Key Features - Access & Data Connection Connect to Data Other services • In addition to the afore mentioned data sources, possible connection to other environments such as web pages, social networks, code repositories, CRMs (salesforce, Microsoft Dynamics, etc), Google Analytics PowerBI has the ability to connect to a variety of services. InPower BI can access information as directory services Active Directory, CRMs as Dynamis CRM Online or Salesforce (possibility of access to objects or reports, powerbi-content-pack-salesforce) Social networks like Facebook, Code repositories as Github (powerbi-content-pack-github), Service providers email marketing as MailChimp and many others. Offline mode • Availability of having data in memory for agility in response time • Ability to view data offline We have the ability to work offline mode via the product Power Mobile BI. This, will allow access to the latest information, even with limited connectivity. This is possible thanks to the behavior of the application every 2 hours, updates the contents of the views and the “caches" so that they are accessible even with limited connectivity (so far available for Android devices and iOS, (see offline-capabilities-for-power-bi- mobile-apps).
  81. 81. PowerBI 81 Key Features - Access & Data Connection Transformation / Modeling Data Interface development • Development and modeling will be simple and will not require the end user advanced programming knowledge. In addition it will provide an interface for development, either via web or through a desktop application Power BI Desktop has an intuitive interface development will allow users to create analysis of a very simple way. Basically, it is sufficient that the user select the items to display and drag on the view, then you can adjust and format the graphic objects as desired. Generally speaking, it has a great usability. However, other operations, such as creating measures / custom columns that require more advanced skills. Combination of different data sources • Combination of different data sources To combine different data sources PowerBI, Simply go to the option Edit queries> combine queries, Where we can select queries to merge, and the type of combination (similar to JOINS: LEFT, RIGHT, INNER, etc.). Clearly, if the merge process is satisfactory, the data sources must maintain columns in common.
  82. 82. PowerBI 82 Key Features - Access & Data Connection Integration personalized Portal • Possibility of integration into an external portal (Liferay, Sharepoint, etc) The PowerBI team is studying the possibility of integration and reporting and dashboards with online pages in SharePoint (see power bi Ideas). Additionally, with Power BI, it is possible to integrate reports and icons from a Power BI account by inserting an IFrame element in an application, such as a mobile application or a web application (see to integrate power bi tile).
  83. 83. PowerBI 83 Views Graphics • Ability to format / configure graphics • Advanced charting types: bubbles, heat maps, gantt, waterfall, funnel, etc. Once configured the data sources, managed relationships and other operations are required, we can create reports quickly and intuitively. From the report view, you can create visualizations that can then be published in Power BI, and anchored to a panel. From the side panels Visualizations and Fields, we can configure the analyzes. To do this, we will select the desired fields and the visualization that best suits the analysis that wants to be done. Subsequently, adjustments can be made to the graphics: colors, labels, title, etc. Key Features - Explore & Discover
  84. 84. PowerBI 84 Views Trends / References • Possibility to visualize or generate trend lines in a simple way, allowing the configuration of these (average, linear, etc.) and, reference lines (markers), with different customization options. They can be displayed and configured reference lines Power BI (see baselines). For this purpose, there are two possible options: • Through the side panel Views, Activate the option Reference line and it gives you the ability to set certain parameters as: value (line location), color, transparency, style, tag, etc. • Creating a new field (column) in the data set and then using the value of said column displays to display. As for trends, PowerBI does not have a direct functionality to get it. However, the PowerBI team is working on this functionality so that will probably be included in future versions of the product (see ability- to-add-trend-line-to-charts). Key Features - Explore & Discover
  85. 85. PowerBI 85 Analytics functionality formulas • Possibility of incorporating new variables from calculations / custom formulas • Existence of predefined functions. Functions for calculating the% growth, trends, including financial functions, temporary functions, etc. Power BI allows the creation of computed columns (see calculated columns). In this way, they can add new data to an existing table in the model. To create this column, a formula expression data analysis (DAX) defining column values ​​will be created. The DAX formula language (see language dax) Includes a library of over 200 functions, operators and constructions. These formulas are very similar to Excel formulas, in fact, it has many of the functions that integrates Excel. Forecasting • Allows predictions based on predefined algorithms Functionality not directly available PowerBI. Still, it could be reached by relying on getting the power tool gives the DAX expressions. For an example, see the following link:recursive calculations using DAX. Key Features - Explore & Discover
  86. 86. PowerBI 86 Analytics functionality Statistical tools / data mining • Integration with external tools to add forecasting functionalities (R, Weka, Python) In Power BI Desktop, you can run R scripts and import the resulting data sets into a Power BI Desktop data model. This functionality is in Beta phase. In order to have this functionality, it is necessary to install R on the local computer .A more detailed description of the process to follow is shown in the following link: Scripts r power bi. An example of "Forecasting” with R and Power BI can be seen here: powerbi-r. Data Discovery • Interactivity between graphics and other components. As the user selects certain parts of DashboardThe graphics will be updated as appropriate The visualizations that we develop within the same page of the report, will be all connected to each other. Which means that, if we select one or several values ​​in a visualization, other visualizations will change depending on that selection. The two modes that you have to interact with the visualizations in Power BI are: • Filters: Remove all data except those where you want to focus. Here, we have 3 possibilities. • Page filter: Applies to all page views Report • Visual filter: Applies to a single view of one page of the report • Report Filter: Applies to all pages of the report • Highlighted: This interaction does not filter, but highlights a subset of data visible; unhighlighted data remain visible but attenuated. Links: filters and highlighted, incorporating filters in reports Key Features - Explore & Discover
  87. 87. PowerBI 87 Analytics functionality Maps integration • Possibility to display data on maps in a simple way. The maps can be integrated via: country, City, zip code, latitude & longitude • Interactivity map. Possibility of clicking on the locations shown on the map and modify the content of these other components within the Dashboard/Panel • Choropleth maps. Possibility of certain color intensities based on the underlying securities. Power BI integrates with Bing to provide the coordinates of predetermined maps and facilitate the creation of maps. Bing uses some algorithms and suggestions to try to obtain the correct location, although it is an approximate calculation. To increase it is important to use the suggestions proposed in the documentation (see suggestions). In the data view, Power BI allows you to categorize a column to: address, city, continent, country or region, county, latitude, longitude, place, postal code or, state or province. The default maps are interactive, and act as a filter / highlight on the rest of the visualizations. Finally, there is the possibility of displaying coroplast maps (see coroplast maps) Key Features - Explore & Discover
  88. 88. PowerBI 88 Multi platform Mobile platforms • Availability in different mobile platforms: Android, iOS, Windows Phone • Mobile version of the tool provides the user with features sharing / collaboration with other users With Tableau Mobile, users can stay connected to data from anywhere and anytime. Currently,Power BI has native applications for iPhone, iPad, Android and Windows 10 devices. On mobile platforms, you will be able to see and interact with reports and dashboards and reports will be shared assets and panels with other users. Key Features - Explore & Discover
  89. 89. PowerBI 89 social skills and collaborative Alerts and notifications • Ability to receive alerts or notifications. You are notified, for example, when a threshold is exceeded preconfigured. This functionality, today is not implemented in the service that Power BI offers in the cloud. However, it is possible to use this functionality via Mobile app. Specifically, this functionality is only available for iPhone devices. From this, we can configure alerts. The alert can be configured to receive notification when a value exceeds a certain upper, lower or both thresholds. To export • Export Graphics /dashboard PDF, PNG • Export values ​​to CSV, XLS / XLSX • Share dashboard with other users without access to these data sources. The data will be packaged / included within the dashboard itself • The tool allows you to export the data sources so that they can be loaded later It is posible to export the underlying information displays to files csv. The number of rows that can be downloaded is limited to 10000. In addition, the views can also be exported to pdf. the tool does not currently allow the export of data sources. Key Features - Share & Collaborate
  90. 90. PowerBI 90 Security & Administration Security • Permissions at the level of Report / Dashboard • Data level permissions • Application of Statistical Secrecy (LOPD). Hiding sensitive information • Integration with third-party authentication services (CAS, LDAP, AD, etc.) • The information is always shown based on the roles to which the users belong, limiting the information to be displayed when Under Power BI, there is a complex authentication layer, which, based on local Active Directory servers, allows users to log in (more information on powerbi security). The level of reports and dashboards security is achieved through collaboration groups. In these, the administrator can define which users should be. Data level security can be obtained through rules that can be defined through DAX expressions and user roles. In this way, different users can view different contents. In Power BI, when a group is created (only available in the Power BI Pro version), we have the possibility of generating two types of roles: Administrators and Members. The latter, by default, can edit the contents. This configuration can be changed so that users under the Member role can only view the contents (see groups). Key Features - Administration
  91. 91. PowerBI 91 Security & Administration Security • Security integration via JDBC • Integration Application Servers In the point Access & Data Connection> Integration> Custom Portal, we have already seen that you can "embed" views in custom portals (see integrate-a-power-bi-tile-or-report). However, it should be noted that, despite being able to embed visualizations within an application within an application server, it would not be possible to deploy Power BI on any of them, because it is a solution in the cloud. Both in the case of integration with SSO applications, and with security via JDBC, Power BI would not be possible. Keep in mind, that Power BI is a service hosted entirely in the cloud, so you do not have as many possibilities of configuration compared to a service that could be integrated into the servers of the companies Roles user / group • Possibility of establishing roles for Users / Groups A Power BI administrator can create groups and assign users to them. It is important to emphasize that Power BI supports the creation of groups only under the Pro version of your product. Regarding the roles, as has already been mentioned in the Security section, there can be two: Administrators and Members, who can edit content by default, but Power BI allows modifying this behavior. Key Features - Administration
  92. 92. PowerBI 92 Installation & Implementation Citrix • Possibility of development on servers virtualized (Citrix MetaFrame, XenApp) Installation in a virtual environment such as Citrix, is identical to the installation in a normal environment. We would install the tool and then any user would have access to the desktop version of the tool. Volumetry • Ability to work with large data volumes When we use Power BI, the tool creates a local cache with the data it uses. Therefore, this cache is subject to certain limits. Specifically, because that information is stored in memory, we will be limited by the amount of memory we have in the machine and, for the amount of data that can be compressed, so, a knowledge of how Power BI compresses the data , could lead us to work with more data. These limits apply to both the desktop version and the cloud version. There is a limit of 250 MB for each data set that is imported in Power BI (see data-model limit and dataset limit). It is necessary to take into account here the limits imposed by the license that is being used: 1 GB for free users and 10 GB for PRO users (see data- capacity). There are also certain limitations if the service will be used via API REST: API REST limits. Key Features - Administration
  93. 93. Tool Review PowerBI 93
  94. 94. Tool Review PowerBI 94 Section PowerBI Access 36.0 Connect to Data 46.8 Transformation / Data Modeling 46.0 Integration 34.5 Analytics functionality 59.3 Creation dashboards 36.9 Reports 24.0 Views 64.0 Multi platform 36.0 Scenario analysis 0.0 Social skills and collaborative 32.5 Important contents 27.0 Security & Administration 20.7 Installation & Implementation 33.3 Pricing 72.0 Multilanguage 32.0 Total 601.0
  95. 95. 95 Information Builders
  96. 96. Introduction 96 Information Builders
  97. 97. Introduction Information Builders Its motto is based on three competencies are: Intelligence Integration and Integrity, which are built on a common architecture. For each of these competencies, WebFOCUS offers a fairly broad set of products to meet all the needs that an organization can have on their business. 97 Information Builders
  98. 98. Intelligence. Product overview XBRL Financial Reporting Exchange rstat Development Studio Application Studio Enable for Adobe Flex InfoAssist visual Discovery Quick Data Pro Server ReportCaster Hyperstage Performance Management Framework Portal Mobile Favorites Maintain Administration Active Technologies Workload Distribution Facility 98 Information Builders
  99. 99. Integration. Product overview iWay Service Manager iWay Parallel Service Manager iWay Universal Adapter Suite iWay DataMigrator iWay Activity Monitor (BAM) iWay Event Manager iWay Trading Partner Manager iWay Business Service Provider iWay Enterprise Index iWay Managed File Transfer (MFT) iWay Cloud Services for Amazon EC2 99 Information Builders
  100. 100. Integrity. Product overview Information Builders iWay Data Quality Center iWay Data Steward Portal iWay Master Data Center iWay Data Profiler iWay EIM Server iWay Enterprise Master Patient Index Information Builders 100
  101. 101. Architecture Information Builders 101 Information Builders
  102. 102. Functional architecture Information Builders 102 Information Builders
  103. 103. Architecture of Components Information Builders 103 Information Builders
  104. 104. Technical Review Information Builders 104 Information Builders
  105. 105. Technical Review It offers a platform of solid development complete and integrated that allows the access to the information to any type of level inside the organisations (executive, analytical and operational) Highly scalable and portable since it works in around 35 platforms. It integrates with the infrastructures of existent Internet. Content of WebFOCUS entregable by means of solutions of portal like mySAP, Plumtree, IBM WebSphere, Microsoft Sharepoint, jBoss, TIBCO, SunOne, etc. It offers one of the main lists of connectors of data. The native architecture of WebFOCUS, oriented to services (SOA), offers protection in diverse levels: roles, applications and data. It is possible also, make the integration with the infrastructure of existent security Servers multihilo, that allows that multiple users can access to the same information without overburdening the servers. Information Builders 105 Information Builders
  106. 106. User Features Information Builders 106 Information Builders
  107. 107. User Fatures Reports that support high levels of parameterization and numerous output formats: Excel, PivotTable, PDF, HTML, XML, PowerPoint, etc. Storage, recovery and agile distribution of information via email, web browser, mobile devices, faxes and printers. It allows the delivery of information in any format to any mobile device and also allows offline analysis. Ease of design and management of workflows, being able to detect and monitor practically any technology event. Information Builders 107 Information Builders
  108. 108. Key Features Information Builders 108 Information Builders
  109. 109. Information Builders 109 Key Features - Access & Connection to Data Connect to Data Archive • Possibility to configure like origin of data archives. For example: Excel, CSV, XML, Text. Among the available possibilities are: flat files, Excel, XML and CSV (see http://www.informationbuilders.com/products/webfocus/data_access). Databases • Connection to databases. For example: Oracle, SQL Server, MySQL, PostgreSQL, Teradata, IBM DB2, etc. It has a wide listing of possibilities. Among the most stood out are: Access, Informix, MySQL, Oracle, PosgreSQL, Microsoft SQL Server, Teradata, etc. To see the complete list of origins of databases endured: http://www.informationbuilders.com/products/webfocus/data_access. Files SAS • Reading of files SAS7BDAT of SAS It exists the possibility to connect to SAS with the connector ODBC of SAS. Information Builders
  110. 110. Information Builders 110 Key Features - Access & Connection to Data Connect to Data Cloud / Big Dates • Possibility of connecting with Big Data or Cloud environments, such as Hadoop, Spark, Microsoft Azure, etc. In the field of Cloud / Big Data, Information Builders - WebFOCUS, through the adapters, gives the possibility of connection to environments such as Hive, Hortonworks, MongoDB, Clodera Impala, Cassandra, etc. (see information-builders-adapters). Additionally, the launch of iWay Hadoop Manager, a solution created for the management and integration of data based on Hadoop (see iway-hadoop-data-manager), has recently been announced. Cubes OLAP • Connection to cubes OLAP Among the available connectors, Information Builders has possibility of connection to cubes OLAP eat: Microsoft OLAP Services or SQL Server Analysis Services. Other Services • In addition to the aforementioned data sources, the possibility of connecting to other environments such as: web pages, social networks, code repositories, CRMs (Salesforce, Microsoft Dynamics, etc.), Google Analytics • Access to ERP data such as: SAP, SAP BW, Siebel or PeopleSoft. In addition, it also allows the management of XML Web services as data sources. It also allows connection to CRM, FTP, etc. (see https://www.youtube.com/watch?v=_I9iNSgKMKM Information Builders
  111. 111. Information Builders 111 Key Features - Access & Connection to Data Connect to Data Off-line way • Availability to have data in memory for agility in response time • Possibility to consult data without connection Within the Information Builders environment, we have the analytical capability known as Active Technologies, which allows the combination of data and controls within an HTML file, so that valuable information can be delivered in a portable way, without connection or offline. This analytical capability is known as In-Documents Analytics. These analytical capabilities can be achieved either through the Application Studio or the InfoAssist (see active-technologies). With regard to the fact to be able to have of data in memory to speed up time of response, WebFOCUS has Hyperstage, a solution of hybrid storage among disk and memory, that allows to improve the times of response (information-builders-webfocus-hyperstage). WebFOCUS Mobile, gives the possibility also to work with analysis portables so much on-line like off-line (see mobile and WebFOCUS-InfoAssist). Information Builders
  112. 112. Information Builders 112 Key Features - Access & Connection to Data Transformation/Modelación Data Interface of development • The development and modeling will be simple and, will not require the end user of advanced programming knowledge. It will also provide an interface for its development, either via the web or, through a desktop application Either through the Application Studio or the InfoAssist, elements can be dragged / dropped between columns. As in other products, it presents a zone from which you can specify the way in which the tables are related, create calculated fields, change the type of graphic, etc. However, unlike other tools of the competition, the interface is not so attractive (see http://www.pcmag.com/article2/0,2817,2495566,00.asp). Combination of different origins of data • Combination of different data sources. Thanks to the connectors provided by iWay, we have a native access to multiple data sources, which will generate data that we can later combine. Information Builders
  113. 113. Information Builders 113 Key Features - Access & Connection to Data Integration Personalised portal • Possibility of integration in an external portal (Liferay, Sharepoint, etc) WebFOCUS, has of Open Portal Services, that allows the delivery of information and processes inside the companies through an only portal Web. WebFOCUS Open Portal Services, endures the integration with some of the main portals eat: SharePoint, IBM WebSphere and SAP. (See https://www.informationbuilders.com/new/newsletter/10-5/01_rodriguez) Information Builders
  114. 114. Information Builders 114 Visualisations Tendencies/ References • Possibility to visualize or generate trend lines in a simple way, allowing the configuration of these (average, linear, etc.) and, reference lines (markers), with different customization options. Both trend lines and reference lines can be added with both InfoAssist and Application Studio. In the case of reference lines, they can be used in a visualization, through the Series tab of the control panel. In addition, it will be possible to select between different types of reference lines: linear, polynomial, logarithmic, exponential, etc. As for the reference lines, they can be found in the Format tab of the control panel (see trend-reference- lines). Charts • Possibility to give format/configure the charts • Types of advanced charts: bubbles, maps of heat, gantt, waterfall, funnel, etc. Through the products InfoAssist or Application Studio, endows to the user of a wide variety of charts that will be able to use in his visualisations. Among the charts that will be able to use , find : charts of bars, of sectors, histograms, maps, etc. Possibility also, to include charts of third, as for example D3 graphics. Key Features - Explores & Discovers Information Builders
  115. 115. Information Builders 115 Analytical functionality Formulas • Possibility of incorporating new variables from custom calculations / formulas • Existence of predefined functions. Functions for the calculation of% growth, trends, inclusion of financial functions, temporary functions, etc. With InfoAssist or Application Studio we have the possibility to create fields or calculated formulas. In addition, it has a wide collection of functions to manage: characters, dates, numbers, system functions, input / output functions, etc. (see http://datacenter.ucr.edu/focususing.pdf). Forecasting IIt allows making predictions based on predefined algorithms For this purpose, Information Builders has the product WebFOCUS RStat that, leaning on the bookshop R, allows the creation of statistical models. In addition to this product, has other solutions: Marketing Mix Modelling, oriented to activities of prediction on data of marketing, Optimisation of Prices and Planning of Sales and Operations. All of them, allow to simulate different stages, being able to see like this, how react some variables in base to some modifications on the variables that can occur (see http://www.informationbuilders.es/solutions/predictive-analytics). Key Features - Explores & Discovers Information Builders
  116. 116. Information Builders 116 Analytical functionality Statistical tools/dates mining Integration with external tools that allow to add predictive functionalities (R, Weka, Python) As previously mentioned, with the WebFOCUS RStat product, there is a graphical interface that is supported by the R library. Through this tool, you can explore the data, create visualizations, build statistical models, etc. It dates Discovery • Interactivity between the graphics and the rest of the components. As the user selects certain parts of the Dashboard, the graphics will be updated as appropriate The possibility of performing Data Discovery in a simple way has been included in the latest versions of the tool. Specifically, in InfoAssist Plus, there are integrated technologies that will allow the user to analyze and navigate the data (see webfocus-date-discovery). Key Features - Explores & Discovers Information Builders
  117. 117. Information Builders 117 Analytical functionality Integration with Maps • Possibility of showing data in maps in a simple way. • The maps can be integrated through: country, city, postal code, latitude & longitude • Interactivity of the map. Possibility of clicking on the locations shown on the map and that these modify the content of other components within the Dashboard / Panel • Heat maps. Possibility of establishing certain color intensities based on the underlying values. Information Builders and ESRI - one of the leading developers of geographic information systems - have created a solution to analyze geospatial information (see http://www.informationbuilders.com/solutions/ESRI). There is also, through the WebFOCUS add-on for Google Maps, the possibility of mapping geographic information on Google Maps (see http://www.informationbuilders.com/new/newsletter/9-2/04_lotrowski). Both points are included within the InfoAssist and Application Studio products Key Features - Explores & Discovers Information Builders
  118. 118. Information Builders 118 Multiplataforma Mobile platforms • Availability in the different mobile platforms: Android, iOS, Windows Phone The mobile version of the tool, provides the user with sharing / collaboration features with other users The Information Builders BI platform, WebFOCUS offers dashboards, reports, maps and other visualizations on all mobile platforms, including iOS, Android and BlackBerry, without specific coding devices. This is possible, thanks to the WebFOCUS Mobile product. This will provide solutions based on HTML5, adaptable to the different screen sizes of the devices, with possibilities to save, classify or subscribe, etc. (see http://www.informationbuilders.com/products/webfocus/mobile). Key Features - Explores & Discovers Information Builders
  119. 119. Information Builders 119 Social capacities and of collaboration Alerts and notifications Possibility of receiving alerts or notifications. It must be reported, for example, when a pre-configured threshold has been exceeded. It allows the generation of automatic alerts, in real time, based on certain events or, when certain business rules are met. To achieve this, we can, based on WebFOCUS ReportCaster, based on certain alerts or defined notifications, distribute the information related to the event to the appropriate people. Another way to be aware of possible errors or alerts is through the Business Activity Monitoring, which monitors in real time the business activities (see http://www.informationbuilders.com/products/webfocus/real_time and http://www.informationbuilders.com/products/webfocus/operational_dashboard). Key Features - Share & Collaborate Information Builders
  120. 120. Information Builders 120 Social capacities and of collaboration Export • Export charts/dashboard PDF, PNG • Export values to CSV, XLS/XLSX • Share dashboard with other users without need that these have access to the origins of data. The data will be packed/included inside the own Dashboard • The tool allows to export the data sources, so that these can be uploaded later The WebFOCUS platform BI , allows to hand the information in a wide variety of formats: HTML, Excel, PDF or PowerPoint. Planificador Distribution • Delivery of reports/dashboards via mail WebFOCUS ReportCaster, allows to carry out the relevant procedures for the distribution of information. This product allows the programming of this distribution or the format in which it will be sent, including: HTML, Excel, PDF, etc. In addition, this distribution can be done safely, thanks to the possibility of encryption, compression of said information (See http://www.informationbuilders.com/products/webfocus/delivery_manage). Key Features - Share & Collaborate Information Builders
  121. 121. Information Builders 121 Security & Administration Security • Permissions at the level of Report / Dashboard • Data level permissions • Application of Statistical Secrecy (LOPD). Hiding sensitive information • Security integration via JDBC Integration in application servers • Integration with third-party authentication services (CAS, LDAP, AD, etc.) • The information is always shown based on the roles to which the users belong, limiting the information to be displayed when appropriate.ermissions to level of Report/Dashboard Security within the Information Builders environment is given at different levels: application-based security, data-level security, so that users only see what they are authorized to do, and external security, which refers to security systems. external authentication such as LDAP, ADS or Entrust (see http://www.informationbuilders.com/products/webfocus/security). Information Builders WebFOCUS can be fully integrated into application servers, through WebFOCUS Open Portal Services, also providing customization possibilities and supporting the integration also at the security level, so that users within the application server can be authorized to receive information (see http://www.informationbuilders.com/products/webfocus/wf_ibm). Regarding the issue of application of statistical secrecy, it can be achieved through procedures and data restriction rules (see encrypt) and through the WebFOCUS Resource Analyzer module Key Features - Administration Information Builders
  122. 122. Information Builders 122 Security & Administration Roles of user/group • Possibility to setup roles for users/groups As already mentioned in the Security section, one of the levels on which security can be applied is the level of Application Access, where administrators, within WebFOCUS Portal can manage and define accesses based on user groups, departments or roles. Key Features - Administration Information Builders
  123. 123. Information Builders 123 Installation & Implementation Citrix • Possibility of development in virtualized servers (Citrix MetaFrame, XenApp) WebFOCUS Developer Studio can be integrated into virtualized environments. For this they have to be configured with the appropriate hardware and operating system. Volumetry • Working capacity with large data volumes We have already seen in some previous point the possibilities offered by WebFOCUS when working with Big Data technologies. Currently, the huge volumes of data that can be handled today are not a problem, since they can be treated with technologies such as Hadoop or the Hortonworks data platform. Once these data have been processed, they can be viewed through the tools provided by WebFOCUS. (See Information-Builders-Hortonworks-Solution-Brief). It should also be noted, within the WebFOCUS environment, the WebFOCUS Hyperstage tool. It is an integrated data warehouse that dramatically improves the performance of the BI environment. For this, it is based on an internal structuring of the columnar database, making that, for databases that have a large number of columns, of which a few are consulted, with WebFOCUS Hyperstage it is possible to simplify this operation, improving well the response times. The tool in question, supports up to 50TB with a single server and, in addition to improvements in performance, will also reduce the use of the disk in large databases (webfocus-hyperstage). Key Features - Administration Information Builders
  124. 124. Tool review Information Builders 124 Information Builders
  125. 125. Evaluation of the tool Information Builders 125 Section Information Builders Access 36,0 Connect to Data 52,8 Transformation/Modelación Data 38,0 Integration 48,0 Analytical functionality 53,6 Creation Dashboards 26,6 Reports 72,0 Visualisations 56,0 Multiplataforma 36,0 Analysis of stages 27,0 Social capacities and of collaboration 41,5 Important content 27,0 Security & Administration 58,0 Installation & Implementation 46,7 Pricing 24,0 Multilenguaje 36,0 Total 679,2 Information Builders
  126. 126. 126 SAS
  127. 127. SAS Introduction 127 SAS
  128. 128. Introduction SAS SAS Institute is the world's largest private equity software company, leader in Business Analytics. It was founded in the United States 40 years ago and has a presence throughout the world. It has more than 14 thousand employees in the world that offer support services to the 90 companies of the Fortune Top 100 list, who are customers of SAS 128 SAS
  129. 129. Introduction SAS is also a programming language developed by SAS Institute to finals of the years sixty. The language SAS operates mainly on tables of data (reading, transformation, combination, creation of reports). There are procedure modules that expand the capacities of the basic language. SAS/IML: implements an alternative language to Matlab or R. SAS/STAT: procedures to make statistical analyses (regressions, etc.) SAS/ETS: statistical analysis of temporary series SAS/OR: resolution of problems of operative investigation SAS/GRAPH: charts creation 129 SAS
  130. 130. Introduction Within the multiple applications, services and platforms we can distinguish groups of tools that SAS markets as Products SAS Enterprise BI Server  Complete suite with development tools: ETL, SAS code, reporting and analytics SAS Visual Analytics  Suite integrated of web applications that offers an intuitive interaction drag & drop. This set of applications are oriented to the analytical visualisation allow to do reporting and exploration of data. It GOES it uses technology SAS LASR by what executes in memory. SAS Enterprise Miner  Tool that streamlines the process of data mining to create high-precision predictive and descriptive models based on the analysis of large amounts of data across the company. Use cases: detect fraud, stop the loss of customers ... 130 SAS
  131. 131. Introduction PREPARATION OF DATA • Monitors the Analytical Server SAS® LASR™ • Load and joins data • Creation of columns calculated EXPLORER • Ad hoc analysis • Data discovery DESIGNS • Creates pictures of controls to be visualised in the web or in mobiles from the Visual Analytics Designer BI MOBILE • Native application for iOS and Android that offers the interactive reports created in the Visual Analytics Designer SAS Visual Analytics Powerful analytical solution for all types of users: business users with limited technical skills, statistics, data scientists .. 131 SAS
  132. 132. Introduction It DATES PREP ENVIRONMENT ADMIN EXPLORER DESIGNER REPORTS FINDER MOBILE FINDER WEB IT / DATES MANAGER HUB ANALYST It DATES PREP ENVIRONMENT ADMIN EXPLORER DESIGNER HUB REPORTS FINDER MOBILE FINDER WEB USER OF BUSINESSES It DATES PREP ENVIRONMENT ADMIN EXPLORER DESIGNER HUB REPORTS FINDER MOBILE FINDER WEB Visual Analytics: For all the roles: User of Businesses Analyst IT/Dates Manager 132 SAS
  133. 133. Introduction SAS Visual Analytics: Analytical visualization tool in memory, allows reporting and data exploration. Visual Analytics includes state-of-the-art graphics, mobile support and a large number of predefined predictive capabilities. Use SAS LASR technology to run in memory.. SAS BI Dashboard: Web tool that allows users to create dashboards. Easy-to-use interface and has role-based security. SAS Dates Integration Studio: ETL Tool with interface of visual development . SAS Enterprise Guide: Client application to run on Windows environments that allows a guided way to execute SAS programs and publish the results dynamically throughout the entire organization SAS Information Map Studio: Creator of maps of information (areas of metadatos). The maps of information represent a layer that isolates to the final users of the complexities of the databases. 133 SAS Creator of information maps (metadata areas). Information maps represent a layer that isolates end users from the complexities of databases
  134. 134. Introduction SAS OLAP Server : OLAP Server that manages the access to OLAP cubes of SAS. These cubes can query using the standard MDX. SAS OLAP Cube Studio : Graphical tool to create cubes OLAP of SAS. From it can define aggregations. SAS Web Report Studio: Web report designer (for example, you can use an OLAP SAS cube as a source SAS Information Delivery Portal: Web tool to access a wide variety of information (reports, stored processes, information maps, web applications, files ..) SAS Dates Management: Tool oriented to integration processes, quality and data governance. SAS Management Console: Tool to administer all the platform (administration of servers, programming of works, administration of roles and users, repository of metadata) 134 SAS
  135. 135. Introduction SAS Enterprise Miner: Tool with a powerful visual interface to perform data mining tasks. It allows generating advanced models for descriptive and predictive analytical processes. Includes data preparation and exploration features and integration with R.. SAS LASR Analytic Server: Multiuser Analytical platform that stores the data in RAM memory. SAS Dates Loader for Hadoop: Tool to manage Big Data environments. It allows to load data in memory in SAS LASR Analytic Server. It allows to copy data to Hadoop from Oracle, Teradata or a SAS Server and execute SAS and Hadoop SQL programs from a graphical interface. It includes access, cleaning and profiling functions of the data. JMP SAS: Tool for statistical Data Discovery. Visualization tool with extensive statistical capabilities. 135 SAS
  136. 136. SAS Introduction Tools by functionality: Dashboards, Reporting/Queries and Analysis: Information Delivery Portal, Web Report Studio, Enterprise Guide, Visual Analytics. OLAP: OLAP Cube Studio, Web OLAP Viewer Analytical integrated: Enterprise Guide Metadata Management : Information Map Studio Administration and Management: Management Console ETL: Data Integration Studio Minería de Datos: Enterprise Miner Big Data: Data Loader for Hadoop Data Discovery Estadístico: JMP 136 SAS
  137. 137. SAS Architecture 137 SAS
  138. 138. Architecture of Visual Analytics Under Level  Server SAS LASR : Storage in Memory Half Level  Servers: Metadata ,Workspaces and Visual Analytics Mid-Tier High Level Clients: Desktop, Web and Mobile 138 SAS
  139. 139. Architecture SAS Enterprise BI Data Sources: RDBMS, Cubes and set of data SAS, ERP…. Low Level  Application Server : OLAP, Metadatos, Processes Stored... Half Level  Web Server: Information Delivery Portal, BI Dashboard, Web Report Studio… High Level  Desktop Clients: Enterprise Guide, GAVE Studio, Information Map Studio… 139 SAS
  140. 140. Architecture SAS Enterprise BI SAS Under Level Server of Applications: OLAP Server Spaces of work Management Server Processes Management Server of Connection to SAS Server 140 SAS
  141. 141. Architecture SAS Enterprise BI SAS Half Level  Server Web: SAS Web Report Studio SAS Information Delivery Portal SAS Web OLAP Viewer for Java SAS BI Dashboard SAS Web Infrastructure Platform (Login, Preferences, Objects shared, processes stored…) 141 SAS
  142. 142. Architecture SAS Enterprise BI SAS High Level  Clients of Desk: SAS Enterprise Guide SAS Enterprise Miner SAS Dates Integration Studio SAS Information Map Studio SAS OLAP Cube Studio SAS Management Console SAS Add-in For Office 142 SAS
  143. 143. SAS Technical Review 143 SAS
  144. 144. Technical Review SAS Management Console (Documentation): It is the unique and centralized control place from where resources are managed within SAS: • Definition of servers and bookshops. • Definition of users, groups and roles • Control of access to the different resources • Metadata Repositories • Job Programming 144 SAS
  145. 145. Technical Review SAS Register external connections in SAS Tutorial 1. Configure the Compound Server so that it communicate with the source 2. Define a source ODBC 3. Register the server of BBDD 4. Register the bookshop of BBDD 145 SAS
  146. 146. Technical Review SAS LASR Analytic Server: Analytical platform in RAM memory used in SAS Visual Analytics with the following characteristic System of Massive Parallel Process (MPP) and mullti thread Possibility of deployment distributed with Teradata DW or Greenplum Reading data from HDFS 146 SAS
  147. 147. Technical Review SAS Visual Analytics Hub for users Administrators. From the SAS Visual Analytics Administrator we can manage which elements will be loaded into memory. There is also a tab to check mobile connections. 147 SAS
  148. 148. Technical Review SAS Dates Integration Studio ETL desktop tool in which develops data integration processes visually. In its latest version, a component that allows loading tables in SAS LASR Analytic Server has been added. 148 SAS
  149. 149. Technical Review SAS Enterprise Guide: Desktop tool that allows analysts and statisticians from a graphical interface and without the need of programming knowledge in SAS the following capacities: Access to data from multiple platforms, operating systems and databases Create and share stored processes Share reports and datasets Perform correlation analysis and build predictive models Viewing SAS OLAP Cubes 149 SAS
  150. 150. Technical Review SAS OLAP Cube Studio Desktop tool designed to create SAS OLAP cubes. From this editor we can create aggregations, update cubes and add new members calculated in cubes that will be exploited by other SAS applications (Enterprise Guide, Web OLAP Viewer ...). 150 SAS
  151. 151. SAS User Features 151 SAS
  152. 152. User Features SAS Visual Analytics Hub: Point of entry to SAS GOES from which can: Prepare the data Create Reports Explore the data Open a report saved Open a query saved Open an exploration saved 152 SAS
  153. 153. User Features SAS Visual Analytics Hub: Prepare the data using the Visual Dates Builder 153 SAS
  154. 154. User Features SAS Visual Analytics Explorer: Exploration of simple data: • The variables are interpreted as categories or metric. • To create a visualisation drag a variable to the central area and select the type of chart 154 SAS
  155. 155. User Features Analysis of Stages (video) with SAS Visual Analytics Procedure • Deploys the tab of Analysis of Stages. • For each measure selects the values of future data and updates to see the new results 155 SAS
  156. 156. SAS User Feature Visual Analytics example of Dashboard 156 SAS
  157. 157. User Feature SAS Web Report Studio: Web tool oriented to business users that allows end users:: Visualise, create and share reports Include views of cubes of SAS OLAP 157 SAS
  158. 158. Connects with SAS SAS Support for clients SAS Community Facebook Twitter Linkedin Google+ Blogs RSS SAS User Features 158 SAS
  159. 159. SAS Key Features 159 SAS
  160. 160. SAS 160 Key Features - Access & Connection to Data Connect to Data Archive • Possibility to configure it as data files source. For example: Excel, CSV, XML, Text. SAS Enterprise Guide: It allows to read all type of text files . It also allows to integrate Excel files . SAS Dates Integration Studio: This ETL tool allows us to work with all type of files of text (.txt, .csv, .xml) And Excel. Databases • Connections to databases. For example: Oracle, SQL Server, MySQL, PostgreSQL, Teradata, IBM DB2, etc. SAS Enterprise Guide: Using the bookshop SAS/ACCESS Interface to ODBC will be able to connect to all the databases that use this standard. Specific documentation of the bookshop SAS/Access for Oracle. SAS Dates Integration Studio: In addition to the ODBC connection standard there are pre-configured libraries to connect to DB2, Sybase, Teradata, Oracle. These connections will be registered in the SAS metadata server by the administrator that will make them accessible to the rest of the suite's tools. SAS
  161. 161. SAS 161 Key Features - Access & Connection to Data Connect to Data Files SAS • Reading of files SAS7BDAT of SAS SAS7BDAT means “SAS system dates set” . This extension is the standard format of SAS and all the applications allow to export and import in this format. Cloud / Big Dates • Possibility to connect with Big Data environments or Cloud, such as Hadoop, Spark, Microsoft Azure, etc. SAS Dates Loader for Hadoop: Copies data to Hadoop from Oracle, Teradata or a Server SAS. It executes SAS programs and Hadoop SQL programs from a graphic interface. Functionalities of access, cleansing and profiling of the data. It provides secure access to HortonWorks / Cloudera and can integrate with LDAP or Actuate Directory for the authentication of users.. There are also other ways to connect to Hadoop from SAS for example by means of SAS/ACCESS to Hadoop that allows to extract data of Hadoop via libname or proc sql connecting with HiveQL. SAS
  162. 162. SAS 162 Key Features - Access & Connection to Data Connect to Data Cubes OLAP • Connection to OLAP cubes It is evident that there is connectivity from the visualization tools to the SAS own cubes. Also through the use of SAS / ACCESS to OLE DB libraries we can connect to cubes Microsoft SQL Server Analysis Services. Other Services • In addition to the aforementioned data sources, the possibility of connecting to other environments such as: web pages, social networks, code repositories, CRMs (Salesforce, Microsoft Dynamics, etc.), Google Analytics Using the ODBC standard, we can register a connection to Salesforce within the SAS application and data servers and then use it from SAS Data Integration Studio. SAS Visual Analytics has a functionality to connect Google Analytics directly. Off-line way • Availability to have data in memory for agility in time of response • Possibility to consult data without connection SAS Visual Analytics it includes the possibility in its mobile version to visualize the offline control panels using a network anchoring or tethering. SAS LASR Analytic Server is the multiuser analytic platform that stores the data in RAM that Visual Analytics uses below. SAS
  163. 163. SAS 163 Key Features - Access & Connection to Data Transformation/Modelación Data Interface of development • The development and modeling will be simple and, will not require the end user of advanced programming knowledge. In addition, an interface for its development will be provided, either via the web or through a desktop application. . SAS Visual Analytics: End-user web tool in which technical knowledge is not required. Advanced analytics have been seamlessly integrated, including decision trees, network diagrams, on-the-fly projection and scenario analysis with easy-to-use features such as automatic diagram creation and drag-and-drop capabilities. SAS BI Dashboard: Web tool for end users that allows to create dashboards including all kinds of existing elements in SAS: graphics, OLAP views, tables, trend lines. Combination of different origins of data • Possibility to combine several data sources SAS Dates Integration Studio:ETL tool that allows to graphically combine and combine information flows from a wide spectrum of sources (files, database records ...). SAS Enterprise Guide:Lightweight integration tool with the ability to combine data sources from different sources but with more limited capabilities than DI Studio. SAS
  164. 164. SAS 164 Key Features - Access & Connection to Data Integration Personalised portal • Possibility of integration in an external portal (Liferay, Sharepoint, etc) Document of integration of elements of SAS BI Dashboard with Sharepoint. SAS
  165. 165. SAS 165 Visualisations Charts • Possibility to format/configure the charts • Types of advanced charts: bubbles, maps of heat, Gantt, waterfall, funnel, etc. SAS Visual Analytics includes a wide range of available graphics: Bars, lines, tart, Waterfall, Treemap, funnel, bubbles, dispersion, crossed table, speedometers ... All the components have a section from which we will configure their format and properties Tendencies/ Reference Possibility to visualize or generate trend lines in a simple way, allowing the configuration of these (average, linear, etc.) and, reference lines (markers), with different customization options SAS Visual Analytics: allows you to add trend lines by configuring the time axis and the measure that the line to be displayed will represent. It also allows to create lines of adjustment (Fit Lines) the data of the following types: • Linear • Quadratic • Cubic • B-Spline With penalty To level of code can also generate lines of tendency using SAS GRAPH. Key Features – Explores & Discovers SAS
  166. 166. SAS 166 Analytical functionality Formulas • Possibility of incorporation of new variables from calculations/customized formulas • Existence of predefined functions. Functions for the calculation of% growth, trends, inclusion of financial functions, temporary functions, etc. SAS Visual Analytics includes an expression editor that offers us the opportunity to create new members based on operations on the source columns. In this editor there are operators: numeric, boolean, comparison and temporary (date / time). From the editor of aggregated metrics we will be able to create new indicators using the common aggregation functions (Average, Maximum, Count, Count Different, Minimum ...). We can also work with annual accumulation calculations and Period-To-Date calculations. At the platform level SAS provides the FINANCE function available for use from the different tools of the suite that performs financial calculations such as depreciation, interest, savings and rates of return. Forecasting • It allows to make predictions in base to algorithms predefinidos In SAS Visual Analytics: Exists the possibility to make a chart by means of the right click the functionality to show the prediction. It is possible to configure the metric that wants that they take part in the generation of our predictions. There is also the possibility of carrying out simple decision trees. Key Features – Explores & Discovers SAS
  167. 167. SAS 167 Analytical functionality Statistical tools/dates mining • Integration with external tools that allow to add predectives functionalities (R, Weka, Python) There are several ways to run Python and R programs within SAS code: SAS IML (Interactive Matrix Language) Studio allows you to integrate R code through a PROC IML procedure. Another valid option for R and Python would be to install a Java class (SASJavaExec.jar) and use this java object in a SAS DATA step, see tutorial. In SAS Enterprise Miner we could also execute Python code within a SAS program. It dates Discovery • Interactiveness among the charts and the rest of components. To measure that the user selects some parts of the dashboard, the charts will go updating as it correspond. There is a solution called SAS Visual Data Discovery that provides high technical knowledge and advanced visualization capabilities using different platform tools, among which we can highlight JMP to visualize graphics. . Key Features – Explores & Discovers SAS
  168. 168. SAS 168 Multiplataforma Mobile platforms • Availability in the different mobile platforms: Android, iOS, Windows Phone • The mobile version of the tool, provides the user with sharing / collaboration features with other users SAS Mobile BI is the application that from the different mobile platforms (itunes, Google Play) will allow us to access the business reports and dashboards of SAS Visual Analytics from Apple® iOS and Android devices. Within the application there is a table of contents view from which the different elements of the miniature control panel are displayed. You can include comments at the report level or at the element level (charts, tables) from a section where comments and alerts are available. The feature of adding comments is very useful to collaborate with other team members. Within a comment we can attach elements (for example images). Key Features – Explores & Discovers SAS

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