They do offer mobile access, but the dashboards are not directly accessible unless you download their app and customize them within the mobile view. SAS Business Intelligence is a BI tool offering numerous products and technologies for data scientists, text analysts, data engineers, forecasting analysts, econometricians, and optimization modelers, among others. Founded in the 70s, SAS Business Intelligence enjoys a long tradition in the market, building and expanding its products every year.
With a Capterra rating of 4. Text analytics capabilities: Interesting features are text analytics that enables you to gain insights from text data such as social media and location analytics that combines data in a geographical context. Reports and dashboards across devices: Dynamic visuals are organized into interactive reports and dashboards, similar to other tools in our lists, and you can access them also on mobile and tablet devices both Android and iOS. Considering the complexity of the product and its offers, the higher price range and limited customization options can be huge factors in deciding if this business intelligence tool would be the right choice, as most users indicate on Capterra and G2crowd.
Infor Birst is a cloud-based analytics and business intelligence platform that helps users to understand and optimize complex processes. Infor, a global company with an extensive portfolio of software products for specific industries, acquired Birst in Today, Infor Birst is an advanced end-to-end solution with a data warehouse, visualization and reporting platform, and a networked BI approach based on extensive automation and learning technologies.
Customers of the BI vendor rated the software with a solid 4. Modern data architecture: Birst's native cloud BI platform is based on Infor's modern data architecture.
The advantages of this are high flexibility, data security as well as scalability to adapt to changing business conditions. Adaptive interface: Cross-device access to the platform that meets the needs of modern work styles, enabling a positive user experience with the same interface, whether online or offline. Embedded BI: Infor Birst's cloud solution gives you the option to integrate it with your own application. This allows you to monetize data in a familiar software environment without having to develop an analytics product yourself.
Industry analytics: Different role and industry-specific data models, as well as analysis options, are offered. With their help, specific trends but also weak signals can be identified in order to react to them at an early stage and increase profitability.
Some customer reviews describe the user interface as confusing in parts. In addition, data integration is more complicated than described, as the business intelligence tool does not create a data model based on the linked data sources in a completely automated way.
SAP BusinessObjects is a business intelligence platform designed for comprehensive reporting, analysis, and data visualization. They provide Office integrations with Excel and PowerPoint where you can create live presentations and hybrid analytics that connects to their on-premises and cloud SAP systems. To be accurate, more than M users leverage SAP across the world, making it one of the largest software suppliers in the world. On Capterra, the company obtained a review of 4. A BI enterprise reporting system: Reporting and analysis are done with ad hoc queries and a complex BI enterprise reporting system designed to guide your overall company strategy.
Self-service, role-based dashboards: Analytics applications and data visualization are focused on self-service capabilities, similar to other tools, where you can build your own role-based dashboards and applications to assess risks, for example. Cross-enterprise sharing: You can create a cross-enterprise sharing functionality that will enable you to communicate your findings with other stakeholders and partners.
Integration with Office: By using Microsoft Excel with SAP, you can analyze larger volumes of data, and embed analytics in PowerPoint, making this solution easily integrated with Office.
Some reviews report that extensive analysis functions are rarely usable without additional user training. In addition, the costs for the individual modules are relatively high and there are comparatively few feature updates. Domo is a business intelligence software comprised of multiple systems that are featured in this platform, starting with connecting the data and finishing with extending data with pre-built and custom apps from the Domo Appstore. You can use Domo also for your data lakes, warehouses, and ETL tools, alongside R or Python scripts to prepare data for predictive modeling.
Similar to other tools, you can connect the data across your enterprise, utilize their machine learning and artificial intelligence capabilities while enabling users to explore the data on their own. With a firm 4. Automatically suggested visualizations: Data visualization enables you to go from raw data to charts, graphs, maps, and other visualizations which are suggested automatically by Domo after you upload your data source. You can refine the data, annotate for further commentary or discussions, or refine and control who has access to it.
Roboto as an AI engine: Predictive analysis is powered with Mr. Domo Appstore: Their open cloud platform is an ecosystem of pre-built apps, connector APIs and dashboards, giving you also the possibility to build your own and share it on the Domo Appstore. Domo is not built for newcomers as the learning curve can be steep, but they do offer training, therefore, be prepared to learn.
Oracle Business Intelligence is a portfolio of technology and applications with a focus on providing end-to-end solutions to help businesses optimize their performance and empower them to make faster and more informed mobile-enabled decision-making. Oracle has 4.
Ad hoc capabilities Oracle BI answers: This feature provides users with true ad hoc capabilities in an intuitive way. With no room for complex processes and preventing runaway queries, users can easily generate charts and visualize their data fast and efficiently. Like this, users are working with live reports, charts, graphics, pivot tables in pure web architecture.
Personalized alarms: Oracle BI delivers a personalized alarming system that provides businesses with activity monitoring and can reach users via dashboards, emails, or even mobile devices. Alerts can initiate and pass contextual information to other alerts or users for a collaborative workflow.
Oracle BI Publisher: This feature offers the capacity to generate scalable reporting to deliver complex information to stakeholders securely and in the correct format. Real-time decision server: Combining rules with predictive analytics, this feature enables real-time intelligence to be implemented in any business process. The tool provides recommendations and reveals insights in real-time.
According to Capterra and G2Crowd reviewers, the Oracle BI runs slow on some occasions, especially when generating reports. For some functions, such as adding information to data models, complicated and time-consuming processes are reported. Use the Administration Tool to generate a metadata dictionary for your repository. Because the dictionary isn't updated as repository changes are made, you must generate the dictionary periodically to update the content.
When you generate the dictionary, you can set the output to the final location on the Web server, or to a temporary location. If you generate the dictionary in a temporary location, you must then copy the files to the location on the Web server. Some large repositories can contain tens of thousands of objects. Generating a dictionary for a large repository can take a significant period of time.
You can't store the dictionary in a directory with multi-byte characters. If you receive a system error about creating the necessary directories for the dictionary, then you must choose another directory. Select a local or network location.
When the dictionary is generated, a subdirectory with the same name as the repository is created in that location. The dictionary directories and files are created in that subdirectory. If you want to use an IIS virtual directory, you can create or select a virtual directory in IIS before you generate the dictionary. When you generate the dictionary, choose the physical directory associated with the IIS virtual directory.
The location where users can view the metadata dictionary files is dependent on the host name and port number of your Web server, along with the directory location where you store the files. After you generate a metadata dictionary, style sheets and index files are created for that dictionary. The related style sheets XSL files are created and stored in a directory named xsl within the repository directory. The index files are associated with each other so that you can quickly switch views.
When creating analyses, content designers might need more information about subject areas, folders, columns, or levels such as relationships to other metadata objects to guide them. You can provide content designers with this information by allowing them access to the metadata dictionary for the repository.
The metadata dictionary describes the metrics that are contained within the repository and the attributes of repository objects. The metadata dictionary output is a static set of XML documents.
Ensure that the metadata dictionary has been generated and the files have been stored in an appropriate location. See Generate a Metadata Dictionary. The prefix for the name of the directory in which you've stored the XML files. The directory must have been specified as a shared directory for the web server, and the web server must be the same one that's used by Oracle Analytics Server.
For example, suppose that you stored the XML files for the metadata dictionary in a directory called demo1 under the metadictionary directory. Suppose that the metadictionary directory is specified as a shared directory for the web server, which is also used by Oracle Analytics Server.
Use a value such as this when the files for the metadata dictionary are stored in the directory structure for a web server that isn't being used by Oracle Analytics Server.
For example:. The following shows an example setting in the instanceconfig. Large repositories use more memory on the server and are harder to maintain. Additionally, development activities take longer on a large repository. You can remove databases, initialization blocks, physical catalogs, and variables. Below the list of objects, the number of selected objects and the total number of objects appears.
You can use the Aggregate Persistence Wizard to create the SQL file used to create aggregate tables and map them into the metadata. You can designate child presentation tables using the Child Presentation Tables tab in the Presentation Table dialog to give the appearance of nested folders in Answers and BI Composer. If you used these methods, Oracle recommends that you run the Convert Presentation Folders utility to convert your metadata to the new structure.
The hyphens and arrows disappear from presentation table names and descriptions, and the affected tables are listed as child tables for the appropriate parent object. You can use the Generate Logical Column Type Document utility to generate a complete list of logical columns and their corresponding types. It connects insights from various teams and helps in making informed decisions. It allows decentralized users to augment the enterprise data model. It also offers a unified semantic layer to maintain definitions and key metrics.
The Netlink Analytics Platform is a leading edge advanced analytics and cloud-based platform. It can be used as Software-as-a-Service or Platform-as-a-Service. It is available with Private or Public Cloud options. It offers best-in-class data visualizations to provide a single point of enterprise truth. ClicData is a business intelligence dashboard solution. It is designed for use primarily by small and midsized businesses. The tool enables end users to create reports and dashboards.
Profitbase is a business intelligence solution that delivers critical business information. It allows companies to monitor and manage their business performance. It is appropriate for many commercial markets, including manufacturing and retail. Exago is a full-featured BI solution. It offers report in any combination to accommodate users of different levels.
It allows to build and format basic tabular reports. Logility is a unique self-service business intelligence tool. This business intelligence platform helps in business planning for supply chain management.
It incorporates and combines automated data transformation processes with assisted manual data manipulation. Rapid Insight is a BI software which allows to builds, predictive models. It offers automated modeling to identify relationships within complex sets of data. Alteryx is a Business intelligence and analytics solutions for enterprise and SMB companies.
It is a desktop-to-cloud Agile BI and analytics solution. Review the data set s for your report to determine what is missing. Note you can select one table or multiple tables here. Note: Use the Oracle published list of tables and joins document to determine which tables you need. If you select multiple tables, you can click and drag the joins from table to table.
Review the list and check off all of the fields you want to inspect.
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