BARC.Alpha BI

The main articles are:

• Business Intelligence Definition
• OLAP system

Alpha BI is the development of BARS Group, designed to create business applications and solve problems in the field of data collection, processing, analysis and visualization, providing prompt access to current indicators necessary for analyzing the current situation and making appropriate management decisions.

2022

Compatibility with the operating system "Red OS "

On August 4, 2022 the Russian developers , "" and BARS Group"" RED SOFT confirmed the compatibility of the Alpha BI business intelligence platform with. operating system RED OS

The independent import solution is designed for use at critical information infrastructure facilities, credit institutions and other organizations that need big data analysis.

Alpha BI is a domestic business analytics platform that helps business and the state develop thanks to the knowledge gained from the data. It has a modern service architecture and a stable release policy, ensuring the digitalization of the full life cycle of data collection and analysis. Included in the Unified Register of Russian Programs for Electronic Computers and Databases of the Ministry of Telecom and Mass Communications of Russia (No. 203).

RED OS is a Russian operating system of the Linux family for servers and workstations, providing a universal environment for using application software. The product is certified by the FSTEC of Russia (No. 4060 of 12.01.2019), which confirms its compliance with information security requirements and allows its use in state information systems. RED OS is registered in the Unified Register of Russian Computer Programs and Databases (No. 3751).

"As part of import substitution, when building modern analytical systems, all components must be import-independent, ranging from hardware and system software to the level of applied business services. The development of technological compatibility with partner solutions of leading domestic operating system developers, such as RED SOFT, contributes to the strengthening of the technological sovereignty of Russia, "

"For a full transition to domestic software, developers must offer customers solutions that will cover their needs in full. The entry of the Alpha BI business analytics platform into the RED OS ecosystem is a positive result of the joint work of Russian vendors and another step towards technological sovereignty. Thank you partners for your cooperation!, "

Option to generate complex reports in the background

On April 14, 2022, BARS Group announced the update of the Alpha BI business analytics platform.

According to the company, the updated version of Alpha BI has optimized the toolkit for routine reports and an option for generating complex reports in the background has appeared. Service optimized. ETL Due to the support of specialized analytical DBMS , the performance of processing requests for was optimized. to data

The transition to open source platform 5 has been implemented .NET. Thanks to this, many ETL processes began to work twice as fast, but at the same time memory consumption decreased. In addition, additional tools for diagnosing the operation of the application have become available.

The update is also dictated by the import substitution trend and helps optimize system performance, big data processing time and analysis. Alpha BI organically fits into the unified technological philosophy of BARS Group along with low-code platforms aimed at creating accounting and process systems (BarsUp.Net and BarsUp.Js) and collecting and consolidating reporting (Codes). "

In addition, in 2022, BARS Group and OST agreed on cooperation in the field of BI. As part of this interaction, the integration of the Alpha BI technology platform and the Analytic Workspace information and analytical system was implemented.

The main functionality of Analytic Workspace is aimed at interactive data exploration without involving developers. By consolidating the efforts of the two solutions, it became possible to connect to and manage different data sources, customize the visual design of the analytical result and integrate it into a third-party application. In addition, Analytic Workspace has an integrated space for providing communications for data specialists, in which both one group of analysts and several can work. Another possibility is the use of a wide range of domestic and open source components that have become standards when working with Big Data.

Support for self-service analytics, analyzing large amounts of data, working with different sources and quickly connecting to them - these functionality meet the latest BI market requirements and are implemented in Alpha BI and Analytic Workspace. noted the Deputy General Director of BARS Group Rustem Ibragimov.

2020

Reduce labor costs and optimize the platform

BARS Group, a subsidiary of the National Center for Informatization, released a series of updates to its Alpha BI business analytics platform on September 3, 2020. It included product releases that emphasized the stability and optimization of the platform, as well as reducing the labor costs of implementation teams when configuring the system. The developers optimized the OLAP server. Thanks to this, the speed and performance indicators for individual scenarios have tripled.

The changes affected work ETL in terms of auto-filling the structure, data the work of table views (optimized auto-matching the width/height of cells in OLAP and setting totals in the form, expanded the set of OLAP formatting conditions and the ability to format text in routine report templates). When working big data with, the ability integration with a large range of sources is supported - thanks to the use of ETL, the Alpha BI platform can work both with third-party systems and (/// databases /// Oracle/, etc.), MS SQL Server PostgreSQL Firebird Informix MonetDB as well as with MySQL Vertica web services and files of various formats.

After the release changes, the synchronization process became more transparent due to the understandable execution of ddl commands when migrating tables. A number of validators have appeared in the system that minimize the risks of erroneous actions by system operators. Additionally, the possibilities of cross-border were expanded.authorizations

We always try to optimize and increase the speed of our platform. Including, in terms of responding to actions that the user performs. For example, plans for the next release include optimizing the operating time of individual ETL units due to constant growth in volumes integrable data and reduction in their update intervals, as well as improving the platform's operation in cluster mode. At the same time, I would also like to emphasize that Alpha BI is a product focused on working with big data, the analysis results of which are used in real conditions by hundreds of simultaneously working users, and in synthetic conditions by the results of load tests - and thousands. On many projects, the norm is to build analytics and reporting on a daily storages data gain of several million records, and this is not the limit, "commented the Deputy CEO. Rustem Ibragimov

Alpha BI 4.4.3: Ability to Connect to Microsoft SQL Server Databases

On April 9, 2020, BARS Group, a subsidiary of the National Center for Informatization, announced the next version of the Alpha BI business analytics platform 4.4.3. It implements the ability to connect to Microsoft SQL Server databases when building business objects with the RDBMS Query storage type. Now they are available as a data source for reports and output forms, and also support the operation of parameters that are filtered in the request.

The early implemented functionality of exporting and importing system objects from one stand to another has been improved - when importing, it became possible to transfer access rules at once in one package with objects. A number of optimizations and small improvements have been made.

We are constantly working on improving our product, as well as its visual display. Implementation of Alpha BI is possible in almost any enterprise and organization, therefore, it is important for us that the platform is convenient for any users of various specifics. For example, for April 2020, the product integrates with our educational system and allows you to track the dynamics and success in learning. Professional analytical support for decision making is our key task, the solution of which is aimed at continuous development of the platform, told Deputy General Director Rustem Ibragimov

Alpha BI 4.4.2 Server Print Routine Reports and Bubble Diagram Widget

BARS Group on February 28, 2020 announced the release of the next version of its own business analytics platform Alpha BI 4.4.2. Two major improvements were implemented - server printing of routine reports and the Bubble Diagram widget.

Thanks to server printing technology, it became possible to print reports with hundreds of thousands of lines. The print type is determined at the stage of creating the report template. This functionality opens up the possibility of generating scheduled reports and their mass distribution to interested users.

The next emphasis of this version is the inclusion of the Bubble Diagram widget in the circulation delivery (previously used as a project extension). This is a kind of dot chart in which data points are replaced by bubbles, and their size serves as an additional measurement of the data. Such charts are often used to present financial data and are suitable for identifying strengths and weaknesses of the object of analysis.

Among other changes, the set of validators was expanded to avoid errors at the stage of designing objects in the system, it became possible to monitor the state of system synchronizations, the state of the cluster and its individual nodes, and small improvements were released in dashboards aimed at improving the convenience of working with them.

Alpha BI 4.4

On January 21, 2020, BARS Group, a subsidiary of the National Center for Informatization, presented an update to the Alpha BI 4.4 business analytics platform. Previously, for working with big data in the Alpha BI platform, support for storage under the HDFS file system was implemented, tools for delivering, processing and extracting metrics from Hadoop were integrated.

The updated version of the platform additionally supports work with Apache Ignite (in-memory data grid), which allows you to effectively solve the problems of analyzing rapidly changing data. This can be information related to exchange rates, weather monitoring, Internet of Things data, etc. If earlier Alpha BI closed work only with warm (analytical data warehouse) and cold (archive) data, now, thanks to the use of in-memory data grid, it is possible to monitor and analyze data coming in real time (or close to real time).

It was updated to the latest version of the client framework in dashboards - this made it possible to avoid a number of errors and support different algorithms for smoothing diagrams and line curves. A common grid for multi-axis graphs in widgets is also implemented to avoid overlapping axes. Updated the visual display of the OLAP client, dashboards and the Alpha BI element report editor, the effect on retin displays is especially clearly visible. In addition, support for functions for multidimensional analysis is implemented, which will be useful for specialists working with mdx.

{{quote 'author = says Deputy General Director Rustem Ibragimov' We consistently continue to optimize the platform due to the constantly increasing volume of data and the number of simultaneously working users on our projects, for example, in the latest release the time for drawing and printing reports has been reduced from four- to twenty-fold depending on the types of sources used, and the time for synchronizing the application diagram has been accelerated, }}

2019

Alpha BI 4.3.3

On November 1, 2019, BARS Group announced that it had released the next version of the Alpha BI proprietary business analytics platform - 4.3.3.

This version of Alpha BI adds the ability to work with the clipboard in the report editor. This allows you to copy the area of the selected cells based on formatting, both within the Alpha BI application and when working with third-party tools. This functionality reduced the effort to recreate the report template header from an Excel file in the Alpha BI report designer.

This flexible version of working with the clipboard also applies to transfers from one page to another, from one browser to another, as well as from one Alpha BI to another. This significantly reduces and saves time on the development of the report itself, comments Deputy General Director of BARS Group Rustem Ibragimov

For the convenience of users, the display of scopes for writing a SQL query in blocks of an ETL process has been changed. In the updated version, this is a full-fledged window with highlighting the query syntax and string numbering.

The release has expanded the list of supported widgets in analytical panels - the Sensor widget has been implemented. The appearance of forms - a tool for analyzing 'flat' data - has also been improved: the contrast and clarity of cells and their contents have been increased, fonts and the color scheme used have been changed, and the column results have been emphasized.

Alpha BI 4.3.1

On September 11, 2019, BARS Group, a subsidiary of the National Center for Informatization, announced the release of an update to the Alpha BI proprietary business analytics software platform. Version 4.3.1 is now available for users, which implements a number of improvements and optimizations.

This version has expanded the functionality for transferring access rules - now users can transfer access rules to elements of the analytical data warehouse (ACH) - multidimensional cubes, including access to individual elements of dimensions (reference book records). Now, when setting up roles and access to AHD on the test circuit, time is significantly saved for their transfer to the Customer's combat circuit.

In addition, this version of the Alpha BI platform has added the ability to create analytical repositories on. DB Oracle This is due to the expansion of the presence of the platform among corporate customers, while the main database of the platform also remains. Postgre SQL This innovation will allow you to create directories and multidimensional cubes on top of a third-party database on Oracle without the need to overload data Alpha BI. Similar functionality on top of third-party data sources - databases on Postgre SQL - has long been actively and successfully used on platform implementation projects.

It is also important that the company has updated the used ExtJS framework, thereby increasing the stability and performance of the front-end part of the platform.

{{quote 'author = says Deputy Director of BARS Group Rustem Ibragimov|Also from other updates - the ability to choose the print orientation in the pages of the report template - A3, optimization of the time of operations when working with large directories, as well as compression of traffic packets through the network used when working with Alpha BI, which makes working with the platform more comfortable with low-bandwidth communication channels, }}

Integration with BARCS products for educational process analytics

BARS Group, a subsidiary of the National Center for Informatization, on September 6, 2019 announced the creation of a software solution for educational process analytics based on the Alpha BI proprietary platform.

Through integration with BARS software products, Education a single student and teacher profile is formed with the ability to see the current results of each participant in the educational process, as well as to analyze academic performance in subjects. The selected indicators reflect the assessment of the educational achievements of each student (theoretical knowledge, practical skills and skills), take into account the real educational capabilities of class students and allow any subject teacher, class teacher to timely compare the results obtained with the predicted ones.

Alpha BI, implemented in the complex solution "BARS. Training," allows you to track the trajectory of the student's development during study and present it in the form of graphs and tables. Interactive dashboards help visualize the information received: by entering the student's profile, you can understand in what months there was an increase in academic performance, how many lessons were missed and for what reason, for which individual subjects he achieves success, and for which - no, - said Alexander Polukhin, Deputy General Director of BARS Group.

Analytical profiles of participants in the educational process are the basis for analyzing the assessment of the quality of education, planning activities, forecasting and correction, the implementation of the educational and educational process. The dynamics of indicators and their control will make it possible to make management decisions to managers in the field of education and school directors on the work of their pedagogical staff, predict and build an individual approach to training, use best practices based on the rating of educational organizations, noted in BARS Group.

Enhanced reporting functionality in Alpha BI 4.3

On August 1, 2019, BARS Group, a subsidiary of the National Center for Informatization, announced the expansion of reporting functionality in the proprietary business analytics software platform Alpha BI 4.3.

Advanced functionality in addition to the existing one will allow you to form printed materials offline in the form of reports, tabular and graphic information. In addition, it is possible to insert images and "pieces" of dashboards into materials, as well as create Excel tables with text and graphs. In this case, parameters can be set for a specific user.

Alpha BI 4.3

On June 13, 2019, BARS Group presented an updated version of the Alpha BI 4.3 proprietary business analytics platform. The main emphasis is on optimizing the application under heavy loads.

According to the company, during the development of this version, two main areas were chosen: the transition to asp.net core as part of the gradual refusal to use Mono when working with Unix-like operating systems. And the second is the ability to cluster the application server.

The transition to a higher performance framework provided a threefold increase in the number of requests executed per second and, accordingly, better performance and stability under high loads. The transition to asp.net core is an intermediate step as part of the plan to completely transfer the Alpha BI platform to.net core.

To implement horizontal scaling, Alpha BI can operate in cluster mode. This allows you to balance the load between several applications, as well as to connect/disconnect additional nodes without stopping the system according to the readings of monitoring tools. Thus, the platform is capable of running on large implementations with a large number of simultaneous users.

In addition, Alpha BI 4.3 implements the ability to export and import security settings. Earlier, Alpha BI version 4.2 implemented the export and import of system objects. Now, by transferring any report or dashboard, you can transfer the roles and access settings associated with it in the package.

2018

Alpha BI 4.2

On May 24, 2019, BARS Group announced that it had expanded the capabilities of the Alpha BI proprietary business analytics software platform. An updated version of Alpha 4.2 is now available to users, and Alpha 4.3 is already being prepared for release.

According to the company, the main emphasis in version 4.2 is placed on the convenient export and import of objects from one instance of Alpha BI to another without the need to re-develop and configure the same objects on different instances of the system.

Thus, the operation of a scheme consisting of several loops (which are separate AlphaBI instances) dev-test-prod is provided, which involves: initial development or refinement of any platform object (report, dashboard, OLAP, ETL process, reference book, etc.) in the dev loop; after the development is complete, transferring the object or set of objects from dev to the test loop in order to test their operability; Then move the tested objects to the ProdLoop for use.

If in previous versions it was necessary to transfer all copies in full, then in Alpha 4.2 all processes are easier and faster: now you can add objects, registries and reports to the production system using special packages. Despite the fact that several dozen people can make changes, all changes are delivered pointwise and in a common set.

Version 4.2 ensures the operation of systems in accordance with proven world practices, while responding to the requests of the import substitution policy.

Changes in the upcoming version of Alpha 4.3 are also associated with the import substitution policy. The main emphasis is on upgrading the technological stack .net from to asp.net core. This is the first step towards a complete transition to.net core, which in the future will allow you to work on Linux more productive and stable.

Support for Big data

On August 17, 2018, BARS Group announced that it had implemented technology stack support for working with Big data in its own Alpha BI 4th generation business analytics platform.

Big data requires not only special approaches to building a complex of hardware, but also a revision of the composition of the necessary software. It should provide the solution of the tasks of fast guaranteed delivery of information to the "data lake," their fault-tolerant storage with the ability to scale horizontally, as well as the minimum time spent on processing raw primary facts and delivering them to the end user in the BI toolkit. To do this, the Alpha BI platform implemented support for storing data under the control of the HDFS file system, developed tools for delivering, processing and extracting metrics from Hadoop.

Customers are increasingly faced with the task of streaming frequently changing data and analyzing it online, so we have additionally implemented support in Alpha BI DBMS in-memory along with traditional relational DBMSs and olap-. servers This allowed the platform to increase performance by thousands of times by using the RAM cache instead of accessing disk drives. 'Rustem Ibragimov, Deputy General Director of BARS Group '

As of August 2018, the Alpha BI business analytics platform implemented the main infrastructure tasks for storing and processing Big Data, the product began to move towards the development of tools for their advanced analysis using Data Mining class methods, machine learning, neural networks based on library developers actively developed by the OpenSource community.

Alpha BI 4.0

BARS Group, a subsidiary of the National Center for Informatization, on June 6, 2018 announced the update of its own developed business analytics software platform and released Alpha BI 4.0. This platform release is capable of processing 1.7 billion data in 0.35 seconds.

The Alpha BI platform provides data collection, storage, processing, analysis and visualization activities, as well as prompt access to the metrics needed to make timely management decisions.

Within the framework of the presented version, one of the basic modules has been upgraded - the analytical data warehouse (ACD), which is the source of ready-made revised information for subsequent analysis. As part of the update, the ACH receives information not only from the Alpha BI database, but also from third-party databases running PostgreSQL (open source relational database management system). Thus, there is no need to load and duplicate data inside the AlphaBI analytical system, which allows you to obtain up-to-date data for real-time analysis.

Also, the modernization is based on a number of basic modules - OLAP views, Dashboards (building interactive diagrams) and a designer of regulated reports. The upgrade increased the stability and speed of starting background processes for data acquisition, transformation and loading.

The reduction in data display time is achieved through the use of modern Canvas technology, which draws incoming data not in the form of hypertext markup, but in the form of a bitmap image.

In addition, the registry and business object storage subsystem received changes. According to the test results, its performance growth ranged from 250% to 6700% of the performance for creating, reading, modifying and deleting stored data.

2017

Modification of the data acquisition model

BARS Group, a subsidiary of the National Center for Informatization of Rostec State Corporation, completed a number of updates to Alpha BI in November 2017, a software platform for creating business applications that also functions as an independent analytical tool.

As part of a large-scale update, modifications were made to the multidimensional data provision tool and the tool for forming analytical panels. Also, a designer of regulated reports appeared in the functionality of the program.

Initially, a data acquisition model was developed that accelerated Alpha BI. 25 times reduced the time to display information, starting from receiving data from the database, processing it, transferring it and rendering it on the client browser.

Then, as part of the OLAP data analysis mechanism, their own analytical data warehouse (Data Warehouse) and an OLAP client were implemented, which used the technology of displaying data on the Canvas client browser, which allows increasing their volume and processing speed by orders of magnitude.

The Dashdoards analytical panel tool was developed next. This mechanism reduced the development time of analytical panels by 3 times, and also increased their information content and functionality due to the following technological components: the Drag-and-drop mechanism, a large number of various widgets and settings for them, a mechanism for configuring data sources using OLAP technologies and a multifunctional mechanism for setting up links between widgets.

The update of the Alpha BI system ended with the introduction of a solution for the formation of regulated reporting. The tool allows you to more than 30 times reduce the labor costs of the customer's specialists to form and submit regulated reporting, told BARS Group.

Mechanism for formation of regulated reporting

BARS Group, a subsidiary of the National Center for Informatization of Rostec State Corporation, on October 25, 2017 announced the development of a mechanism for forming regulated reporting for the Alpha BI technology platform.

According to BARS Group estimates, the implemented mechanism allows more than 30 times to reduce the labor costs of the customer's specialists for the formation and delivery of regulated reporting.

This development is aimed at simplifying the procedure for generating regulated reporting of a strictly defined form by the platform user, which is provided through the use of the following technological components:

• A user-friendly interface (similar to the Excel interface) for forming headers, a "header" of a regulated report and other visualization elements;
• Constructor of the data slice displayed in the specified area of the regulated report;
• Possibility to form calculation cells directly in the generated report;
• The ability to configure a parametric report in which, before generating it, you need to set the value of the specified parameters (for example, the "Year" parameter);
• Possibility of setting conditional formatting in regulated reports;
• Allows you to configure a multi-page report.

Analytical Panel Generation Mechanism

BARS Group, a subsidiary of the National Center for Informatization of Rostec State Corporation, on October 6, 2017 presented a mechanism for forming analytical panels (Dashdoards) for the Alpha BI technology platform.

This development is aimed at optimizing the visual analysis of the key performance indicators of the customer by the user of the platform, which is provided through the use of the following technological components:

• Drag-and-drop mechanisms (for containers, widgets and data sources) when designing an analytical panel by Alpha BI user.
• A large number of various widgets for the necessary data visualization (histograms, line charts, pie charts, pyramids, radars, maps, normalized histograms, etc.).
• A large number of settings for widgets (color settings, color conditions depending on indicator values, location, axis settings, categories, values, etc.).
• A simple mechanism for configuring data sources based on the corresponding constructor using OLAP technologies.
• Multifunctional mechanism for setting up links between widgets due to the event model configured by the Alpha BI user (switching from one widget to another, filtering one widget based on the selected element of another, adjusting the displayed header values, etc.).
• The ability to open the developed analytical panel using an external link, which simplifies embedding in third-party solutions.

According to the estimates of BARS Group, the implemented mechanism for the formation of analytical panels allows you to reduce development time by 3 times, as well as increase their information content and functionality due to the above-described technological components.

OLAP Data Analysis Engine

On September 8, 2017, BARS Group, a subsidiary of the National Center for Informatization of Rostec State Corporation, announced the development of an OLAP data analysis mechanism for the Alpha BI technology platform.

This development is aimed at simplifying the procedure for analyzing data by the platform user using OLAP technologies, as well as improving the performance of this analysis method. During the development process, it implemented its own analytical data warehouse (Data Warehouse) and an OLAP client, which used the technology of displaying data on the Canvas client browser, which allows you to increase their volume and processing speed by orders of magnitude. The peculiarity of this technology is that the client browser displays incoming data not in the form of hypertext markup (in the standard version of operation), but in the form of a bitmap image. This technology is actively used by Google in the product "Google Documents (Excel)."

Thus, the implemented OLAP data analysis mechanism made it possible to achieve the following key indicators:

• Increase the amount of data analyzed using OLAP technologies by 15 times and bring them to several hundred million records;
• 20 times increase the speed of working with data and its volume on the client browser;
• Increase the number of online analysis methods by adding the possibility of alternative display of analyzed data in the form of a set of graphs, diagrams.

Developing a Class Auto-Generation Model for BI Platform Objects

BARS Group announced on August 21 the development of a data acquisition model for the Alpha BI technology platform. The development is aimed at increasing the performance of the system, taking into account the sharply increasing loads associated with an increase in the volume of processed data and an increase in the number of system users. As a result, the time to display data (starting from receiving data from the database, processing it, transferring it and rendering it on the client browser) was reduced by 25 times.

We are constantly working to improve our systems based on feedback from customers. Updating the Alpha BI platform is a natural process for the company aimed at increasing customer loyalty and maintaining a high level of quality, "said Timur Akhmerov, CEO of BARS Group .

The developed model implements class autogeneration for platform objects, which made it possible to get rid of the time spent on building objects every time they are accessed. Also, the systematization of work with data in the database and layers of access to them was carried out, the mechanisms for obtaining data through a typical API for each platform object were simplified.

These changes are a fundamental mechanism of the platform, on the basis of which other modules will be upgraded, such as: OLAP client, Dashboards, designer of regulated reports.

2016

BARS Group has updated the interface of the business intelligence platform

Business intelligence systems that combine and process data from different sources of information are set up to have a convenient, simple and understandable interface for making management decisions based on a comprehensive study and assessment of the information received. In addition, it should be visual and easily customizable.

"The visual display of the Alpha BI platform was outdated, similar to the information systems of previous generations," says Mikhail Dudkin, director of the business center of BI solutions of BARS Group. "To meet the latest trends in design and product status addressing business analysis and data visualization challenges, and considering user feedback, a decision was made to develop a new design

."

Work on updating the Alpha BI interface started in October 2015 and was carried out in two stages: the development of the concept and layouts of each functional module of the system by design and usability specialists and their subsequent coordination with the employees of the business center - direct users of this product.

Alpha BI Business Intelligence Platform successfully tested on Tibero DBMS

The company Axoft tested the work of the analytical platform "" BARS Group Alpha BI on. DBMS Tibero Testing was carried out in order to provide customers with the opportunity to use various DBMS. Tibero 6 fully corresponds to the trend of import substitution, has high rates of asset ownership cost (TCO) and return on investment in a project (ROI), helps to "close" both the market of large enterprises and small and medium-sized businesses.

The tests compared the work of the Alpha BI business intelligence platform on two DBMSs - Oracle and Tibero 6. To do this, at the initial stage, the Tibero 6 DBMS was installed on Alpha BI, then data was migrated from Oracle DBMS to Tibero 6 DBMS using the migration utility.

During testing, the Tibero 6 DBMS showed good results with Alpha BI and high speed when working with large amounts of data. The work of the Alpha BI analytical platform on the Tibero 6 DBMS will thus provide high-performance data processing and optimal use of resources, will avoid dependence on one supplier and the associated high costs.

Alpha BI compatible with Astra Linux

The Alpha BI analytical platform has been tested for compatibility with the Russian special-purpose operating system Astra Linux Special (Common) Edition (NPO RusBITex).

Fattakhov Marat, Technical Director of BARS Group: - Today Astra Linux is used to work with confidential data both in government agencies and in state corporations, enterprises of the military-industrial complex, medical and educational institutions. It is important for us to meet the needs of our customers for today's comprehensive business intelligence solution that is fully compatible with the key functions of Astra Linux.

The Alpha BI platform with Astra Linux OS and the components supplied with it were checked for operability:, DBMS PostgreSQL web server. Apache As part of the Alpha BI platform, functional components such as working with metadata, working with data,,, ETL OLAP dashboards were tested.

Alpha BI is compatible with Debian OS

June 28, 2016 BARS Group reported testing for Alpha and compatibility BI. Debian Linux

Debian has established itself as a robust operating system with extensive capabilities: it is endowed with a system for managing APT packages, resources (repositories) with a large number of packages, has a high level of control over packages and their requirements, which affects the high stability of its operation.

Given the trend towards import substitution and increasing technological independence of the Russian economy from foreign products and manufacturers, BARS Group conducted test tests for the compatibility of its Alpha BI software platform and Debian OS.

During the tests, the Alpha BARS Group BI software platform and its components (working with metadata/data, ETL,, OLAP information panels) with OS Debian Linux version 8.0 were tested. Based on the results of testing, the correctness of biznes­analitiki the Alpha BI platform on was confirmed. operating system Debian Linux

2015

Partnership with Esri CIS

As part of the partnership, BARS Group and Esri CIS plans to supplement their own geo-information system used in many of the company's software products with Esri's knowledge-intensive developments in the field of geo-information analysis and 3D modeling.

The use of Esri GIS analysis capabilities as part of the Alpha BI business analytics platform developed by BARS Group will allow the consumer to conduct comprehensive and comprehensive geospatial analysis of data and processes. These capabilities will be used in products such as BARS. Efective Region, BARS. Efective City and many others.

Alpha BI 2.0 Business Intelligence Platform Updated

On January 31, 2015, BARS Group presented a version of the Alpha BI 2.0 business analytics platform.

Alpha BI 2.0 - update of the business intelligence platform for government and commercial organizations, created in 2014.

The system is used as an independent analytical tool and the basis for developing business application applications. The product helps managers monitor the state of affairs in the company to make balanced management decisions based on reliable data.

With Alpha, business indicators are consolidated from corporate information systems, databases, files and reports, then undergo the procedure of improving the quality of data and are placed in a single storage. Based on the collected indicators, the system builds interactive analytical panels in the form of tables, graphs, diagrams and cartograms, which are updated in real time and are available to managers in the mobile application.

The Alpha BI 2.0 version has received an improved interface that facilitates the perception of information and simplifies work in the system, updated ETL-processor for data collection and processing, improved OLAP-client for multidimensional analysis, analytical panel designer and report designer, integration with data mining solutions.

Integration with the BARC.Web-Codes system helps to establish the collection and analysis of business indicators in a company of any size with an organizational structure of any complexity with minimal costs.