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SberAnalytics

Product
Developers: Sberbank, TOT (Industry Transformation Technologies)
Date of the premiere of the system: October 2020
Last Release Date: 2023/11/24
Branches: State and social structures,  Trade
Technology: Big Data,  Data Mining,  SaaS

Content

The main articles are:

2023

Development of revenue forecasting module

SberAnalytics has developed a software module that predicts revenue for companies in different business sectors with an accuracy of 90%. The innovative solution is available in the Geoanalytics online panel. Anatoly Popov, Deputy Chairman of the Management Board of Sberbank, spoke about this on November 24, 2023.

The solution Sberbank helps entrepreneurs choose the most promising locations for opening a business with high traffic and low competition. Advanced - MLalgorithms allows you to take into account many factors that affect the effectiveness of the trade point: related infrastructure, financial customer profile and other nuances. The result is a forecast of turnover and expected revenue. The accuracy of the sales forecast model is 90%, and in 80% of the selected locations the customer achieves the expected result.

Шаблон:Quote 'author = said Anatoly Popov, Deputy Chairman of the Management Board of Sberbank.

Geoanalytica is an online SberAnalytics panel for analyzing the trading environment and consumer activity of the population based on impersonal data on population spending. The service allows the business to assess the competitive environment, explore the audience and consumer demand, find points of attraction and avoid opening unprofitable stores. Geoanalytica provides online access to analytics over the past year and detail up to 60 meters. The data is updated monthly.

SberAnalytics solutions are based on aggregated impersonal information about the needs and preferences of 108.2 million buyers and 6 million legal entities. Data from more than 70 internal and external sources are used, which allows you to analyze various markets in detail, taking into account their industry and regional specifics. High accuracy with wide coverage is ensured by the use of proprietary information processing algorithms (Nos. 2766156, 2766548, 2767465, 2770568, 2771000, 2022667422) and machine learning models.

Launch of "BI Platform"

On March 1, 2023, Sberbank announced that SberAnalytics was launching the BI Platform (business intelligence) to systematize, visualize and analyze company indicators. This tool combines enterprise data, speeds up its processing, improves the quality of analytics and allows you to create dashboards (interactive graphics panels). At the beginning of March 2023, there are 60 types of visualizations for different types of problems, and their list is constantly growing.

The platform will be especially useful to medium and large companies that work in trade, construction and industry. The tool is useful for business owners, commercial directors, sales employees, client managers and business development managers.

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Our own solution allows you to see the dynamics of the company's key indicators in one click, and this helps to increase business efficiency and reduce its costs. We want to give the business a convenient and affordable BI tool by removing dependence on foreign manufacturers. The software for our platform is completely domestic, and the visualization is made in Russian. We continue to improve the platform to give businesses even more opportunities,
said Stanislav Kartashov, Vice President, Director of the Corporate Clients 360 Division of Sberbank.
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The BI platform is a universal boxed solution, but a customer-specific version is also possible. The platform can be deployed at the client's capacity (on-premium) or in the SberAnalytics (SaaS) cloud. It is important that the solution supports all major data sources: PostgreSQL, Greenplum, ClickHouse, Oracle, Teradata, MySQL, Druid, MongoDB and others.

It is enough for the user to connect their data sources, after which it will be possible to build their own analytical dashboards. SberAnalytics provides technical support to customers, but does not have access to their data.

2022: Launch of the service "SberImpulse. Selection of B2B clients "

SberAnalytics on November 14, 2022 launched a service to maximize business sales - SberImpulse. Selection of B2B customers. It helps large and medium-sized companies find new customers and suppliers faster and close deals.

The service effectively solves the problem of selecting legal entities using technologies artificial intelligence that analyze the activities of 6 million legal entities identify and 11 million aggregated B2B operations monthly. The service catalog consists of more than 200 types of business and 4,000 types of products. In addition to their own knowledge base, they are also used data state procurements from information open sources.

The service is of the greatest value for enterprises operating in the fields of industry, wholesale trade and e-commerce, construction, production and sale of building materials, mining and processing of minerals. The product is useful for business owners, commercial directors, sales employees, client managers and business development managers.

One of the first SberImpulse. The selection of B2B customers was connected by Severstal, which the service helped to abandon the services of an external contact center and increase conversion by 5 times to 4%.

{{quote 'author = said Stanislav Kartashov, Vice President, Director of Corporate Clients 360 of Sberbank. | SberAnalytics allows businesses to find new buyers and suppliers in the current markets of presence, assess the prospects for expanding the geography of sales and entering new product niches, as well as reduce dependence on intermediaries and reach the end buyers of their products in the B2B segment. As a result, our customers refuse the services of external contact centers and save money, while increasing sales conversion several times. SberImpulse. Selection of B2B customers is an excellent tool for increasing turnover and business development,}}

SberAnalytics does not disclose personal data of individuals and legal entities or any other personal and commercial information. The service analyzes an array of impersonal data from its own and open sources. At the exit, the client also receives a rating of each potential counterparty, taking into account the predicted volume, frequency of consumption/delivery of products, which characterizes the degree of its attractiveness. The search can be defined by keywords, sales/purchase analysis period, their amount and frequency, regions, business type and revenue. You can exclude well-known companies and those with which the enterprise is already working from the search.

SberImpulse. The selection of B2B customers is delivered both in the finished solution and in the sales order version, depending on the needs and capabilities of the customer.

2020: Launch of the cloud analytical platform "SberAnalytica"

On October 13, 2020, Sberbank announced the launch of the SberAnalytica cloud analytical platform for entrepreneurs and authorities. This is a digital service that allows you to receive analytical and statistical reports that are built on impersonal and aggregated data.

The service uses such data as the cash flows of its customers, acquiring Sberbank, which serves 70% of retail outlets in Russia, aggregated data from Sberbank cards and ATMs, data from open sources and partners.

Sberbank says that the platform aims to help businesses and regions find growth zones and simplify strategic and tactical management at any level: country, region, city, district, shopping center and even a specific outlet.

The platform includes industry solutions and services, recommendation models, information and analytical reports and monitoring in different industries. Sberbank explained to TAdviser that the provision of services is possible in two options: an individual study (ad-hoc) for the needs of the customer, as well as the provision of data through a personal account on the platform within the framework of a standard product line.

Home page of the new service, screenshot

Analytics on the platform are created on the basis of big data from internal and external sources of the bank and partners using advanced technologies of machine learning, data processing and visualization.

For example, one of the services for government agencies is population analysis, which involves creating a profile of residents of the territory based on transactional behavior, analyzing the population and individual social groups in terms of socio-demographic, financial and behavioral characteristics. The results can be used, for example, to identify the preferences of residents of the region to improve the quality of life of the population, develop infrastructure, and make management decisions using Big Data technologies.

And among the services for companies - analytics for assessing the potential for business growth and development, purchasing activity and reducing commercial risks, assessing commercial potential and financial flows of different geolocation.

Vice President of Sberbank Stanislav Kartashov says that in about two years the bank wants to occupy 10% of the market.

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We want to cover all key industries that need B2B, B2C analytics - how consumers spend money and what the business spends money on, "Kartashov explained.
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I must say that the business of selling analytics, for example, on the basis of impersonal transaction data in Russia, has been developing fiscal data operators from online cash desks for several years. Thus, the company "Platform OFD," in which the share of about 40% belongs to Sberbank through the legal entity "Digital Technologies," has been doing this since 2017. Earlier, the OFD Platform reported that in August 2019, its revenue from analytical services based on Big Data technologies amounted to about 10% of the company's total turnover.

Similar services are offered by and, "First OFD" owned by. VTB They are focused on FMCG manufacturers. Analytical services are available to customers for managing price and promotions, assortment, assessing the effectiveness of marketing initiatives and regular reporting, monitoring by store groups and zones by GPS coordinates.