TechExpert offers comprehensive services for building business intelligence systems that will allow you to effectively analyze and use the data available in your company for both operational and strategic management.

A well-prepared database, extensive data analysis capabilities and convenient administration make it possible to quickly generate reports from large amounts of data, quickly and easily change their appearance without the involvement of IT specialists.

The business intelligence system will solve a number of urgent tasks:

  • Visual and flexible work with data
  • Efficient and comprehensive use of big data
  • Prompt decision-making based on data from disparate systems
  • The ability to quickly respond to changing situations and find the causes of such changes

Using the most advanced analytical reporting technologies allows our specialists to build systems of any complexity for different categories of specialists: from corporate reporting at the level of the entire company to personal analytics at the level of an ordinary employee or department.

Microsoft products used:
  • Microsoft Windows Server
  • Microsoft SQL Server
  • Microsoft SharePoint
  • Microsoft Power BI
  • MS Excel and MS SharePoint components: Power Query, Power Pivot, Power View, Power Map
Cloud service for analytics from TechExpert — sales reports from your 1C

The solution allows you to use cloud computing power for analytics to generate reports on sales results from your 1C database.

Would you like to receive reports on daily, monthly, quarterly or annual sales results?
Do you want to compare it with your plans?

Deep analytics in the context of goods, counterparties, various periods.
And all this in the form of visual graphs and diagrams.

This solution can be scaled up to a full-fledged project for customizing analytical information for a specific enterprise, with integration with almost any data source.

Stages of implementing a business intelligence system

We provide a full range of services for building business intelligence systems: from optimizing business processes and introducing new KPIs to comprehensive data processing, building analytical models and visualizing indicative indicators.

Learn more about the stages of implementing a business intelligence system
Stage Description
Проф Analysis of the current situation in the company in relation to business intelligence needs and development of system requirements. Pre-project survey, including:

  • Interviewing key users of the system
  • Definition of indicative indicators
  • Development of functional and technical requirements
  • Determination of its target characteristics
ИД Identification of key data sources:

  • Determining the indicators that need to be analyzed (received / manufactured products, stock balances, sales, transportation costs, etc.) and their presentation sections (by products, by periods, by regions, by branches, by managers, etc.)
  • Identification and search of data that form indicative indicators and slices, as well as their sources. As sources, data accumulated in ERP systems, external data sources (for example, databases of external sites / research companies), reporting of warehouse management systems, electronic document management, check systems, employee databases, etc. can be used as well as located in almost any form of presentation of the source data (Excel spreadsheets, csv files, etc.)
system_integration Creation of an integration mechanism (ETL). Extract, transform and load data into storage:

  • Formation of the main database based on data obtained from different sources in various forms in different ways (by e-mail, import from other databases, files uploaded to the portal, etc.) automatically or semi-automatically
  • Bringing to uniform data formats from various sources, identifying errors and cleaning data from them, bringing information to the form necessary for the formation of a data model, enrichment with additional measurements
Куб Building a data mart. Building an analytical data model (OLAP cubes):

  • Building an information core (OLAP cube, data model), on the basis of which reports will be built. This step is the main and most important stage in the development of a BI system, since the correctness of the displayed data depends on it. At this stage, previously obtained data is combined in a multidimensional database, relationships are built between them.
  • Selecting a cube segment to build a data model for each type of report
График Visualization. Building reports based on the generated data model (Power View, Power Map, SharePoint):

  • Building the main types of reports and visualization according to the requirements of the Customer: pivot tables, various types of charts, dashboards, linking vector charts and histograms to a map, etc. based on the optimal presentation of information from the point of view of the Customer for making management decisions
  • Hosting on a public resource (SharePoint) for collaboration

Business Intelligence Benefits

Ability to use different tools depending on the task

  • Tools for self-service business intelligence and information visualization
  • Dashboards — for easy creation and sharing
  • Reports of any degree of complexity, access to tables of several million rows with information analysis in RAM

Transparency and integration with various systems

  • Full integration of various data sources and applications, thanks to this – a single picture of the situation in the organization
  • Transparency and integration with corporate systems
  • Track issues and opportunities in real time
  • Opportunity for detailed analytics and immersion in data sources


Deep analysis of business information

  • Deep business metrics platform and decision-making platform
  • More opportunities for visualization and interactive interaction with information
  • The ability to flexibly configure both the indicators themselves and analytical reports
  • Improved API, wide opportunities for development and integration
Business benefits from the solution
  • enterprise-wide analytics
  • the ability to make informed decisions in order to reduce the cost of production, sales, logistics, as well as increase the efficiency of operations
  • increasing of the capitalization of the enterprise and protecting existing investments
  • reduce the number of instinctively made decisions
  • minimize errors in the study of data and the amount of routine work
  • quick and timely responses for business, for a more flexible response to market changes

Depending on the real needs of the customer, our company will select the optimal set of tools and build exactly the online business intelligence system that best suits your business interests.

Project implementation timeline

From 1.5 to 7 months depending on the complexity of the project, the availability of clear requirements, the described data.