Business Intelligence

Reporting of any complexity and purpose

BUSINESS INTELLIGENCE IMPLEMENTATION

We help businesses and organizations obtain reporting of any complexity and purpose quickly and efficiently, in a convenient and flexible format, so that owners and senior managers can see the real state of affairs in the company and make the right decisions.

Why implement BI systems

  • The need for BI tools arises when a company has to improve its efficiency and profitability. BI methods are designed to speed up the flow of data and make information easier to access within the company, simplifying the creation, maintenance and distribution of standard reports.
  • BI methods make it possible to assess data faster, take sound and timely decisions and reach the commercial goals that have been set.

How Prime Source helps its clients

We develop BI reports of any complexity for our clients — management reports, regulatory reports and dashboards. We build data marts and subject areas so that our clients can produce any report they need on their own.
We work with a wide range of tools from the world's leading vendors — IBM, Microsoft, SAP, Qlik and others.

  • 46 46 users trained on BI tools over the year
  • 24 24 reporting developers with more than 3 years of experience
  • 3 Reporting is produced 3 times faster
  • 237 237 management and regulatory reports produced in 2018

Types of reporting Prime Source delivers

  • 1Regulatory reporting

  • 2Management reporting

  • 3Risk reporting

  • 4Tax reporting

  • 5Self-service reporting

  • 6Financial reporting

Who needs BI systems

  • Banks and financial
    institutions
    BI systems help banks and financial institutions build any type of reporting
  • Government bodies and large private organizations BI systems allow the public sector and large businesses to build any type of reporting

Advantages of our BI systems

  • Visualization

    Interactive reports of any complexity: graphs, charts, tables and maps
  • Instant updates

    Reports are refreshed the moment the data changes
  • Multiple sources

    Data is collected from a variety of sources: Excel, Access, SQL Server and others
  • Cross-platform access

    Instant access to data from any device

Our tools for building BI systems

  • 1

    IBM Cognos Convenient tools for visualization and dashboards. Helps to handle analytical tasks and improve the scalability and governance of analytics
  • 2

    SAP Business Object A comprehensive BI solution from SAP that provides prompt data collection and analysis and produces a wide range of reports broken down by the metrics you need
  • 3

    QlikView/Qlik Sense Analytics tools that share a single logic on a single platform. QlikView is the enterprise platform, while Qlik Sense is a tool for personal data exploration
  • 4

    Power BI A business analytics service that delivers the insights you need to make well-grounded decisions quickly
  • 5

    Tableau An interactive analytics system for deep, multi-faceted analysis of large volumes of information in the shortest possible time, requiring neither training for business users nor a costly implementation
  • 6

    Oracle BI An enterprise analytics platform — a suite of tools for business analysis

DATA WAREHOUSE (DWH)

We build enterprise warehouses for big data at banks, large companies and government organizations. This allows our clients to collect, store and make effective use of data for their own needs.

Why implement a DWH

  • A data warehouse becomes necessary when an organization accumulates large volumes of fragmented data and the load on its operational system grows.
  • A DWH supports data mining across huge data sets, the prompt production of complex aggregated reports and the effective analysis of heterogeneous data.
    The warehouse reduces the load on transactional and operational systems, extends the data accounting structure and improves process management.

The Prime Source solution

We collect data into the enterprise warehouse through ETL processes;

we improve the quality of the information and increase its value, which allows different users to rely on the DWH as a single source of trusted information;

the solution visualizes information through business analytics tools in the form of dashboards and reports, either standardized or created by the users themselves.

  • 80 The load on source systems is reduced by 80%
  • 90 Data availability for reporting is increased by 90%
  • 3 Reporting is produced 3 times faster
  • 95 Data quality is improved by 95%

Tools for ensuring data quality

We have developed our own solutions to ensure data quality in the DWH and to detect errors proactively



  • DQ_TECH
    Technical Data Quality

    · A tool for quantitative reconciliation of data loads that works at every integration node.
    · Setting up technical checks is built into the development, enhancement and testing of data loads.
    · Error notifications are sent directly to the people responsible.
    · The solution provides the information needed to identify and correct errors.
    · The data in the warehouse will match the data in the source systems.
  • DQ_STAT
    Statistical Data Quality

    · A tool for detecting statistical anomalies in data loads.
    · Helps to identify the impact of an error on the user instantly.
    · Automatically generates the main test cases for 4 types of checks.
    · Provides a detailed daily report on every anomaly detected, along with recommendations on how to resolve it.
  • DQ_BUSINESS
    Business Data Quality

    A tool for quickly creating test cases that verify business data quality.
    · Allows test cases to be set up so that errors do not occur again.
    · Integrates into the development process to work through the original business rules.

How a data warehouse helps organizations

  • 1Consolidating data

    Collects and structures data from different sources
  • 2Analyzing data

    Helps to process and aggregate the collected data using predefined algorithms
  • 3Building data marts

    Makes it possible to build data marts for processing by external BI tools
  • 4Producing reports

    Helps to produce complex analytical and marketing reports
  • 5Monitoring key metrics

    Allows automatic monitoring of changes in key metrics to be configured
  • 6Reporting of any kind

    Helps you design report forms on your own

Why Kazakhstan's top 10 banks
choose Prime Source solutions

  • Products from foreign
    vendors
  • Expensive implementation
    Implementation costs are driven up by license purchases
  • Third-party software
    Off-the-shelf software and outside developers
  • No real-world cases
    Little experience in the specific industry
  • Slow response
    Because of the time difference with foreign support teams, a request does not always get a quick answer
  • Language barrier
    Most support agents at foreign companies speak English only
  • Prime Source
    product
  • Exclusive terms
    Prime Source is the only Kazakhstani company with IBM Platinum Business Partner status. We offer our clients the most favorable terms available
  • Our own solution
    We have developed our own solution for ensuring data quality in the DWH and in source systems. This is what allows us to offer clients favorable terms
  • Real experience
    Our specialists have extensive experience in building DWH systems
  • Available 24/7
    Our clients receive a response within minutes
  • We reply in the language of your request
    We speak Kazakh, Russian and English

Who uses a DWH

  • Banking sectorLarge corporate clients that need to account for and optimize the services they consume
  • Large and medium-sized telecom operatorsFinancial organizations that need to account for and optimize their costs

The solutions we use
to implement a DWH

  • 1

    Oracle Integration based on Oracle GoldenGate and Oracle Data Integrator
  • 2

    IBM DB/2 Integration based on IBM Infosphere and Informatica
  • 3

    MS SQL Integration based on Attunity and IBM Datastage
  • 4

    PostgreSQL Integration based on Power Exchange and Pentaho



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