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Date:

22.11.2021

Category:
Business
Tags:
Branding, Business
Client:
QodeInteractive


A2DATA is a developer of Big Data solutions, implements analytical systems, data warehouses, creates Data Driven ecosystems.

Republic of Kazakhstan

Almaty, Tole bi 69, 34

+7 (700) 577 0969

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Developer of Big Data solutions, implements analytical systems, data warehouses, creates Data Driven ecosystems

Republic of Kazakhstan
A05A1D7, Almaty, Tole bi 69, 35
e-mail: info@a2data.ai

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RPA

 

Business area: Commercial Bank

Project Duration: 4 months

Project Requirements: Report Automation with auto-filling in multiple formats.

Before: Manual reporting. A long process with multiple negotiation stages, final reports were overdue.

Scope of work: Analyzed business processes and data sources, created a new optimized reporting structure that provides data in multiple formats, and allows to create reports by auto-filling, reducing errors and minimizing time

Tech Stack:

  • Various Relation databases
  • Pentaho Data integration
  • Microsoft outlook
  • UiPath

BI

Business area: Commercial Bank

Project Duration: 6 months

Project Requirements: Customer Segmentation model and creating Customer 360 dashboard for business users

Before: Manual data analysis and visualization. A long process with multiple negotiation stages, final reports were overdue.

Scope of work: Creation of a master customer record by aggregating all data about that customer from across the organization. Created data marts using ETL instruments, set up incremental refresh, designed and developed a customizable dashboard for end users

Tech Stack:

  • Tableau
  • Various Relation databases
  • Pentaho Data integration
  • Knime
Data Engineering
Business area: Public Sector

Project Duration: 1 year

Project Requirements: To build an analytical data warehouse by combining more than 50 data sources of different data types and from different data owners for data analytics, reporting, and visualization.

Before: Data files and reports were formed and sent manually. A long process with multiple negotiation stages, final reports were overdue.

Scope of work: Designed and implemented a Data warehouse architecture after completion of a thorough analysis of the subject area, organized data pipeline process, and data marts data-cleaning. Introduced a data-driven design paradigm, and configured data-loading.

Tech stack:

  • Clickhouse
  • Various Relation databases
  • SQL/PLSQL
  • Pentaho Data integration

Full Cycle Development

 

 

Business area: E-Commerce

Project Duration: 1 year

Project Requirements: Saas Dropshipping Platform development with automated fulfillment with AliExpress and full integration with Shopify. The Platform requires renewing a list of products on a constant basis with product sales analytics. Subscription plans and online card payments must be available for Platform users.

Before: Dropshipping community used different instruments/software to sell products online.

Scope of work: Developed a fully operational dropshipping all-in-one Platform, which allows to add stores from Shopify and receive/execute orders automatically in real-time. Added features to add/edit/remove/split products. Developed functions to export products from AliExpress and import products to Shopify store.

Tech stack:

  • Java
  • Angular
  • MongoDB
  • Stripe
IT-consulting
Business area: Logistics

Project Duration: 4 months

Project Requirements: Business Process automation consulting, software architecture design, and recommendation on transport automation.

Before: Manual process, no specialized software for bookkeeping activities, client journal entries, incoming messages, etc. High response time.

Scope of work: Business Process analysis “as is”, employee interviews with several departments. Developed a business plan for Process Automation, and designed IT architecture suitable for the client’s business needs. Work plan development with a detailed description of required technical activities and the best-suited tech stack

Tech Stack:

  • Canvas business model
  • BPMM
IoT

 

 

Business area: Industrial Holding

Project Duration: 6 months

Project Requirements:

Monitor and analyze operating conditions of the pump station using sensor data for cost and downtime reduction.

Before: Standardized procedures according to Maintenance documentation

Scope of work: Developed a fully automated Platform with a real-time condition monitoring system. The Platform collects pump sensor data for further monitoring and analysis of equipment conditions.

Tech Stack:

  • Java
  • Angular
  • MongoDB
  • Siemens sensors
We can help with

 

  • Cost minimization
  • Identification of “bottlenecks” in business processes
  • Improvement of analytical reporting
  • Data analysis and data science models
  • Effective personnel management
  • Improvement the efficiency of warehouses
  • Acceleration of management reporting
  • Selecting the best technology stack
  • Upgrading the architecture of working with data
  • Acceleration of databases used in storage and analytics