Business Intelligence (BI) & Big Data Services

With a rich and diverse background in providing Business Intelligence (BI) and Big Data services, Softkit can bring any project to life. We empower companies to make informed business decisions. Optimize business processes, drive client engagement, grow revenue, and more.

Optimize your Big Data infrastructure, and make the solution that would 
get a synergetic outcome for your business strategy

Get up-to-date operational 360-degree view or near real-time aggregated reports

Systematize your data into a proficient warehouse with a well-ordered data lineage

Build effective analytics pipelines 
and structured data organization

Awards & Recognition

At Softkit, we are proud that multiple platforms, institutions, and organizations have recognized our achievements. Thus, our bespoke software development agency has received the following awards:

Our partners

Volvo Group Connected Solutions logoDistil.ai logoSold com logoArchy Learning logoCasefair logoOpenChannel logo

Big Data services we provide

Data Science icon

Data Science

  • Algorithm Development
  • Advanced Business Analytics and Reporting
  • Data Migration
  • Data Engineering
  • Data Analysis
Big Data Solutions icon

Big Data Solutions

  • Data Visualization
  • Data Sourcing and Retrieval
  • Data Lake and Warehouse solutions
  • Machine Learning
Business Intelligence icon

Business Intelligence

  • Data Warehouse architecture
  • Ad-hoc Analysis and Reporting
  • ETL – Extract, Transform, and Load
  • Data Quality Management

Industries we work with


As a Big Data and Business Intelligence service provider, we serve clients across many industries, including the following:

Our Approach to Data Management

Extract data from all sources

We begin with extracting all relevant data and aggregating it in one place, such as MongoDB.

Clean and standardize gathered data

For the data to provide accurate insights, we clean it of all errors, inconsistencies, duplications, and redundancies. Then, we standardize data to form coherent datasets.

Handle the ingestion and enrich data

Data ingestion refers to real-time or batch data transfer between locations. Target locations are typically data warehouses like Amazon Redshift. At this point, collected data can be enriched with information from third-party sources, providing a broader context.

Process ingested data

Our team uses custom scripts or third-party solutions to process and analyze the ingested data. Processing can be centralized or distributed.

Data Structure Visualization

The crown jewel of the process is turning faceless datasets into helpful, visually rich, and easy-to-understand reports and dashboards.

Our Approach 
to Data Management

Technology Stack

As an expert BI & Big Data service provider, we are proficient in many technologies. You can find the most popular below, but remember that this is not a complete list.

Case studies

OpenChannel case study image

OpenChannel

  • SaaS
  • Web
  • Canada

Team augmentation for all-in-one whitelabel solution to create, brand, and launch your app store platform

  • -40%

    Decreased customers' time to market

  • +150

    New customers onboarded after a half-year of work

  • Stripe

    acquired OpenChannel

Volvo Group Connected Solutions case study

Volvo Group Connected Solutions

  • Automotive
  • Web
  • Sweden

Software that enables vehicle-to-server communication for 1 million+ cars

  • 100 GB+

    of data is processed each day

  • 4k+

    requests per second are received at peak times

  • 99,99%+

    of uptime