Business Intelligence

Core Services What We Do Best

Data Analytics

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so.

Data Visualization

the graphical representation of information & data. By using visual elements like charts, graphs, and maps, data visualization tools provide a way to see & understand trends, outliers, and patterns in data.

Data Integration

Data integration is the process of moving or consolidating data from different sources on a defined cadence. Data integration is often a prerequisite to other processes including analysis, reporting, and forecasting.

Data Migration

The process of moving data from one location to another, one format to another, or one application to another. Generally, this is the result of introducing a new system or location for the data.

Data Warehousing

A central repository of information that can be analyzed to make more informed decisions. Data flows from transactional systems, relational databases, and other sources on a regular cadence.

Consulting Services

Our professionals assist in full lifecycle, including requirement gathering, functional designs, technical designs, quality assurance, development, and sprint planning, and project management.

Data Analytics & Visualization


Define Measures & APIs

Work with business users and stakeholders to define key metrics most important to the organization; both high-level and at the operational level.


Create Robust Data Model and Data Catalog

Create a robust, in-memory data model to be used for dashboarding, as well as traditional and ad-hoc reporting. Ensure all metrics are well-defined and documented.


Visualize using Industry Leading Tools

Create reports and dashboards using Microsoft Power BI, or Salesforce Tableau, both leaders in the Gartner magic quadrant for analytics.


Data Integration & Migration Migration Process Details



Analyzing legacy-based source systems & source to destination connectivity.



Scheduling, monitoring and scaling of data load jobs.



Developing an ETL framework based on the requirement.



Providing production support for 30-60 days after go-live.



Writing transformations based on business rules.



Creating thorough documentation of the migration process.

Data Warehousing Data Warehouse Information

Picture8 1

Cloud or On-Prem Hosting

The data warehouse may be hosted on-prem, in an Azure SQL database, Azure Synapse database, or Snowflake.

Picture8 2

Combine Multiple Systems

Combine multiple source systems, just as ERP, CRM, Payroll, HR, etc. to provide a uniform reporting experience.

Picture8 3


Apply business rules when populating the data warehouse to ensure that metrics mean the same thing, no matter which report is run.

img 10
Picture8 4

Multiple ETL Options

We offer ETL solutions in Azure Data Factor, Azure Synapse, T-SQL, SSIS, Informatica, SnapLogics and others.

Picture8 5

Kimball Methodology

We follow the industry-best practice for data warehousing, which includes facts and dimension tables for easy end-user reporting and adoption.

Picture8 6

Optional Data Lake Hosting

To reduce cost, some clients opt to store raw data and/or facts and dimensions in Azure data lake storage.

Industry Specialization A Few Of The Industries We Work With

img 1 350x250 1

Manufacturing & Supply Chain

img 2 350x250 1

Health Care

img 3 350x250 1

Property & Casualty

img 4 350x250 1

Financial Services

img 5 350x250 1

Travel, Transportation & Logistics

img 6 350x250 1


Technology Stack Some of Our Technology Partners