BI Solution

What we do best

Core Services

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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.
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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.
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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.
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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.
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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.
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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

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

Migration process details

Data Integration & Migration

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Analysis
Analyzing legacy-based source systems & source to destination connectivity.
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Framework
Developing an ETL framework based on the requirement.
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Transformation
Writing transformations based on business rules.
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Execution
Scheduling, monitoring and scaling of data load jobs.
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Support
Providing production support for 30-60 days after go-live.
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Documentation
Creating thorough documentation of the migration process.

Data warehouse information

Data Warehousing

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Cloud or On-Prem Hosting
The data warehouse may be hosted on-prem, in an Azure SQL database, Azure Synapse database, or Snowflake.
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Combine Multiple Systems
Combine multiple source systems, just as ERP, CRM, Payroll, HR, etc. to provide a uniform reporting experience.
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One-Version-of-the-Truth
Apply business rules when populating the data warehouse to ensure that metrics mean the same thing, no matter which report is run.
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Multiple ETL Options
We offer ETL solutions in Azure Data Factor, Azure Synapse, T-SQL, SSIS, Informatica, SnapLogics and others.
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Kimball Methodology
We follow the industry-best practice for
data warehousing, which includes facts and dimension tables for easy end-user reporting and adoption.
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Optional Data Lake Hosting
To reduce cost, some clients opt to store raw data and/or facts and dimensions in Azure data lake storage.

A few of the industries we work with

Industry Specialization

Manufacturing & Supply Chain
Financial Services
Health Care
Travel, Transportation & Logistics
Property & Casualty
Airline

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