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.
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 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.
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.
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.
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 & KPIs
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.
Migration process details
Data Integration & Migration
Analyzing legacy-based source systems & source to destination connectivity.
Developing an ETL framework based on the requirement.
Writing transformations based on business rules.
Scheduling, monitoring and scaling of data load jobs.
Providing production support for 30-60 days after go-live.
Creating thorough documentation of the migration process.
Data warehouse information
Cloud or On-Prem Hosting
The data warehouse may be hosted on-prem, in an Azure SQL database, Azure Synapse database, or Snowflake.
Combine Multiple Systems
Combine multiple source systems, just as ERP, CRM, Payroll, HR, etc. to provide a uniform reporting experience.
Apply business rules when populating the data warehouse to ensure that metrics mean the same thing, no matter which report is run.
Multiple ETL Options
We offer ETL solutions in Azure Data Factor, Azure Synapse, T-SQL, SSIS, Informatica, SnapLogics and others.
We follow the industry-best practice for
data warehousing, which includes facts and dimension tables for easy end-user reporting and adoption.
Optional Data Lake Hosting
To reduce cost, some clients opt to store raw data and/or facts and dimensions in Azure data lake storage.