Enterprise Data

A holistic approach to the care and use of data within the entire organization. It all begins with strategy and governance. This includes using standards, integration, and quality techniques to ensure the data is of the highest integrity before it’s used for anything like reporting, billing, analytics, and data science activities. These activities can each be addressed individually with projects to help improve data quality throughout its lifecycle. 

Data Governance

We can help you set up a governance committee to handle data efficiently. This includes managing data quality attributes, implementing COTS data governance tools, and custom solutions for the entire data lifecycle.

Database Design & Performance

Efficiently design and implement high-performing servers and file systems. Optimize performance through tuning of queries and tables and inclusion of supporting objects like partitions and indexes.

Business Intelligence

Easily build advanced SQL Server and Power BI reports and Tableau dashboards with dynamic paging and precise object layout.

Data Science

We offer services like governance committee creation, supply chain optimization, demand and time series forecasting, predictive analytics, network flow analysis, and machine learning.

DATA WAREHOUSE & Development

Create and manage data warehouses and pipelines using Azure Data Factory, SSIS, or Informatica. Migrate data from line of business applications, flat files, and between various on-premise and cloud environments. Build a semantic business layer on existing data warehouses.

Partner with us to craft custom solutions that will drive your business forward with complete confidence.

Data Storage SQL & NoSQL

AWS DynamoDB

Azure Cosmos DB

Azure SQL Data Warehouse

Hadoop

Microsoft Azure SQL

Microsoft SQL Server

Mongo DB

Oracle Software

MySQL

PostgreSQL

Snowflake Inc.

SAP ASE

AWS Glue

Azure Data Factory

Informatica

SSIS

Looker

SSRS

Power BI

Qlik

Tableau

R Programming Language

Python

Data is the heartbeat of companies, but not all data is created equal. To ensure that your team is collecting accurate and reliable information, it is important to have strong data quality control in place.