Data Warehousing
WHAT IS DATA WAREHOUSING ?
G7 Tech Services is on a mission to help clients organize, extract, transform, and analyze the extensive amounts of data generated by day-to-day operations. One way we accomplish this mission is through our Data Warehousing Services.
Data Warehousing involves collecting data from multiple sources (siloed or not) in a central repository. It is meant to support:
Business Intelligence
Data Analysis
Reporting Activities
to help clients make better and faster strategic business decisions.
G7 DIFFERENCE
At G7 Tech Services, we’re on a mission to help companies across the Big 5 Departments of Finance, Operations, Sales & Marketing, Supply Chain & Demand, and Human Resources to establish a clear business growth strategy.
By integrating superior digital technology into formerly non-digital manual processes, we give our clients the tools they need to provide more value to their customers and employees.
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Data Warehousing allows for a more efficient and streamlined business, which contributes to enhanced performance and increased revenue.
Why Does Data
Warehousing Matter?
Data Warehousing is vital to companies that process significant amounts of data as part of their corporate-level strategy or business-level strategy.
The following are some of the top benefits it offers:
- Increases efficiency by ensuring data is easily accessible
- Provides data quality and consistency while also eliminating repetition
- Allows for easy access to historical data and information on past business activities
- Allows for faster, easier, and more informed decision making
Our Partners
Industries
Industries We Work With
G7 Tech Services currently works with organizations in the following industries, providing corporate-level strategy and business-level strategy support:
PHARMACEUTICALS
OIL & GAS
SPORTS & MEDIA
Don’t see your industry listed? Reach out today to find out how we can serve you!
OUR PROCESS
Data Warehousing Process
1. Identifying Business Objectives
2. Collecting and Analyzing Data
3. Identifying Core Business Processes
4. Construct Conceptual Data Models
5. Set Tracking Duration
