Data Warehousing
Empower your business reporting with a centralized repository.
Are you ready for the next step in the evolution of your company’s data maturity? Consider a centralized data repository! Using tools such as Snowflake, Salesforce Data 360, or AWS, our data nerds will help you create a centralized repository, talk through record matching and management, optimize performance, and set you up to leverage powerful business intelligence solutions, from dashboards to AI.
Why Your Data Needs a Mansion
Here’s why giving your data this grand new home is a game-changer.
Without a data warehouse, it’s like having books scattered across countless rooms, some in dusty boxes, others in forgotten corners, with no clear catalog.
Implementing a data warehouse is like building a magnificent, perfectly organized central library, complete with a powerful search engine and a team of librarians ready to fetch exactly what you need.
The Benefits of Implementing a Data Warehouse
A Single Source of Truth (SSOT)
No more arguing over whose spreadsheet is “correct.” A data warehouse consolidates all your disparate data sources into one clean, consistent, and reliable repository.
Unleash Powerful Business Intelligence
Data warehouses are optimized for reporting, and organized data allows you to leverage advanced analytics, build dynamic dashboards, and feed clean data into AI models.
Historical Data for Future Insights
Unlike operational systems that often purge old data, a data warehouse stores historical information – allowing trend analysis and year-over-year comparisons.
Scalability for Growth
As your business and data volume grow, a well-designed data warehouse will scale alongside you.
The Case for AI
What’s something that everyone is talking about these days? AI. However, if you want to use AI, you need clean, unified data. Then you need a well-defined semantic layer. (What is a semantic layer, you ask? This is giving a piece of software the tools to translate your data into normal people speech, so you can use it without a computer scientist!)
As a Snowflake partner, our team of data nerds can lead you through not only the strategy, but the implementation of Snowflake’s best-in-class product offerings. We work with clients to create clean solutions and un-silo all that valuable data you have living in the deepest, darkest corners of your team’s storage folders!
Coordona + Snowflake® – Data Nerds Unite!
One reason we are proud to be a Snowflake partner is the ease at which Snowflake helps get businesses up and running with unified data, semantic layers, and agentic outputs. If you are not sure which AI toolset to leverage, Snowflake is our go-to recommendation.
Connect and Share Everything
With Snowflake, we can get all of your applications and business data humming along together in real-time, and available for sharing with all of your business teams in a matter of weeks, not months.
No Data Source Left Behind
From on-site platforms to trusty spreadsheets, or a myriad of cloud apps, with Snowflake’s many connectivity options we can integrate it all in one organized, searchable repository.
Flexible, Fast, and Scalable
The platform’s native multi-clustering and speedy query processing make using your data a breeze. This makes it easy for your workloads to scale instantly as your business and data volume grows.
We’re With You Every Step of the Way
Our data nerds make implementation painless – guiding the strategy to unify your data, creating the semantic layer nomenclature, integrating and implementing everything.
No Micromanagement Needed
After implementation by our data nerds, Snowflake’s architecture requires little-to-no admin. So you can just sit back and enjoy those agentic outputs and come up with new ways to use all your centralized data.
The Perils of the DIY Data Architect: Risks of Not Hiring a Professional to Build Your Data Warehouse
So, you’re convinced your data needs a new home. Great! But building a robust, scalable data warehouse isn’t a weekend DIY project. It’s a complex undertaking that requires specialized expertise. Trying to build it without the right pros is like attempting to build a skyscraper with a hammer and a prayer. Here’s why a professional touch is non-negotiable for your data warehouse journey:
Flawed Architecture & Design
A poorly designed data warehouse is a house of cards. There are security concerns. It won’t scale. It is difficult to maintain. And it will ultimately fail to deliver reliable insights.
Data Quality Nightmares
Without expert-level ETL/ELT processes, data can be loaded incorrectly: garbage in, garbage out – but on a massive scale.
Performance Bottlenecks
An amateur build often overlooks critical performance optimizations.
Real-World Journeys:
What Your Stored Data Can Do!
Our expertise spans a wide range of data warehousing scenarios using many of the leading tools such as Snowflake, Salesforce Data 360, or AWS. We’ll create a centralized repository based on your unique needs, including record matching and management. Then we’ll optimize performance, and set you up to leverage powerful business intelligence solutions, from dashboards to AI.
Frequently Asked Questions
What is a data warehouse?
A data warehouse is a large, centralized database containing historical data from a variety of business source systems and apps in a single location. Storing data enables you to leverage powerful business intelligence solutions, from dashboards to AI, and often comes complete with a powerful search engine.
How does a data warehouse typically work?
- Extract data from the source systems, typically using the APIs provided by the system.
- Load the data as-is to the data warehouse.
- Transform the data once it is in the warehouse, typically by standardizing it and then surfacing it in the reporting layer of the warehouse.
Why do I need a data warehouse?
A data warehouse is a necessity if you want a good shot at quality data analysis and reporting. Some benefits include:
- Access to data across multiple systems: This is the primary benefit of a data warehouse.
- Standardized data: Have you ever tried to filter a report by State only to see options like “Texas”, “TX”, and “texas”? Did you get all the filter options needed? One of the goals of a data warehouse is to try to standardize the data coming from source systems so you only need to find the singular filter option “Texas”.
- Resource efficiency: The alternative to data warehousing is connecting your reporting tools directly to source systems. These queries can slow down your source systems dramatically, leading to many issues for the users trying to use these systems to perform their job. The data warehouse is there to handle the reporting workload which frees up the production system’s resources to act as it was designed.
- Time efficiency: With all data in a standardized format in a single location, analysts can focus their attention on the thing they do best – analyzing data.
What is a semantic layer? And why do I need it?
Is my data safe in a data warehouse?
Yes! All data is safe during the data warehouse process. During transit (extract and load phases), the data is encrypted using HTTPS requests. After the data is in the database, that database is encrypted using Microsoft’s Transparent Data Encryption (TDE).
Need a Custom Data Integration, Migration, or Have a Unique Challenge to Solve?
Engulfed by ETL? Challenged by clickpaths? Drowning from divided attention? We’re the data wranglers you’ve been looking for! Just hand over those open APIs, and before anyone gets hurt, we’ll have your systems moseying off into the sunset in perfect harmony. Let us know your process puzzles and system set-backs and we’ll work with your team to develop a custom solution to meet your needs.