How a Small-Scale Modular Data Warehouse Provides Scalable Analytics without the Big Price Tag
What happens to your planned analytics strategy when the world enters an economic downturn? Executives go into survival mode, feeling pressure from dwindling revenue and competing demands from across their operations, and find themselves in a difficult position. Scaling back investments to maintain financial solvency can be a smart decision. However, abandoning analytics projects until the future becomes clearer might be a costly mistake.
Your ability to analyze and act on data assets is a conduit to innovation during unforgiving circumstances. There’s little wiggle room to identify new lessons and opportunities, so the insight you can unlock from a scalable data and analytics solution can be a lifesaver.
This is where a modular data warehouse can fill the intervening gap. Here’s what you need to know about a modular data warehouse solution and how it can help rein in your costs while keeping your organization nimble, both now and in the future.
What is a Modular Data Warehouse?
In a nutshell, a modular data warehouse is a data solution that organizations can rapidly deploy, often within specific departments, to accelerate scalable analytics and drive insights on a tight budget. Think of it this way: if a full-scale data warehouse delivers you a completed house at the end of the project, our smaller-scale data warehouse delivers an excellent foundation for the house with only the kitchen fully built out and functional. With the foundation in place, you can gradually add on as needs are determined and budget becomes available.
With a foundation that focuses on the core essentials for a few targeted use cases, specific departments can begin to cook up insights that drive revenue for your organization and enhance your overall resiliency. Their initial proof of concept offers a guideline for other departments and eventually the whole enterprise to implement full-scale analytics and embrace data-driven decision making. Ultimately, it makes it easier for organizations to scale up their analytics solutions when the time is right.
For example, we recently completed a modular data warehouse solution for a consumer services company in the automotive industry. Reporting was their most pressing need, so we kept it simple and avoided any additional bells and whistles by delivering a foundational data mart with a sales dashboard. It was a laser-focused project at a reduced price point that addressed a specific use case. When they’re ready to scale in the future, the necessary groundwork is ready to make extensibility straightforward.
The Trick to Extracting Business Value Fast
There’s no room for delay during any economic uncertainty, so any new analytics solution you’re considering should maximize the time and deliver immediate results. Here’s what you should expect from any compact solution that you put into service when times are lean.
- Accelerating Your Insight – Eventual revelations are not enough. The internal team relying on accurate reporting needs access to data quickly,and needs to be able to uncover actionable insight even faster. With little time to spare, an experienced partner can efficiently determine your needs, create a foundation, and deliver a practical reporting solution within four to six weeks.
- Promoting Scalability and Extensibility – No practical analytics solution is merely disposable after the initial proof of concept. It should be something you can grow and evolve organically with the right foundation. This means exploring your current state, achievable intermediary state, and desired future state before you move onward. That way, you can create a modular solution that can act as a springboard for a more comprehensive data-driven solution in the future.
- Maintaining Cost-Effectiveness – More than just affordable, you want an analytics solution that maximizes your investment dollars. That requires an implementation team that comprehends analytics best practices to deploy a quality data warehouse or reporting solution at a rapid pace. Moreover, their experience within your industry or particular business area will deliver functionality that accounts for your primary KPIs and aligns with your desired outcomes.
Your team needs incisive practical analytics and reporting tools. Reach out to Aptitive to find out how a small-scale modular data warehouse can provide the perfect solution for here and now.
Fred Bliss is the CTO at Aptitive. He brings over 15 years of experience solving complex business problems through data solutions including cloud integration, data warehouse modeling, ETL, and front-end reporting implementations.