Data Warehousing has quickly shifted from an option to a necessity. It brings together a myriad of information sources and enables organizations to oversee Information Management with ease. The fact is, getting a data warehouse project right is an extremely complex endeavor to manage on your own.
Together, we can develop a strategic vision with a dogged focus on monitoring progress and corrections in any misstep. The issue here is that typically, people in an organization who have this broad vision are sitting at an administrative or higher level. They don’t always have the time or capacity to guide creation and implementation through every step.
Meanwhile, those individuals performing specific operational tasks at the lower levels of your organization miss out on valuable insights simply due to their channeled view of the company. These also tend to be the people who possess the specialized skills needed to design the architecture, database, and analytics environment. Unfortunately, this means very few organizations are set up to meet their full data warehousing potential using only some of the employees’ perspectives.
Cue netlogx. Our team of experts can effortlessly design and implement data warehouses that meet your organization’s exact needs. We work hand-in-hand with employees who have provided valuable parts of the process. We are sure to incorporate the lessons we’ve learned from previous projects to take a disciplined approach to project management. Your dedicated netlogx team members won’t just be a passive part of project management; they’ll be at the forefront of the activities to ensure your entire organization’s positive results.
Our iterative and practical approach to data warehouse processes is known for delivering value early. We’ve become masters at avoiding pitfalls like “build it, and they will come” (which is something we don’t see as a compelling business reason) and “trying to think of every use” (which does not manage the scope of the project). Instead, we take a methodical look at your data warehouse and implementation needs by following each of the below steps:
- Learn and analyze your major business processes to better understand your data flow and systems.
- Deep-dive into source systems to understand the data and its associated issues.
- Create an “as-is” data model based on the analysis, showing where we are before the design begins.
- Incorporate your strategic business initiatives into requirements that you know your organization possesses.
- Create the “to-be” logical data model, which will meet your known requirements and expected analysis.
- Create vital core pieces of the physical data warehouse and analytics tools in short yet repeated sprints.
- Continually engage with employees from all levels of your organization to obtain regular feedback.
- Incorporate lessons learned as part of each sprint, thus improving future sprints.
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