Data Warehouse Concepts: Assess Your Targets

Find Stakeholders Committed to the Project

Managing the entire process of integrating a DWH solution with your own resources is exhausting and time-consuming. The knowledge gap in the expertise of your IT team, along with an unclear vision of the future project, are key blockers in DWH implementation success.

When you have outlined your strategy and tactics, create a team of stakeholders who express the same level of interest in your project, and commit to its success.

Don’t: Initiate the project if you see that stakeholders are not committed to results and do not contribute.

Do: Find a committed group of stakeholders who have a clear benefit from and interest in the project’s success, and allow this group to facilitate the DWH development process. Preferably, this team should include business decision-makers, tech leaders, and analytics champions (e.g. CDO).

Perform a High-Level Assessment of Your Current and Target States

At this stage, your task is to think over appropriate methods for evaluating the effectiveness of data warehouse implementation for your business and create an elaborate vision of a specific successful business scenario. This means you must understand whether the DWH meets your expectations or not upon its integration.

Don’t: Launch the project without knowing how to assess its success in the future. Simply building and integrating a DWH does not suffice.

Do: Identify metrics to measure DWH implementation success, performance, and adoption by the business. These metrics may include but are not limited to: the speed and scale of data processing, data volume it supports, and how fast new data and analytics use cases can be introduced.

What’s even more important is to envision how end-users will engage with your data, and what will change in their lives. Then, digitize these indicators so you can rely on them while planning your data model and analyze the efficiency of your result later.

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