Talking Strategy

Data Strategy

You want to improve your business. You know your business drivers, but it’s difficult to get a comprehensive view to inform decisions that shape improvement. You already get reports from your CRM, ERP, and other business tools but you’re not getting the insights you need. So, you get a BI tool and make a dashboard. Problem solved, right? Most of the time it’s not that simple. You answered one question, but opened the door to many more. Even worse, those questions require more data, often from different sources. You need more than a dashboard, you need a data strategy.

Developing Data Strategy

1. Understanding your business objectives.

A successful BI implementation starts with clearly defined, measurable goals. Whether you want to open a new revenue stream, become more competitive, increase efficiency, or something else entirely, our services enable you to accomplish those goals with data. That’s why we start by learning about your business and understanding your business objectives.

2: Accessing your data

If you have data stored in multiple systems, you’re not alone. We can help you access the data from all these sources.

3: Choosing a data destination

Next we decide where to stage it for analytics. We’ll walk you through the latest database technologies and help you decide between cloud or on-premise hosting.

4: Deciding what to integrate — Breadth vs Focus

The data you choose to integrate should align with your specific business initiative, but knowing what data to use is challenging. Should you integrate all of your data sources, or narrow it down? We can help you decide.

5: Managing your data volume

Knowing how much data you have and how that volume will change over time is a critical for scaling your implementation. We plan for this early so your implementation can grow with your business.

6: Determining data freshness

How quickly do you need to make decisions based on new data? We can help make your data match the speed of your business.

7: Maximizing speed

Slow response times aren’t just frustrating, they undermine the success of your entire BI implementation. Planning for the appropriate hardware size, concurrency patterns, and the number queries/users ensures rapid response times. We’ll also look for opportunities to pre-aggregate tables so we can reduce data size where possible and pre-calculate metrics to ensure rapid response times.

8: Maintaining your implementation

It’s only successful if it works long-term. We’ll help you develop an implementation that improves over time and keeps up with your changing business. We encourage an ongoing focus on enablement and training so that your team can master all aspects of your data strategy.

Making Data-Driven Business Decisions Since 2015.

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