Use the pyramid method to design dashboards that actually get used by executives.

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Our Managed Services team never operates with SLAs. Instead, we rank tickets by priority: high priority / mission critical. We prefer being highly responsive so that we understand the issue and set expectations based on the business need. Not some arbitrary SLA. 

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Self service analytics has been promised ages, but what does it actually come down to? 

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Technology can be incredibly powerful and helpful but you need to understand what those pain points and challenges are first before ever considering what the technology can do to solve them.

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Don't just dump data into a data lake. 

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Sharing data internally can be complicated. You have to use an enterprise level data warehouse, think about security, and get buy-in. This episode shares best practices on how to use the Snowflake marketplace to safely share data. 

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Before implementing a new system, migrating to the cloud, or doing anything that's going to have a major transformation within your business, you want to understand your current state architecture.

Too many organizations pay for tools like PowerBI and Tableau that do the same thing. There's a lot of waste in buying licenses to analytics tools when what the business needs is simply a PDF export. There's a massive opportunity to eliminate what's unneeded and empower users to get more value out of your technology. 

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So much of what is talked about in the data world, either online, or in blogs, or at conferences, everything gives this impression that your data is going to be perfect. But the reality is you need to start somewhere. Start using the data by getting value out of it and then iterate to get value.

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If your organization sells products, you're going to have information related to sales, marketing, finance. Every product is going to have data that people are interested in. However, everyone's data needs are going to be different. Customizing the data to each department expert's needs causes data silos. This is why you need a master data plan. 

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