Why Most BI Projects Are Doomed to Fail

Business Intelligence (BI) projects—let's face it—are often designed to fail. ❌

😬 Don’t just take our word for it:

• In 2017, Gartner reported that 85% of BI projects fail.
• By 2019, Gartner upped the ante, predicting that through 2022, only 20% of analytics insights would deliver business outcomes.
• VentureBeat wasn’t any more optimistic, revealing that 87% of data science projects never even make it to production.

Fast forward a few years, and not much has changed. 

But here’s the kicker—it’s not the BI tools that are failing. 

They’re doing exactly what they were built to do. 

The problem lies elsewhere. 

Let’s get into why these projects stumble and, more importantly, how you can avoid the same pitfalls.

📈 The Complex Setup of BI Projects 📈

Picture this: 

A new CRO or CMO joins your company, and suddenly, the mandate is to get all your sales, marketing, and finance data into a shiny new data warehouse. 

Easy, right? 

Well, not exactly.

Here’s what you’re up against:

1. Piping the right fields out of operational systems.
2. Setting up ETL processes to move data from operational systems to the data warehouse.
3. Structuring the data warehouse correctly so that the right data flows in.
4. Linking data from multiple systems for comprehensive reporting.
5. Adding a visualization layer on top to make it all look pretty.

Oh, and every time you add a new product line, or when something like GA4 updates (😅), you have to go back and update the whole process. 

One misstep and the entire project could unravel.

❌ The Real Problem with BI ❌

BI systems are static. 

They’re designed for the business you had when you started the project, not the dynamic, ever-evolving beast it becomes. 

So, by the time you’re done building, your BI system is already outdated. 

It’s stuck in a time warp, made for a business that no longer exists.

😨 A Big, Scary Truth 😨

The pace of business is only getting faster. 

What worked yesterday might not work today, and what works today will probably be irrelevant tomorrow. 

This means you need a system that’s as dynamic as your business—a system that can keep up with your ever-changing needs.

🌟Enter Scoop 🌟

Scoop is designed to solve these exact challenges. Unlike traditional BI tools, Scoop doesn’t just report on what happened yesterday. It’s built to move with you, to evolve as your business evolves.

Here’s how Scoop makes a difference:

• Dynamic Data Management: Forget static data models. Scoop dynamically pulls data directly from your operational systems, meaning your insights are always up-to-date, no matter how fast your business changes.
• Flexible Visualization: With Scoop’s unique canvas feature, you can create and update visualizations on the fly, no need to start from scratch every time something changes. Plus, it’s as easy as working in a spreadsheet—no coding required! 😉
• Seamless Integration: Scoop integrates with all your favorite tools—Salesforce, HubSpot, NetSuite, and more—without the need for complex API configurations. Just scoop the data you need and get going!

So, while most BI projects are destined to be static relics of the past, your data doesn’t have to be. With Scoop, your analytics can be as agile and forward-thinking as you are. Let’s move beyond the failures of traditional BI and into a future where your insights keep pace with your ambitions.

Ready to say goodbye to static BI systems? Let’s get scooping! 🚀

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