When people hear AI, they often think of artificial intelligence—a powerful technology transforming industries. But at Kubit, we view AI differently. For us, it stands for Analytics Intelligence, an approach that prioritizes data transparency over the complexities artificial intelligence can create when applied to misunderstood data.
Artificial Intelligence and Misunderstood Data: Adding to the Confusion
While artificial intelligence has immense potential, applying it to poorly understood or siloed data often worsens confusion. It’s similar to automating a flawed process—you’re simply accelerating the problem. When AI is layered on top of this kind of data, the results are typically conflicting insights, incomplete answers, and poor decision-making.
A 2023 report by Forrester found that 60% of decision-makers struggle to trust the data output from AI-driven systems. This is largely due to black-box AI systems, which offer no visibility into how data is processed. Business leaders are often left in the dark about how insights are generated, which breaks down trust and leads to inefficiencies. Moreover, relying on AI to run complex queries without understanding the data sources can be extremely expensive.
The solution? Embrace Analytics Intelligence and lean into data transparency.
Kubit’s Approach to Transparency: Analytics Intelligence in Action
At Kubit, we believe in empowering businesses with full visibility into their data, enabling them to understand and trust the information driving their decisions. Here’s how we make that happen:
1. Open Data Sources and Streamlined Systems
Traditional product analytics solutions, like Amplitude, operate within a black box, leaving users in the dark about how insights are generated. Kubit takes the opposite approach: we open up data sources so users can see exactly where their data comes from and how it’s processed. This transparency eliminates confusion and reduces errors caused by disconnected or misaligned systems.
2. SQL Visibility After Reports Are Built
A common frustration with AI-driven data solutions is the inability to understand how reports are created. At Kubit, we provide full SQL visibility after reports are built. Users can see the exact queries behind every report, giving them full transparency into the logic and calculations used.
This level of insight helps users:
- Identify errors or inconsistencies in reports
- Troubleshoot issues when data seems off
- Refine reports and queries as needed, without guesswork
3. Self-Service Access to Data
Traditional AI systems often centralize data access, making business users reliant on data teams to pull reports or run queries. Kubit changes this dynamic by offering a self-service model, allowing users to access data independently, without needing a data team to mediate.
Benefits of self-service data include:
- Faster decision-making
- Less dependency on technical teams
- Increased agility across departments
4. Removing Data Silos by Keeping All Data in the Warehouse
Data silos—isolated pockets of information stored in different systems—can cause discrepancies and confusion. Many AI systems only layer additional complexity on top of this fragmented data. Kubit solves this problem by keeping all data in the data warehouse, ensuring everyone operates from a single source of truth. This eliminates silos and allows teams to collaborate using consistent, reliable data.
A Future Built on Analytics Intelligence
As businesses grapple with increasing data complexity, relying solely on AI-driven black-box solutions can be risky. The better approach is Analytics Intelligence, which emphasizes transparency and accessibility.
Kubit’s focus on open data sources, SQL visibility, and self-service data access empowers companies to make smarter decisions, faster—without the confusion and inefficiencies artificial intelligence can sometimes create. By keeping all data in the warehouse, we ensure there are no silos, only clear, actionable insights that drive business success.
