Because data resides within separate systems, spread across different departments, it creates various challenges for your employees, the company, and your customers. Therefore, it is necessary to analyze, harmonize, and distribute your relevant data. This can be done using advanced technologies like the Snowflake Data Cloud, among many other methods.
DATA IS STORED IN DIFFERENT LOCATIONS AND IS DIFFICULT TO INTEGRATE
The consequences?
✓ Manual work, duplication, and scattered Excel files.
✓ No single source of truth.
✓ BI reporting is incorrect, incomplete, and slow
DATA QUALITY, ACCESS, AND OWNERSHIP ARE HIGHLY COMPLEX
Consequences:
✓ Data quality is poor and very difficult to assess.
✓ Employees have to retrieve data from all sorts of places
THE IT LANDSCAPE IS A MAZE MADE OF TOOLS AND SYSTEMS
✓ Many-to-many integration is expensive, highly complex, and difficult to maintain.
✓ The IT landscape is challenging to scale.
✓ Teams resort to using shadow IT.
SECURITY, GOVERNANCE & COMPLIANCE IS SUBPAR
✓ Proactive monitoring of threats is impossible. One can merely react to attacks.
✓ GDPR compliance is very challenging.
DATA SILOS: WHY YOU ARE LOSING TIME & MONEY AND ACT BASED ON LIMITED INFORMATION.
DATA SILOS: Why you are losing time and money
CASE: GEN-Z PROOF ARCHITECTURE
Getting the most out of your business with data, what does that exactly mean?
WITHOUT DATA STRATEGY NO AI AND MACHINE LEARNING
At Digital Innovation Blue, we go beyond merely using generative AI tools by individual employees. We apply Machine Learning & AI to your business data and applications. Train and implement models, support your processes, and optimize decision-making.
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