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Cloud-Based Data Storage Is Making Manufacturers More Agile

Smart Data Collective

Now is the time for companies deploying limited tools to consider switching to cloud-based data storage and powerful product planning tools. Data silos have become one of the biggest restraints with using linear manufacturing processes. Does the platform eliminate your data silos into one accessible source of truth?

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Sneak peek at Microsoft Fabric price and its promising features

Dataconomy

Unified data storage : Fabric’s centralized data lake, Microsoft OneLake, eliminates data silos and provides a unified storage system, simplifying data access and retrieval. This open format allows for seamless storage and retrieval of data across different databases.

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Eight financial services trends driving the need for better data visualization

Cambridge Intelligence

We’ve recently explored the huge impact of AI in fraud detection – in this post, we’ll look at eight other trends driving demand for better data visualization in the financial services sector. To stay ahead, you need to understand data, quickly. They’re often left with data silos and inefficient duplication of tasks.

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Composable analytics

Dataconomy

Data ingestion: Tools gather data from various sources, providing a holistic view of organizational data. Data preparation: Processes ensure that the data is clean, accurate, and formatted correctly for analysis. Increased flexibility and agility: Easily adapts to evolving business conditions and requirements.

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Democratizing data for transparency and accountability

Dataconomy

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

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Democratizing data for transparency and accountability

Dataconomy

While data democratization has many benefits, such as improved decision-making and enhanced innovation, it also presents a number of challenges. From lack of data literacy to data silos and security concerns, there are many obstacles that organizations need to overcome in order to successfully democratize their data.

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Spatial Analytics 101: Benefits, Use Cases, and Solutions

Precisely

That’s why using location to analyze your business data just makes sense. Leveraging data visualizations can reveal hidden patterns and relationships that move users from “what happened” to “how,” “why,” and “in what context.” This all leads to better insights and decision-making.