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5 Reasons Manufacturers Should Move ERP Data to Snowflake to Supercharge Analytics

Snowflake

Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.

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The Rise of Cloud Computing in Manufacturing

Knowledge Hut

Unsurprisingly, the manufacturing sector has adopted and embraced Cloud computing to manage its business. Continue reading to learn about the myriad uses of cloud computing in manufacturing and how it can be used in the manufacturing sector. What is Cloud Computing in Manufacturing?

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Real-World Use Cases of Big Data That Drive Business Success

Knowledge Hut

Targeted Marketing & Campaigns: Big data gives telecom companies the ability to divide up their client base, analyze the use patterns and demographic information, and create personalized marketing campaigns and offers that will boost customer acquisition and retention. Challenges and Considerations a.

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Digital Transformation is a Data Journey From Edge to Insight

Cloudera

The data journey is not linear, but it is an infinite loop data lifecycle – initiating at the edge, weaving through a data platform, and resulting in business imperative insights applied to real business-critical problems that result in new data-led initiatives. Fig 1: The Enterprise Data Lifecycle.

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A Guide to Seamless Data Fabric Implementation

Striim

Its flexible and scalable data integration backbone supports real-time data delivery via intelligent pipelines that span hybrid cloud and multi-cloud environments. Striim continuously ingests transaction data and metadata from on-premise and cloud sources.

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Future of Business Intelligence: Top Trends to Watch

Knowledge Hut

Edge Computing Edge computing is a new trend in business intelligence’s future scope that involves analyzing data at the network's edge, closer to the data source. This approach can help businesses to reduce latency, increase data security, and improve data processing speeds.

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What is Data Integrity?

Grouparoo

However, this leveraging of information will not be effective unless the organization can preserve the integrity of the underlying data over its lifetime. Integrity is a critical aspect of data processing; if the integrity of the data is unknown, the trustworthiness of the information it contains is unknown.