Remove 2025 Remove Data Transformation Remove Modeling
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CIOs are rethinking how they use public cloud services. Here’s why.

CIO Business Intelligence

By moving applications back on premises, or using on-premises or hosted private cloud services, CIOs can avoid multi-tenancy while ensuring data privacy. That said, 2025 is not just about repatriation. Secure storage, together with data transformation, monitoring, auditing, and a compliance layer, increase the complexity of the system.

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Time for New Partnership Paradigms to Be Future-fit

CIO Business Intelligence

However, this partnership model cannot keep pace with an always-changing technology landscape in which the skill gaps and lack of resources are increasing. The new models recognise this, drawing tech vendors to shift toward innovation-focused roles and become partners in the client’s success.

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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Streaming data analytics is expected to grow into a $38.6 billion market by 2025. The first step is to navigate to the “Data” tab and create a new live model.

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insightsoftware Drives Global Expansion of JustPerform, a Financial Planning, Forecasting, and Closing Companion

Jet Global

March 31, 2025 insightsoftware , the most comprehensive provider of solutions for the Office of the CFO, today announced the global expansion of JustPerform , an all-in-one financial planning, forecasting, and close companion. Simplified Processes: Pick up any process in under five minutes.

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Automating Data Warehouses in the Era of AI, Data Products and Data Lakehouses

BI-Survey

While efficiency is a priority, data quality and security remain non-negotiable. Developing and maintaining data transformation pipelines are among the first tasks to be targeted for automation. However, caution is advised since accuracy, timeliness, and other aspects of data quality depend on the quality of data pipelines.