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How Novanta’s CIO mobilized its data-driven transformation

CIO Business Intelligence

When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting. It was also a lot of churning for the different groups to come up with those data on the weekly, monthly and quarterly basis.” But where to begin? “We Here are some edited excerpts of that conversation.

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The Future of the Data Lakehouse – Open

CIO Business Intelligence

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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The Future of the Data Lakehouse – Open

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

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Why optimize your warehouse with a data lakehouse strategy

IBM Big Data Hub

In a prior blog , we pointed out that warehouses, known for high-performance data processing for business intelligence, can quickly become expensive for new data and evolving workloads. To do so, Presto and Spark need to readily work with existing and modern data warehouse infrastructures.

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How the cloud helps banking and finance companies tackle core modernization challenges

CIO Business Intelligence

Two decades of technology-driven transformation has left many financial services firms with significant complexity and technical debt. With the added challenge for IT leaders in the highly regulated financial services industry is that data security and business resiliency are unassailable business objectives.

Finance 52
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P&G turns to AI to create digital manufacturing of the future

CIO Business Intelligence

P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. It requires taking data from equipment sensors, applying advanced analytics to derive descriptive and predictive insights, and automating corrective actions.

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5 misconceptions about cloud data warehouses

IBM Big Data Hub

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.