Remove Cost-Benefit Remove Data Warehouse Remove Insurance Remove Reporting
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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.

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Combine transactional, streaming, and third-party data on Amazon Redshift for financial services

AWS Big Data

The following are some of the key business use cases that highlight this need: Trade reporting – Since the global financial crisis of 2007–2008, regulators have increased their demands and scrutiny on regulatory reporting. The solution should be scalable, cost-efficient, and straightforward to adopt and operate.

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Data Modeling 101: OLTP data modeling, design, and normalization for the cloud

erwin

Data modeling helps you right-size cloud migrations for cost savings. The cloud offers infinitely scalable resources – but, at a cost. Static overprovisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So that’s $136,000 per year just to run this one data warehouse in the cloud.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Are you seeing any specific issues around the insurance industry at the moment that should concern CDAOs?

Insurance 150
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Four Use Cases Proving the Benefits of Metadata-Driven Automation

erwin

By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. This bureaucracy is rife with data management bottlenecks. Metadata-Driven Automation in the Insurance Industry.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. THE GROWTH OF DATA. zettabytes of data.

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A hybrid approach in healthcare data warehousing with Amazon Redshift

AWS Big Data

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. This is one of the biggest hurdles with the data vault approach. What is a dimensional data model?