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Manage your data warehouse cost allocations with Amazon Redshift Serverless tagging

AWS Big Data

Amazon Redshift Serverless makes it simple to run and scale analytics without having to manage your data warehouse infrastructure. Solution overview Let’s say that your company has two departments: marketing and finance. Each department has multiple cost centers and environments, as illustrated in the following figure.

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NetSuite adds generative AI to its entire ERP suite

CIO Business Intelligence

NetSuite is adding generative AI and a host of new features and applications to its cloud-based ERP suite in an effort to compete better with midmarket rivals including Epicor, IFS, Infor, and Zoho in multiple domains such as HR, supply chain, banking, finance, and sales. Bill Capture, too, has been made generally available.

IT 131
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4 ways to ensure CEO support for your digital strategy

CIO Business Intelligence

It’s then up to the CIO to sound less like a technical guru and more like the finance, marketing, and payroll people, making it clear that every activity takes place on the IT infrastructure. Data is one of the most important levers the CIO can use to have an effective dialogue with the CEO. Software is invisible.

Strategy 123
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Three Things Finance and Accounting Teams Should Know about Power BI and Risk

Jet Global

In the case of Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) , for example, Microsoft has implemented an intermediary layer of “data entities” that programmers can use to gain access to the ERP data. Power BI Without the Risk.

Finance 52
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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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How DataOps is Transforming Commercial Pharma Analytics

DataKitchen

Part of the data team’s job is to make sense of data from different sources and judge whether it is fit for purpose. Figure 3 shows various data sources and stakeholders for analytics, including forecasts, stocking, sales, physician, claims, payer promotion, finance and other reports. DataOps Success Story.

Analytics 246
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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. We’ve got a trusted brand and we’ve just started to innovate based on our technology and data capabilities,” he says. We’re a Power BI shop,” he says. “I

IT 94