Analytics
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How CareSource ditched its data silos
Taking a 'data fabric' approach in its shift from data silos to real-time access, the non-profit managed healthcare plan provider futureproofed its data platform, providing increased agility, interoperability, and accessibility for...
Digital acceleration at Stanley Black & Decker places data at the center
CIO Rhonda Gass explains how a cloud data platform, technology business management framework, and agile architecture are keys to the $14B global company’s digital transformation.
Mars sweetens supply chain with digital twin
The confectionery, pet care, and food company is partnering with Microsoft to replicate its manufacturing operations digitally, a twinning task designed to optimize its supply chain.
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How Mastercard’s decision management platform delivers business value
With 2.5 billion consumer accounts, Mastercard processes 75 billion transactions per year, thereby creating one of the best data sets about commerce in the world. To protect consumers and combat fraud, they created a decision...
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How MassMutual uses data analytics to assess risk
If data is the new oil, the insights that come from analyzing it—make that loads of it—are a goal for companies hungry to satisfy customers and boost revenues. But as IT leaders know, data science is anything but exact and it requires...
How Inspire Brands IT serves up innovation at scale
CIO Raghu Sagi and his team are creating a multitenant architecture to improve customer experiences and worker productivity across seven restaurant brands.
What is master data management? Ensuring a single source of truth
MDM is a set of disciplines, processes, and technologies for managing data about entities, such as products and customers, around which business is conducted.
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GSK takes an agile approach to finding value in data
Join us as GlaxoSmithKline (GSK) shares the company’s strategy for deriving value from its data and developing the experience and expertise to tackle more challenging data projects down the road.
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Driving digital success through analytics: An IDG editors' roundtable
What sort of culture change is necessary for analytics to play a vital role? What’s the role of the “citizen data scientist”? And how do you ensure you’ve got good data in the first place? Join us as our panelists endeavor to provide...
8 secrets of successful AI projects
Artificial intelligence holds great business promise, but it takes more than a working model to create scalable, transformative change
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Real-time analytics: 7 tips for success
Fast and accurate insights are crucial in today’s data-driven world, making real-time analytics essential for many enterprises. Here’s how to get it right.
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How CBRE’s data transformation journey is creating better business outcomes
The commercial real estate industry is experiencing an infusion of investment with $60 billion alone supporting property technologies – or “proptech.” CBRE, the world’s largest commercial real estate services and investment firm,...
Truck maker Oshkosh drives decisions with data
The 104-year-old manufacturer of specialty trucks and military vehicles is leveraging data to optimize its business.
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AI in the enterprise: Succeeding with agile dataOps and machine learning
Recent research finds that 50 percent of companies have adopted AI in at least one business function while the other 50 percent are early in their AI journeys. How can more organizations take steps to get the culture, data, and...
San Jose Sharks build fan engagement with analytics
Seeking better insight into its marketing efforts, the NHL hockey team is breaking down data silos between business functions and leveraging data in new ways to maximize fan revenue.
The dirty secret of data analytics: Culture of honest inquiry required
For far too many organizations, analysis has been corrupted by a culture of tweaking parameters to support desired outcomes. Here’s how to establish an honest path to data-driven decisions.
Domino’s orders up MLOps to speed up data science delivery
The popular pizza maker is tapping into the emerging MLOps field, which helps the company’s data science team refresh data models and push them into production without IT’s help.
4 tips for launching a successful data strategy
Becoming a data-driven company isn't as simple as amassing loads of data. If it were, more companies would already be reaping the rewards. Here, four CIOs offer their experience and advice on getting started turning data into business...
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