Analytics

Analytics | News, how-tos, features, reviews, and videos

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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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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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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.

Neda Tabatabaie, vice president of business analytics and technology, San Jose Sharks

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.

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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.

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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.

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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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What is data visualization? Presenting data for decision-making

Data visualization is the presentation of data in a graphical format to make it easier for decision makers to see and understand trends, outliers, and patterns in data.

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IT confronts climate change

Data analytics and AI are taking center stage in efforts to combat the fallout of climate change and environmental disasters across the globe.

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Review: 7 Python IDEs go to the mat

Which Python IDE is right for you? Here’s how IDLE, Komodo, LiClipse, PyCharm, Python extension for Visual Studio Code, Python Tools for Visual Studio, and Spyder stack up in capabilities and ease of use.

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DC Water hunts lost water with analytics

Predictive analytics and AI are helping the District of Columbia’s water authority discover water main and sewer pipe breaks proactively.

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5 perspectives on modern data analytics

You can't navigate business challenges without the right instruments. Done right, analytics initiatives deliver the essential insights you need, as these five articles explore.

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Analytics in the cloud: Key challenges and how to overcome them

Moving analytics to the cloud requires new approaches, skills, and architectures compared with analysis done in-house the traditional way.

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Johnson Controls and Microsoft birth ‘digital twin’ for building management

Johnson Controls built its digital twin platform in Microsoft Azure to simulate building management operations.

Faisal Jameel, CTO, NJ Transit

NJ Transit leverages data for bus and rail transformation

NJ Transit CTO Faisal Jameel has launched a data-driven overhaul to transform how the third-largest public transit agency in the US serves its passengers.

Mike Adams, CIO, Brunswick

How Brunswick IT enables digital business

CIO Mike Adams shares how the company has designed its digital and data platforms to put the customer at the center of its products, services, and digital ecosystem, underpinned by enterprise architecture.

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Rethinking data management for faster time to value

Enterprises should abandon traditional ETL approaches and strategies and adopt future state architectures that distribute the data transformation burden.

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Data governance: A best practices framework for managing data assets

Data governance defines roles, responsibilities, and processes for ensuring accountability for and ownership of data assets across the enterprise.

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AI governance: Reducing risk while reaping rewards

With AI moving from pilots to production, enterprises must establish cross-departmental oversight strategies focused on data quality, compliance, ethics, and more.

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