Data Management

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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...

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.

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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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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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What is 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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3 analytics and AI trends that will dominate 2021

As enterprises continue to grapple with the pandemic, proving the ROI of analytics and AI, enabling intelligent automation, and leveraging data for diversity, equity, and inclusion will be critical.

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Lockheed Martin accelerates data science with Domino Data Lab

The defense contractor has empowered its data scientists with self-service capabilities and centralized modeling, says Matt Seaman, chief data and analytics officer of enterprise operations.

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What is data analytics? Analyzing and managing data for decisions

Data analytics is a discipline focused on extracting insights from data, including the analysis, collection, organization, and storage of data, as well as the tools and techniques used to do so.

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The new data challenge: Raising your company's ESG IQ

Environmental, social and governance (ESG) issues are now a top board concern, with employees and investors alike expecting companies to take an active role in improving society. CIOs have an opportunity to flex their data management...

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7 tips for modernizing data management

Data is an enterprise's lifeblood. Don't let poor management drain away your organization's most precious resource.

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How DMaaS eliminates data silos and 4 tips for choosing a provider

For CIOs caught in an ever-growing web of complicated data silos, data management as a service can help drive a competitive business advantage.

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9 IT resolutions for 2021

IT leaders share their visions on how they hope to transform their teams, their organizations, and themselves in the new year.

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5 ways to take control of data in 2021

COVID-19 is transforming the way the economy works, guaranteeing that our data needs will also change and grow. Here's what that means for CIOs in the year ahead.

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What is DataOps? Collaborative, cross-functional analytics

DataOps (data operations) is an emerging discipline that brings together DevOps teams with data engineer and data scientist roles to provide the tools, processes and organizational structures to support the data-focused enterprise.

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9 master data management certifications that will pay off

Individuals with expertise in master data management (MDM) are essential to helping organizations get the most out of their data and comply with regulations. Here are the MDM certifications that will give your career an edge.

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Why you need an integrated data lifecycle solution

Data may be the new oil, but do you know how to drill for it? There are many stages in a data lifecycle, which is why you need a way to deal with the entire lifecycle – from drilling to production.

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What is data architecture? A framework for managing data

Data architecture translates business needs into data and system requirements and seeks to manage data and its flow through the enterprise.

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What is a data architect? IT’s data framework visionary

Data architects visualize and design an organization's enterprise data management framework, aligned with enterprise strategy and business architecture.

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