Reinvention runs on data

Building a data strategy is imperative for organizations that want to stay relevant amidst constant change. You need to collect, store, organize, and take action on data to unlock new value such as improving operational efficiency, optimizing processes, developing new products and revenue streams, and building better customer experiences.

  • Harness data to reinvent your organization

    Harness data to reinvent your organization

    To be a leader that's going to reinvent, you have to be relentless and tenacious about getting to the truth. And you have to have the tools to stay agile enough to pivot when needed and jump on new op

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  • Make data a strategic asset

    Make data a strategic asset

    When organizations are able to get insights from their data, they can stay one step ahead of customer needs, competitive pressures, and industry trends. In this eBook, learn from leading organizations

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  • The data-driven enterprise

    The data-driven enterprise

    What exactly does it take to become data-driven, and why is it so important in today’s digital environment? Download the eBook to discover how organizations are using data to drive their businesses fo

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  • The machine learning journey

    The machine learning journey

    Businesses have the opportunity to unlock significant value across the organization with the help of machine learning and AI. Follow the proven path to machine learning success. Read the Machine Learn

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  • Put your data to work with a modern analytics approach

    Put your data to work with a modern analytics approach

    To make decisions quickly, organizations will want to store data in open formats, break down data silos, and manage access to that data. The Lake House approach integrates your data lakes, data wareho

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  • Reinvention starts with cloud migration of your data infrastructure

    Reinvention starts with cloud migration of your data infrastructure

    For organizations running legacy data infrastructure on-premises or self-managed in the cloud, the management of this infrastructure is tedious, time-consuming, and expensive. This eBook will highligh

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  • The data-informed institution

    The data-informed institution

    Around the world, education is in flux, experiencing changes in demographics, student needs and preferences, technology, and budget pressures. Institutions need to adapt quickly—but how?

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  • How data is driving the next generation of medicine

    How data is driving the next generation of medicine

    AstraZeneca has been a global leader in pharmaceutical research and development for decades. Today, the company’s scientists and clinicians are using AI to help redefine medical science in the quest f

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  • MIT Tech Review In unpredictable times, a data strategy is key

    MIT Tech Review In unpredictable times, a data strategy is key

    Ever since the 2020 coronavirus pandemic struck, it has become increasingly obvious that for companies to thrive, they must be able to make quick decisions based on high-quality data. MIT Technology

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  • HBR Reassessing Data-Driven Business Transformation

    HBR Reassessing Data-Driven Business Transformation

    Data is undoubtedly the most important asset of our generation. The cloud has increasingly made it easier to store, process, and analyze data. Becoming a data-driven enterprise allows businesses to ma

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  • CIO Guide: Rewiring your culture to be data-driven

    CIO Guide: Rewiring your culture to be data-driven

    As companies modernize technology infrastructure to capitalize on data-driven decision making and outcomes, efforts to drive cultural and organizational change often take a back seat to technology and

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  • CIO Guide: Modernizing your data infrastructure

    CIO Guide: Modernizing your data infrastructure

    Data has become much more than a business commodity – it is the beating heart of today’s successful organizations. Data drives decisions and solves problems to help an organization become more agile,

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  • CIO Guide: Building a modern strategy for analytics and machine learning success

    CIO Guide: Building a modern strategy for analytics and machine learning success

    In today’s digital environment, data can be overwhelming to organizations large and small. A modern analytics and ML approach will help make data accessible to your entire organization, opening up new

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  • The new leadership mindset for data and analytics

    The new leadership mindset for data and analytics

    Leaders know the importance of data. The challenge is how to put that data to use in order to drive the organization forward. This executive guide from MIT Sloan Management Review provides you with in

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  • A strategic playbook for data, analytics, and machine learning

    A strategic playbook for data, analytics, and machine learning

    Download the IDG CIO Playbook for help refining your data-driven strategy so you can effectively scale analytics and machine learning across your enterprise. Get the guidance you need to accelerate in

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  • The business value of AWS data lakes, analytics, and ML services

    The business value of AWS data lakes, analytics, and ML services

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  • Building a winning data strategy

    Building a winning data strategy

    Successful organizations use data to improve agility and make informed, strategic decisions. This Executive Guide from MIT Sloan Management Review outlines the importance of building a strong data fou

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  • Enabling database excellence - Moving the database to managed services

    Enabling database excellence - Moving the database to managed services

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  • IDC quantifies today's cloud storage services

    IDC quantifies today's cloud storage services

    The economic benefits of cloud storage capacity are well understood, but the long-term value of adjacent storage services is harder for organizations to quantify. These readily accessible services pro

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  • Why do industrial enterprises need a data lake

    Why do industrial enterprises need a data lake

    Learn how data lakes help industrial companies derive the insights, predictions, and models they need to improve processes, optimize output, and deliver high-quality products.

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