Leverage BizOps to Make Intelligence Actionable

    BizOps for the Data Scientist

    Data is worth more than gold, or so we are often told. But the reality is that companies aren’t using the data they currently have, much less applying machine learning or AI to it. By taking a BizOps approach, you can put intelligence into actionable formats, allowing information to flow readily through the enterprise.

    EMA Report How to Unlock the “Other 50%” of Productivity

    Learn how organizations can leverage BizOps and AI/ML for optimal enterprise efficiency and continuous market alignment.

    Read White Paper

    Maximize the Value of BizOps

    Data-based decision making is great—if you’re using the right data. Don’t let organizational silos create misaligned data sets that skew your decisions. With BizOps, your teams can stop wasting time, focus, and resources on initiatives that aren’t aligned with strategies. Establish implementations that are aligned across these dimensions:

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    Teams Maximize the value of data by cultivating consistent standards and usage. Ensure teams understand how data is being used. Ensure seamless coordination with teams' daily processes and align with key outcomes.
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    Environments Establish a unified data model that spans the silos of the past, while retaining context, enabling unparalleled levels of cross-team visibility and collaboration.
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    Use Cases Harness the repeatable frameworks, unified intelligence, and automation that enable your teams to support more users and use cases—rapidly and efficiently.

    The Business-IT Disconnect is Real, and Real Costly: An AI-driven Approach Can Help

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    0% Say that human workers using AI to support their business decisions ultimately leads to improved decision making.
    source Harvard Business Review Analytic Services, in association with Broadcom, June 2020
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    IDC Report: How BizOps Can Support Crisis Management

    IT leaders have long had to adapt and prepare
    for changes—those demands are now just way
    more intensified. This report details what
    BizOps is, and it shows how CIOs, architects,
    data scientists, and IT product teams can
    harness BizOps to create a customer-centric
    organization that’s equipped for the future.
    Read Report 

    There has long been evidence across many decision domains that data- and analytics-based decisions are more accurate than those made by human intuition.

    Thomas H. Davenport | Harvard Business Review, “What AI-Driven Decision Making Looks Like

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    Building Data Lakes or Data Landfill?

    Are you building data lakes that will deliver
    business value or are you creating a data
    landfill? The reality is that many data lake
    initiatives are doomed from the start. View our
    blog post, and find out how to ensure you
    establish data lakes that offer maximum
    insights.
    View Blog Post

    Data Science that Maximizes Value: Three Architectural Keys

    To keep in front of rapidly evolving technological environments, business requirements, and security threats, your organization needs to augment and automate decision making. Across your organization, teams need to leverage new, advanced solutions that combine advanced AI and machine learning algorithms. These capabilities grow increasingly vital as teams look to pursue their BizOps initiatives.

    Toward that end, advanced AI and machine learning platforms should fully harness big data, integrating business, development, and operations data to generate actionable insights. This is an essential ingredient in helping your teams establish continuous improvement in the business outcomes of digital initiatives.

    At a high level, it’s important to enable teams to access data from across a number of silos, while preserving the context of the source content and enabling this context to be shared efficiently. This contextual, comprehensive visibility is vital in delivering the actionable insights today’s decision makers, developers, and operations teams need. Here’s a brief overview of three key architectural requirements these AI platforms need to address.

    Featured Resources for the Data Scientist

    Sourcing: Gartner, “Align Projects, Products and Outcome Metrics to Business Goals,” January 21, 2020, ID: G00465256, Analyst(s): Lars Mieritz. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
    Analyst Report Gartner: Align Projects, Products and Outcome Metrics to Business Goals

    Leaders must align their projects, products, and portfolios with business goals and demonstrate the value delivered.

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    Analyst Report IDC: The CIO's Guide to Using BizOps for Crisis Management

    BizOps and BizDevOps provide data-driven approaches that help leaders build and execute crisis-driven change strategies.

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    eBook The Definitive Guide to BizOps: Meeting the Digital Transformation Imperative

    To capitalize on BizOps, your teams need a new AI-driven approach that augments and even automates decision making.

    View eBook

    Need help getting started with implementing BizOps in your organization?