Skip to content
  • Services Overview

    Offerings designed to help companies make the transition to data-driven decision making, advanced analytics and AI

  • Expertise Overview

    IIA help clients build capabilities across seven areas critical to building a successful and effective enterprise analytics capability

    • Organization

      Organization models, talent, analytics skills, roles & responsibilities, funding models, etc.

    • Culture

      Analytics maturity, information economies, leadership, decision-making skills, ethics, etc.

    • Process, Methods & Practices

      Analytics techniques, artificial intelligence, business intelligence, agile, visualization, storytelling, UX design, etc.

    • Plans & Programs

      Developing an analytics strategy, building an analytics program, measurement, communication, etc.

    • Demand Management

      Business alignment, operationalization, requirements definition, prioritization, ROI, metrics, etc.

    • Data

      Data strategy, data management, data governance, access, privacy, data engineering, etc.

    • Tools & Technology

      Analytics platform strategy, analytics application lifecycle, Cloud, Dev Ops, tool selection, etc.

  • Resources Overview

    Example insights, frameworks and best practices derived from IIA’s experience working directly with clients

  • Community Overview

    Content designed to share trends, challenges, insights and best practices from our work with clients in the broader analytics community

    • Blog

      Timely, relevant perspectives from IIA leaders and experts based on our experience with clients and unique market perspective

    • Podcast

      Informative and engaging discussions with successful analytics executives from leading companies

    • Events

      Virtual and in person Symposiums with practitioner-driven agendas, collaboration and peer-to-peer networking

    • Roundtables & Webinars

      Regularly scheduled, in depth presentations on topics that matter from IIA executives, experts and thought leaders

  • Company Overview

    Over a decade of experience delivering unbiased research, advisory and assessment services designed to accelerate analytics performance

  • Contact

December: Best of the Web

By
IIA

Read below for a roundup of interesting sites, resources, and articles from around the web, curated and contextualized by unbiased analytics experts at IIA. Highlights include an interview with NVIDIA's CEO on being a leader in times of unprecedented technological growth, a guide on modern data warehousing, and an article demystifying responsible AI adoption. Follow us on Twitter and LinkedIn to receive daily updates on IIA content and curated content as it becomes available.

Featured Articles on Data and Analytics Strategy

What Managers Should Ask About AI Models and Data Sets (MIT Sloan Review)

This blog emphasizes the responsibility of senior business managers to prevent failures by delving into the right data, introducing a framework for context, and providing six crucial questions to ask AI model developers during deployment.

When Analytics Should Drive Sales Decisions — and When They Shouldn’t (HBR)

As AI proliferates in large organizations, companies are using it to offer data-driven recommendations on a wide range of activities, from whom to hire to what product a salesperson should recommend to customers. How much to rely on these data-driven recommendations should hinge on two questions: How high are the decision stakes? And how reliable is the data-driven insight?

Featured Articles on AI and Machine Learning

NVIDIA’s CEO on Leading Through the A.I. Revolution (HBR)

This episode from HBR's "HBR on Leadership" podcast is a thought-provoking conversation with Jensen Huang, NVIDIA CEO, on how to succeed in an era of accelerated change

Demystifying Responsible AI For Business Leaders (Information Week)

As AI rapidly advances, ethical considerations become crucial. Business leaders acknowledge the importance of transparent AI guidelines but often lack a clear understanding of responsible AI usage. IT professionals face challenges due to the swift progress of AI outpacing regulations. This article covers how to tackle ethical and responsible AI, even as the standards to do so are constantly evolving.

Key AI Trends to Look For in 2024 (Information Week)

2024 is poised to be a big year for LLMs. Take a peek at what key trends experts foresee coming in the new year. Topics include enhanced cybersecurity via AI, multi-modal retrieval architectures, and more.

Featured Articles on Data and Culture

Top 5 data stories of 2023: Microsoft’s play in cloud war, Databricks’ acquisition and more (VentureBeat)

In 2023, generative AI took center stage, prompting companies to recognize the importance of clean data and robust infrastructure. This article highlights the 5 best data stories from VentureBeat.

Modern Data Warehousing (Towards Data Science)

This article explores the dominance of modern data warehouses (DWH) in data engineering and emphasizes the benefits of serverless, distributed SQL engines like BigQuery and Snowflake, enabling efficient storage, denormalized schemas, and seamless integration with BI tools

Previous: Creating a Data Strategy Framework, Part 2: Building and Executing on Your Roadmap Next: Creating a Data Strategy Framework, Part 1: Setting a Vision, Assessing Your Current State