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The Dangerous World of Self-Service Analytics
Most analytics leaders put self-service analytics at the top of their list of items on their annual roadmap, but they never seem to talk about the potentially disastrous implications of creating self-service tools. Enabling self-service analytics sounds straightforward where data engineering teams work with analytics teams to build dashboards. When
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Organizing Analytics and Data Science Organizations Part 2
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May: Best of the Web
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 articles on applying LLMs to enterprise data, the power of accurate data and its impact on the business landscape, turning company documents into a
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Boosting Productivity Through AI
What is Productivity? Productivity is the cornerstone of business success. It refers to the efficiency of an organization in producing goods or services. Productivity gains can lead to cost savings, increased revenue, and greater profitability. In recent years, artificial intelligence (AI) has emerged as a powerful tool for enhancing productivity.
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Maturing Your Data Strategy: Overcoming External Data Hurdles and Enriching Predictive Forecasts at Scale
Are you struggling to integrate external data sources and build trust in your predictive forecasts? For many enterprises, data and analytics maturity means taking strides in normalizing and scaling alternative data sources, as well as better engagement between D&A leaders and key stakeholders to build a comprehensive data strategy.Join this
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A Practitioner’s Case for Structured Data Discovery
Back in the slammin' 70s, John Tukey published Exploratory Data Analysis, in which he championed the idea of playing around with datasets before jumping into hypothesis testing. Tukey argued that by doing so, one can uncover new information about the data and the topic in question, and develop new hypotheses
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From Hype to Action: Adopting Large Language Models as an Enterprise
In IIA’s 2023 Predictions and Priorities, we made the claim that large language models and generative AI would grow exponentially over the next year. But not even our experts could have imagined the grip LLMs would have on corporate executives and consumers alike at the midpoint of 2023. Surely, this
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Every Journey Needs a MAP
So far in the AYDIJ series, we have explored a framework that has been proven to accelerate your data innovation journey: operating like a startup and thinking like an entrepreneur. In this piece, we focus on how to start your journey, and traverse the exciting and uncertain terrain ahead, while
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What's UnAI-able?
3 human-driven decision-making competencies that every industry needs With months of intense face-to-face discussions on "What can AI do for you," op-ed think pieces, and podcasts, I want to pose the opposite question: What can't AI do? Some individuals will enthusiastically assert, "Nothing. It's the most disruptive and transformative advancement
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June: Best of the Web
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 a case study on a credit union's recent data project improving member service, a cheat sheet for the best ChatGPT plugins for data science,