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May 1 2024

The End of Agile – Part 4 (Lessons from Agile)

In my first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]

A Step Ahead: IoT Data Characteristics — Seven Vs

IoT (Internet of Things) incorporates many new and innovative technologies, such as sensors, smart devices, machine-to-machine communication, networking, advanced computing, and data analytics. One of the keys in the success of IoT is the data that flows underneath these technologies. Naturally, the IoT sensors and devices generate a huge amount of data automatically and continuously. […]

Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier

The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read […]

Data Crime: Arizona Is Not Arkansas

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from mistakes and prevent future data crimes. The stories can also be helpful if you have to explain the importance of data management to someone. The Story After a series […]

Do Citizen Data Scientists Add Value or Is the Concept Mere Buzz?

If you read trade or industry journals or business publications, you have probably noticed that the subject of the citizen data scientist is fraught with controversy. While Gartner and other technology research firms have predicted the growth of this movement and its success, there are those who believe that the concept of citizen data scientists is just a lot of buzz and […]

The End of Agile – Part 1 (A Brief History of Agile)

In recent years, we have seen substantial pushback on many fronts against Agile as a viable and important project management methodology. In my 2016 book, “Growing Business Intelligence”[i] (a book about Agile BI), I quoted from a 2014 article by Dave Thomas, one of the signers of the “Agile Manifesto,” in which he recommended retiring […]

Creative Ways to Surf Your Data Using Virtual and Augmented Reality

Organizations often struggle with finding nuggets of information buried within their data to achieve their business goals. Technology sometimes comes along to offer some interesting solutions that can bridge that gap for teams that practice good data management hygiene. We’re going to take a look deep into the recesses of creativity and peek at two […]

The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics

If you are an IT professional, a business manager, or an executive, you have probably been following the progress of the citizen data scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. In fact, in 2017, Gartner predicted that 40% of data science […]

Eyes on Data: Transforming Data Challenges into Real Progress

In a world increasingly dominated by data, organizations are grappling with the need to effectively manage and harness this valuable asset. And with increased regulations and compliance, opportunities for innovation and AI, digital transformation initiatives, and data-driven decision-making, the demands for accurate, accessible, protected data are increasing exponentially. At the same time, the data management […]

The AI Playbook: Providing Important Reminders to Data Professionals

Eric Siegel’s “The AI Playbook” serves as a crucial guide, offering important insights for data professionals and their internal customers on effectively leveraging AI within business operations. The book, which comes out on February 6th, and its insights are captured in six statements: — Determine the value— Establish a prediction goal— Establish evaluation metrics— Prepare […]

The Currency of Information: Measuring the Value of Data (Part Four)

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean? What is the actual business value of data and information? How can this value be measured? How do we manage data and information as assets? These are some of the questions that I intend to […]

Elevating Data and Analytics for 2024: A GenAI Imperative

As GenAI ascends in priority for CIOs, CDOs, and business leaders, 2023 has placed data and analytics in the spotlight. The hidden challenge is that entities lagging in data industrialization find themselves trailing in business transformation. GenAI and machine learning are touted to address myriad problems. Morgan Vawter, global vice president of data and analytics […]

The Data-Centric Revolution: Best Practices and Schools of Ontology Design

I was recently asked to present “Enterprise Ontology Design and Implementation Best Practices” to a group of motivated ontologists and wanna-be ontologists. I was flattered to be asked, but I really had to pause for a bit. First, I’m kind of jaded by the term “best practices.” Usually, it’s just a summary of what everyone […]

The Role of Dark Data: Uncovering Insights in Unused Information

Dark data remains one of the greatest untapped resources in business. This is due to the vast amounts of usable data that exists within an organization, but is not utilized or analyzed to serve a specific purpose. These untapped sources could include customer information, transaction records, and more. Since dark data represents missed opportunities for […]

Metadata Governance: An Outline for Success (Part Two)

In part one of “Metadata Governance: An Outline for Success,” I discussed the steps required to implement a successful data governance environment, what data to gather to populate the environment, and how to gather the data. In part two, I will discuss the “so what” aspects of data governance — that is, what types of […]

Eyes on Data: The Right Foundation for Trusted Data and Analytics

Trust. Trust is defined as the assured reliance or belief on the character, ability, strength, or truth of someone or something (Webster’s Dictionary). It’s a term we use often to describe how we feel about the people, the institutions, and the things around us. But I would argue that the term “trust” was used differently […]

Synchronized Video Data Collaboration for Multi-Layered Insights

In this digital age, large amounts of data are produced and consumed every second. And particularly for experienced bloggers in the data management or IT industry, synchronized video data collaboration represents an untapped wellspring of potential. By harnessing this data revolution, businesses can gain multi-layered insights into consumer behavior and enhance organizational performance. The Undeniable […]

Self-Service Data Access Best Practices

Today’s digital realm increasingly emphasizes the value of self-service data access. Firms are recognizing its potential to empower users and accelerate decision-making processes. However, with this rapid shift towards democratized data access come challenges that organizations need to address. One central conundrum confronts businesses: How can they provide expansive data access while ensuring that information […]

Crossing the Data Divide: Framework for Selling Data Initiatives

Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of […]

Storytelling with Data: Crafting Compelling Narratives

Imagine you’re in a meeting and the analytics team bombards you with numbers. Sales have dropped by X%. Ad spend has increased by Y%. Cost-per-click is now Z. The meeting ends, and you promptly forget everything. What if the analytics team had instead turned those raw numbers into a memorable narrative? That’s the idea behind […]

Exploring Cloud Computing Risks and Security Hurdles

The worldwide shift toward cloud computing significantly changes how businesses approach data management and operation. Regardless of whether private, public, or hybrid cloud models are employed, the advantages of cloud computing are numerous, including heightened efficiency, reduced expenses, and increased flexibility. Nonetheless, utilizing cloud computing carries potential risks that need to be addressed for sustainable […]

Data Professional Introspective: Accelerating Enterprise Data Quality

My recent columns have focused on actionable initiatives that can both deliver business value, providing a tangible achievement, and raise the profile of the data management organization data management organization (DMO).(For more on the DMO, a plug-and-play initial organization was proposed in an earlier TDAN column, “Coming in from the Cold.”) In that light, let’s […]

Through the Looking Glass: Data Provenance in the Age of Generative AI

Am I right that you can’t open LinkedIn, read a tech or business blog, or attend a conference for more than 30 seconds without encountering the generative AI hype? It’s been this way ever since last fall when OpenAI unleashed ChatGPT upon a (mostly) unsuspecting world. Depending on who you read or listen to, generative […]

Use of Big Data in Investing

In a turn of events unanticipated by most analysts, young people — Gen Zers and Millennials, in particular — are outpacing older generations in 401(k) contributions. Furthermore, young people are investing earlier than ever, with 31% of Millennials having started investing before turning 21. But with growing investment opportunities for young generations and their unprecedented […]

How to Use Analytics in Web Development

It may sound a little dramatic, but in today’s ever-evolving world, data is vital. Data can be huge in boosting your business revenue and exposure. Knowing your data means being able to offer continuous improvement and optimization, which in turn will allow you to deliver even better user experiences. You can track who’s looking at your […]

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🔴 Red Button Data

The End of Agile – Part 4 (Lessons from Agile)

A Step Ahead: IoT Data Characteristics — Seven Vs

Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier

Data Crime: Arizona Is Not Arkansas

Do Citizen Data Scientists Add Value or Is the Concept Mere Buzz?

The End of Agile – Part 1 (A Brief History of Agile)

Creative Ways to Surf Your Data Using Virtual and Augmented Reality

The Role of Citizen Data Scientists vs. Data Scientists in Augmented Analytics

Eyes on Data: Transforming Data Challenges into Real Progress

The AI Playbook: Providing Important Reminders to Data Professionals

The Currency of Information: Measuring the Value of Data (Part Four)

Elevating Data and Analytics for 2024: A GenAI Imperative

The Data-Centric Revolution: Best Practices and Schools of Ontology Design

The Role of Dark Data: Uncovering Insights in Unused Information

Metadata Governance: An Outline for Success (Part Two)

Eyes on Data: The Right Foundation for Trusted Data and Analytics

Synchronized Video Data Collaboration for Multi-Layered Insights

Self-Service Data Access Best Practices

Crossing the Data Divide: Framework for Selling Data Initiatives

Storytelling with Data: Crafting Compelling Narratives

Exploring Cloud Computing Risks and Security Hurdles

Data Professional Introspective: Accelerating Enterprise Data Quality

Through the Looking Glass: Data Provenance in the Age of Generative AI

Use of Big Data in Investing

How to Use Analytics in Web Development

🔴 Red Button Data

🔴 Red Button Data

Category Archives: Business Intelligence News, Articles, & Education