In the ever-evolving landscape of the modern business world, generative artificial intelligence (GenAI) is taking the industry by storm. Companies increasingly recognize the transformative potential of GenAI and machine learning. To harness the full power of these technologies, it is critical for organizations to embrace cloud computing. Cloud migration is not a mere option but […]
Data Governors, First Govern Yourselves
Data Governance, as currently practiced, is failing. There have been some successes, but by and large, even these efforts have fallen short. Worse, many of those tasked with contributing to Data Governance find the effort painful. We have enormous sympathy for data governors. (We use the term “data governors” – DGs – as the most […]
What Is Data Architecture? Components and Uses
Data Architecture describes the infrastructure that connects a Business Strategy and Data Strategy with technical execution. Ideally, Data Architecture happens within a systematic framework, providing a foundation for people and systems to work with data. Three types of components underlie the architecture infrastructure and connect to drive insights, make data-driven decisions, and manage risk. They include: Specific examples of […]
5 Ways to Use Data to Make Workplace Decisions
In today’s rapidly evolving business landscape, decision-making has shifted from relying on gut instinct and the loudest voice in the room to data-driven approaches. In this article, we will explore five powerful ways to harness data for making informed decisions in the workplace, offer practical insights to boost productivity, and explain how to adapt to […]
Getting Executive Buy-in for Data Management
Within the last several years, the marketplace has shifted from industrial-produced to data-based. Consequently, many companies have a strong drive to become data-driven, from financial firms to nonprofits. Yet, when C-suite managers and others discuss making money from data, they see the face of data analytics and Data Science. These conversations miss the Data Architecture and Data Management fundamentals […]
Is Your Data Ready for Generative AI?
Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]
Strong AI/ML Must Be Founded on a Strong Data Strategy
The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]
How Data Governance and Data Literacy Overlap
In today’s tech-driven world, with 120 zettabytes generated annually, most of us already use data – and lots of it. “Everyone who reads a paper or scrolls through the Internet is already acquainted with data,” said Wendy Lynch, founder of analytic-translator.com and Lynch Consulting, in a recent Elevating Enterprise Data Literacy webinar. “We depend on data, compare data, react to data, […]
What Is Data Strategy and Why Do You Need It?
With the increasing amount of data available, businesses need to have a clear, enterprise-wide plan on how to collect, analyze, and use data to make informed decisions. A well-laid-out plan or “Data Strategy” can help businesses identify gaps and take corrective actions to improve operations, enhance customer experience, and drive growth. A strong Data Strategy can also […]
Developing a Data Strategy Template
Organizations want a solid and usable Data Strategy template – a well-thought-out plan for a set of decisions that form a pattern, charting a high-level course of action – but face challenges. For example, only 30% of companies have impactful data strategies that align with some operations, resulting in wasted investments in improving analytics and business insights. Instead, most […]