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What Does It Mean to be Data Intentional?

In this contributed article, Kevin Harbauer, Chief Technology Officer at Ephesoft, discusses becoming data intentional, sets the stage for why this concept is important and offers four strategies to achieve it. The success of your data intentionality strategy hinges on the effectiveness of your data capture capabilities. Without access to accurate, timely and actionable data, your organization’s plans will fall well short of expectations. Are you ready to become data intentional? 

Heard on the Street – 5/19/2022

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

The Metamorphosis of Data Governance: What it Means Today

In this contributed article, editorial consultant Jelani Harper highlights how despite changing definitions, a more profound—and deceptively subtle—transformation has almost silently wrought data governance into something markedly different than what it was as little as even five years ago.

Achieving Data and Legal Compliance in the Event Industry

In this contributed article, Devin Clearly, VP of Global Events at Bizzabo, discusses how to balance the benefits and risks in the new era of event data and best practices for ensuring data security, privacy and compliance. Data security and legal compliance must be top of mind for today’s event industry organizers. Data is currency in the digital age.

DataSecOps: The Future Of Data Accessibility & Compliance

In this special guest feature, Eldad Chai, CEO & Co-Founder, Satori, discusses how companies can better manage data access by adopting a need-to-know approach that isn’t bogged down by manual processes, custom scripts and disparate tooling. A single integrated approach – known as DataSecOps – will get them there without friction.

2022 Trends in Data Strategy: A New Archetype

In this contributed article, editorial consultant Jelani Harper discusses how selecting the right data strategy that’s applicable to a specific organization is no longer a point of academic interest. Data strategy is the substrate upon which the very notion of data management, and all its dimensions, depends. Developments in this facet of the data sphere directly impact all others, from the rudiments of data governance to advanced analytics spurring time-sensitive action.

In the Roaring 2020s, Data Will Be Your Most Vital Asset

In this contributed article, Dimitri Sirota, CEO and co-founder of BigID, explains why contextual insight and automation is key to understanding data and why so many organizations need to re-think their understanding of effective data management to capitalize on the upcoming boom.

“Above the Trend Line” – Your Industry Rumor Central for 9/24/2021

Above the Trend Line: your industry rumor central is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items grouped by category such as M&A activity, people movements, funding news, financial results, industry alignments, customer wins, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Using Artificial Intelligence Tools to Run Proactive “Health Check” Investigations

In this contributed article David Carns, Chief Revenue Officer of Casepoint, discusses how businesses can use AI to run “health check” investigations preemptively. If your organization is already using an eDiscovery platform with built-in AI tools, it might make sense to explore how you can use those tools for broader data management, information governance, and risk mitigation purposes.

Three Steps to Data Protection – And How They Differ for Structured vs Unstructured Data

In this special guest feature, Scott Lucas, Head of Marketing at Concentric, suggests that compliance is a complex topic, and in this article he addresses the surface of what you’ll need for your particular data and regulatory environment. Having a clear understanding of how to discover, assess and protect structured and unstructured data, and their differences, gives you the foundation you need for an effective and manageable program to protect the PII you manage.