Data Governance: Your Key To Unlocking an Insights-Driven Business

Organizations are constantly seeking ways to gain a competitive edge by transforming data into actionable insights through analytics. However, achieving analytical success goes beyond just collecting large volumes of data and building dashboards. The key to turning data into meaningful and actionable insights across the organization lies in a frequently overlooked area – establishing a…

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What Will 2024 Bring to Advance Analytics?

As the amount of data continues to grow, so does the potential for advanced analytics to make sense of it all. In 2024, tremendous progress will be made in analytics, according to our merry band of prognosticators. It’s hard to avoid the siren call of generative AI. But as the calendar flips over in two…

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GenAI’s World-Changing Power Is Putting Knowledge To Work

Generative AI will not just disrupt — it will shatter markets, industries, and economies in waves over the next 10 to 15 years. We sense this, but why and how will this happen? We think that generative AI drives the cost of knowledge activation to zero and creates a virtual knowledge loop that increases what…

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It’s Back to the Database Future for Exasol CEO Tewes

When Joerg Tewes last worked in the database business, the world was just becoming aware of the possibilities of non-relational data models. Fast forward 20 years, and NoSQL databases are commonplace across all industries, and the biggest transition facing the industry is the move to the cloud. As the recently named CEO of German analytics…

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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…

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Machine Learning Use Cases for Data Management

In 2023, machine learning (ML) is a powerful enabler for Data Management, revolutionizing the way organizations handle and analyze vast amounts of data. ML, a subset of artificial intelligence (AI), offers various approaches to tackle Data Management challenges. With the ever-increasing “volume, velocity, and variety of data” being generated today, traditional methods of Data Management have become…

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In Search of Data Model Repeatability

Everybody wants to be data-driven–that much is clear. But that desire doesn’t necessarily translate into real business results, especially in competitive industries like ecommerce. Data quality has long been a burr in the side of would-be data champions. The need to cleanse and normalize dirty and inconsistent data often consumes the lion’s share of the…

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Fundamentals of Real-Time Analytics

In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics…

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Real-Time Big Data Analytics

Businesses today rely on real-time big data analytics to handle the vast and complex clusters of datasets. Here’s the state of big data today:  The forecasted market value of big data will reach $650 billion by 2029.  From 2010 to 2020, there has been a 5000% growth in the quantity of data created, captured, and…

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