Businesses succeed or fail based on their ability to make sound decisions. Every aspect of an organization’s operation, from the simplest to the most complex, is the result of a series of decisions, each building on the next, from the chairs in the employee lunch room to the million-dollar marketing campaign that will make or […]
The Rise of Cybersecurity Data Lakes: Shielding the Future of Data
The increase in the prevalence and complexity of data breaches points to one conclusion – traditional cybersecurity measures are no longer enough to keep our valuable data safe. According to a recent report, data breaches exposed a staggering 35 billion records in the first four months of 2024. To deal with this escalating crisis, a new solution […]
Output Monitoring to Overcome LLM Vulnerabilities
The vulnerabilities in large language models (LLMs), such as their ability to create hallucinations, their inherent biases, and their susceptibility to corruption, have led to hesitation among businesses in deploying AI applications for business advantage. This concern is compounded further by the lag in legislative regulations to address these risks. Despite these challenges, businesses are […]
Key Steps for Managing Scope 3 Data Efficiently
As the effects of climate change become increasingly clear, businesses today are facing unprecedented pressure to rein in their carbon footprints and to properly account for and disclose their environmental impact. The era of vague, voluntary corporate mission statements on climate-related goals to satisfy internal and external stakeholders’ demands is over. In their place have […]
Data Synchronization: Definition, Tips, Myths, and Best Practices
Businesses rely on accurate, synchronized information to make informed decisions. Because discordant data leads to operational inefficiencies, missed opportunities, and costly mistakes. Hence, a unified, reliable source of truth is key, which is possible through data synchronization. It helps maintain consistency across disparate systems, enhancing data reliability and improving decision-making. So, to get started with […]
Integrate Data Architecture with Business Operations to Boost Success Now
In the contemporary data-driven business landscape, the seamless integration of data architecture with business operations has become critical for success. There is a symbiosis between sophisticated data architectures and operational agility that demonstrates how this integration facilitates real-time decision-making, predictive analytics, and personalized customer experiences. As IT professionals amalgamate data architecture and business operations, they analyze […]
Women in Data: Meet Data Science Leader Sarah Denman
The latest installment in our Q&A series with women leaders in data features Sarah Denman, vice president of data science at 84.51°. (Read our previous Q&A here.) Sarah Denman knows all about managing large groups of people. She leads a team of more than 50 data scientists at 84.51°, a retail data science company that supports […]
Data Architecture Best Practices
The term “data architecture” refers to a collection of implementable standards and protocols that govern the collection, storage, preparation, sharing, and distribution of data. This predefined set of standards and protocols is designed to enhance the scope and purpose of data analysis in the busy business environment. One major problem with traditional data management systems […]
What Is Data Literacy? Definition, Components, Uses
Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively […]
Mind the Gap: The Product in Data Product Is Reliability
Welcome to the latest edition of Mind the Gap, a monthly column exploring practical approaches for improving data understanding and data utilization (and whatever else seems interesting enough to share). Last month, we explored analytics architecture stuck in the 1990s. This month, we’ll look at the rise of the data product. It wasn’t so long ago […]