In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […]
Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data
Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]
Vendor-Agnostic Multi-Cloud Management Is a True Game Changer
Global spending on public cloud in 2023 will grow by an estimated 20.7% to $591.8 billion, according to Gartner. The benefits of cloud migration are well known. Inherent variable cost structures enable businesses to evolve away from the traditional fixed-cost methods of managing IT infrastructure, adopting cloud-first models that are controllable, agile, and secure; enable operations to readily scale as needed; and optimize […]
Data Observability: What It Is and Why It Matters
As a process, data observability is used by businesses working with massive amounts of data. Many large, modern organizations try to monitor their data using a variety of applications and tools. Unfortunately, few businesses develop the visibility necessary for a realistic overview. Data observability provides that overview, to eliminate data flow problems as quickly as […]
Is Data the Achilles Heel of AI?
As Benjamin Franklin once said, “Nothing is certain except death and taxes.” Add this 21st-century irrefutable fact: The world can’t live without data. With its numbers, characters, facts, and statistics – the operations performed, stored, and analyzed – data has become an irreplaceable facet of daily life. We use data to identify strengths and weaknesses. It helps […]
The Competition Between On-Prem and Cloud Is Over – Hybrid Wins
Many organizations, when faced with the question of how to manage their workloads, ask themselves: on-premises or cloud, pitting the two against each other. But the reality is that most enterprises are operating in the world of “and,” meaning they have workloads on-prem and in the cloud – and that little three-letter word makes a world of difference. According to the State […]
The Fundamentals of a Data-Driven Approach
Organizations with a data-driven approach cultivate a culture that uses data and business insights to drive all company decisions. A data-driven organization encourages all stakeholders to base everyday business activities on data and insights instead of relying on their gut. In this data-focused business environment, data analysts safely serve as the “eyes” of the business, […]
Democratizing Data to Promote Business Growth
Data democratization, the process of making information accessible to all employees and stakeholders regardless of their technical background, is critical to make data-driven decisions across an organization. However, democratizing data can be complex. Most organizations have a wide gap between business employees, leaders, and data creators due to silos, a lack of data literacy, and a […]
How to Assess Data Quality Readiness for Modern Data Pipelines
For growth-minded organizations, the ability to effectively respond to market conditions, competitive pressures, and customer expectations is dependent on one key asset: data. But having just massive troves of data isn’t enough. The key to being truly data-driven is having access to accurate, complete, and reliable data. In fact, Gartner recently found that organizations believe […]
Database Management Best Practices
Database management best practices promote the efficient use of data throughout the organization. These practices support the collection and storage of quality data, as well as provide easy access to the data by the appropriate people. With today’s data growing in volume and becoming increasingly complex, the intelligent management of data has become a necessity. […]