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Analytics

How Embedded Analytics Gets You to Market Faster with a SAAS Offering

April 19, 2024 insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. Companies that offer products to their customers demand analytics, all while juggling multiple priorities. Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities.

Exploring the Connection Between Data Governance and Data Quality

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition. It ensures the data is complete, accurate, reliable, and consistent. On the other hand, data governance refers is the overall management, maintaining compliance, and ensuring the security of data assets within an organization.

Capturing the opportunity of AI while keeping an eye on sustainability with STaaS

The ever-growing tide of data, fueled by analytics and AI, places a significant strain on data center resources and increases energy consumption. With more stakeholder scrutiny and evolving regulations, such as the EU’s Corporate Sustainability Reporting Directive (CSRD), and U.S. regulations on the horizon, organizations are taking notice now more than ever before. As a result, organizations are prioritizing sustainability in their IT strategies.

Cloudera Observability - Financial Governance

Managing and forecasting cluster resource consumption costs is a complex task. Inefficient resource allocations and usage can lead to budget overruns and unexpected expenses. The challenge lies in gaining comprehensive insights into your resource consumption across different regions, departments, and user groups. It's also crucial for accurate financial planning. Cloudera Observability provides powerful financial governance capabilities to tackle these challenges effectively by providing unparalleled insight and control over your resource consumption and costs.

A Look Back at the Gartner Data and Analytics Summit

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner. All of that technology, though, depends on data to be successful.

Introducing Qlik's AI Accelerator - Delivering Tangible Customer Outcomes in Generative AI Integration

At Qlik, we're witnessing a thrilling shift in the landscape of data analysis, customer engagement, and decision-making processes, all thanks to the advent of generative AI, especially Large Language Models (LLMs). The potential for transformation across all sectors is enormous, but the journey toward integration can be daunting for many businesses with many leaders wondering where to start in integrating the exciting capabilities of AI into their daily workflows.

How to Navigate the Costs of Legacy SIEMs with Snowflake

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. They have become indispensable for organizations worldwide, particularly for security teams. But as much as security operation center (SOC) analysts have come to rely on solutions like Splunk, there is one complaint that comes up for some: Costs can quickly add up.

Kafka-docker-composer: A Simple Tool to Create a docker-compose.yml File for Failover Testing

Confluent has published official Docker containers for many years. They are the basis for deploying a cluster in Kubernetes using Confluent for Kubernetes (CFK), and one of the underpinning technologies behind Confluent Cloud. For testing, containers are convenient for quickly spinning up a local cluster with all the components required, such as Confluent Schema Registry or Confluent Control Center.