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Analytics

What is Metadata Governance?

Metadata governance is the systematic approach to managing metadata, or data about data, to ensure it is accurate, consistently formatted, and securely stored. The main goal of metadata governance is to improve data quality, ensure data privacy, and streamline metadata management. As metadata provides the necessary details about data, such as when it was created, by whom, and its content or purpose, it becomes easier for employees to find, understand, and trust the data they use.

7 Data Quality Metrics to Assess Your Data Health

No matter their size, all organizations rely heavily on the data they collect and manage. This data ranges from customer information to sales records, employee performance, and more. However, if this data is inaccurate, outdated, or incomplete, it becomes more of a liability than an asset, making it more important to measure its health. To do so, they need data quality metrics relevant to their specific needs.

Learning Qlik Sense: Top Tips for Getting Started with Qlik

Table of Contents April 23, 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. You’ve just decided to start using Qlik within your team. Amazing!

3 Key Drivers and Considerations for AI Analytics in 2024

For independent software vendors (ISVs), creating unique differentiators and value increasingly entails adopting the latest technologies to enhance your product experience, especially in an ever-evolving competitive landscape with multiple new tech solutions. AI analytics is the latest emerging field in business intelligence (BI) solutions that offers new sophisticated capabilities for the user experience (UX) of your product’s analytics component.

Metric Insights by Databox - Unlock Your Metrics Potential

Metric Insights is your new central hub for all things metric performance, helping you to unlock your metrics potential. Regardless of your role, chances are you’re keeping a close eye on a handful of key metrics. Sometimes, that means taking a closer look at a specific metric to help you improve it. Metric Insights can help you do that.

12 Tips for Developing a Successful Data Analytics Strategy

Building a data-driven company starts with having a data analytics strategy. An effective data analytics strategy relies on three key components: people, processes, and data infrastructure. This ensures that your analytics strategy is actionable and accessible to everyone who needs it to make decisions. In this post, we’re sharing 12 tips to help you develop an effective data analytics strategy.

New in Databox: Analyze The Performance of Any Metric or KPI With Metric Insights

Whether you’re a leader, manager, or individual contributor, chances are you need to keep a close eye on a handful of key metrics. If you’re the Sales leader, it might be KPIs like Leads, SQLs, and Close Rate. If you’re running paid ads, it might be Total Ad Spend or Cost Per Conversion. Of course, you can view these metrics on dashboards and get updates through automated reports.