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5 Ways Master Data Management (MDM) Can Organize Your Dynamics ERP Data for Business Intelligence

Jet Global

In today’s data-driven world, business intelligence (BI) and analytics play a huge role in better understanding your customers, improving your operations, and making actionable business decisions. Take a look at the data you need to use in order to get any value from business intelligence and analytics.

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5 Signs You’re Using Bad Data to Make Business Decisions

Jet Global

Data is often imperfect and incomplete, but with smart data management, effective data governance, and centralized data storage, you can be well on your way to becoming a fully data-driven enterprise. . Reduce the Risk of Bad Data with Master Data Management (MDM). Download Now.

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Best 10 Dashboard Reporting Tools You Can’t Miss

FineReport

Free Download. Query2Report is an open-source dashboard reporting software that provides a web platform that supports users to build reports/dashboards for business analytics. Support customizing data according to your corporate image Provide built-in templates Issue Indicators. ProjectManager.com. From Google.

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Taming the Tech Stack: Leverage Your Existing Tech Stack Securely With an Analytics Layer

Jet Global

Traditional business intelligence platforms offer another alternative, but full-stack BI solutions tend to be difficult to use and maintain, typically requiring a team of full-time specialists, and little or no self-service capabilities. Application Imperative: How Next-Gen Embedded Analytics Power Data-Driven Action.

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Is Self-Service BI a Hollow Promise or Crucial Capability?

Jet Global

Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. You want to give users in your application access to seamlessly embedded analytics that offers personalized self-service and interactivity. The key is finding the right balance.

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Data Science, Past & Future

Domino Data Lab

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.