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

Jet Global

After working with many Microsoft Dynamics ERP clients who have faced data quality struggles, we’ve put together a list of 5 top warning signs that there’s something wrong with the data you are using every day. . You are having difficulty securing executive buy-in because report and budget a pprovals are constantly delayed .

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Themes and Conferences per Pacoid, Episode 8

Domino Data Lab

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Consolidation creates a single source of truth on which to base decisions, actions, and reports. Which type(s) of storage consolidation you use depends on the data you generate and collect. . Another option is a data warehouse, which stores processed and refined data. Intel® Technologies Move Analytics Forward.

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

Jet Global

While there’s no doubt about the value of implementing a BI solution, many Dynamics ERP customers face the same data challenges with the quality and credibility of their data before a project even begins. Take a look at the data you need to use in order to get any value from business intelligence and analytics. Download Now.

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What Is a Metadata Management Tool?

Octopai

Metadata management tools help you understand a data asset’s current status, history, and context, and discover how best to use it for the benefit of your organization. Metadata Management is a Strategic Data Imperative Learn why in our white paper which dives deep into the topic Download the White Paper.

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What Is a Data Fabric and How Does a Data Catalog Support It?

Alation

In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more.

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A Beginner’s Guide to Embedded Analytics and BI

Jet Global

Insufficient functionality and dashboards – ISVs face demands from their users to uplevel their reporting (e.g., How Embedded Analytics Boots Data-Driven Applications: The speed at which data comes into organizations is fast and furious.