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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

The CEO also makes decisions based on performance and growth statistics. An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners?

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Project management: Tips, tools, best practices

CIO Business Intelligence

Project management steps Project management is broken down into five phases or life cycle. Each phase intersects with any of 10 knowledge areas, which include: integration, scope, time, cost, quality, human resources, communication, risk procurement, and stakeholder management. Program manager: $85,796.

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The Future of Enterprise Architecture

erwin

Data Security & Risk Management. Innovation Management. For example, a COVID response plan will use EA to document if employees work from home, what their roles are, the projects on which they’re working, and what their schedules are. Digital Transformation. Compliance/Legislation. Artificial Intelligence.

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Everything You Need to Know About Project Management Dashboard

FineReport

What Is A Project Management Dashboard? Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Free Download of FineReport How To Create A Project Management Dashboard Effectively?

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Managing machine learning in the enterprise: Lessons from banking and health care

O'Reilly on Data

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. In the remainder of this post, we'll list the key areas and recommendations covered in SR 11-7, and explain how they are relevant to recent developments in machine learning.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Collect and prioritize pain points and key performance indicators (KPIs) across the organization. On the flip side, document everything that isn’t working. Then move past the executive team.

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The art and science of data product portfolio management

AWS Big Data

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?