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Documenting and Managing Governance, Risk and Compliance with Business Process

erwin

Managing an organization’s governance, risk and compliance (GRC) via its enterprise and business architectures means managing them against business processes (BP). Governance, risk and compliance are treated as isolated bubbles. Data-related risks are not connected with the data architects/data scientists.

Risk 98
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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

This practice identifies and drives digital transformation opportunities to increase revenue while limiting risks and avoiding regulatory and compliance gaffes. Business process modeling is also critical for risk management and regulatory compliance. Try erwin Evolve for yourself in a no-cost, risk-free trial.

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Why Choose a Hybrid Data Cloud in Financial Services?

Cloudera

Managing Cloud Concentration Risk. Cloud Concentration Risk is another topic that is raising in priority somewhat depending on your locale currently that can benefit from a multi-cloud approach. DORA, the EU’s Digital Operations Resilience Act includes as part of its directive a goal to de-risk third-party concentration risk.

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How Errors Propagate If There Is No Single Source of Truth

Jet Global

The only way to avoid the risk of bad decisions is by keeping errors out of the data. Finance professionals frequently pull data out of an ERP, transfer it into Excel, slice and dice the information, and adjust the underlying formulas, all manually. When errors aren’t present, they can’t propagate.

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5 tips for excelling at self-service analytics

CIO Business Intelligence

In my previous company, our advanced material business had a saying, ‘Go fast, take risks, and learn,’” says Keith Carey, CIO at Hemlock Semiconductor, a maker of products for the electronic and solar power industries. Users have freedom to slice and dice the data without technical know-how,” he says.

Analytics 137
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How OLAP and AI can enable better business

IBM Big Data Hub

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Slice-and-dice analysis : OLAP allows users to slice and dice data along various dimensions, isolating specific segments for in-depth analysis.

OLAP 57
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What is Automated Data Discovery?

Octopai

You’re constantly at risk of missing important connections, insights, and relationships within your data that could drive innovation, inspire new business models, and inform both strategic and tactical decisions. – Preparing your data for analysis: What are the relationships between your data sources?