Remove Data Enablement Remove Metadata Remove Software
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A Data Prediction for 2025

DataKitchen

’ They are data enabling vs. value delivery. Their software purchase behavior will align with enabling standards for line-of-business data teams who use various tools that act on data. Data Observability is booming in popularity , with a dozen startups in the space.

Metadata 130
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Data Intelligence in the Next Normal; Why, Who and When?

erwin

The IDC surveys explored how the crisis impacted budgets across different areas of IT, from hardware and networking, to software and professional services. When the pandemic first hit, there was some negative impact on big data and analytics spending. Technical metadata is what makes up database schema and table definitions.

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Collibra Provides a Platform for Data Intelligence

David Menninger's Analyst Perspectives

As I recently noted , the term “data intelligence” has been used by multiple providers across analytics and data for several years and is becoming more widespread as software providers respond to the need to provide enterprises with a holistic view of data production and consumption.

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Advance top 2025 data initiatives with analyst firm-recognized erwin by Quest

erwin

From increasing the strategic use of high-value data across organizations to advancing data and governance efforts to an AI-ready state, expectations are high for the contributions of data professionals in the year ahead. Thankfully, technology can help. Below are quotes about erwin and our offerings from a few key analysts.

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Using DataOps to Drive Agility and Business Value

DataKitchen

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

Metrics 211
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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss prevention (DLP) strives to protect your business data from inside or outside compromise. This includes data leakage, data loss , misuse of data, or data compromised by unauthorized parties. The primary approach of DLP software is to focus on monitoring and control of endpoint activities.

Risk 139
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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain.

Analytics 111