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ON DEMAND WEBINAR: Beyond Data Observability

DataKitchen

Do you have data quality issues, a complex technical environment, and a lack of visibility into production systems? These challenges lead to poor quality analytics and frustrated end users. Getting your data reliable is a start, but many other problems arise even if your data could be better.

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Decision Making with Uncertainty Requires Wideward Thinking

Andrew White

COVID-19 and the related economic fallout has pushed organizations to extreme cost optimization decision making with uncertainty. As a result, Data, Analytics and AI are in even greater demand. So conventional wisdom (see second example below) was that you needed to focus heavily on a broad data quality program.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). These changes may include requirements drift, data drift, model drift, or concept drift. Clean it, annotate it, catalog it, and bring it into the data family (connect the dots and see what happens).

Strategy 289
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The state of data quality in 2020

O'Reilly on Data

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Adopting AI can help data quality.

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Data Teams and Their Types of Data Journeys

DataKitchen

One of the most pressing issues is the ownership of databases by multiple data teams, each with its governance protocols, leading to a volatile data environment rife with inconsistencies and errors. The Hub Data Journey provides the raw data and adds value through a ‘contract.

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Boost Data Literacy to Overcome Skills Shortages

Jet Global

From Data Literacy to Fluency: Strategies for Becoming a Data-Driven Organization Download Now Four Steps to Achieving Data Fluency Another recent insightsoftware study , this time on building data fluency, highlights some key steps that organizations can take to shore up data processes and reduce time spent waiting for IT.

Finance 52
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Data Equals Truth, and Truth Matters

erwin

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? Demand trusted insights based on data truths (Drive innovation and assure veracity). Ensure accurate business context and classification of data.