Remove Data Modelling Remove Data Quality Remove Innovation
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Putting the Business Back Into Business Innovation

Timo Elliott

Everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. So innovation has to mean business! It’s not just a technology toolbox, it’s a platform designed to accelerate innovation and unleash your business potential. So how do organizations do that?

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Harrods’ Data Analytics Transformation: Turning Challenges into Insights

Timo Elliott

Backlog of Reports: Migrating legacy reports to SAC consumed significant resources, slowing innovation. Performance and Data Quality Issues: Transitioning to live connections in the new environment revealed gaps in the data models and performance challenges.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

Data Pine

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Why Good Data Management Is Essential to Data Analytics

Insight Software

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

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Unveiling 10.3: Astera Introduces New, Innovative AI Features and Enhanced Capabilities

Astera

Grid View: The Grid View presents a dynamic and interactive grid that updates in real time, displaying the transformed data after each operation. It offers an instant preview and feedback on data quality, helping you ensure the accuracy and integrity of your data.

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Billie Inspires Customer Trust with Tool to Improve Dashboard Reliability

Sisense

VP of Business Intelligence Michael Hartmann describes the problem: “When an upstream data model change was introduced, it took a few days for us to notice that one of our Sisense charts was ‘broken.’ We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan.

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Tableau: 9 years a Leader in Gartner Magic Quadrant for Analytics and Business Intelligence Platforms

Tableau

Our innovations are people-centric by design, helping unlock creativity to solve tangible challenges with data. In addition to technology, Tableau is invested in helping organizations build their Data Culture, so they can be successful with analytics at scale. People love Tableau because it’s powerful, yet intuitive.