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What Every Business Leader Needs to Know About Data Modeling

Dataversity

But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […].

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Improve Data Governance with These Data Modeling Tips

The Data Administration Newsletter

Data Governance describes the practices and processes organizations use to manage the access, use, quality and security of an organizations data assets. The data-driven business era has seen a rapid rise in the value of organization’s data resources.

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Harrods’ Data Analytics Transformation: Turning Challenges into Insights

Timo Elliott

The challenges were daunting: Siloed Data: Data was fragmented across 18 different SQL servers and multiple other platforms, with no unified system. Lack of Granular Data: Critical business processes werent being captured at the level of detail needed for meaningful analysis.

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What are the Challenges of Applying Machine Learning in Economics and Business?

Analysts Corner

Strategies : Data preprocessing techniques such as imputation for missing values, data normalization, and outlier treatment help clean and prepare data. Additionally, augmenting data with external sources, such as government economic data, can increase data coverage and quality.

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Dark Data: How to Find It and What to Do with It

Timo Elliott

If storage costs are escalating in a particular area, you may have found a good source of dark data. If you’ve been properly managing your metadata as part of a broader data governance policy, you can use metadata management explorers to reveal silos of dark data in your landscape. Storing data isn’t enough.

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The Key Role of the Data Governance Partner

The Data Administration Newsletter

A question was raised in a recent webinar about the role of the Data Architect and Data Modelers in a Data Governance program. My webinar with Dataversity was focused on Data Governance Roles as the Backbone of Your Program.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. SAP Lumira.