Remove Business Intelligence Remove Data Governance Remove Data Integration Remove Data Strategy
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8 data strategy mistakes to avoid

CIO Business Intelligence

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

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How to rule your data world: The role of data governance

BI-Survey

Data and data management processes are everywhere in the organization so there is a growing need for a comprehensive view of business objects and data. It is therefore vital that data is subject to some form of overarching control, which should be guided by a data strategy.

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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

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What Is Data Modeling? Data Modeling Best Practices for Data-Driven Organizations

erwin

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

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SAP Datasphere review: turning data from a technical problem to a business data product.

Jen Stirrup

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it.

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Estes Express shifts gears on customer experience by streamlining data operations

CIO Business Intelligence

To fuel self-service analytics and provide the real-time information customers and internal stakeholders need to meet customers’ shipping requirements, the Richmond, VA-based company, which operates a fleet of more than 8,500 tractors and 34,000 trailers, has embarked on a data transformation journey to improve data integration and data management.

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How AWS helped Altron Group accelerate their vision for optimized customer engagement

AWS Big Data

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.