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Data architecture strategy for data quality

IBM Big Data Hub

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Meaning, data architecture is a foundational element of your business strategy for higher data quality.

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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Comparing Leading BI Tools Key Features and Capabilities When comparing leading business intelligence software tools and data analysis platforms , it is essential to evaluate a range of key features and capabilities that contribute to their effectiveness in enabling informed decision-making and data analysis.

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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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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance.

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How to Do Data Modeling the Right Way

erwin

Data modeling supports collaboration among business stakeholders – with different job roles and skills – to coordinate with business objectives. Data resides everywhere in a business , on-premise and in private or public clouds. Data siloes, of course, are the enemies of data governance.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. Data exploration Data exploration helps unearth inconsistencies, outliers, or errors.

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How to choose the best AI platform

IBM Big Data Hub

Gaining an understanding of available AI tools and their capabilities can assist you in making informed decisions when selecting a platform that aligns with your business objectives. These factors are also important in identifying the AI platform that can be most effectively integrated to align with your business objectives.