Remove Business Objectives Remove Data Governance Remove Data Integration Remove Risk
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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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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Moreover, BI platforms provide the means for organizations to harness their data assets effectively, leading to improved customer satisfaction through personalized services and targeted marketing initiatives. This includes structured, unstructured, and real-time data, ensuring that the platform can handle diverse data types effectively.

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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. Enrichment typically involves adding demographic, behavioral, and geolocation data.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. To succeed, a deployment must have the support of key business areas, from the get-go. IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation.

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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.

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CIO Bhavani Amirthalingam on driving change in the AI era

CIO Business Intelligence

It’s crucial to design a sustainable architecture with the end goal in mind, ensuring scalability aligns with business objectives. Leaders should view data quality as a strategic asset. High-quality data ensures algorithms are trained effectively, leading to more accurate and reliable AI applications.

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What is Data Classification? Guidelines, Types, & Examples

Alation

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Mitigate Security Risk. Define Business Objectives.