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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. This development will make it easier for smaller organizations to start incorporating AI/ML capabilities.

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How Data Cleansing Can Make or Break Your Business Analytics

Smart Data Collective

A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. The Global BPO Business Analytics Market was worth nearly $17 billion last year. One of the biggest issues pertains to data quality.

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Big Data for Business: A Requirement for Today’s Business Analytics

David Menninger's Analyst Perspectives

Organizations now must store, process and use data of significantly greater volume and variety than in the past.

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What is a chief data officer? A leader who creates business value from data

CIO Business Intelligence

CDOs are responsible for areas such as data quality, data governance , master data management , information strategy, data science , and business analytics. To whom should the chief data officer report? IDC says 59% of chief data officers currently report to a business leader.

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Getting started with Analytics: Data Challenges

Analytics Vidhya

The post Getting started with Analytics: Data Challenges appeared first on Analytics Vidhya. This article is the third in a series of four, where we mention some of the most discussed points to keep in mind before.

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5 Ways Master Data Management (MDM) Can Organize Your Dynamics ERP Data for Business Intelligence

Jet Global

Here are 5 ways that MDM can help you better organize your Dynamics ERP data for BI and analytics: Simplifies Data Structure. With all of your data mapping to your master data, you get a more clear and controlled view of your operations and how you are performing. Develops Data Governance.

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Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject.

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